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Chapter 1: Introduction
This study was designed to determine whether young adults aged 18-30 years use
complementary and alternative medicine (CAM) modalities in their stress management
practices. Although CAM modalities have become increasingly popular for variety of
purposes, especially in the context of adult users, few researchers have sought the
perspective of young adults. In particular, there is a lack of research on how CAM is used
among young adults, a generation facing high levels of stress (Sifferlin, 2013).
This chapter includes the background of the study; the problem that encouraged
this study; the purpose of the study; the research questions and hypotheses; the theoretical
foundation of the study; the definitions of key terms; the nature of the study; the
assumptions, limitations, scope, and delimitations; as well as the significance of the
study.
Background of the Study
According to the National Center for Complementary and Alternative Medicine
(2008), CAM refers to a group of diverse medical and healthcare systems, practices, and
products not treated as conventional medicine. Complementary and alternative medicine
modalities involve complementary medicine used together alongside conventional
medicine, as well as alternative medicine used in lieu of traditional medicines. In the
United States, around 38% of adults are using CAM modalities (NCCAM, 2008). Around
one of every nine children, or 12%, utilizes CAM (NCCAM, 2008). People from
different backgrounds use CAM, but statistics have shown that these methods are mostly
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used by adults, women, and those with higher income and education levels (NCCAM,
2008). Among the different CAM modalities, non-mineral natural products and non-
vitamins are most frequently used for enhancing therapies such as deep breathing
exercises and meditation (NCCAM, 2008).
People may use CAM for different reasons, and these modalities are used to
respond to an array of diseases and conditions. American adults in particular are likely to
turn to CAM modalities in order to treat musculoskeletal problems such as back, neck, or
joint pain. The use of CAM therapies for head and chest colds increased from 2002 to
2007. Researchers have also noted several trends regarding CAM use among young
people and children (NCCAM, 2008). The 2007 NHIS surveyed adult respondents
regarding CAM use by children within their families or households. The survey found
that 12% of young people use some form of CAM modalities. In particular, young people
whose parents also use CAM use CAM the most frequently. Among the surveyed, 23.9%
parents said that their children also use CAM in a similar manner. Adolescents from ages
12 to 17 years use CAM more than children younger than this range (NCCAM, 2008).
In terms of ethnic background, White children use CAM modalities more than
Hispanic or Black children. There are 5% more White children using CAM modalities
compared to Hispanic children (7.9%) and 7% more compared to Black children (5.9%).
Children whose parents also earned a higher education are also more likely to use CAM
modalities. Regarding health conditions, children with six or more health conditions, as
well as those who were not given conventional care immediately by their families, tend to
use CAM more (NCCAM, 2008).
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Problem Statement
Stress and its effects have been widely studied. However, only recently have
researchers focused on the effects of stress on young adults aged 18-30. Researchers have
shown that cognitive and emotional attributes are critical in determining what coping
strategies these young adults would choose in combatting and managing their stress
levels. Researchers have defined the concept of stress in varying ways across literature.
Delahaij, Dam, Gaillard, and Soeters (2011) defined stress through a biopsychosocial
approach, claiming that it is a form of reaction to the emotional, physiological, and
cognitive state of the individual. Caltabiano, Sarfino, and Byrne (2008) described stress
as a form of discrepancy. According to these researchers, stress is the effect from a
perceived discrepancy between the demands of a situation and the available resources
that an individual can use to cater to these demands. According to this theory, a wider gap
between the demands and the resources creates a higher stress level.
Delahaij et al. (2011) defined coping as the relationship between cognitive and
behavioral processes in trying to close the gap between the demands of a situation and the
resources available to the individual. Coping strategies in general come in two major
types: emotion-focused and problem-focused. Emotion-focused strategies include
regulating an individual’s emotional response to a stressor as well as lessening
psychological discomfort. On the other hand, problem-focused strategies include
changing the situation so that the stressors could be removed or lessened (Delahaij et al.,
2011).
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The effects of daily stressors can be particularly detrimental to the psychological
and physiological health of young people (Yahav & Cohen, 2008). Persike and Seiffge-
Krenke (2012) examined stressors among young people and found that academic
achievement as well as parental control tops the list. The researchers suggested that most
young people are worried about their future education and employment.
Stress and coping researchers have demonstrated that young adults use a wide
range of coping strategies (Moskowitz, Stein, & Lightfoot, 2013). According to Visconti,
Sechler, and Kochen-Ladd (2013), emotional attributes such as self-esteem can affect the
coping strategies or stress management strategies that young people choose. Visconti et
al. claimed that those with low self-esteem would not be able to deal with life stressors
independently, because they do not have the confidence. As a result, these young people
might be more inclined to choose emotion-focused coping. Despite the literature on stress
and stress management of young adults, there is a dearth in the literature regarding using
CAM modalities as stress management strategies among young adults. This is the gap
that the current study was designed to close.
Complementary and alternative medicine has been studied among young adults,
but not in the context of stress management. Seburg et al. (2012) examined the self-
reported use and correlates of CAM among adolescents with juvenile arthritis (JA). The
researchers gathered 134 adolescents with JA and asked them to complete an online
survey regarding their use of CAM, or their interest in using it. The researchers then used
the PedsQL 4.0 SF15 to measure the participants’ quality of life. They found that around
72% of the participants reported using one CAM modality. The participant CAM usage
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was not affected by factors such as sex, age, race, or geographic location. Among the
CAM modalities available, the participants claimed that they use yoga and meditation the
most frequently, as well as relaxation and guided imagery. The researchers also found
that young adults who engaged in massage, meditation, relaxation, or guided imagery use
have higher psychosocial quality of life.
Among the participants who used these CAM modalities, nearly half
(46%) reported that they discuss using these modalities with their healthcare providers.
Those who are not using CAM yet claimed they are interested in doing so, and in
particular are interested in massage (Suberg et al., 2012). The researchers found that
youth with JA reported high use of CAM—however, few are open about it, and they are
unwilling to talk about these modalities with their healthcare providers. The researchers
recommended practitioners engage adolescents in discussions about this form of
treatment.
Upchurch and Dawn (2012) examined the racial and ethnic profiles of
complementary and alternative medicine use among young adults in the United States.
The researchers included variation across subgroups of Hispanics in their research.
Gathering young adults from ages 18 to 27 belonging to Wave III of the National
Longitudinal Study of Adolescent Health, the researchers examined use of 15 specific
CAM modalities, including herbs, massage, chiropractic, relaxation, and vitamins. The
researchers found that around 29% of the participants recently used these
CAM modalities. Among the participants using these modalities, the majority are Cuban
Americans. Black Americans used these modalities the least.
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The use of CAM among young people has also been studied in the context of
cancer survivors. Ndao et al. (2013) investigated the prevalence of CAM use, types and
reasons for use, as well as determinants of use among young people who survived cancer
in their childhood. The researchers asked 197 survivors to complete an interview-based
survey of CAM. The survey specifically measured demographic data of those who used
CAM, the types of CAM used, the purposes behind the CAM use, and whether the
participants who used CAM discussed their use with their healthcare providers. The
majority of the cancer survivors (58%) claimed that they have used CAM in their
survivorship. Among those who used CAM, 72% claimed they utilized biologically-
based therapies. Their reasons for use were reported as to relax and manage their stress
levels. Some said they used CAM methods because their parents wanted them to try the
treatment. The majority of those who used CAM (62%) reported the therapies as
effective. Those who used CAM were split in their responses regarding disclosing or
discussing the use of these treatments with their healthcare providers. Around 51% of the
young adult CAM users claimed that they disclosed their therapies to their physicians.
Complementary and alternative modalities have been used for stress management.
Studies have been devoted to studying the effects of CAM on stress management;
however, there are limited studies looking at which populations use these modalities, and
how they are used among young adults. Most of the studies devoted to the topic have
been focused on adult CAM users. An example of such study would be that conducted by
Tsang et al. (2013). Tsang et al. designed a study to explore the efficacy of implementing
a stress management program based on a combined approach utilizing
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cognitive behavioral therapy and CAM modalities for elementary school teachers in
Hong Kong. These teachers were experiencing mild forms of stress and anxiety
symptoms. The researchers found that those who underwent the combined approach of
CBT and CAM experienced positive results. The teachers experienced a
significant reduction in their depression, anxiety, as well as stress levels. The researchers
concluded the positive effects of CAM in terms of stress management practices and
treatments.
Bazzan, Zabrecky, Monti, and Newberg (2014) looked at the possible uses of
CAM approaches for the management of mood and anxiety disorders. The researchers
found that CAM interventions used for coping with stress, anxiety, and mood disorders
include taking supplements, botanical remedies, spiritual practices, and acupuncture.
Meditation and some dietary practices are also used to cope with stress. The researchers
found growing evidence of the effectiveness of CAM modalities in stress management
practices.
Purpose of the Study
The purpose of this quantitative study was to examine whether variables such as
exposure to CAM, stress level, dispositional coping style, sociodemographic variables,
and social support influence the use of CAM modalities for stress management among
young adults. I used a quantitative cross-sectional correlational study to identify whether
the factors identified in the study influence the dependent variable of the use of CAM
modalities for stress management. I used a survey methodology to gather primary data for
analyses of potential relationships.
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Research Questions and Hypotheses
Research Question 1: To what extent is exposure and knowledge of CAM
associated with the use of CAM modalities for stress management among young adults
participating in the study?
H01: Exposure and knowledge of CAM is not associated with the use of CAM
modalities for stress management among young adults participating in the study.
H11: Exposure and knowledge of CAM is associated with the use of CAM
modalities for stress management among young adults participating in the study.
Research Question 2: To what extent does dispositional coping style influence the
use of CAM modalities for stress management among young adults participating in the
study?
H02: Dispositional coping style does not influence the use of CAM modalities for
stress management among young adults participating in the study.
H12: Dispositional coping style influences the use of CAM modalities for stress
management among young adults participating in the study.
Research Question 3: To what extent do sociodemographic variables influence the
use of CAM modalities for stress management among young adults participating in the
study?
H03: Sociodemographic variables do not influence the use of CAM modalities for
stress management (coping) among young adults participating in the study
H13: Sociodemographic variables influence the use of CAM modalities for stress
management among young adults participating in the study.
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Research Question 4: To what extent does a difference exists in level of perceived
stress among study participants who use CAM modalities for stress management and
study participants who do not use CAM modalities for the stress management?
H04: There is no difference in the level of perceived stress among the study
participants who use CAM modalities for stress management and study participants who
do not use CAM for the stress management.
H14: There is a difference the level of perceived stress among the study
participants who use CAM modalities for stress management and study participants who
do not use CAM modalities for the stress management.
Theoretical Foundation
To understand the variables determining CAM use for stress management and the
effects of CAM use on stress levels of young adults, I deemed that the transactional
model of stress and coping would be the most appropriate theoretical framework. The
model presents an integrated framework in which the stress and coping process is
conceived as a person-environment transaction. The theory posits that when a person is
faced with an external demand or stressor, the first action that the person would take is to
evaluate the extent of threat inherent in the stressor. The person would then take stock of
the material, psychological, or social resources that are available to either eliminate the
stressor, or to manage the physical and emotional response to the stressor (Glanz, Rimer,
& Viswanath, 2008). This model will guide the exploration of whether variables such as
exposure to CAM, stress level, dispositional working style, sociodemographic variables,
and social support could impact the use of CAM modalities for stress management
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among young adults. I will also use this model to examine whether CAM reduces the
stress levels of young adults.
Nature of the Study
I employed a quantitative cross-sectional correlational research design using
primary data collected via validated survey instruments to identify potential relationships
between the study variables and the use of CAM modalities for stress management
among young adults. The dependent variable in this study is the use of CAM modalities
for stress management. Independent variables will include exposure to CAM, stress level,
dispositional working style, sociodemographic variables, and social support.
Researchers may use quantitative methods when the researcher’s goal is to
determine the relationship between variables or to predict outcomes (Babbie, 2012).
Quantitative research methods focus on providing an objective measure, considering
replicable methodologies and generalizable findings (Bryman, 2012). Quantitative studies
consider the use of survey instruments to provide an objective measure of constructs such
as the variables considered in this study in order to collect data and test the hypotheses
posed in this study. As opposed to a qualitative study, a quantitative study is able to
identify relationships between variables considering statistical tests as evidence (Babbie,
2012). I designed this research to evaluate the extent to which the variables of interest are
related, using numeric measures and statistical tests of significance.
A quantitative design is appropriate when the goal of the research is to determine
the extent to which the defined input variables influence the defined outcome variables.
The researcher, therefore, assumes a positivist perspective where empirical investigation
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leads to evidence reflective of the truth. In contrast, qualitative research methods focus on
identifying influential factors and understanding relationships and dynamics that have not
yet been fully explored (Cozby, 2009). Qualitative research is appropriate for
constructing conceptual realities and developing theories, as well as identifying factors
that may be numerically measured and tested in future research. Qualitative research
relies on reasoning around observational or perceptual data that is not numerically
measured. It serves as both a precursor to, and a complement of, quantitative research
(Merriam, 2009). Qualitative studies are inductive by nature and may provide a richer
understanding of the phenomenon under study (Lindlof & Taylor, 2002). A qualitative
design assumes a post positivism perspective, where truth is found in the experiences of
individuals rather than objectively measuring each component of the construct (Babbie,
2012). A qualitative design is not appropriate for this study, because the variables under
review are well-studied and have been numerically supported by prior research. The
relationships to be tested are deductive in nature and are reasonable extensions of the
current body of knowledge.
I used a nonexperimental quantitative cross-sectional correlational research
design. The purpose of this study was to examine the relationship of variables such as
exposure to CAM, stress level, dispositional working style, sociodemographic variables,
and social support to the use of CAM modalities for stress management among young
adults. The target population was young adults 18-30 years old. I utilized a purposive
sampling technique for the study. All potential participants were invited to participate in
the study. I aimed to collect at least 84 participants in order to ensure at least 80% power
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for the results of the statistical analyses. In order to analyze the data collected in this
study, I conducted correlational analysis and linear regression analysis. The results of the
analyses determined which of the variables relate to the dependent variable of the use of
CAM modalities for stress management. A significance level of .05 was utilized for all
statistical analyses.
In this study, I considered the use of CAM modalities for stress management as a
dependent variable. In this study I sought to identify which of the factors identified as
independent variables are significantly related to the dependent variable. Other study
designs are concerned with comparing groups or predicting the dependent variable.
However, because the purpose of this study was to identify potential relationships
between identified variables, I deemed that a correlational design was the most
appropriate.
Definitions of Terms
Complementary and alternative medicine (CAM): According to the National
Center for Complementary and Alternative Medicine (2008), CAM refers to a group of
diverse medical and healthcare systems, practices, and products not treated as
conventional medicine
Stress: Stress is a reaction to the emotional, physiological, and cognitive state of
the individual (Delahaij et al., 2011)
Stress management: Stress management refers to closing the gap between the
demands of a situation and the available resources to the individual. Coping strategies in
general are divided into two major types: emotion-focused and problem-focused.
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Emotion-focused strategies include regulating an individual’s emotional response to a
stressor as well as lessening psychological discomfort. Problem-focused strategies
include changing the situation so that the stressors could be removed or lessened
(Delahaij et al., 2011).
Assumptions
The study was based on two assumptions. First, it was assumed that the sample of
the study is representative of the greater population of young adults. I targeted young
adults aged 18-30 currently enrolled in a small university in southern California that
offers degree programs in the biological and health sciences and in CAM practice.
University students were selected for this investigation because research has
demonstrated that young adults pursing university degrees are exposed to multiple stress
factors including academic concerns, financial demands, employment considerations,
romantic encounters, and the increasing burden of adult responsibilities (Barbist, Renn,
Noisternig, Rumpold, & Hofer, 2008). Although the focus was on university students, it
was assumed that their responses would be representative of the greater young adult
population. In addition, it was assumed that stress management of young adults deals
with daily stress, and not traumatic stress. It was also assumed that a quantitative study
could capture the relationships studied.
Limitations
The study was limited by the population and sample for the study. I targeted
young adults aged 18-30 currently enrolled in a small university in southern California
that offers degree programs in the biological and health sciences and in CAM practice.
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Because of this focus, it was expected that the study findings cannot be generalized. In
addition, the study was limited by the quantitative design, making it impossible to
determine the in-depth perceptions and feelings of the students in question regarding the
use of CAM in their stress management practices.
Scope and Delimitations
The study was limited to the specific university’s students. Because CAM
programs and modalities are major components of this small university’s degree offering,
students, regardless of major, are expected to be exposed to CAM tenets and practices.
However, the findings would not be able to account for the possible variances in
responses due to the students’ field of study. It was reasonable to assume that the students
majoring in the biological and health sciences were potentially less exposed to CAM than
those students who are actively pursuing a degree in a CAM-related field. Although field
of study is not an absolute indicator of CAM exposure—as students not pursing CAM
careers may have had extensive exposure to CAM outside the university setting—it did
limit the sample to a pool of candidates likely to exhibit variation on this key variable.
The study was also delimited to young adults who are aware of what CAM is. Young
adults who are completely ignorant of the nature and function of CAM were not suitable
participants for this study, in that they would lack the key variable of exposure.
Significance
The study is significant because of the detrimental effects of stress on young
people. Increased stress levels in young people’s lives are linked to higher risk of
engaging in dangerous behavior such as alcohol use and drug use (Rose & Bond, 2008).
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Caltabiano et al. (2008) supported this finding, claiming that older adolescents are likely
to practice maladaptive emotion-focused coping strategies to deal with increased stress.
Rose and Bond (2008) claimed that those who are unaware of how to cope with their
increased stress in the healthy fashion may have a higher risk of substance abuse.
Young adult stress is also linked to long-term consequences. According to
Sifferlin (2013), young adults of today’s generation are the most stressed-out subset of
the population, and if the problem is left unaddressed, the consequences would be severe.
Citing a national survey by the Harris Interactive for the American Psychological
Association, Sifferlin claimed that young adults aged 18 to 33 have the highest average
level of stress of 5.4, which means they may bear the brunt of long-term stress effects
over their whole lives. Among the young adults surveyed, 39% claimed that their stress
levels are continuously increasing. Only 29% of the younger generation or 67 and older
population said the same. Alarmingly, the survey showed that young adults are also the
least-equipped to handle the stress that they are feeling.
According to Hais (as cited in Jayson, 2013), “Millennials [those ages 18 to 33]
are growing up at a tough time” (para. 6). Additionally, Hais stated:
They were sheltered in many ways, with a lot of high expectations for what they
should achieve. Individual failure is difficult to accept when confronted with a
sense you’re an important person and expected to achieve. Even though, in most
instances, it’s not their fault—the economy collapsed just as many of them were
getting out of college and coming of age—that does lead to a greater sense of
stress. (para. 6)
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Researchers have also asserted that if stress is left unaddressed, it can lead to chronic
illness and ultimately escalate healthcare costs. Stress is said to be unavoidable among
young adults, but managing it is possible.
Summary
In the first chapter, I discussed the need to examine whether variables such as
exposure to CAM, stress level, dispositional working style, sociodemographic variables,
and social support impact the use of CAM modalities for stress management among
young adults. Aside from discussing the research questions and hypotheses, the
theoretical framework, the definition of terms, and the assumptions, limitations, and the
delimitations, I also provided a brief discussion of what approach was taken to achieve
the purpose of the study. I used a quantitative cross-sectional correlational study to
identify whether the factors identified in the study influence the dependent variable of the
use of CAM modalities for stress management considered. I used a survey methodology
to gather primary data for analyses of potential relationships. The second chapter will
include the review of relevant literature.
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Chapter 2: Review of the Literature
Introduction
The American Psychological Association’s (APA, 2012) survey Stress in America
provided recent data on perceived stress in the United States. According to the report,
survey respondents (n = 2,020) across all age groups indicated that they routinely
experienced significantly more stress than they perceived to be healthy. In addition, 20%
of the sample rated their stress as extreme, 37% of the sample reported feeling
overwhelmed, and 63% of the sample indicated they were doing an average or poor job
of managing their stress load. Given that perceived stress is a more sensitive measure of
the impact of stress on the individual than objectively determined stress (Antonovsky,
1980; Lazarus & Cohen, 1977; Scheier & Bridges, 1995), these perceptions presented a
compelling depiction of a nation at risk for a growing burden of stress-related physical
and mental illness.
Of particular concern are the study findings that younger adults, ages 18 to 33,
experience the highest average levels of stress and report the lowest capacity to
effectively cope with that stress of any participating age group. This age group is
uniquely disadvantaged with respect to stress, and they have the highest potential for
stress-related illness as they transition to independent adulthood, establish themselves in a
career, and launch a family during a period of rapid social change. Researchers have
demonstrated that the pressures associated with a constantly-shifting social milieu strike
hardest at the segment of society most invested in attaining workforce and family
stability (Coreil, Bryant, & Henderson, 2001; Krieger, 2001). Further, the rapid pace of
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technological advancements, coupled with the ongoing restructuring of the American
workforce, suggests that this age group will continue to experience the effects of social
turbulence throughout their young adult years, and take the residual effects of that stress
forward into middle age (Massimini & Peterson, 2009).
The physical and mental health risks associated with this scenario are three-fold
(Gerr et al., 2002; Thomée, Eklöf, Gustafsson, Nilsson, & Hagberg, 2007). First, lifespan
investigations have demonstrated that the negative impacts of stress accumulate over time
(Contrada & Baum, 2011; Turner & Schieman, 2008; Weiten, 2009). The field of
psychoneuroimmunology has further demonstrated that such long-term exposure to
chronic stress results in a prolonged physiological response, termed general adaptation
syndrome, which depletes the body’s resistance to disease and sets the stage for the onset
of illness states; these illnesses are called diseases of adaptation (Craighead & Nemeroff,
2004; Selye, 1936). More recent investigations have identified prolonged stress as an
etiologic agent in cardiovascular disease, cancer, and a host of other ailments most likely
to present in middle age (Antonucci & Jackson, 2010; Kemeny & Schedlowski, 2007;
van der Kolk, McFarlane, & Weisaeth, 1996; Ziegelstein, 2007). These findings
suggested that young adults may be at even higher risk for incurring these illnesses in
midlife than the aging Baby Boomer generation.
The second critical issue is the overwhelming evidence that young adults are more
likely to adopt risky health behaviors as a means of coping with stress. Stress levels in
young adults have been implicated in smoking (Bricker, Schiff, & Comstock, 2011;
Lapointe, 2008; Olpin & Hesson, 2012), alcohol use (Hussong & Chassin, 2004),
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substance abuse (Cooper, Wood, Orcutt, & Albino, 2003; Grant, Potenza, Weinstein, &
Gorelick, 2010; McNamara, 2000) and other high-risk behaviors that offer immediate
short-term solace. These findings were reconfirmed in the Stress in America survey,
where young adult respondents (n = 340) indicated that they were more likely to eat,
smoke, and drink alcohol in response to stress than adults aged 48 and older (APA,
2012). High-risk behaviors carry their own negative health impacts into middle age, and
may also establish addictive or habit-forming behaviors that may impact both short-term
and long-term quality of life (Edelman & Mandle, 2002; Hoeger & Hoeger, 2009; Potts
& Walsh, 2003).
Finally, stress has been consistently negatively associated with mental health
(Bovier, Chamot, & Perneger, 2004; Ensel & Lin, 1991). Among young adults, stress has
been associated with such negative mental health outcomes as depression, somatic
illness, and suicidal ideation (Kail & Cavanaugh, 2010; Stecker, 2004; Turner, Perkins, &
Bauerle, 2008). Consistent with the biopsychosocial model of illness (Engel, 1978),
mental reactions and physical reactions interact to form a potentially toxic brew for
young adults in the United States. Just as perceived stress pushes this age group to
embrace risky health behaviors, the debilitating aspects of the mental response to stress
reduce the likelihood that young adults will select more salubrious coping techniques to
deal with high stress levels. Survey results have indicated that not only are young adults
more likely to engage in high-risk health behaviors as a response to stress, they are less
likely to engage in more positive and health-promoting behaviors to cope with stress
(e.g., exercising or engaging in quiet pastimes) than older age groups (APA, 2012).
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The existing information on the impact of stress on the nation’s young adults has
suggested a collaborative call to action among those engaged in public health, medical
care, and mental health services is necessary. In addition to assessing perceived stress,
sources of stress, and responses to stress, Stress in America gathered information on the
perceptions of Americans on how to address the stress crisis in the United States.
According to the survey section entitled “Missing the Healthcare Connection,” survey
respondents indicated that they favored more input from their healthcare providers to help
manage stress and improve lifestyle behaviors (APA, 2012). This finding led to the
following declaration from APA CEO Norman B. Anderson:
Unfortunately, our country’s healthcare system often neglects psychological and
behavioral factors that are essential to managing stress and chronic diseases. In
order for our nation to get healthier, lower rates of chronic illness, and lower
healthcare costs, we need to improve how we view and treat stress and unhealthy
behaviors that are contributing to the high incidence of disease in the U.S. (APA,
2013)
In actuality, there has been a growing movement to embed effective stress
reduction services in the United States healthcare sector. CAM offers a variety of
prevention and treatment modalities that have proven successful in stress reduction,
including yoga, breathing exercises, meditation, guided imagery, aromatherapy,
acupuncture, massage, progressive relaxation, and Tai Chi. In addition, CAM therapies
are advocated within a holistic wellness viewpoint, rooted in ancient philosophies of
mind-body balance and integration; such an approach has implications for positive
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lifestyle choices (Krebs, 2001; Sanghani et al., 2010; Smeeding, Bradshaw, Kumpfer,
Trevithick, & Stoddard, 2010).
CAM practitioners frequently operate independent practices and accept referrals
from conventional medical care providers (Ehrlich, Callender, & Gaster, 2013). Various
academic medicine health centers across the United States offer a broad array of services
that unite traditional medical services and CAM techniques, using a novel approach to
practice termed integrative medicine (Edwards, 2012; Ehrlich et al., 2013). Examples of
successful public health interventions include the development of a CAM-based
employee wellness clinic for military hospital personnel (Duncan, Liechty, Miller,
Chinoy, & Ricciardi, 2011), and a quick low-cost health promotion stress reduction
program (Sanghani, Deavenport, Herring, Anderson, & Medina, 2008). CAM represents
a stress reduction option with the potential to augment conventional public health,
medical care, and mental health service to address the concern that Americans receive
minimal assistance in their stress management efforts.
The Problem
Although the above scenario has significant appeal, research into the maturation
of the human mind has suggested that the greater inclusion of stress-directed CAM
techniques into the current healthcare system may or may not offer significant
improvements to stress management in young adults. The brain of the adolescent and
young adult is a work in progress, and is not fully developed until the individual reaches
their late 20s (National Institute of Mental Health, 2011; Weinberger, Elvevag, & Giedd,
2005). In addition, the frontal cortex, the seat of decision-making and emotional
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regulation, is the last component of the brain to reach maturity (Caspi, Moffitt, Newman,
& Silva, 1996; Huffman, 2012; Steinberg, Vandell, & Bornstein, 2010). Consequently,
young adults are less capable of making sound decisions and choices than are older
adults.
Additionally, young adults are more likely to be influenced by their emotional
reaction to a situation or by the prompting of their peer group, and are more likely to
allow emotion to bias judgment. Further, young adults have less life experience than
older adults, and are therefore less able to draw on lessons learned under parallel
circumstances to improve response choices. These findings have suggested that high
levels of stress may make it difficult for young adults to select and apply new and
effortful stress reduction strategies into their daily routines. As a counterpoint to this
reasoning, researchers have established that young adults are more open than older adults
to unconventional and holistic therapies (Zimmerman & Kandiah, 2012).
These findings have suggested that alternative healthcare strategies may hold an
emotional appeal for young adults that may facilitate the adoption and maintenance of
CAM techniques, even under conditions of high stress. It is also possible that the
emotional appeal of the CAM philosophy may resonate with young adults and lead to
healthier coping strategies overall. This assessment of human cognition raises the
question of whether or not exposure to CAM techniques and tenets is sufficient to
stimulate the adoption and maintenance of CAM therapies, and to encourage a
substitution of those therapies for potentially-harmful coping behaviors in young adults.
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The Purpose
The purpose of the current investigation was to examine whether stress levels
moderate the relationship between exposure and commitment to CAM therapies, and the
adoption of a pattern of healthier coping strategies among young adults. I targeted young
adults aged 18 to 30 currently enrolled in a local university that offers degree programs in
CAM. Researchers have demonstrated that young adults pursing university degrees are
exposed to multiple stressors, including: academic concerns, financial demands,
employment considerations, romantic encounters, and the increasing burden of adult
responsibilities (Barbist et al., 2008; Goldin, Ziv, Jazaieri, Hahn, & Gross, 2012). To
ensure variation in the independent variable of exposure, I culled study participants from
students who have had extensive, moderate, and no exposure to CAM or CAM
coursework. I assessed stress levels for all study participants, and measured the
dependent variable as the extent to which students either intend to, or have incorporated,
CAM techniques into their stress management routines.
In this chapter, I detail the literature search strategy and the origins, applications,
and appropriateness of the transactional model of stress and coping to the investigation. I
follow the theoretical framework with an evaluation of the applicability of CAM
techniques to stress management in young adults. Next, I will present the literature on
stress and coping in young adults, including an examination of the determinants of stress
in young adulthood, coping and coping dispositions in young adults, an assessment of
college students as representative of the young adult population relative to stress and
coping, and stress management in young adults.
24
Literature Search
To access the literature related to stress and coping among younger adults, I
designed a search strategy. Initially, I located articles using Google Scholar and the
Walden Library, using the same key terms. I accessed the Sage Premier, PubMed, and
ProQuest databases through the Walden University Library. I conducted searches using
Walden’s search service that allows the user to search by topic. This topical search
supported access to databases including Academic Search Premier, CINAHL, and
MEDLINE simultaneously, with “full text,” “written in English,” and “peer-reviewed” as
filtering criteria.
I then reviewed article references to identify relevant articles. When full text
articles were not available through the search engine, I requested these articles through
the document delivery system of the Walden Library system. When multiple studies by
the same researcher were identified, I selected the most recent articles for inclusion. I also
used several textbooks in psychology as research sources. The search terms used were
stress theories, primary appraisal, secondary appraisal, perceived stress, problem
management, emotional regulation, meaning based coping, social support, dispositional
coping styles, stress management, complementary and alternative medicine and stress
management, and younger adults.
Theoretical Foundations
In this study, I adopted the transactional model of stress and coping. The trans
theoretical model of stress and coping is a psychosocial perspective derived from social
epidemiology. Social epidemiology investigates the causal role of social factors in the
25
development of disease and chronic illness (Kisch & Reeder, 1969). Research using the
psychosocial perspective is a multi-disciplinary blend of sociology, psychology, and
medicine that examines the cognitive and physical impact of socially-derived stressors on
the incidence and distribution of disease (Krieger, 2001).
Cassel (1974) established the psychosocial perspective as the recognition that a
significant exposure to psychosocial stressors, in the absence of a corresponding set of
psychosocial supports, increases an individual’s susceptibility to disease and chronic
health conditions. Krieger (2001) acknowledged the dynamic nature of the psychosocial
perspective, observing that it “directs attention from endogenous biological responses to
human interactions. Its focus is on responses to ‘stress’ and stressed people in need of
psychosocial resources” (p. 670). This perspective originated from research into the
physical impacts of stress on the body (Cannon, 1932; McEwen, 1998; Selye, 1978;
Sterling & Eyer, 1988); the research focusing on the psychosocial perspective emerged
from the Freudian tradition, and matured into an examination of the strategies and social
resources people employ to cope with conditions of stress (Antonovsky, 1980; Lazarus,
1993; Lazarus & Folkman, 1984).
Origins of Stress Theories
Cannon’s (1932) work into physiologic homeostasis clarified the fight-or-flight
response in humans and other animals, and was an early examination of the stress
response. Cannon characterized fight or flight as the body’s rapid preparation to either
flee from a dangerous situation or confront the peril if escape is not feasible. Selye (1936)
examined the impact of stress on health by building on Cannon’s insights and extending
26
them to characterize the body’s generalized physiologic response to internal and external
demands. Selye used the term stress as a label for this physiologic dynamic, and
recognized stress as an omnipresent stimulus that flows from multiple sources or
stressors. Selye further recognized that short-term stress, leading to positive
accomplishments, could be beneficial, but that stress that is not positively resolved is
threatening and potentially harmful to the organism.
Selye (1978) later argued that the physiological changes caused by stressful
stimuli constituted a systemic response that the author labeled the General Adaptation
Syndrome (GAS). Selye proposed that stress has differential impacts on the body over
time, and these impacts occur in three stages. In the first stage, the alarm reaction is
triggered by an initial shock that stimulates adrenaline production in preparation for fight
or flight. The resistance stage that follows increases the immune response and extends the
chemical outpouring associated with resisting the threat. If the threat or stress is resolved
at this stage, the body returns to a resting state; if not, the physiological response to stress
ultimately leads to adaptive physical changes that presage the physical and cognitive
illnesses associated with long-term stress, such as hypertension and memory impairment.
In the final stage, exhaustion, the body reserves are depleted and the body becomes
vulnerable to serious illness and death.
Sterling and Eyer (1988) and McEwen (1998, 2005) further clarified the harmful
effects of chronic exposure to stress through their work in allostatic overload. This model
emphasized the relationship of stress and disease, and underscored the need to manage
stress levels. In the absence of a successful adaptive response to stressful stimuli, the
27
body fails to successfully terminate the neural and endocrine cascade triggered by the
emotional and physical response to extreme or chronic stress, even after the stressful
stimuli have been removed. These findings were supported by the work of lifespan
investigators, who demonstrated that the negative impacts of stress accumulate across the
years (Contrada & Baum, 2011; Turner & Schieman, 2008; Weiten, 2009). Further,
recent investigations by psycho-neuro-immunologists have identified prolonged stress as
an etiologic agent in cardiovascular disease, cancer, and a host of other ailments
(Antonucci & Jackson, 2010; Kemeny & Schedlowski, 2007; van der Kolk et al., 1996;
Ziegelstein, 2007).
Just as physiologists have been key researchers into the physical impact of stress
and have linked its impact to acute illness and chronic disease, psychologists have been
key researchers into the impact of stress on mental health and emotional well-being and
have linked that impact to anxiety disorders and cognitive dysfunction (Bard, 1934;
Horney, 1945; James, 1890). James (1890) first conceived of connections between
cognition, emotion, physical sensations, and behavior by postulating that when an
individual perceives an event, he or she reacts physiologically—a sensation the mind
reinterprets as a corresponding emotion that, in turn, arouses the individual and drives
behavior.
Bard (1934), a contemporary of Cannon (1932), provided the first convincing
evidence of emotional arousal in the face of danger, supporting James’ (1890) postulated
link to emotions in the overall response inherent in the fight or flight reaction. Horney
(1945) linked a perceived lack of parental nurturing to feelings of powerlessness and
28
uncertainty that the author termed basic anxiety, thereby linking stress emotions to
circumstances that are not readily construed as dangerous.
Arnold (1960) introduced the idea of cognitive appraisal into emotion research by
suggesting that cognitive assessment influences emotional states. Schachter and Singer’s
(1962) experiments expanded on Arnold’s work by demonstrating that cognitive
assessment is influenced by subtle external cues and complex emotions such as grief,
love, or stress, while simpler emotions such as fear are generated through internal cues
that trigger more immediate behaviors without the need for cognitive processing.
Lazarus (1966) applied these concepts to stress processes by suggesting that a
cognitive assessment of danger actually posed by a given stressor moderates the
emotional and physiologic reaction to that stressor. If the threat is appraised as
inconsequential, the stress response is reduced or suppressed; if the threat is appraised as
consequential, the stress response is heightened. In later work, Lazarus linked appraisal to
situational and environmental variables, suggesting that cognitive appraisal is activated
when personal utility is endangered in the form of circumstances that threaten goals,
motivators, or outcome expectations (Lazarus & Folkman, 1984; Lazarus & Launier,
1978). More recently, Lazarus (1991) differentiated between two forms of appraisal,
defining primary appraisal as the cognitive assessment of the personal relevance of the
threat associated with a given stressor, and secondary appraisal as the cognitive review of
those resources available to control the stress-related outcomes or deflect the emotional
strain associated with the threat. This conceptualization ultimately linked stress theory to
29
the concept of coping, and formed a core set of constructs in Lazarus’ transactional
model of stress and coping (Glanz et al., 2002).
Origins of Coping
Coping has been characterized as a multifaceted response to stress that is
connected to internal and external demands, the environmental context, available
resources, and personality dispositions or traits (Freud, 1936; Haan, 1978; Lazarus, 1966;
Lazarus & Folkman, 1984). The origins of coping are rooted both in Freud’s (1936)
school of psychoanalytic therapy and in the cognitive-psychological paradigm (Folkman,
1991; Somerfield & McCrae, 2000; Suls, David, & Harvey, 1996). The concept of coping
originated with Freud (1895), who concluded that humans employed defense mechanisms
to deal with tensions arising among the rational self (known as the ego), the pleasure-
seeking self (known as the id), and the conscience, (the superego). Freud further
hypothesized that defense mechanisms, including humor, displacement, rationalization,
projection, repression, sublimation, and denial reduce anxiety by distorting reality to
prevent people from becoming emotionally overwrought (Moos & Schaefer, 1986).
Freud’s (1936) major concepts were extended and expanded by a series of
psychoanalytic scholars. Anna Freud augmented her father’s work by noting that
individuals used preferred defensive styles to reduce internal conflict (Freud, 1936). Haan
(1978) and others broadened the concept of defensive conflict management to include
external demands (Menninger, 1967; Vaillant, 1995). Goldstein (1993) was instrumental
in expanding the Freudian defense mechanisms to include personality traits and
behavioral responses. Researchers have observed that coping strategies are very helpful,
30
and at the same time portray defensiveness that contributes to the maturity of an
individual’s moral behavior (Haan, 1978).
The psychoanalytic ego defense paradigm remained the major conceptual model
of coping until the late 1960s, when it was supplanted by Lazarus’ cognitive approach.
Lazarus (1984) conceived of coping as part of a decision-making model that included
elements of information processing interwoven with many of the concepts that had been
proffered by Freud’s followers (Folkman & Moskowitz, 2004; Lazarus, 1966, 1993;
Lazarus & Folkman, 1984; Suls et al., 1996). By emphasizing cognition, Lazarus moved
coping out of the realm of the subconscious, and showcased the concept as a considered
response to a stressful situation (Leventhal, Meyer, & Nerenz, 1980).
According to Lazarus, coping is linked to stress both cognitively and
emotionally—a relationship that mirrors the conceptual physiologic outcomes of stress as
conceived by the stress theorists (Holmes & Rahe, 1967; Lazarus & Launier, 1978;
Scheier, Weintraub, & Carver, 1986). Lazarus provided a context for the stress-coping
dynamic by suggesting that stress is evaluated or appraised by the individual to determine
the extent of personal threat posed by the stressful situation, and the extent to which
resources are available to either deal effectively with the stressful circumstances or to
restore a sense of well-being within the stressful context (Zeidner & Saklofske, 1996).
Coping is then viewed as a mobilization of internal or external resources to manage the
stressful demands (Leventhal et al., 1980).
Lazarus (1977) further married concepts from the psychoanalytic perspective of
coping to the cognitive paradigm by acknowledging that coping manifests in an
31
emotional environment, and that coping choices may be roughly divided into two modes:
the problem-focused mode, consistent with the cognitive school of thought, and the
emotion-focused mode, directed toward emotional relief and consistent with the
defensive mechanisms originally explored by Freudian scholars (Aldwin & Revenson,
1987). In addition, Lazarus acknowledged the predispositional trait theories espoused by
Anna Freud and Byrne (1936) by indicating that the choice among potential coping
behaviors is a function of individual predisposition style (Brandtstädter, 1992).
Since Lazarus (1966) first introduced the basic elements of the cognitive model,
coping research has burgeoned with researchers examining each element of the model, as
well as the model as a whole, to better understand the complexity, structure, and
interrelatedness of the constructs (Folkman, Lazarus, Dunkel-Schetter, DeLongis, &
Gruen, 1986). The model, consequently, has continued to evolve; however, the
transactional premise remains the major conceptual framework through which stress
management efforts continue to be evaluated (Hobfoll, 2001; Piko, 2011; Scheier et al.,
1986). The most current adaptation of the model is presented below.
The Theory
32
The transactional model of stress and coping is the culmination of Lazarus’s
(1984) examination of the cognitive and emotional relationship between stress and
coping. The model presents an integrated framework in which the stress and coping
process is conceived as a person-environment transaction. According to this
conceptualization, when a person is faced with an external demand or stressor, the person
responds by first evaluating the extent of threat inherent in the stressor, and second by
taking stock of the material, psychological, or social resources that are available to either
eliminate the stressor, or to manage the physical and emotional response to a significant
threat (Antonovsky & Kats, 1967; Cohen & Wills, 1985; Lazarus & Cohen, 1977). The
most current version of the model, the Lazarus and Folkman rendition (1984), is
presented in Figure 1 (Glanz, Rimer, & Viswanath, 2008).
Figure 1. Transactional model of coping stress. From Health behavior and health
education: Theory, research, and practice (4th ed.), by Glanz et al., 2008.
33
Key Concepts of the Model
The transactional model of stress is comprised of three primary elements: (a)
primary appraisal, (b) secondary appraisal, and (c) coping efforts. Coping efforts are
directed toward problem management, emotional regulation, or meaning-based
interpretations. The model also includes the outcomes of coping and the role of
dispositional coping in supporting optimism and promoting information seeking
behaviors. Table 1 depicts the key components of the transactional model. Each of these
elements is explored in detail in the subsequent sections.
Stress appraisal. The stress appraisal process is the component of the model that
evaluates the level of the threat posed by a given stressor or set of stressors (Glanz et al.,
2008). The appraisal process is divided into two parts: the assessment of the personal
significance of stressors, termed the primary appraisal, and the personal resource review,
termed the secondary appraisal. Together, these two appraisals constitute the magnitude
and controllability of the perceived threat (Bandura, Cioffi, Taylor, & Brouillard, 1988).
Researchers have frequently measured the magnitude of the physical and emotional
reaction to this threat as the perceived stress level (Cohen & Williamson, 1991). Most
researchers have examined these two variables in conjunction with each other; however,
a few studies have highlighted the individual contributions of each appraisal component.
34
Table 1
Key Concepts of the Model
Concept
Definition
Application
Primary appraisal
Evaluation of the
significance of a stressor or
threatening event
Perception of an event as
threatening can cause
distress. If an event is
perceived as positive,
benign, or irrelevant, little
negative threat is felt
Secondary appraisal
Evaluation of the
controllability of the
stressor and a person’s
coping resources
Perception of one’s ability
to change the situation,
manage one’s emotional
reactions, or cope
effectively can lead to
successful coping and
adaptation
Coping efforts
Problem management
Emotional regulation
Meaning-based coping
Actual strategies used to
mediate primary and
secondary appraisals
Strategies directed at
changing a stressful
situation
Strategies aimed at
changing the way an
individual thinks or feels
about a stressful situation
Coping process that
induces positive emotions,
which in turn sustains the
coping process by allowing
reenactment of problem or
emotions focused coping
Active coping, problem-
solving and information
seeking can be used
Venting feelings,
avoidance, denial, and
seeking social support may
be used
Positive reappraisal,
revised goals and spiritual
beliefs are experiences and
positive events occur
Outcomes of coping
Emotional well-being ,
functional status, health
behaviors
Coping strategies may
results in short and long-
term positive or negative
adaptations
(Table continues)
35
Concept
Definition
Application
Generalized ways of
behaving that can affect a
person’s emotional or
functional reaction to a
stressors relatively stable
across time and situations
Tendency to have
generalized positive
expectancies for outcomes
Attentional styles that are
vigilant versus those that
involve avoidance
Optimists may experience
fewer symptoms or faster
recovery from illness
Monitoring may increase
distress and arousal, it may
also increase active coping.
Blunting may mute
excessive worry but may
reduce adherence
Note. From Health behavior and health education: Theory, research, and practice (4th
ed.), by Glanz et al., 2008.
Key Dimensions of the Transactional Model of Stress
Primary appraisal. Primary appraisal is a person’s conscious judgment about the
stressful situation (Glanz et al., 2008). Croyle and Sande (1988) examined the influence
of primary appraisal in threat assessment by conducting an experiment in which
intervention subjects were told that they had demonstrated abnormalities in a test for a
fictitious enzyme disorder, while control subjects were told their test results were normal.
Intervention and control subjects were then asked to assess both the seriousness of the
disorder and the accuracy of the test results.
Intervention subjects rated the disorder as significantly less serious, and the
enzyme test as significantly less valid, than did control subjects. Croyle and Sande (1998)
concluded that individuals may discount a threat during primary appraisal as a
36
mechanism for blunting the impact of threatening information (Croyle & Sande, 1988;
Ditto, 1995). This indicated that threats may be initially discounted by individuals during
their primary appraisal as a coping mechanism.
Smith and Lazarus (1993) examined the impact of primary appraisal on an
individual’s stress level. The investigators demonstrated that stressors appraised as
significant threats to personally important goal attainment resulted in significantly higher
levels of anxiety than stressors that did not threaten personally-important goals. The
researchers concluded that goal attainment is a major consideration in the threat-appraisal
process, and that threats to goal attainment are likely to be perceived as more stressful
than those threats that are not associated with goals (Smith & Lazarus, 1993).
Devonport and Lane (2006) noted that the perception of threat may be
exaggerated or mitigated, depending upon whether the individual perceives the threat to
be under their control. The researchers examined gender differences in the primary
appraisal process among students about to submit their dissertation. Study results
demonstrated that males considered the dissertation itself to be less challenging than did
female students; however, the male students considered the dissertation review process to
be significantly more threatening than did the female students. The researchers concluded
that male students sought to reduce their situational stress by positively evaluating
personal goal attainment, defined as the completion of the dissertation document. Male
students engaged in further emotional stress-protection by depersonalizing the source of
the stress and shifting the blame for a potentially negative outcome to the vagaries of the
review process. This strategy resulted in lower scores on the self-blame measure, and
37
higher scores on the personal disengagement variable, than those exhibited by the female
students (Devonport & Lane, 2006). Thus, the appraisal that resulted in the belief that the
threat was not under the students’ control blunted the emotional impact that might have
otherwise been felt as they experienced a threat to their goal attainment.
Primary appraisals have been associated with coping strategies and how threats
are framed can influence an individual’s coping strategy (Folkman et al., 1986). Franks
and Roesch (2006) examined the association between primary appraisal and coping
strategies among cancer patients. The study results showed that individuals who
appraised cancer as a threat used problem-focused coping strategies, and those who
appraised cancer as an impairment or deficiency used emotion-based avoidance coping
strategies (Franks & Roesch, 2006). The differences in primary appraisal in this study
highlighted the subjectivity associated with the appraisal, and how the appraisal itself
may then have implications for coping.
Dewe, O’Driscoll, and Cooper (2012) highlighted the role of primary appraisal in
the workplace. The researchers demonstrated that employees engage in primary threat
appraisal after most management-directed meetings. Another key trigger is performance
evaluation. Employees engage in a primary threat assessment both prior to, and as a
consequence of, performance review. These researchers highlighted the extent to which
individuals are primed to scan for personal threats, even within the context of routine
communication and evaluation processes (Dewe et al., 2012). Primary appraisals, then,
appear to be ongoing internal process, and people are primed to continually scan the
environment for threats and evaluate them.
38
Mohammad et al. (2013) posited that the primary appraisal process triggers the
selection of coping mechanism and the coping behaviors that an individual will exhibit.
Mohammad et al. evaluated the elements of the transactional model in a school setting by
observing stress and coping strategies with regard to teacher and student learning. The
researchers demonstrated that stress and tiredness can directly affect the efficiency of
teachers, which in turn affects student learning. The study results showed an inverse
relationship between model constructs (secondary appraisal, problem management,
emotional regulation, meaning-based coping, adaptations, and moderators) and the level
of perceived stress, except for the construct of primary appraisal. The authors concluded
that the primary appraisal serves as the catalyst for the coping behaviors that follow, and
the intensity of the coping response is a reflection of the perceived threat level established
through the primary appraisal process (Mohammad et al., 2013).
Secondary appraisal. The secondary appraisal includes both the assessment of
the coping resources perceived as available to an individual to help deflect the threat
identified through the primary appraisal process, and the options the individual considers
to actually address the resulting stress (Cohen & Wills, 1985; Glanz et al., 2008). The
secondary appraisal is often operationalized as an attempt to control stress, as in Marks,
Richardson, Graham, and Levine’s (1986) investigation of the relationship between
perceived control over the risk of cancer and the adoption of healthy behaviors. This
investigation demonstrated that individuals adopt health behaviors as both a risk- and
stress-controlling behavior in the wake of the perceived threat of illness (Marks et al.,
1986); having multiple resources available to help address the threat was found to
39
dampen both the intensity of the perceived threat and the associated stress. This
association has also been demonstrated relative to heart disease (Taylor, Helgeson, Reed,
& Skokan, 1991) and HIV/AIDS (Taylor et al., 1992). In each of these investigations,
perceived control over disease through the adoption of healthy behaviors improved the
overall wellbeing of the study subjects (Thompson & Spacapan, 1991).
Walinga (2008) examined the relationship between the types of resources
identified as available through the secondary appraisal and the actual ability of the
individual to affect change and deal successfully with stressful changes to a high-
performing soccer team. Walinga found that individuals who only identified resources
capable of reducing anxiety remained focused on emotional coping strategies and were
unable to effectively transform their circumstances to actually reduce the threat itself.
Individuals who identified cognitive resources during the secondary appraisal phase used
these resources to problem-solve and ultimately eliminate the source of the stress. This
study highlighted the importance of identifying the resources best suited to dealing with
the identified threat (Walinga, 2008).
Perceived stress. Perceived stress is the level of stress that is felt by an
individual. It is a function of not only objective stressors, but the extent to which the
threat contained in those stressors is of personal significance, and the extent to which the
individual can identify resources to help offset or eliminate the threat (Stawski, Sliwinski,
Almeida, & Smyth, 2008). Consequently, perceived stress encompasses Lazarus’
constructs of primary and secondary appraisal. Much research has been conducted using
perceived stress as a measure of the psychic and physical discomfort that remains after a
40
stressor has been adequately appraised (Stawski et al., 2008). Perceived stress, as such, is
measured as an indicator of the total anxiety that drives stress management and coping
behaviors.
Recent studies examining the validity of using perceived stress include Feizi,
Aliyari, and Roohafza’s (2012) examination of the of extent to which family conflicts and
social problems were correlated with measures of perceived stress. This study determined
a high correlation between the variables, and further found that adding financial, social,
and physical resources significantly reduced perceived stress levels. The researchers
concluded that perceived stress functioned in a manner consistent with predictions using
both the primary and secondary appraisal variables from the stress and coping model
(Feizi et al., 2012). Matheny et al. (2002) evaluated the relationship between perceived
stress, coping resources, and life satisfaction for young adults from America and Turkey.
Matheny et al. determined that, as in the investigation of Feizi et al. (2012), stress
perception differed based on the assessment of available coping resources.
Bovier et al. (2004) conducted a study of perceived stress and its relationship to
health outcomes in university students. The researchers found that higher levels of
perceived stress were associated with lower mental health, and perceived stress mediated
the positive impact of social support on mental health (Bovier et al., 2004). Kaplan,
Madden, Mijanovich, and Purcaro (2013) conducted a study to evaluate the relationship
between perceived stress and health and health behaviors. Kaplan et al. concluded that
higher levels of perceived stress were related to poorer health levels and unhealthy
behaviors in people of lower socioeconomic standing.
41
Stress management. The stress management component of the transactional
model of stress is comprised of two major elements: the coping strategies selected to
obviate the threat and any ensuing physical or emotional discomfort, and the moderating
factors that influence both the perceived threat level inherent in the stress appraisal
process and the preferred choice of coping strategy (Glanz et al., 2008). Understanding
the common coping strategies that are used, as well as the moderating factors that
influence perceptions of stress, can lend important insights into how stress can be
effectively managed.
Coping strategies. In the transactional model, Lazarus (1978) designated coping
strategies as those activities an individual engages in to manage the emotional or
functional consequences stemming from the threat appraisal (Lazarus, 1991; Lazarus &
Folkman, 1984). Lazarus divided coping strategies into three primary response
categories: problem management, emotional regulation, and meaning-based coping.
Problem management and emotional regulation are deemed coping efforts, and are
umbrella terms for a wide range of behavioral responses or coping strategies. Problem
management, or problem-focused coping, is designed to either alter the stressful
circumstances, or to modify the anticipated outcomes. Emotional regulation, or emotion-
focused coping, is directed toward reducing the anxiety level or emotional distress
generated by the threat appraisal process (Glanz et al., 2008; Lazarus & Folkman, 1984).
Meaning-based coping encompasses a set of coping behaviors designed to
reinterpret the threat as spiritually significant, personally significant, or otherwise
beneficial (Glanz et al., 2008). Lazarus (1984) originally conceived of meaning-based
42
coping as impacting the two primary coping efforts and fueling the will to sustain coping
activity; however, more recent investigations have also cast meaning-based coping as a
primary coping effort on par with problem-focused and emotion-focused efforts
(Folkman & Moskowitz, 2004; Lazarus, 1991; Lazarus & Folkman, 1984). Each of these
three coping efforts overarches specific coping strategies, which are the actual behaviors
an individual utilizes to deal with the threat (Glanz et al., 2002).
Problem management and emotional regulation. The literature on problem
management is dominated by examinations into the influence of cognitive problem-
focused coping strategies on stress level and problem resolution (Glanz et al., 2002).
Coping strategies associated with problem management efforts include information-
seeking and problem-solving approaches. A recurring finding from the problem-focused
coping literature is that cognitive problem-solving is an effective coping strategy when
the stressful circumstances are amenable to change (Glanz et al., 2002).
Emotional regulation is the ability to attenuate negative emotions, enrich positive
emotions, or otherwise maintain emotional balance (Neshat-Doost, Dalgleish, & Golden,
2008). The cognitive and behavioral processes that influence the occurrence, intensity,
duration, and the expression of emotions under stressful circumstances can be considered
emotion-focused coping activities. The ability to adopt effective strategies to control
emotion is considered a fundamental aspect of social and subjective well-being, because
it dampens the psychic pain associated with stress and restores a feeling of calm (Neshat-
Doost et al., 2008).
43
Recent studies have examined the complex interrelationships among problem-
solving, emotional regulation, and a sense of control over the stressful situations. This is
highlighted in the investigation that Mohammad et al. (2013) performed into the effect of
stress on teachers and teaching outcomes; the investigators found a significant and
opposite relationship between problem management, emotional regulation, and perceived
stress level. The researchers found that emotional coping strategies were used to lower
the level of stress felt by the teachers, and problem management strategies were
employed to effectively eliminate the source of stress. Mohammad et al. suggested that
emotion-focused and problem-focused coping work together to enhance stress
management.
The authors interpreted these findings as evidence that different coping strategies
serve different purposes in successful stress management. Emotion-focused strategies
were viewed as essential antecedents to problem-focused strategies, as intense emotional
and mental distress interferes with effective problem-solving. The investigators
concluded that multifaceted and well-honed evaluative capabilities are advantageous in
managing stress. Establishing a strong capacity to evaluate a range of coping options is
therefore linked to more effective stress management.
Grebner, Semmer, and Elfering (2005) examined the relationship between chronic
job stress, job control, and coping success. The researchers found that high job control
supported the use of problem-solving management strategies, which were associated with
increased levels of well-being. The researchers also found that emotional coping was not
related to job control, nor was it related to an increased sense of wellbeing. The authors
44
interpreted these findings to suggest that when stress levels are low, as in chronic job
stressors, emotional coping is not a necessary antecedent to effective problem-solving
coping activities.
Bell and D’Zurilla (2009) examined the capacity of high-quality problem-solving
abilities to influence the relationship between routine daily stress and anxiety levels and
cognitive impairments. The researchers found that participants with a positive problem-
solving orientation were less likely to exhibit either negative emotional or cognitive
reactions to the stress. The authors interpreted these findings to suggest that problem-
solving resources have a calming effect in low-stress situations, even without emotional
regulation activities.
Grover et al. (2009) determined that high-quality problem-solving strategies
significantly predicted suicidal ideation, but not suicidal attempts, in adolescents
suffering from high levels of stress from either an acute life event or from chronic life
stressors. Further, highly stressed adolescents with poor problem-solving capacity were
more likely to both consider and attempt suicide. The authors determined that good
problem-solving skills were able to buffer either episodic or chronic stress in the study
participants.
Creswell, Dutcher, Klein, Harris, and Levine (2013) found that among students in
chronic stress situations, high chronic stress levels were associated with impaired
problem-solving and creativity. When self-affirmation was introduced as an emotional
regulation strategy, the effects of the stress were buffered and problem-solving and
45
creativity improved. As in the study by Mohammad et al. (2013), emotional regulation
was interpreted as an antecedent to effective problem-solving in high-stress conditions.
While active problem-solving behaviors have been found effective in supporting
stress management without emotional regulation in conditions of low stress and in
conjunction with positive emotional regulation strategies in conditions of high stress,
other researchers have determined that the effectiveness of problem-centered strategies is
reduced when negative emotions predominate or negative emotional regulation strategies
are used. Anger has been linked with both avoidance behaviors and with a lack of
positive influence on stress management (Arslan, 2010).
Arslan (2010) examined the relationship between anger, anger expression, stress,
and interpersonal problem-solving among young adults. The results showed a negative
correlation between problem-focused coping and anger, and a positive correlation
between avoidance behavior and anger. Arslan concluded that anger is a particularly
disadvantageous reaction to stress. Anger was viewed as directing coping away from
potentially productive problem-solving techniques and anchoring it in a stagnant cycle of
emotional escape that allowed the stressful situation to either persist unabated or intensify
(Arslan, 2010).
Appelhans and Schmeck (2002) conducted a study of the motivational predictors
of coping strategy choices. This study evaluated the relationships between students’ self-
reported learning styles and self-reported coping style. The researchers indicated that the
level of motivation to perform well in a course was associated with the choice of coping
strategy. High levels of motivation were correlated with the selection of problem-focused
46
coping strategies. The authors interpreted these findings to mean that students who coped
with stress using problem-focused strategies had more confidence in their ability to think
critically and were positively motivated to persist in their studies, even when the work
was challenging.
Hesselink et al. (2004) examined the relationship between psychosocial coping
resources and coping style with Health Related Quality of Life (HRQoL) among patients
with asthma and chronic obstructive pulmonary disease (COPD). The researchers found
that an emotional coping was associated with poor HRQoL ratings. In addition, asthma
patients with lower self-efficacy, lower mastery feelings, and an avoidant coping style
were found to have the lowest HRQoL. In COPD patients, a rational coping style was
associated with lower HRQoL. Consistent with other interpretations form the literature
Hesselink concluded that the less-severe pulmonary disease, asthma, lent itself better to
strategic control, and was therefore not well served by emotional coping techniques.
COPD, however, is severe, progressive, and irreversible, leaving little room for effective
control using problem-solving techniques. Study results suggested a significant
association between coping resources and coping style and HRQoL, indicating that
psychosocial coping resources and coping style are independently associated with health
related quality of life in asthma patients (Hesselink et al., 2004).
Nordin, Andersson, and Nordin (2010) evaluated coping strategies, social
support, and responsibility for improvement in individuals who experienced chemical
intolerance (CI). Chemical intolerance was measured by either self-report or a clinical
diagnosis of hypersensitivity to odorous or pungent substances. Individuals suffering
47
from CI often experience significant quality of life impairments due to limitations placed
on working, living, and social environments. Nordin et al. found that the most effective
coping strategies were avoiding irritants, which often involved confronting others and
asking them reduce or eliminate perfume or other offending substances, as well as
advanced problem-solving strategies among those with high levels of CI. Emotion-
focused strategies were most effective for those with lower CI.
These results uphold ongoing findings that effective coping is control and
situation specific. In this situation, all levels of CI can be controlled through effective
problem-solving and action-based techniques. Study findings supported the interpretation
that only severe CI is limiting enough to motivate more effortful and confrontational
problem-management coping, while less-severe CI reactivity was less stressful than
imposing on others. Less-severe CI suffers turned to positive emotional strategies,
including family support, to cope with frustrating symptoms (Nordin et al., 2010).
Yamasaki and Uchida (2006) conducted a study of undergraduates to evaluate the
correlations between adverse effects, positive affect, and negative affect, and reported use
of emotion-focused coping or problem-focused strategies. Yamasaki and Uchida revealed
a positive relationship between positive affect and both cognitive reinterpretation and
problem-solving skills among male students, while a positive relationship between
positive affect and emotional expression was revealed for female students. Women
favored more expressive coping strategies, while men focused on problem-solving
strategies.
48
Meaning-based coping. Frankl (1986) observed that ascribing meaning to
misfortune is a universal human need. Placing misery in a significant context promotes
strength, dignity, and hope in the face of tragedy, and often serves as a motivating
perspective to support the ongoing struggle to survive (Frankl, 1986). Antonovsky (1990)
posited that a sense of coherence, whereby individuals experience the world as
comprehensible, manageable, and meaningful, is a core variable in shaping coping
responses and is positively related to health status. Meaning-based coping strategies
include reframing or reinterpreting the problem, accepting the inevitable, or employing
spiritual guidance or philosophy (Carver et al., 1993).
Folkman (1997) suggested that reexamining a stressful problem though the lens of
a positive attitude increases the capacity to perceive positive outcomes for others who
have experienced a similar situation. This phenomenon has recently been used to
examine meaning-based coping strategies in chronic and life-threatening circumstances
(Glanz et al., 2008). Bulman and Wortman’s (1977) evaluation of individuals suffering
from spinal cord injuries revealed a common need to attach meaning to the situation.
(Bulman & Wortman, 1977). Dunbar, Mueller, Medina, and Wolf’s (1998) qualitative
study of women suffering from HIV similarly uncovered meaning-based coping themes
relative to personal relationships, self-affirmation, life-affirmation, and death. Study
participants cited these interpretive frames as important to their psychological and
spiritual well-being, suggesting the importance of reframing in meaning-based strategies.
Rinaldis, Pakenham, and Lynch (2012) used the transactional model of stress and
coping to examine the influence of meaning-based coping within a larger context of
49
coping with a life threatening illness. The investigators sought to explore the effect of
benefit finding (BF) among colorectal cancer patients on measures of wellbeing. Benefit
finding is the process by which individuals who have experienced a significant health
event find value in the illness to provide comfort and opportunities to improve the quality
of their lives. Rinaldis et al. classified and measured the influence of the meaning-based
BF coping strategies as personal growth and interpersonal growth and acceptance. The
authors denoted cognitive and problem-solving coping strategies as perceptual change or
reframing, acceptance-related cognitive change, palliative activities, and life
reorganization. The researchers also measured emotion-focused coping strategies as the
practice of religion, humor, rumination, and seeking out social support. The wellbeing
outcome variables were positive affect, psychological distress, cancer-related quality of
life, and general satisfaction with life.
Rinaldis et al. (2012) measured the variables at two points in time, immediately
after the initial diagnosis, and 12 months after the initial diagnosis. The researchers found
that all three coping strategies were most effective immediately after diagnosis with BF
strategies, cognitive problem-solving strategies, and social support seeking most strongly
positively associated with positive affect. The cognitive strategy of perceptual change
also reduced psychological distress and positively influenced cancer-related quality of
life, while BF strategies were strongly positively related to general life satisfaction. The
protective influence of all coping strategy variables faded over all outcome variables 12
months after diagnosis.
50
The researchers concluded that the effective coping response to a life-threatening
stressor changes over time, and that both meaning-based coping in the form of BF and the
cognitive strategy of reframing the problem are the strongest initial effective coping
responses. Over time, the effectiveness of all coping strategies faded, but positive
outcomes across all outcome variables at both time periods were associated with the
presence of the stress and coping model moderator variable of optimistic dispositional
coping and the resource variable of ongoing social support for the illness. The researchers
interpreted this finding to mean that successful long-term coping with a life threatening
disease is a function of personality and the resources available to address the lack of
personal control over outcomes.
Interestingly, Rinaldis et al. (2012) failed to note the compelling role that BF
played in the early stages of the coping process. In addition, the researchers defined
meaning-based coping more narrowly than other recent investigations into illness coping,
with some of the larger connotations of meaning-based coping being represented by the
cognitive reframing strategies that also proved useful in the early stages of the illness
(Rinaldis et al., 2012). A study by Guo, Gan, and Tong (2013) provided one potential
explanation of these findings.
Guo et al. (2013) examined the effectiveness of problem-focused coping,
meaning-based coping, and emotion-focused coping on the mental health of earthquake
victims following the 2008 Sichuan Earthquake. As in the Rinaldis et al. (2012) study,
the investigators found that meaning-based coping was a significantly better predictor of
positive affect and well-being than either problem-focused or emotion-focused coping
51
behaviors. The investigators interpreted these findings as consistent with Lazarus’ (1984)
initial view of meaning-based coping as a source of acceptance and strength to fuel either
problem-focused or emotion-focused stress management strategies. These results raised
the possibility that meaning-based coping precedes other coping measures in the wake of
tragedy. The researchers viewed meaning-based coping as a calming influence that paved
the way for more considered actions, including the assessment of the resources available
to exert control or otherwise successfully manage the situation. This interpretation is also
consistent with the findings in Rinaldis et al. (2012).
Hashim, Soliman, and Mansour (2012) examining coping in couples who
experienced a failure to conceive using reproduction-enhancing technologies, and
provided evidence that not all meaning-based coping is positive. Participants employed
both meaning-based and emotion-focused coping to deal with the stress of failure to
conceive, but meaning-based coping was not found to be an effective strategy. Heavy
dependence on meaning-based coping was strongly positively related to high fertility-
related stress in the female partner, and this stress negatively impacted the women’s
personal, marital, and social life (Hashim et al., 2012). The authors concluded that the
utility of meaning-based coping may be limited at times when a potentially effective
problem-focused solution to a stressful situation fails to produce the desired results. It is
possible that failure of the problem-focused strategy is interpreted to mean personal
failure where others have succeeded, thereby enhancing rather than reducing stress.
Moderators. The final two components of the transactional model of stress and
coping are viewed as moderating the assessment of coping resources available, the
52
selection of specific strategies within all three coping components, and ultimately
impacting the adaptive outcomes to stress. The two moderator variables are social
support and dispositional coping style. Each is examined below.
Social support. Social support is included in the transactional model as a multi-
faceted external resource with the potential to vary the options available for either
altering or controlling the threat (Lazarus & Folkman, 1984). Social support entails
assistance from outsiders that facilitates any of the three major coping efforts and is,
consequently, a coping mechanism moderator in the larger scheme of stress management
(Folkman & Moskowitz, 2004). Individuals include social support in stress management
activities in a variety of ways. A person’s social network may be useful in providing
factual knowledge, experiential knowledge, material resources, empathy, and
camaraderie, as well as in serving as a sounding board for the individual’s perceived
plight and offering outside perspectives on the usefulness of potential strategies to deal
with that plight (Heaney & Israel, 2002).
Consequently, social support may be used to bolster cognitive, emotional, and
meaning-based strategies directed toward the threat or the psychological repercussions of
that threat (DeLongis & Holtzman, 2005). Studies examining the impact of social support
and have demonstrated a significant positive association with personal wellbeing across
diverse populations (Coyne & DeLongis, 1986; Masten, Tusak, Zalar, & Ziherl, 2009;
Russell & Cutrona, 1991; Uchino, Uno, & Holt-Lunstad, 1999).
Chao (2011) highlighted the value of social support in enhancing stress
management. Chao’s study of 459 college students evaluated whether social support
53
moderated the relationship between perceived stress and well-being. Results from the
study showed that students with higher social support had higher levels of self-reported
well-being. When the students were under stress, using problem-focused management
reduced the stress level, and having family and friends’ support on solving the problems
further improved overall well-being. The researcher interpreted these findings as
consistent with the transactional model (Chao, 2011).
Classen et al. (2011) evaluated social support among women diagnosed with
metastatic breast cancer. Study participants were offered 1 year of weekly supportive-
expressive group therapy and educational materials. The researchers found that social
support reduced distress and eased the feeling of social isolation. Classen et al. concluded
that social support reduced traumatic stress symptoms (Classen et al., 2001).
Emmelkamp, Komproe, Van Ommeren, and Schagen (2002) examined the
influence of social support on anxiety, depression, and somatic symptoms for 315 torture
victims. Researchers found a direct positive relationship between social support and
effective coping, also noting that the use of multiple coping strategies was associated
with lower levels of anxiety and depression. The authors also noted that actual social
support had a greater impact on the abatement of symptoms than did perceived social
support that was not mobilized. These findings confirmed the importance of using
multiple coping strategies and importance social support to and support services for
individuals who have experienced trauma (Emmelkamp et al., 2002).
DeLongis and Holtzman (2005) examined the relationship between social support
and personality traits on stressful life events. Study results demonstrated that although the
54
stress level associated with stressful life events was related to personality type, adequate
social support reduced the severity of negative stress-related health outcomes, regardless
of personality. The researchers concluded that social support is effective across
individuals in reducing the impact of stressful life events on physical wellbeing
(DeLongis & Holtzman, 2005).
Chao (2011) conducted a study to evaluate the relationship between social
support, problem-focused coping, and well-being under stress among 459 graduate
students in counseling psychology. Chao found that social support buffered the
relationship between perceived stress and psychological well-being, and this effect was
mediated by problem-focused coping. The results also showed that students who used
high avoidant coping strategies in a low social support environment had the lowest levels
of well-being under stress. Chao interpreted these findings to mean that social support
offers greater stress relief when accompanied by effective strategies to confront and deal
with the stress, and that a lack of social support contributes to the deleterious effects of
ineffective coping strategies (Chao, 2011).
Dispositional coping style. Coping styles have been regarded as stable
characteristics inherent in individuals (Gillespie & Gates, 2013). Lazarus (1993) provided
a clear distinction between coping effort and coping style, noting that coping efforts are
situation-specific behaviors, while a coping style is a general attribute that an individual
employs across situations. Coping style is a lens through which an individual generally
perceives and responds to situations and circumstances (Lowe, Norman, & Bennett,
2000). Lazarus indicated that coping style inclined the individual to rely on dispositional
55
compatible coping behaviors by biasing selection among competing behavioral options
within coping effort categories. Researchers have also determined that coping style
modifies the effectiveness of a given coping strategy among individuals (Lazarus, 1993).
Coping style has been operationalized in a variety of ways across the literature.
Early conceptualizations and research focused on determining why a certain segment of
the population remained physically and psychologically healthy, even in the face of
stressful life events (Guo et al., 2013). Researchers determined that these individuals
share a common attitude toward life in which they view situations as a controllable
challenge they are committed to overcoming (Punamaki et al., 2008). This coping style
has been termed resilience, and is closely related to another often cited the predisposition:
optimism. Optimism has been defined as the tendency to view situations from a positive
perspective, and is frequently examined in relation to the Lazarus transactional model
(Rinaldis et al., 2012; Taylor et al., 1992).
Another commonly-investigated predispositional style is the rational or problem-
focused style, which is characterized by a tendency toward active information-seeking
and cognitive assessment. Individuals with this tendency are inclined to evaluate
situations using logic and cognitive effort to make sense of circumstances and plan a
course of action (Shikai, Uji, Shono, Nagata, & Kitamura, 2008). A third often-
investigated predisposition is emotional style. Antonovsky (1990) posited that the
emotional style is considered a passive reaction to a stressor, and may include using
humor to deflect the pain, seeking comfort in social support and using escapist strategies
56
such as denial, procrastination, avoidance, and substance abuse. Rational coping is less
well used by individuals with this inclination (Antonovsky, 1990).
Recent research into dispositional styles has focused on differentiating situational
coping, which is the application of stress management strategies to a specific stressor or
set of stressors, and dispositional coping as a trait the drives situational coping choices in
times of stress. Shikai et al. (2008) examined the relationship between dispositional
coping style in adulthood and childhood experiences in Japanese undergraduates. Shikai
et al. found that an emotion-oriented coping style was found more frequently among
adults who were neglected or emotionally abused during childhood. The researchers
suggested that this finding indicates that childhood experiences shape adult coping and
that the dispositional coping style can be learned in addition to being inborn (Shikai et al.,
2008).
Punamaki et al. (2008) examined the difference between dispositional and
situational coping and psychological distress between former political prisoners in
Palestine and a matched control group. Dispositional coping was evaluated as a generic
response style to hypothetical stressors, and situational coping was assessed through the
responses of participants to their personal traumatic experiences. Ex-political prisoners
used fewer avoidant, emotion-focused, and denying strategies to both the personal and
the hypothetical scenarios. Main effects showed that low dependence on emotion-focused
strategies coping and high levels of active and constructive coping were linked with low
levels of psychiatric symptoms and psychological distress, but neither the overarching
categories of dispositional style nor situational coping buffered distress. The researchers
57
suggest that the overall approach is less predictive of stress reduction than the specific
strategies employed in each instance of stress, and that both dispositional and situational
approaches can be shaped by experience (Punamaki et al., 2008).
Steinhardt and Dolbier (2008) examined the origin of dispositional resilience in
stress management by providing resilience training to university students to reduce
symptomatology during periods of increased academic stress. The intervention group
demonstrated higher post-intervention resilience scores, greater situational adoption of
effective higher problem-solving strategies, and lower use of ineffective avoidance
strategies than the control group. In addition, the intervention group was more likely to
demonstrate higher levels of the protective personal traits of self-leadership, positive
affect, and self-esteem. In addition, the intervention group experienced lower levels of
perceived stress and fewer symptoms of depression than the control group. The
researchers suggested that these findings are consistent with the interpretation that a
resilient predisposition can be learned, and that improved situational stress-related
strategies are more likely to be adopted by those who have mastered this coping style
(Steinhardt & Dolbier, 2008).
Sasaki and Yamasaki (2007) conducted a study among 229 university freshman to
identify causal relationships between dispositional and situational coping and health
status. The results of this study showed that dispositional coping style could predict
situational coping practices, and that increases in predispositional emotional focused
coping are negatively linked to health status. The predispositional coping strategies of
cognitive reinterpretation and problem-solving are better predictors of health status. The
58
researchers noted that these results contrasted with their earlier findings (Sasaki &
Yamasaki, 2005) that a predisposition to use cognitive reinterpretation and problem-
solving leads to greater distress. The researchers also found in this more current study
that when investigating specific stressful events, the effect of predispositional style was
mediated by the specific strategies chosen within the specific context (Sasaki &
Yamasaki, 2007).
Sasaki and Yamasaki (2007) interpreted the totality of their 2005 and 2007
findings to suggest that predisposition does, indeed, bias the choice of specific coping
strategies for specific stressful events among the study population. However, the
effectiveness of the specific strategies selected is dependent on the specific stressor to
which they are applied. These findings are consistent with findings from the coping
literature that have suggested that problem-solving strategies are most useful when
circumstances are controllable (Mohammad et al., 2013), emotional coping strategies are
more effective in protecting wellbeing in situations that cannot be controlled (Grebner et
al., 2005), and meaning-based coping such as reframing is a useful antecedent to
purposeful problem-solving (Rinaldis et al., 2012). Table 2 presents the key findings
from this theoretical literature review.
In the current investigation, I will assess the extent to which young adults adopt
applicable CAM therapies to manage stress within the context of daily stressors. I will
further determine if CAM use is related to perceived stress levels, levels of exposure to
CAM philosophies and therapies, and to individual coping styles. The literature review
has demonstrated that the transactional model of stress and coping has been specifically
59
conceived to address the context of stress management. It provides additional evidence
that the model is a robust framework for evaluating the effectiveness of coping strategies
in reducing perceived stress and its physical ramifications under diverse circumstances
for diverse populations. Finally, the literature has established that the model has been
successfully applied in research targeting young adults. For these reasons, I will employ
the transactional model of stress and coping as an appropriate theoretical framework for
the study.
Table 2
Key Findings of the Theoretical Literature Review
Key component of
the transactional
model of stress
and coping
Major findings from the recent literature
Researchers
Stress appraisal:
Primary appraisal
The level of stress experienced: 1)Depends
on the perceived level of control over the
stressor and 2) drives the intensity of the
corresponding coping response
The perception of a given threat as being
either under an individual’s control or not
under an individual’s control: 1) may differ
by individual and 2) drives the choice of
coping strategy
Individuals are primed to search for threats
to personal utility and goal achievement
Dewe et al.
(2012)
Folkman et al.
(1986)
Mohammad et
al. (2013)
Smith et
al.(1993)
Stress appraisal:
Secondary
appraisal
The resources identified in the appraisal
process are the resources used to cope with
the stress
Increases in available resources reduces
stress while a lack of available resources is
associated with negative health outcomes
and high stress
Feizi et al.
(2012)
Taylor et
al.(1991)
(table continues)
60
Key component of
the transactional
model of stress
and coping
Major findings from the recent literature
Researchers
Stress appraisal:
Perceived stress
A valid indicator of anxiety that remains
after the threat and the available resources
have been appraised
Stawaski et al.
2008
Stress
management:
Problem
management
Cognitive problem-solving is an effective
coping strategy when stressful situations are
amenable to change
Good problem-solving skills buffer both
episodic or chronic stress
Using problem-solving coping in situations
not under the individual’s control leads to
poorer quality of life outcomes
Problem-focused strategies were associated
with positive critical thinking and the
motivation to overcome challenges to goal
attainment
Mohammad et
al. (2013)
Hesselink et al.
(2004)
Stress
management:
Emotional
regulation
Emotional coping strategies were used to
lower the level of stress, to facilitate the use
of problem management strategies
especially in high stress situations to
eliminate the source of stress.
When stress levels are low, emotional
coping is not a necessary antecedent to
effective problem-solving coping activities.
Anger, avoidance and other negative
emotional strategies do not lower stress and
are associated with lower levels of well
being
Cresswell et al.
(2013)
Elfering et al.
(2005)
Grover et al.
(2009)
Mohmmad et al.
(2013)
Appelhans &
Schmeck (2002)
Hesselink et al.
(2004)
(table continues)
61
Key component of
the transactional
model of stress
and coping
Major findings from the recent literature
Researchers
Stress
management:
Meaning-based
coping
Meaning-based coping strategies produce a
sense of calm in the early stages of a
catastrophic or life threatening situation that
may be antecedent to problem-focused or
emotion-focused responses. This benefit
fades overtime
Meaning-based coping strategies are
effective in situations that cannot be altered
by problem management, however, their
effectiveness may be limited when a
problem-focused solution fails to produce
the desired results
Glanz et al.,
(2008)
Guo et al.
(2013)
Hashim et al.
(2012)
Rinaldis et al.
(2012)
Outcomes of
coping:
Moderators –
Social support
Social support bolsters cognitive, emotional,
and meaning-based strategies
Social support moderates the relationship
between perceived stress and well-being
Social support offers greater stress relief
when accompanied by effective strategies to
confront and deal with the stress, and a lack
of social support contributes to the delirious
effects of ineffective coping strategies
Chao et al.
(2011)
Classen et al.
(2001)
Delongis et al.
(2005)
Outcomes of
coping:
Moderators -
Dispositional
coping
Coping style inclines the individual to rely
on dispositional compatible coping
behaviors by biasing selection among
competing behavioral options within coping
effort categories
Emotion oriented coping style was found
more frequently among adults who
experienced severe physical or emotional
stress during childhood
Dispositional coping was evaluated as a
generic response style to hypothetical
stressors
Punamaki et al.
(2008)
Sasakai and
Yamasakai
(2007)
Shikai et al.
(2008)
Steinhardt &
Dolbier (2008)
62
Both dispositional and situational
approaches can be shaped by experience
and a resilient predisposition can be learned
Specific coping skills are more appropriate
to supporting higher levels of general health
than pre-dispositional style
Steinhardt &
Dolbier (2008)
Stress and Young Adults
Young adult college students are among the most consistently-stressed segment
of the young adult population (Dusselier, Dunn, Wang, Shelley, & Whalen, 2005).
Traditional young adult college students experience stress based on separation from their
parental family, changed living conditions, academic workload, romantic entanglements,
and concerns about future employment opportunities (Dusselier et al., 2005).
Nontraditional young adult students potentially have additional stressors including
balancing employment with college classes, raising a family, and bearing the financial
responsibilities associated with these additional demands. Young adult college students,
like all young adults, must face these stresses while their brain is still maturing (Rebbeck,
Weber, Spangler, & Zeigler-Johnson, 2013). The lack of a well-developed cognitive
executive function leaves young adults vulnerable to impulsivity and maladaptive coping
choices, including anger, avoidance, blame-shifting, smoking, drinking, and time
management issues that lead to skipped meals, sleep deprivation, and lack of exercise
(Nelson, 2008; Ohayon, 2007).
Younger adults are considered emerging adults, a transitional stage between late
adolescence and adulthood (Arnett, 2004). Evidence suggests that this transition stage is
stress-provoking, because failure to accomplish developmental tasks may impact the
63
transition to a fully-adult lifestyle, and thereby thwart personal goals (Newman &
Newman, 2008). Epidemiologists have reported high rates of major depressive disorders
in younger adults than in the general population or among older students (Blanco et al.,
2008; Kessler et al., 2003). Living arrangements, occupational activities, and the social
environment may further influence depressive disorders in younger adults. (Kessler et al.,
2003; Ohayon, 2007).
Perceall and Keim (2007) conducted a study to understand how college students
cope with stress. They gathered data from 212 students enrolled in southern Illinois
community colleges. Of the students surveyed, 75% perceived their stress level as high,
and female students reported higher stress levels than males. The researchers found that
the most-common activities used to cope with stress were talking to family and friends,
engaging in leisure activities, and exercise. The maladaptive practices reported were
alcohol consumption, smoking, and drug use. The students who reported less social
support from family and friends also reported higher amounts of alcohol abuse (Pierceall
& Keim, 2007).
Welle and Graf (2011) identified effective lifestyle habits and coping strategies
for stress tolerance among college students. The researchers collected data via a survey of
459 students. The survey included an inventory of stressors, stress related symptoms, and
coping strategies. The researchers found that having a sense of control over life, feeling
supported, being satisfied with the environment, having adequate social interaction, and
effectively handling academic demands were associated with high stress tolerance (Welle
& Graf, 2011). The researchers also found that stress tolerance varied along racial lines,
64
with White students demonstrating a higher correlation between lifestyle-related factors
and high stress tolerance than did Black students. The results also varied by gender, with
males reporting more coping behaviors than females (Welle & Graf, 2011). The
researchers concluded that students of different racial and gender groups cope differently,
and that stress management among college students must account for different sub-
populations.
Mahmoud, Staten, Hall and Lennie (2012) surveyed 508 fulltime undergraduate
students to understand the relationships among students’ depression, anxiety, stress,
demographics, life satisfaction, and coping styles. The researchers used the Brief COPE
Inventory and an adapted version of the Brief Students Multidimensional Life
Satisfaction Scale to measure life satisfaction. They also used the Depression, Anxiety,
and Stress Scale-21 (DASS-21). The authors found that maladaptive coping was the main
predictor of depression anxiety and stress (Mahmoud, Staten, Hall, & Lennie, 2012). The
researchers concluded that reducing maladaptive coping behaviors may have the greatest
positive impact on reducing depression anxiety and stress in the young adult population.
LaBrie, Ehret, Hummer, & Prenovost (2012) conducted a study to evaluate the
relationship between the motives behind drinking behavior and alcohol-related outcomes
among college students. An online survey of 253 college students assessed student
alcohol consumption, alcohol-related consequences, positive and negative college
adjustments, and drinking motivation. Findings demonstrated that the relationship
between the motive of drinking to cope and alcohol consequence (negative alcohol-
related problem) is mediated by negative college adjustment. Positive college adjustment
65
is not directly related to alcohol related outcomes. A gender difference was also
observed, as coping motives were directly predictive of negative alcohol related
consequences among females but not males. The researchers concluded that reducing
negative college adjustment-related stress is a potentially important strategy to decrease
alcohol-related risk among college students (LaBrie et al., 2012).
Mahmoud et al. (2012) studied the relationship of mental health factors to life
satisfaction and coping strategies among young adult college students. The researchers
surveyed a total of 1.700 fulltime undergraduate students using the Depression Anxiety
Stress scale, the Brief COPE inventory, and the Brief Students Multidimensional Life
Satisfaction scale. Researchers found that students who used maladaptive coping
strategies reported higher levels of depression and anxiety. Students with greater life
dissatisfaction also reported higher levels of depression. Students who used maladaptive
coping reported higher levels of depression and anxiety. Students with greater
dissatisfaction with life indicated higher levels of depression, anxiety, and stress.
Students with lower GPA were more depressed and female students were more anxious
and stressed than male students. These study results demonstrated that maladaptive
coping, life satisfaction, gender, and GPA are significant predictors of stress (Mahmoud
et al., 2012).
Younger adults perceive time constraints on healthy dietary behaviors, which may
contribute to stress. Pelletier and Laska (2012) conducted a study to identify the
association between perceived time constraints for healthy eating and responsibility for
work, school, and family among young adults. This cross-sectional survey evaluated 598
66
students enrolled in community college and 603 students from a public university. The
researchers used perceived time constraints; work, school, and family responsibilities;
and socioeconomic demographic characteristics as the variables for this study. Women of
lower socioeconomic status perceived more time constraints and were less likely to have
healthy balance than women of higher socioeconomic status. Women in a committed
relationship had higher time constraints in general. Heavy course load and working long
hours were important predictors of time constraints among men while living situation
(living at home) and being in a relationship were more predictive of time constraints for
women (Pelletier & Laska, 2012).
Emotion dysregulation and impulsivity have been independently considered as
risk factors for addictive behavior (Granö, Virtanen, Vahtera, Elovainio, & Kivimäki,
2004). Schreiber, Grant, and Odlaug (2012) conducted a study to evaluate the
relationship between emotional dysregulation and impulsivity among younger adults. The
researchers used the emotion dysregulation scale, MINI international neuropsychiatric
interview, self-reported assessments (Eysenck Impulsivity Questionnaire, Barrat
Impulsivity Scale, Tridimensional Personality Inventory and Pauda Inventory) and
cognitive assessments as measures in this study of 194 participants. High emotional
dysregulation was associated with higher measures of impulsivity and increased risk of
engaging in harmful behaviors, and a reduced ability to reason clearly relative to
behavioral risk and potential negative outcomes. The researchers concluded that
emotional regulation is an important factor to consider in addiction risk (Schreiber et al.,
2012).
67
Daily stress and fatigue affect learning and cognitive function in younger adults
(Beckner, Tucker, Delville, & Mohr, 2006). Palmer (2013) evaluated the association
between fatigue and stress on learning and cognitive functions among 60 college
students. Fatigue was measured using saliva samples and the Iowa Fatigue scale. Stress
was measured using the Perceived Stress Scale. Cognitive functioning was measured
using neurocognitive executive functioning tests. Working memory was also tested using
a standardized scale. The study results showed that physiological fatigue and stress were
both predictive of learning challenges and poor cognitive performance among college
students (Palmer, 2013).
Ohayon and Roberts (2014) conducted a two-sample investigation of 19,136
subjects from the general population and 2,196 students living on a university campus to
compare major depressive disorder in young adults living in a community versus those
living on a university campus. The researchers conducted telephone interviews using a
standardized questionnaire. Analysis showed that stress and social isolation were
predictive of depression among younger adults. The prevalence of depressed mood and
depressive disorders were similar between community and campus students group. This
study also noted the importance of prevention, early identification, and mental healthcare
access for young people (Ohayon & Roberts, 2014).
Complementary and Alternative Medicine
According to the National Center for Complementary and Alternative Medicine
(NCCAM), nearly 40% of Americans use healthcare approaches which deviate from
conventional medicine (NCCAM, 2013). These types of treatments and practices have
68
been labeled complementary when used in combination with conventional medicine, and
alternative when used in place of conventional medicine. Together, these practices are
referred to as CAM. Most of the people practicing CAM use it in conjunction with
traditional treatments. When woven into the fabric of Western medicine, CAM is called
integrative medicine (NCCAM, 2013).
Table 3
Key Findings from This Theoretical Literature Review
Key component of
the stress and
younger adults
Major findings from the recent literature
Researchers
Coping used for
stress management
among younger
adults
Most common coping practices
among the younger adults are
talking to family and friends,
engaging leisure activities and
participating in exercise.
Maladaptive practices are
alcohol consumption, smoking,
and drug use
Perceall & Keim,
2007
Stress tolerance
Having sense of control over
one’s life, feeling well
supported, satisfaction with
one’s environment, having
adequate social interactions,
effective handling of academic
demands associated with high
stress tolerance
Stress tolerance varies with race
and gender
Well & Graf, 2011
(table continues)
69
Key components of
the stress and
younger adults
Major findings from the recent literature
Researchers
Predictor for the
stress
Maladaptive coping was the
main predictor of depression
anxiety and stress
Students used maladaptive
coping reported higher levels of
depression and anxiety
Mahmoud, Staten,
Hall & Lennie, 2012
Alcohol
consumption
Negative college adjustments
associated with alcohol
consumptions and alcohol-
related consequence
LaBrie, Ehret,
Hummer, &
Prenovost, 2012
Time constraints
Women with lower
Socioeconomic status perceived
more time constraints and less
likely to have healthy balance in
life
Women with relationship had
higher time constraints
Heavy course load and working
long hrs. are predictors of time
constraints among men
Living at home and being in
relationship were more
predictors of time constraints for
women
Pelletier & Laska,
2012
Emotional regulation
High emotional dysregulation
was associated with higher
measures of impulsivity and
increased risk of engaging in
harmful behaviors
Emotional regulation is
associated with addiction risk
Schreiber et al.,
2012
Learning challenges
and cognitive
performance
Physiological fatigue and stress
were predictive of learning
challenges and poor cognitive
performance among college
students
Palmer, 2013
Predictor for
depression
Stress and social isolation were
predictive of depression among
younger adults.
Ohayon & Roberts,
2014
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Integrative medicine is a growing health trend, and research into the efficacy of
CAM practices is a promising emerging field (White House Commission on
Complementary and Alternative Medicine Policy, 2002). Lifestyle-related illnesses are
the leading cause of death in the United States, and holistic approaches to health are
rapidly gaining popularity. The boundaries between CAM and mainstream medicine are
often blurred, with mainstream doctors often recommending non-traditional practices in a
clinical setting (WHC, 2002). CAM is defined as a group of diverse medical and
healthcare systems, practices, and products not present in the conventional dominant
healthcare system of a particular society or culture. (Giordano, Boatwright, Stapleton, &
Huff, 2002; NCCAM, 2008b). According to NCCAM, CAM treatment approaches are
classified in to five main groups or domains (NCCAM, 2013).
The first category is that of alternative therapeutic systems informed by practice
and theory. This category includes naturopathic, homeopathic, Ayurvedic, and Chinese
medicine. Naturopathic medicine is a Western medical system based on diet and lifestyle
change combined with other CAM modalities such as massage, herbs, and joint
manipulation to support the individual's ability to heal without the application of
conventional medicine (NCCAM, 2013). Homeopathic medicine is a holistic system
originating in Europe that seeks to stimulate the body’s innate healing capacity by giving
small doses of highly-diluted substances that, in large quantities, would aggravate the
symptoms (an approach based on “like cures like”).
Ayurveda is a holistic medical system that originated in India which integrates
mind, body, and spirit to prevent and treat disease. Ayurvedic therapies employ the use of
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herbs, massage, and yoga (NCCAM, 2013). Chinese medicine is also a mind-body-spirit
medicine similar to Ayurveda. Chinese medicine (as well as other Eastern medicine
systems) seeks to determine the underlying or root cause of the issue and act on the
energy that creates disease. In this sense, a root problem on the spiritual plane may cause
a physical manifestation or suffering. By treating the spirit, oftentimes the physical
complaint disappears (Cushman & Hoffman, 2004).
The second domain encompasses the mind-body systems of interventions that
have the capacity to affect body function. Such practices include: hypnosis, guided
imagery, mental healing, yoga, and meditation. Meditation includes many different
practices and disciplines, including mindfulness meditation and transcendental
meditation. Meditation is a mind practice in which individuals focus their attention and
become more in touch with their body and mind interconnectivity (NCCAM, 2013).
Yoga can be practiced in many different styles and is used to promote health. Most
practices combine movement, breathing techniques, and meditation (NCCAM, 2013).
Prayer medicine varies greatly among religions and individuals, but may include an
individual prayer for the self, or asking another to pray on their behalf (Ayers &
Kronenfeld, 2010).
The third domain encompasses biological systems, such as herbs and dietary
supplements. Manipulative body-based interventions such as osteopathic, chiropractic,
and massage also fall under this category. The chiropractic professions focus on the
relationship between the spine and body structure functioning. This practice is based on
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the theory that manipulation of the spine and other parts of the body will help to improve
and support the body’s natural ability to heal (NCCAM, 2013)
Herbal medicine is considered one of the oldest healing practices; it can be found
in almost every tribe and culture. Materia medica and documentation of the healing
properties of plant substances have been recorded in ancient China, Babylon, Egypt,
India, and later Greece, Rome, and the Arabian Empire (Griggs & Van der Zee, 1997).
Known as botanical healing or herbalism in America, this method is the practice of
collecting, preparing, and using herbs. Western herbalists also incorporate the use of
pulse diagnosis, as well as examining and skin, tongue, facial markings, voice, speech,
and body movements (Cushman & Hoffman, 2004).
The last of the domains includes the energy therapies and bio-electromagnetic and
bio-field therapies such as pulse fields and therapeutic touch. Reiki is an ancient form of
therapy in which touch from the hands is believed to transmit healing energy (Cushman
& Hoffman, 2004). The Reiki practitioner acts as a conduit for life force energy to
remove energy blockages or transmit new energy to the receiver or patient. This practice
is popular as a complementary modality, as it can be used for any condition (Cushman &
Hoffman, 2004).
Although researchers have shown specific modalities to be effective in certain
conditions, most of the domains are used widely for a variety of health concerns and to
promote general wellbeing, including stress reduction. More research is needed to
specifically understand the benefits of each practice and its best applications in the
73
medical field (NCCAM, 2013). Table 4 summarizes the CAM domains and the therapies
associated with those domains.
Table 4
Major CAM Domains with Examples
Major Domain of
CAM
Examples
Alternative healthcare
systems
Ayurvedic medicine
Chiropractic
Homeopathic medicine
Native American medicine (e.g., sweat lodge, medicine
wheel)
Naturopathic medicine
Traditional Chinese medicine (e.g., acupuncture, Chinese
herbal medicine)
Mind-body
interventions
Meditation
Hypnosis
Guided imagery
Music therapy
Prayer and mental healing
Biological-based
therapies
Herbal therapies
Special diets (e.g. macrobiotics, extremely low-fat or high-
carbohydrate diets)
Orthomolecular medicine (e.g., megavitamin therapy)
Individual biological therapies (e.g., shark cartilage, bee
pollen)
Therapeutic massage
and somatic
movement therapies
Massage
Body work therapies
Energy therapies
Qigong
Reiki
Therapeutic touch
Bioelectromagnetics
Magnet therapy
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CAM Use
Kessler et al. (2001) conducted a survey of 2,055 participants to identify the
current use, lifetime use, and age at first use of 20 CAM therapies in the United States.
The researchers also examined the use of CAM therapies to treat anxiety and depression.
The researchers reported that a total of 9.4% of the respondents had suffered from anxiety
attacks in the past 12 months, and 7.2% reported severe depression. A total of 56.7% of
those with anxiety, and 53.6% of those with depression, reported using some form of
CAM to treat these conditions. The NCCAM and National Center for Health Statistics
conducted a survey to identify Americans’ use of CAM (NCCAM, 2008a). Results of
data from 23,393 adults aged 18 year or older and 9,417 children in the United States
showed that approximately 38% adults and 12% of children had used some form of CAM
in the last 30 days.
CAM as a stress management technique. The effectiveness of CAM techniques
in reducing stress has been an important area of research (Collinge, Wentworth, & Sabo,
2005). CAM holds significant potential for enhancing the management of stress, mental
disorders, and other traumatic diseases (Pemberton & Turpin, 2008). CAM methods such
as yoga, meditation, exercise, energy-based therapies, and body-centered psychotherapies
are used to treat symptoms of anxiety, stress, and stress-related disorders (Lehrer,
Woolfolk, & Sime, 2007). Some examples of CAM used to enhance coping include
prayer, mental healing, meditation, and psychotherapy, as well as inventive outlets like
dance, art, or music (Cummings, 1998). According to Collinge et al. (2005), CAM has
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been shown to be safe and effective for the management for depression, anxiety, and
stress (Collinge et al., 2005).
CAM is used for stress management by 40% of the women in United States (Su &
Li, 2011). When vitamins and praying for health are included, the proportion of the
female population that uses CAM treatments increases to 69% (Barnes, Bloom, & Nahin,
2008). People who frequently use CAM treatments and therapies are of three types: (a)
educated people (mostly younger adults), (b) women, and (c) people who live in or near
urban areas (Barnes et al., 2008).
The use of relaxation techniques for health is widely practiced. Researchers have
supported the use of relaxation techniques for a variety of conditions including anxiety,
asthma, depression, fibromyalgia, headache, heart disease, high blood pressure, hot
flashes, insomnia, irritable bowel syndrome, nausea, nightmares, overactive bladder, and
pain (NCCAM, 2013).
Strauss and Lang (2012) conducted a review to explore the use of CAM in
addressing stress levels for patients with post-traumatic stress disorder (PTSD). The
authors found that CAM interventions such as relaxation, exercise, and meditation often
addressed mental and emotional problems that exacerbate stress. The findings suggested
that meditation techniques are associated with moderate improvements in PTSD severity
and health-related quality of life compared to individual psychotherapy.
Jacobs (2001) evaluated the clinical application of relaxation response and mind
body intervention. According to this review, mind-body intervention helps to restore
homeostasis by balancing the sympathetic and parasympathetic nervous system; this is
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likely to be the reason why CAM is effective in easing the symptoms of PTSD. Jacobs
also concluded that mind-body interventions are cost effective and should be used in
conjunction with standard medical care.
A global survey of CAM use indicated that military personnel reported using
prayers, massage therapy, and relaxation techniques for stress reductions at 2.5-7 times
the rate of civilians (Goertz et al., 2013). A total of 16,146 active-duty military personnel
participated in this study. Another survey conducted among 342 North American nurses
showed that 99% of participants reported using one or more mind-body practice to reduce
stress. Prayers, breath-focused meditation, healing or therapeutic touch, yoga, and
mindfulness-based meditations are commonly-practiced CAM modalities. The reported
benefits of these modalities were spiritual well-being, serenity, calm, better mood,
compassion, and better sleep.
Yadav, Magan, Mehta, Sharma, and Mahapatra (2012) conducted a study at an
integrated health clinic to evaluate the efficacy of a yoga-based lifestyle intervention
program for the prevention and management of chronic diseases. The program used yoga
postures, breathing exercise, stress management, and group discussion as interventions
for participants who were overweight or had chronic inflammatory disease. The
researchers performed laboratory assessments of biochemical markers of stress and
inflammation at baseline and at the end of the intervention (10 days). Results from this
study showed that yoga-based lifestyle practices reduced stress markers and
inflammatory changes (Yadav et al., 2012).
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Recent studies have showed that CAM use has been increasing among cancer
patients (Ernst, 2003). Several studies of cancer patients have showed the effect of
meditation and yoga on quality of life, fatigue, and sleep (Banasik, Williams, Haberman,
Blank, & Bendel, 2011; Carlson, Speca, Faris, & Patel, 2007; Carson, Carson, Porter,
Keefe, & Seewaldt, 2009). Mind-body techniques of meditation, yoga, Tai Chi,
acupuncture, manipulative technique massage, energy-based polarity therapy, and Reiki
are some of the CAM interventions commonly used by cancer patients (Chandwani et al.,
2012). Results from the review study of Chandwani et al. showed that mindfulness-based
stress reduction programs with components similar to yoga and acupuncture showed
reduction of stress levels, anxiety, fatigue, and distress associated with advanced cancer.
Li and Goldsmith (2012) conducted a review to evaluate the effectiveness of yoga
on anxiety and stress. The researchers identified a total of 35 studies assessing effects of
yoga on anxiety and stress for this review, 25 of which showed a significant decrease in
stress/anxiety symptoms among participants after starting yoga practices. The researchers
suggested that yoga as supplement to pharmacologic therapy may improve stress and
anxiety levels (Li & Goldsmith, 2012).
Penman, Cohen, Stevens and Jackson (2012) conducted a national survey of yoga
practitioners in Australia to evaluate practice of yoga. Survey respondents indicated that
they commonly practiced yoga for health and fitness as well as stress management.
Regular practice of yoga was associated with a direct healthy lifestyle effect including
vegetarianism, non-smoking, reduced alcohol consumption, increased exercise, and
reduced stress (Penman et al., 2012).
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Hollifield, Sinclair-Lian, Warner, and Hammerschlag (2007) conducted a study to
evaluate the potential efficacy and acceptability of acupuncture for PTSD. The
researchers used self-reported PTSD symptoms as the outcome measure for this study.
The researchers compared acupuncture therapy to cognitive behavioral therapy. The
results showed reduction in the symptoms of PTSD at the end of the treatment, as well as
after 3-month follow up for the group that received acupuncture treatment (Hollifield et
al., 2007). This finding suggested that acupuncture may be an efficacious and acceptable
treatment option for PTSD. Hollifield (2011) also conducted a review study to evaluate
the role of acupuncture for PTSD. Hollifield explained that acupuncture has biological
effects that are relevant to PTSD pathology.
CAM as stress management intervention in young adults. Among the most
recent literature on the use of CAM as a stress management approach for young adults is
a randomized controlled study of 288 medical students conducted by de Vibe et al.
(2013) to examine the effectiveness of mindfulness-based stress reduction (MBSR) in
reducing stress and improving subjective well-being. The intervention group received a
7-week MBSR program in addition to their regular coursework, while the control group
continued with their standard classes. The MBSR program included physical and mental
exercises to increase the mindfulness experience; mindfulness communication and
reflection; and didactic teaching on mindfulness, stress, and stress management. Study
results showed that students experienced significant improvements in mental distress,
study stress, subjective well-being, and mindfulness after participating in this program
(de Vibe et al., 2013). Similarly, Simard and Henry (2009) conducted a study of first-year
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medical students to evaluate the effect of a 16-week yoga intervention. Yoga practices
consisted of asana, pranayama, and meditations. Study results demonstrated
improvements in overall health, a reduction in perceived stress, and reduced levels of
depression (Simard & Henry, 2009).
A study conducted by Rantanasiripong, Sverduk, Prince, and Hayashino (2012)
analyzed the effectiveness of biofeedback and counseling for stress and anxiety among
college students. The results indicated that participants who received biofeedback
training and counseling had a greater reduction in anxiety symptoms than did the
participants who received counseling alone. The program used a portable, user-friendly
biofeedback program to help students learn to take control of their stress and anxiety, by
generating automated feedback about the stress levels in exhibited by their bodies
(Ratanasiripong et al., 2012). The results from this study suggested that combining
modalities may be beneficial in addressing the broad range of challenges students face.
Exercise has been shown to help alleviate stress in college students (Baghurst,
2011). In a study to determine whether different stress reduction interventions could alter
the perceived stress levels of college students, 531 students participated in a 16-week
program that focused on cognitive-behavior stress management and cardiovascular
fitness. A control group received no intervention (Baghurst, 2011). Measurements were
taken at the beginning and end of the semester. Perceived stress was measured by the
Perceived Stress Scale. Both the stress management and physical activity groups had
significantly lower levels of perceived stress at the end of the semester than the control
group (Baghurst, 2011). These findings indicated that it is helpful for students to have
80
some type of outlet or structure to manage stress. Although physical activity and
cognitive-behavior stress management are very different, both were effective in reducing
the students’ perceived stress versus no program or activity at all.
A study by Gard et al. (2012) examined the effects of a yoga-based intervention
on young adults’ on quality of life, perceived stress level, mindfulness, and self-
comparison. The variables were measured in 33 self-selected participants in a 4-month
residential yoga intervention. Assessment was conducted before and after the program via
questionnaire. A demographically-matched control group also completed the same
questionnaires. Program participants exhibited increased quality of life scores and
decreased levels of perceived stress both from baseline and relative to study controls. The
researchers concluded that yoga-based interventions may be of value in reducing stress
and improving quality of life in young adults. The practices may also improve coping
mechanisms in young adults (Gard et al., 2012).
A study conducted by Zhang, Ren, and Zhang (2010) observed the clinical
therapeutic effects of acupuncture plus cupping for treating insomnia in college students.
The researchers randomly divided 92 college students suffering from insomnia into a
treatment group (52 cases) and a control group (40 cases). Acupuncture plus cupping was
used to enhance brain function and reduce stress in the treatment group. Therapeutic
effects were measured by a self-rating sleeping scaling (SRSS), and evaluated after 1
month of treatment. Results showed a significant difference between the two groups. The
therapeutic effects shown in the treatment group was significantly better than that in the
control group (Zhang et al., 2010). These results suggested that acupuncture and cupping
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treatments may be effective in helping college students manage stress and improve
quality of sleep.
Psychological distress such as anxiety and depression have been linked to the
development of hypertension (Rozanski, Blumenthal, Davidson, Saab, & Kubzansky,
2005). College students are more prone to psychological distress (D’Zurilla & Sheedy,
1991). A study by Nidich et al. (2009) evaluated the effectiveness of a Transcendental
Meditation (TM) program on blood pressure and psychological factors in young adults.
In this randomized controlled trial, the researchers allocated 298 university students into
the TM program or to the control group. At baseline and after 3 months, blood pressure,
psychological distress, and coping ability were assessed. The study results showed that
this mind-body intervention program decreased BP, decreased psychological distress, and
increased coping capacity (Nidich et al., 2009).
Researchers in this review of the most recent literature have provided evidence
that a range of complementary and alternative treatment options have proven beneficial
among young adults. Further to this, CAM techniques have been seen to improve both
young adults’ general well-being and specific stress-related symptomology. Although
many of these practices come from ancient traditions, they can be easily adapted and
implemented into college settings, providing students with more skill and knowledge to
better manage their stress levels.
Conceptual Model
Although researchers have examined the effectiveness of CAM as a specific stress
reduction intervention among this study’s target population, no studies currently exist that
82
assessed the extent to which young adults choose to use CAM interventions as
supplements to other adaptive coping mechanisms, or as substitutes for maladaptive
coping efforts. In addition, no literature has examined the extent to which young adults
adopt CAM practices under stressful circumstance when they are not specifically enrolled
in an intervention trial. Two recent studies have evaluated the adoption of stress reduction
interventions in a more natural student context.
Conley, Travers, and Bryant (2013) investigated the outcomes of promoting
psychosocial adjustment and stress management in first-year college students engaged in
a psychosocial wellness seminar. The researchers collected data from 2009 to 2011 using
an 8-month prospective quasi-experimental design. Intervention and control participants
showed no differences at baseline, but the intervention group reported significantly
greater perceived improvements in stress management and psychosocial adjustment over
the course of the seminar. (Conley et al., 2013). The researchers interpreted the results as
supporting the use of educational programmatic approaches embedded in the academic
curriculum, in order to promote psychosocial adjustment and stress management in
college students and to counter the potential development of maladaptive coping
strategies.
MyStudentBody-Stress is an online stress management program intended to
enhance stress management and promote healthy behaviors. Chiauzzi et al. (2008)
implemented and evaluated this program at six U.S. colleges. Groups were randomized to
one of three conditions: the MyStudentBody-Stress program, a control health information
website, or no intervention. The researchers compared group data at baseline and again at
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1, 3 and 6 months. The primary outcome measure was perceived stress within the past
month. Secondary outcome measures were the Health Promoting Lifestyle Profile II, a
52-item frequency scale measuring self-reported health-promoting behaviors such as
physical activity, nutrition, spiritual growth, interpersonal relations, and stress
management, and the College Adjustment Scales that screen for developmental and
psychological problems. Although there were no between =0group differences on the
primary outcome variables, analysis between secondary outcome variables indicated that
the MyStudentBody-Stress participants were more likely to increase weekly physical
activity, use specific stress management methods, and exhibit decreased anxiety and
family problems (Chiauzzi et al., 2008). The researchers not only found support for the
potential benefit of the MyStudentBody-Stress program, but their findings may also be
interpreted as evidence that stressed young adults are capable of adopting and practicing
stress management techniques presented through an objective and impersonal medium.
These studies provided preliminary evidence that stressed students can and will
choose effective stress management techniques that are presented within the context of
daily educational requirements, or are presented as available noncompulsory stress
reduction resources. This educational and noncompulsory context corresponds to the
circumstances under which young adults seek and obtain stress management assistance
from their healthcare providers. Healthcare providers refer clients to CAM for education,
skill building, and therapy sessions that compete for priority among the other stressors
and demands clients face and attend to in their daily lives.
84
I designed the current study to determine if young adults will indeed adopt CAM
techniques in a non-compulsory setting, by framing the question in terms of the
transactional model of stress and coping, accounting for factors that are known to
influence stress and coping in young adults. Based on these possible influences, the
conceptual model guiding this investigation is presented in Figure 2.
Exposure to CAM-------------------------- and Coping Behaviors--------Perceived
Stress
Figure 2. The relationship between stress and young adults’ complementary and
alternative medicine use.
Researchers have demonstrated the effectiveness of CAM techniques as stress
management tools for young adults (Baghurst, 2011; de Vibe et al., 2013; Gard et al.,
2012; Nidich et al., 2009; Ratanasiripong et al., 2012; Simard & Henry, 2009; Zhang et
al., 2010), but researchers have also demonstrated that overwhelming stress can interfere
with cognition, making it difficult to comprehend or execute novel or complex functions
(LaBrie et al., 2012; Palmer, 2013; Pelletier & Laska, 2012; Pierceall & Keim, 2007;
Schreiber et al., 2012; Welle & Graf, 2011). Individuals laboring under a heavy stress
Life Stressors
Moderator
Dispositional
Coping Style
Mediator
Social Support
Mediator
Gender
Race
SES
85
load may, consequently, find it difficult to learn or practice CAM modalities when they
are not participating in a structured intervention. In addition, even those CAM modalities
that are guided or delivered by CAM practitioners require a time commitment, and the
literature has demonstrated that time management is a major concern among stressed
young adults (Nelson, 2008; Ohayon, 2007).
Both of these considerations raise a concern as to whether heavily-stressed
individuals would embrace or pursue recommended CAM modalities, even if those
modalities were known to them and readily available. This concern is buttressed by a
study that found that fewer than 25% of psychology students were willing to seek
professional help, or use readily-available campus resources to treat mental distress
(Thomas, Caputi, & Wilson, 2014). Brimstone, Thistlethwaite, and Quirk (2007)
comparing the willingness of medical students to seek conventional care for physical
illness or mental distress, to the willingness of psychology students to seek such care,
found that neither group was willing to avail themselves of the resources they knew to be
beneficial from their own disciplines. Both groups preferred to self-treat by engaging
their social support system for advice and solace (Brimstone et al., 2007). These findings
are consistent with the understanding that the executive decision-making component of
the young adult is still developing (Caspi et al., 1996; Huffman, 2012; Steinberg et al.,
2010), and underscore the potential for stressed young adults to choose a coping
mechanism with which they have had long-term familiarity.
The conceptual model, then, derives from this understanding, framed within the
transactional model of stress and coping. To determine whether exposure to CAM is
86
salient and appealing enough to be incorporated into stressed young adults’ coping
behaviors requires a measure of the magnitude life stressors, an accounting of the
resources available to cope with those stressors, and a measure of the coping strategies
actually implemented by the target population. According to this conceptualization, life
stressors are operative throughout exposure to, and training in, CAM stress management
techniques, and have the potential to moderate the extent to which CAM techniques are
internalized (Zimmerman & Kandiah, 2012).
The extent to which life stressors do, in fact, moderate CAM internalization is
also influenced by the presence or absence of other coping resources that can blunt the
impact of existing stressors. The stress literature has provided evidence that objective
stressors are less likely to cause an individual physical and emotional distress when there
are social and monetary supports available to the counter external demands (Chao, 2011;
Classen et al., 2001; DeLongis & Holtzman, 2005). Socioeconomic status is a reasonable
measure of monetary support, and social support is both self-explanatory and an
acknowledged mediator variable in the transactional model of stress and coping (Lazarus
& Folkman, 1984).
The findings in the literature reviewed for this study also demonstrated gender
and racial differences in both the manner in which stressors are experienced, and the
coping mechanisms chosen to address stress (Welle & Graf, 2011). Gender or race could,
consequently, play a role in the internalization and use of CAM stress management
techniques and have been factored into the conceptual model. Dispositional coping style
is an acknowledged mediator in the transactional model of stress and coping, as it biases
87
the individual to favor one type of coping behavior over other available options (Lazarus,
1993). Nothing in the literature reviewed to date has suggested that any given
dispositional coping style would influence an individual to be more or less inclined to
internalize or utilize CAM; however, this lack of information poses the question as to
whether or not dispositional coping style does have an impact remains open. This
variable has, consequently, also been included in the model.
The outcome of the interaction among stressful demands, coping resources,
coping predisposition, and exposure to CAM stress management techniques is the actual
coping behavior used to address the existing stressors. The final coping behaviors may or
may not include CAM techniques, and determining this is the main goal of this
investigation. The final outcome of the conceptual model is the level of stress felt by the
individual once coping is operationalized. The literature has offered evidence that
avoidance-oriented coping behaviors such as procrastination or substance abuse are
associated with in higher levels of perceived stress than are positive coping behaviors
such as seeking social support (Chao, 2011; Rinaldis et al., 2012). As the literature has
supported CAM as a positive stress management technique, it is reasonable to
hypothesize individuals who do operationalize their CAM training will have lower
perceived stress than individuals who engage in negative coping behaviors. No evidence
was found in the literature, however, that would allow speculation as how CAM might
contribute to perceived stress in conjunction with, or compared to, other patterns of
positive or negative coping behaviors. Examining this contribution is a second goal of
this investigation and is, therefore, represented in the model.
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Summary
In this chapter, I reviewed the literature in four areas relevant to the current
investigation. The first literature set developed the research problem pertaining to young
adults’ elevated risk for incurring high levels of stress as they pursue an education and
compete to enter the workforce and establish a family. Specifically, the literature
supported the proposition that young adults in the United States could benefit from stress-
management techniques that are compatible with their still-maturing cognitive
sensibilities, but researchers have questioned the capability of young adults to actively
internalize and use novel techniques under conditions of elevated stress.
The second set of literature established the form, function, and applicability of
the transactional model of stress and coping to investigating the relevant dimensions of
the research problem. The third literature set presented information on complementary
and alternative medicine modalities as documented stress-reduction techniques with the
potential to appeal to young adults. The final literature set examined the outcomes of
stress management interventions among young adults and documented the current
knowledge gap regarding how, or if, young adults’ demanding lives interfere with their
ability to embed CAM stress management techniques into their routine coping behaviors.
I concluded the chapter with a conceptual model drawn from the literature reviewed to
guide the proposed research.
In Chapter 3, I will develop and justify the study methodology including the study
design, the study sample, the data collection instruments, the study hypotheses, and the
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data analyses. Each of these elements will be presented as aligned with the conceptual
model developed in Chapter 2.
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Chapter 3: Methodology
Introduction
The purpose of this quantitative study was to examine whether exposure to CAM,
stress level, dispositional working style, sociodemographic variables, and social support
impact the use of CAM modalities for stress management among young adults. This
study also looked at the difference in the levels of perceived stress among the younger
adults who do and do not use the CAM modalities for stress s management. I performed a
quantitative cross-sectional correlational study to identify whether the factors identified
in the study influence the dependent variable of the use of CAM modalities for stress
management. I used a survey methodology to gather primary data for the analysis of
potential relationships. In this chapter, I will provide a discussion and the justification of
the research design chosen for this study. I will also discuss the research methodology,
including the target population, sampling design, sample size, and recruitment
procedures. I will then provide explanations of the appropriateness, validity, and
reliability of the study measurement instruments, followed by an explanation of the study
variables and how those variables are operationalized. In the subsequent sections, I will
present the data collection procedures and data analysis plan, as well as the
appropriateness of each analysis to testing the null hypotheses in this study. Finally, I will
discuss of the potential threats to the study’s validity and how the threats were addressed
in this study, as well as ethical considerations. I will then provide a summary to
emphasize the main points of this chapter.
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Research Design and Rationale
I employed a quantitative cross-sectional correlational research design using
primary data collected via validated survey instruments to identify potential relationships
between variables such as exposure to CAM, stress level, dispositional working style,
sociodemographic variables, and social support impact the use of CAM modalities for
stress management among young adults. The dependent variable in this study was the use
of CAM modalities for stress management, such as meditation, yoga, talking to friends,
special diets, seeking family support, and similar techniques. The 30 modalities
considered in this study are presented in Appendix A. Independent variables included the
participants’ exposure to CAM, stress level, dispositional working style,
sociodemographic variables, and social support.
Researchers may use quantitative methods when the researcher’s goal is to
determine the relationship between variables or to predict outcomes (Babbie, 2012).
Quantitative research methods focus on providing an objective measure, considering
replicable methodologies and generalizable findings (Bryman, 2012). Quantitative studies
consider the use of survey instruments to provide an objective measure of constructs such
as the variables considered in this study in order to collect data and test the hypotheses
posed in this study. As opposed to a qualitative study, a quantitative study is able to
identify relationships between variables considering statistical tests as evidence (Babbie,
2012). I directed this research toward evaluating the extent to which the variables of
interest are related, using numeric measures and statistical tests of significance.
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A quantitative design is appropriate when the goal of the research is to determine
the extent to which the defined input variables influence the defined outcome variables.
The researcher, therefore, assumes a positivist perspective where empirical investigation
leads to evidence reflective of the truth. In contrast, qualitative research methods focus on
identifying influential factors and understanding relationships and dynamics that have not
yet been fully explored (Cozby, 2009). Qualitative research is appropriate for
constructing conceptual realities and developing theories, as well as identifying factors
that may be numerically measured and tested in future research. Qualitative research
relies on reasoning around observational or perceptual data that is not numerically
measured. It serves as both a precursor to, and a complement of, quantitative research
(Merriam, 2009).
Qualitative studies are inductive by nature and may provide a richer
understanding of the phenomenon under study (Lindlof & Taylor, 2002). A qualitative
design assumes a post-positivism perspective, where truth is found in the experiences of
individuals rather than objectively measuring each component of the construct (Babbie,
2012). A qualitative design is not appropriate for this study, because the variables under
review are well-studied and have been numerically supported by prior research. The
relationships to be tested are deductive in nature and are reasonable extensions of the
current body of knowledge.
This investigation was cross-sectional, as data were gathered from participants at
a particular point in time without manipulation or without being exposed to an
intervention. An experimental design was not appropriate for this research, because the
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intent was not to examine the effects of a given stress management intervention randomly
assigned to intervention and control groups (Bryman, 2012). Because this investigation
was directed toward investigating exposure levels in a natural setting, I considered but
ultimately rejected a quasi-experimental design, because of the inability to isolate a
natural control group or naturally-occurring exposure levels a priori. Instead, the
intention was to correlate all available exposure levels within the study sample, an
approach which is a hallmark of a cross-sectional correlational design (Cozby, 2009).
I also considered and rejected longitudinal designs including retrospective,
prospective, and time series, because nothing in the literature supported the conjecture
that the dynamic of interest is cumulative. The degree of stress experienced by any given
individual is episodic, and hence the effects of fluctuating levels of stress are best
captured by time spans reflective of the transient nature of variable intensity. This
supported the use of a cross-sectional design, where variable levels are measured at a
given point and variation is examined by analyzing the range of variation across the study
sample (Babbie, 2012).
I employed correlational study, as opposed to other research designs, because the
purpose was to explore potential relationships between variables (Babbie, 2012). A
correlational study seeks to identify whether a positive or a negative association exists
between variables. In this study, the use of CAM modalities for stress management was
considered as the dependent variable. This study sought to identify which of the factors
identified as independent variables are significantly related to the dependent variable.
Other study designs are concerned with comparing groups or predicting the dependent
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variable. However, because the purpose of this study was to identify potential
relationships between identified variables, then a correlational study was the most
appropriate.
Population
The study target population is young adults. According to United States census
data, there were 56,050,605 young adults between the ages of 18 and 30 in 2010. Census
data also indicated that 18% of the U.S. population identified as a younger adult. The
number of young adults living in California, the state where this study was conducted,
was reported as 7,222,769.
Sample and Sampling Methodology
Sample
I targeted young adults aged 18-30 currently enrolled in small university in
southern California that offers degree programs in the biological and health sciences and
in CAM practice. I chose to examine university students for this investigation, because
researchers have demonstrated that young adults pursing university degrees are exposed
to multiple stress factors including academic concerns, financial demands, employment
considerations, romantic encounters, and the increasing burden of adult responsibilities
(Goldin et al, 2007; Barbist et al., 2008). In addition, as with all young adults, younger
university students are cognitively immature and, therefore, at high risk for adopting
unhealthy or ineffective risk management behaviors that may compete with CAM
techniques as the coping behaviors of choice when dealing with a high stress load
(Barbist et al., 2008). Although the traditional age of university students is considered to
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be 18 to 22 years of age (Barbist et al., 2008), the university from which the sample will
be drawn attracts a large number of older young adults to its advanced degree programs,
as well as a reasonable percentage of older young adults who are attending university for
the first time. This ensured that the study sample was culled from potential participants
across the age range of interest; it also allowed comparisons by age group to determine if
study outcomes differed between younger young adults and older young adults who are
more experienced and closer to cognitive maturity.
My focus on examining varying levels of exposure to CAM in a naturally-
occurring setting required that the study sample be recruited from a pool of participants
likely to exhibit the required variation. Because CAM programs and modalities are major
components of this small university’s degree offerings, students, regardless of major,
have some potential for being exposed to CAM tenets and practices. It was reasonable to
assume that students who have chosen to major in the biologic and health sciences were
potentially less-exposed than those students who are actively pursuing a degree in a CAM
related field. Although field of study is not an absolute indicator of CAM exposure, as
students not pursing CAM careers may have had extensive exposure to CAM outside the
university setting, it did limit the sample to a pool of candidates likely to exhibit variation
on this key variable. Given the CAM orientation of a significant portion of the university
curriculum, it was unlikely that a large number of students are completely ignorant of, or
have remained entirely unexposed to CAM in one or more of its myriad forms; however,
that circumstance is favorable for the study sample. The research questions of interest
center on determining how much exposure to CAM is necessary to stimulate using CAM
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techniques to manage daily stress. Young adults who are completely naïve regarding the
nature and function of CAM would not suitable participants for this study, in that they
would lack the key variable of exposure.
Sampling Strategy
I employed a purposive sampling technique to recruit volunteers from a local
health sciences university that offers CAM professional programs in Ayurveda,
Acupuncture, and oriental Medicine and Doctor of Chiropractic programs, as well as non-
CAM-related career tracts such as science programs. The participant pool, consequently,
was non-random and purposive, as the recruitment included participants with no
academic exposure to CAM and participants with varying levels of academic exposure to
CAM. A cohort group was selected from each year of the above-mentioned CAM
programs to give the sample varying levels of academic exposure to CAM. I recruited the
study sample using nonrandom purposive sampling based on age and enrollment status in
the target university, such that the resulting sample was derived from the study target
population.
Inclusion criteria. For purpose of this study, younger adults are defined as
ranging in age from 18-30 years. The upper age limit is based on literature indicating that
brain maturity is completed only after the third decade of life (Gottesman & Hanson,
2005). The lower age limit is based on the traditional age for an individual to transition
from high school to university in the United States. Although individuals under the age of
18 may attend university, those individuals will be excluded from this study to ensure
consistency of cognitive development at the lower boundary of the sample, and to
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eliminate any ethical concerns associated with including minors in the study. Study
participants had to be enrolled in health Science University in certificate programs in
Ayurvedic medicine or Masters in Acupuncture & Oriental Medicine or Doctor of
Chiropractic or Institute of Science programs.
Sample Size
I conducted a priori power analysis to identify the minimum number of samples
necessary to provide statistically-valid and generalizable results. In calculating for the
minimum sample size, a number of factors were considered. These factors included the
effect size, significance level, power of the test, statistical test, and whether the analysis is
two-tailed or one-tailed. For the purpose of this study, I considered a medium effect size
to ensure that the analyses were not too lenient or too strict in examining the strength of
relationships between variables (Cohen, 1988). A power of 80% was also used because
this was deemed as the acceptable standard over the years (Cozby, 2009). A significance
level of .05 was used to have 95% confidence on the results of this study.
Moreover, I considered two-tailed regression analysis considering five
independent factors as well as correlation analysis as the statistical tests used in this
study. The sample size calculation was conducted with the aid of a software called
G*Power v3.1.0. According to the factors considered in this study, it was necessary to
gather at least 84 participants to achieve 80% power of the statistical analyses (Faul,
Erdfelder, Buchner, & Lang, 2009). To ensure that minimum sample size of 84 was
achieved, at least 420 participants were invited to participate in the study, considering a
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20% response rate (Merriam, 2009). Data collection was only closed once at least 84
participants completed the survey questionnaire considered in this study.
Recruitment and Consent
This study was conducted within a university setting in southern California.
Recruitment targeted the students from a small university in southern California. The
recruitment process began by identifying the cohort students from each year of the CAM
(Ayurvedic Medicine or Masters in Acupuncture & Oriental Medicine or Doctor of
Chiropractic) and non CAM programs (Institute of Science programs). This recruited
participants with varying levels of academic exposure to CAM as well as non-CAM. I
sought permission from the dean of each college to distribute survey questionnaires to the
students. I contacted faculty from Ayurvedic Medicine, Acupuncture and Oriental
Medicine, and Doctor of Chiropractic and Science programs to use the end of their
classroom time to administer the questionnaire. I visited the identified classes to
distribute the questionnaire.
Before distributing the questionnaire to the students, I presented a general
statement about the purpose of the study and information about withdrawal from the
study. I operationalized the sampling strategy using initial screening questions. Students
who fell under the inclusion criteria were given an informed consent form. The informed
consent form advised each participant about the purpose of the study and their role as
participants in the study. Additionally, it assured participants that no identifying
information would be used or collected at any point during the process and all that results
would remain anonymous and confidential. If a participant refused to sign the informed
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consent form, they would be automatically removed from the study. Upon signing the
informed consent form, each participant completed the demographic survey and the four
additional surveys at their leisure. I gave my contact information to the participants. After
the completion of the questionnaire, participants were thanked for participating in the
study. The goal was to complete the survey collection within 1 month. At the end of 1
month, the data collection was closed to begin the data preparation for statistical
analyses.
Instruments
I used five instruments in the study to collect data from students who passed the
inclusion criteria. The survey instruments were only given to participants once the
informed consent form was signed. Specifically, the five instruments were: (a)
Demographic survey, (b) Use of Coping Behaviors, (c) Knowledge and Exposure to
CAM, (d) Hassles Scale, and (e) Coping Resources Inventory.
Demographic Survey
I used a demographic survey to gather data that describes the participants in the
study, as well as data that considered as the independent variables. Demographic
information considered in the study included age, race, socioeconomic status as measured
by income levels, employment status, housing status, and marital status. The social
support received by the student participant was also part of the demographic
questionnaire. The items in the demographic survey were multiple choice, wherein the
participant selected the most appropriate response that match their status.
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Use of Coping Behavior Scale
The UCMS was developed from resourced literature defining CAM methods used
by individuals. The Use of CAM Modalities survey uses a frequency scale to measure
propensity of modality use. The survey lists 30 modalities. Response options are coded
numerically but anchored semantically, where 1 = Never, 2 = Rarely, 3 = Sometimes, 4 =
Often, and 5 = Always. The survey takes about 5 minutes to complete and is scaled at the
ratio level, meaning that there is an assumed relationship between response options and
there is a meaningful zero value. Scores are totaled by adding up responses for each
question. Higher responses mean greater use, while lower response means less use
(Appendix A).
Reliability and Validity of the Coping Behavior Scale
The survey collects frequency responses to measure use of various modalities for
the management of stress. The idea of the survey is to observe the frequency of CAM use
by participant. The instrument was monitored for internal consistency. A pre-test was
conducted for this instrument by doing expert review to make sure that the instrument has
face validity. This also ensured that the questions are consistent with expectations and
make sense (Colton & Covert, 2007).
Knowledge and Exposure to CAM Use Survey
The knowledge and exposure to CAM use survey will be used to measure the
participants’ knowledge of and exposure to CAM. In this survey, exposure was defined
as the degree to which an individual has gained knowledge about, or been influenced to
use one or more complementary or alternative medicine modalities. The items in the
survey include the 30 modalities in the use of coping behavior scale. The participants
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were asked to rate each of the modalities using a five-point Likert-type scale to assess
their exposure to CAM. Response options are coded numerically but anchored
semantically, where: 1 = Not at all, 2 = To a slight degree, 3 = To some degree, 4 = To a
moderate degree, and 5 = To a great degree. The survey can be completed at about 5
minutes and is scaled at the ratio level. This means that there is an assumed relationship
between response options and there is a meaningful zero value. Scores are totaled by
adding up responses for each question. Higher responses mean higher knowledge and
exposure, while lower response means lesser knowledge and exposure to the CAM
modalities (Appendix A).
Reliability and Validity of the Coping Behavior Scale
The survey collects knowledge and exposure to various modalities for the
management of the stress. The focus of the survey is to measure knowledge and exposure
to CAM by participant. The instrument was monitored for internal consistency. A pre-test
was conducted for this instrument by doing expert review to make sure that the
instrument has face validity. This will ensure that the questions are consistent with
expectations and make sense (Colton & Covert, 2007).
Hassles Scale
The Hassles Scale (HS) will be used to measure the respondents’ level of stress.
The HS is a 117-item scale that uses a four-point Likert-type scale to obtain level of
stress that an individual is currently experiencing. The 117 items describe situations that a
person encounters in everyday living. Respondents are directed to select a numerical
value that reflects the hassle level of that experience. The four-point Likert-type scale is
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as follows: 0 = none or did not occur, 1 = somewhat severe, 2 = moderately severe, and 3
= extremely severe.
The Hassles Scale was based on a theoretical system most recently described by
Lazarus and Folkman (1987). This system presumes that how persons construe or
appraise the personal significance of their encounters with the environment determine
what is psychologically stressful to them. Such appraisals need not be accurate reflections
of what has actually occurred. A person's appraisals reflect environmental circumstances
as well as personality characteristics, such as goal hierarchies and beliefs about self and
world, and other factors that may result in special sources of vulnerability to stress. The
phenomenological aspect of appraisals helps to explain why a given event may be
stressful for one person and irrelevant for another.
Reliability and Validity of the Hassles Scale
The Hassles Scale was constructed by consulting individuals about positive daily
experiences and subsequently fielding hundreds of questions to assess psychometric
properties. The creator then obtained pilot data from college students, and rated the
frequency of each uplift on a four-point scale.
According to the author, hassles scores reflect states that are changeable
psychological stress responses; the item stability may be more applicable than the more
traditional psychometric term reliability. To determine the stability of the hassles scores,
scores from successive pairs of time periods in the study conducted by Kanner, Feldman,
Weinberger, and Ford (1987) were correlated and then averaged over a 9-month period.
Results indicated that hassles frequency scores were quite stable over this time period (r
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= .79), suggesting that hassles scores have both trait and state characteristics—each
reflecting, empirically and theoretically, a different side of the same coin. The average of
the correlations between monthly frequency scores (r =.79) was significantly higher than
the average between monthly severity scores (r = .48).
Researchers such as DeLongis et al. (1988) assessed the validity of this measure.
DeLongis et al. inferred validity by examining the relationship between self-esteem and
supportive social relationships. Individuals low on these variables are more likely to
experience increases in psychological and somatic difficulties. This finding provides
insight into the mechanisms that lie behind positive and negative relationships between
stress level and illness symptoms or mood. Young (1987) reported dimensional stability
of the HS from a study conducted on 432 college students. Young reported eigenvalues
greater than one on 13 dimensions related to stress. Based on these aforementioned
findings, the survey is assumed to be valid.
The Coping Resources Inventory
I will use the Coping Resource Inventory (CRI) to assess the level of coping in
individuals. The inventory is owned by Mind Garden and created by Marting and
Hammer (2004). Mind Garden granted me permission to use the inventory in this study.
The scale is a 60-item instrument that asks frequency of behavior to different situations.
Coping resources are those resources inherent in individuals that enable them to handle
stressors more effectively, experience fewer or less intense symptoms upon exposure to a
stressor, or recover faster from exposure to a stressor. This definition is consistent with
current conceptions of resources that emphasize the mediating role resources play in the
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coping process. For example, Baum and Singer (1982) defined resources as adaptive
capacities that provide immunity against damage from stress, where resources are viewed
as predispositions derived from genetic factors, environmental influences, and learned
relationships. Baum and Singer (1982) considered a resource to be a “social and
psychological prophylaxis” that can reduce the likelihood of stress-induced disease (p.
344). In a similar vein, individuals with low resources have been described as vulnerable
and constitutionally fragile (Kessler, 1979), while those with high resources have been
characterized as resilient (Kessler & Essex, 1982) and hardy (Kobasa, 1979).
Reliability and Validity of the Coping Resource Inventory
According to Mind Garden, the coping resource inventory is a valid and reliable
instrument. Based on extensive testing using a variety of samples, reliability was found to
be greater than .70. Further, based on construct and criterion validation studies, the
survey was found to support dimensional integrity and relate positively to other known
coping structures. Thus, the survey is assumed to be a valid and reliable measure of
coping.
Operationalized Independent Variables
The independent variables considered in this study include the following:
exposure to CAM, sociodemographic variables, levels of life stress, dispositional coping
style, and social support
Exposure to CAM. Exposure was defined as the degree to which an individual
has gained knowledge about, or has been influenced to use one or more complementary
or alternative medicine modalities. The exposure to CAM was measured based on the
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responses of participants on the knowledge and exposure to CAM survey, wherein
respondents were asked to rate their knowledge and exposure to the 30 modalities
identified.
Socio-demographic variables.
Age. Age was a ratio-scaled variable. Only individuals between the ages of 18-30
were included in the study.
Race. Students from all races were included in the study.
Socio economic status. Socioeconomic status was measured based on income
level. Income levels were ordinal-scaled discrete measurements with the following
categories: Less than $10,000; $10,000-$20,000; $20,001-$30,000; $30,001-$40,000; and
more than $40,000.
Employment. Employment was a nominal-scaled discrete measurement with the
following categories: Full-time, part-time, unemployed, retired, and disabled.
Housing. Housing was a nominal-scaled discrete measurement with the following
categories: own, rent, and staying with family.
Marital status. Marital status was a nominal-scaled discrete measurement with
the following categories: single, never married, committed relationship, not married,
married, separated, divorced, and widowed.
Levels of life stress. The levels of life stress was measured based on the
responses of participants on the Hassles survey. The total scores of participants on the
Hassles survey were used to represent the level of life stress that the participants
experience. This variable was operationalized as a continuous variable.
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Dispositional coping style. The dispositional coping style was measured based
on the responses of participants on the coping resource inventory. The total scores of
participants were used represent the variable for dispositional coping style. This variable
was operationalized as a continuous variable.
Social support. Social support was measured as a continuous variable. This was
included in the demographic survey, wherein participants were asked to determine the
social support level they receive from people and the community around them.
Operationalized Dependent Variables
The dependent variables in this investigation are the use of CAM and other coping
behaviors and perceived stress.
Use of CAM and other coping behaviors. The use of CAM and other coping
behaviors was measured based on the total score of participants to the use of CAM for
stress management survey. The ratings of participants to each of the modalities were
totaled to determine the overall score. A continuous variable was used to measure the
variable.
The research questions and hypotheses are consistent with study conceptual
model presented in Figure 3.
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Exposure to CAM-------------- Coping Behaviors------ Perceived stress
Figure 3. Study conceptual model.
Research Questions and Hypotheses
Research Question 1: To what extent is exposure and knowledge of CAM
associated with the use of CAM modalities for stress management among young adults
participating in the study?
H01: Exposure and knowledge of CAM is not associated with the use of CAM
modalities for stress management among young adults participating in the study.
H11: Exposure and knowledge of CAM is associated with the use of CAM
modalities for stress management among young adults participating in the study.
Research Question 2: To what extent does dispositional coping style influence the
use of CAM modalities for stress management among young adults participating in the
study?
Gender, Race, SES
Dispositional
Coping style
Social Support
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H02: Dispositional coping style does not influence the use of CAM modalities for
stress management among young adults participating in the study.
H12: Dispositional coping style influences the use of CAM modalities for stress
management among young adults participating in the study.
Research Question 3: To what extent do sociodemographic variables influence the
use of CAM modalities for stress management among young adults participating in the
study?
H03: Sociodemographic variables do not influence the use of CAM modalities for
stress management (coping) among young adults participating in the study
H13: Sociodemographic variables influence the use of CAM modalities for stress
management among young adults participating in the study.
Research Question 4: To what extent does a difference exists in level of perceived
stress among study participants who use CAM modalities for stress management and
study participants who do not use CAM modalities for the stress management?
H04: There is no difference in the level of perceived stress among the study
participants who use CAM modalities for stress management and study participants who
do not use CAM for the stress management.
H14: There is a difference the level of perceived stress among the study
participants who use CAM modalities for stress management and study participants who
do not use CAM modalities for the stress management.
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Data Organization Techniques
I entered the collected data into SPSS 22.0. I then coded and analyzed all data
using the Statistical Package for the Social Sciences (SPSS) software program.
Once data is entered, I will apply a security key to applicable folders to prevent
access without permission. Data will be organized by variable and case, meaning that
responses to questions will be structured so that columns run across or horizontally in the
SPSS file and rows run vertically down the SPSS file. This structure allowed for quick
evaluation and analysis of data, given the type of statistical test performed.
Data Analysis Technique
Profile of sample. I used demographic data to profile the participants responding
to the survey. Each variable was discussed using descriptive statistics in text and
displayed using a table. The information reported included frequency count by group
level (if appropriate), mean, standard deviation, skewness, kurtosis, and total number of
respondents (N). I used SPSS/EXPLORE and SPSS/DESCRIPTIVE to derive the
aforementioned information.
Outliers. I conducted a test for univariate outliers to determine if any cases would
not statistically be part of the sample collected. To detect outliers, case scores were
converted into z-scores and compared to the critical value of +/- 3.29, p < .001
(Tabachnick & Fidell, 2007). Cases that exceed this value were removed provided that
they warranted removal.
Missing data. I detected cases with missing data by running frequency counts in
SPSS 17.0. Those cases with missing data on more than 5% of the items were summarily
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removed from further analysis. Those cases with missing data in less than 5% of the
items were kept by imputing field means into empty cell.
Parametric assumptions. I evaluated assumptions of normality, linearity, and
homoscedasticity to detect any violation of parametric assumptions. However, a graphical
device aided me in determining degree of normality. Specifically, a histogram of
residuals was presented to provide visual evidence of degree of normality. I detected non-
normality by creating z-scores for skewness and kurtosis. If the distribution was found to
be non-normal, variable transformation was attempted to improve distribution parameters
if possible.
Order of analyses. Demographic data were presented first to construct a profile
of the sample population tested. Next, missing data and outliers were evaluated and dealt
with according to the prescription presented. Further, normality was evaluated to ensure
parametric assumptions are met. And finally, regression and moderated multiple
regression was used to test the four hypotheses.
Data Analysis
To test each of the hypothesis posed in this study, I conducted a series of
correlation and regression analyses. For the first research question, the independent
variable was exposure to CAM. The score of participants in the exposure to CAM survey
was used to determine whether there is a relationship with the use of CAM modalities for
stress management. Because both the independent and the dependent variables are
continuous in nature, a correlation analysis was conducted. If a significant relationship
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exists, as evidenced by a p-value of less than .05, then there would be sufficient evidence
to reject the first null hypothesis.
The second research question considered the dispositional coping style as the
independent variable. The score of the participants in the Coping Resource Inventory was
used to determine whether there is a relationship with the use of CAM modalities for
stress management. Because both the independent and the dependent variables are
continuous in nature, a correlation analysis was conducted. If a significant relationship
exists, as evidenced by a p-value of less than .05, then there would be sufficient evidence
to reject the third null hypothesis.
The third research question considered the sociodemographic variables as the
independent variables. Because there are several sociodemographic variables, a
regression analysis was conducted considering each of the variables as the predictor
variable. If the sociodemographic variable was determined to be significant, as evidenced
by a p-value of less than .05, then would be sufficient evidence to reject the fourth null
hypothesis.
Finally, in exploring all the impact of the variables on the dependent variable
considered in this study, I conducted a regression analysis to test the fourth null
hypothesis. The independent variables were considered as the predictor variables. If the
predictor variable was determined to be significant, as evidenced by a p-value of less than
.05, then there would be sufficient evidence to reject the sixth null hypothesis.
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Internal Validity
I assumed that the described statistics are the most accurate statistical tests
available given the nature of the data. It may be possible that some other type of statistics
could have yielded more accurate results, but they are unknown at this time. This fact
could have affected the internal validity of the study. Additionally, I assumed that the
quantitative design was the best approach, given the theoretical bases that this study
relied on. However, it may be possible that other approaches may have yielded more
valuable data. This fact could also have affected internal validity.
External Validity
External validity refers to the condition of generalizability. Generalizability can
be affected by many factors including (a) representativeness of the sample, (b) timing,
and (c) researcher bias. For example, the sample may not be a good representation of the
population. For many reasons, the university selected to collect participants’ data may be
slightly different than the student population as a whole.
Depending on the time of administration of survey, perceived stress may vary. For
example, students perceive more stress during preparation for an exam. Therefore,
students were asked to answer the survey questionnaires in their own convenient time and
location. Students were also reminded that their responses would not affect their
academic performance in any way. Moreover, researcher bias was set aside through the
use of quantitative survey questionnaires to provide an objective measure of the
constructs considered in this study. My perceptions were not considered at any point in
time within this research study.
113
Ethical Research
The use of human participants warranted the need to consider ethical assurances
in this study. The participation in this study was completely voluntary. Students could
decide not to participate without any penalty. Completion of the questionnaire would not
result in any emotional harm to participants. Participants’ anonymity was preserved by
not identifying any personal information. All prospective participants were asked to sign
an informed consent form prior to receiving the survey questionnaire. Therefore, only
participants who agreed to participate in the study through the informed consent form
were able to participate in the study. Participants were also informed that they can
withdraw from the study at any point in time. All the collected data will be secured under
password-protected files for 5 years. After the period of 5 years, all data and information
gained from this study will be properly disposed of and deleted.
Summary
This study used a non-experimental, quantitative cross-sectional correlational
research design. The purpose of this study was to examine the relationship of variables
such as exposure to CAM, stress level, dispositional working style, sociodemographic
variables, and social support to the use of CAM modalities for stress management among
young adults. The target population was young adults. A purposive sampling technique
was utilized for the study. All potential participants were invited to participate in the
study.
I was required to obtain at least 84 participants to ensure at least 80% power for
the results of the statistical analyses. In order to analyze the data collected in this study, I
114
considered correlational analysis and linear regression analysis. The results of the
analyses would determine which of the variables relate to the dependent variable of the
use of CAM modalities for stress management. A significance level of .05 was utilized
for all statistical analyses.
In Chapter 4, I will provide a discussion on the description of participants
gathered for the study. I will also provide a presentation of the data collected and the
results of the data analysis. An analysis of the results based on statistical terms will also
be provided in Chapter 4. Chapter 5 will include a discussion of conclusions and
recommendations drawn from the study. Also in Chapter 5, I will expound on the results
and the implications of the results for practice and for future studies.
115
Chapter 4: Results and Analysis
Introduction
The purpose of this quantitative study was to examine whether exposure to CAM,
stress level, dispositional working style, socio-demographic variables, and social support
influence the use of CAM modalities for stress management among younger adults. In
addition, I examined the differences in the levels of perceived stress among younger
adults who use CAM modalities for stress management and those who do not. I used a
quantitative cross-sectional study to address the research questions and their respective
hypotheses, utilizing several survey instruments to collect data. The formulated research
questions and their respective hypotheses are the following:
Research Question 1: To what extent is exposure and knowledge of CAM
associated with the use of CAM modalities for stress management among young adults
participating in the study?
H01: Exposure and knowledge of CAM is not associated with the use of CAM
modalities for stress management among young adults participating in the study.
H11: Exposure and knowledge of CAM is associated with the use of CAM
modalities for stress management among young adults participating in the study.
Research Question 2: To what extent does dispositional coping style influence the
use of CAM modalities for stress management among young adults participating in the
study?
H02: Dispositional coping style does not influence the use of CAM modalities for
stress management among young adults participating in the study.
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H12: Dispositional coping style influences the use of CAM modalities for stress
management among young adults participating in the study.
Research Question 3: To what extent do sociodemographic variables influence the
use of CAM modalities for stress management among young adults participating in the
study?
H03: Sociodemographic variables do not influence the use of CAM modalities for
stress management (coping) among young adults participating in the study
H13: Sociodemographic variables influence the use of CAM modalities for stress
management among young adults participating in the study.
Research Question 4: To what extent does a difference exists in level of perceived
stress among study participants who use CAM modalities for stress management and
study participants who do not use CAM modalities for the stress management?
H04: There is no difference in the level of perceived stress among the study
participants who use CAM modalities for stress management and study participants who
do not use CAM for the stress management.
H14: There is a difference the level of perceived stress among the study
participants who use CAM modalities for stress management and study participants who
do not use CAM modalities for the stress management.
The subsequent sections present and discuss the data collection, statistical test results and
analysis, and summarize the chapter.
117
Data Collection
In this study I used a survey methodology utilizing validated survey instruments
to gather primary data for analyses of potential relationships to test the hypotheses and
address the research questions. From the surveys conducted, I collected data on the
following variables: exposure to CAM, stress level, dispositional working style, and the
use of CAM and non-CAM modalities for stress management among younger adults. The
dependent variable was the use of CAM modalities for stress management, which was
measured with the Use of Coping Behavior Scale (UCMS). The independent variables
were exposure to CAM (measured using the Knowledge and Exposure to CAM use
survey), stress level (measured using the Hassles Scale; HS), dispositional working style
(measured using the Coping Resource Inventory; CRI), and sociodemographic variables
(gender, race, socio-economic status, and marital status).
I utilized a purposive sampling technique targeted at younger adults aged 18-30
who were enrolled in a small university in southern California that offers degree
programs in the biological and health sciences and in CAM practice. Face-to-face survey
was conducted among the students. To achieve a power of at least 80%, the minimum
required sample size was 84 participants. The number of participants invited to
participate in the study was 420 students, and the collected completed responses totaled
200 participants, meeting the requirement of at least 84 participants to achieve a power of
80%.
118
Results
This section includes the descriptive statistics of the study variables, testing of
assumptions, and statistical test results and analysis in the following sections. There were
no cases with missing data.
Test for Outliers
To detect for univariate outliers in the dataset, the data for the variables were
converted to z-scores and compared to the critical value of +/- 3.29, with p < 0.001. Cases
with z-scores lower than -3.29 or higher than 3.29 were removed from the analysis.
Following the screening for outliers, seven cases were removed, leaving a total of 193
cases, which still exceeds the minimum required sample size of 84 to achieve a power of
at least 80%.
Demographic Characteristics
The demographic characteristics of the sample are reported in this section. The
demographic characteristics of the sample consisted of gender, ethnicity, race, marital
status, and socioeconomic status. The demographic characteristics are presented through
frequency tables in Tables 5 to 9. All participants from the sample were 18-30 years of
age.
Table 5 presents the frequency table for the gender of the participants. As
observed, 44.6% (n = 86) of the participants were male, and 55.4% (n = 107) of the
participants were female.
119
Table 5
Frequency Table of Gender
Frequency
Percent
Male
86
44.6
Female
107
55.4
Total
193
100.0
Table 6 presents the frequency table for ethnicity of the participants. Ethnicity
was categorized into: Hispanic or Latino, and Not Hispanic or Latino. The majority of the
samples, (n = 154, 79.8%) were Not Hispanic or Latino, while the remaining 20.2% (n =
39) were Hispanic or Latino.
Table 6
Frequency Table of Ethnicity
Frequency
Percent
Hispanic or Latino
39
20.2
Not Hispanic or Latino
154
79.8
Total
193
100.0
Table 7 presents the frequency table for race of the participants. Race was
categorized into: American Indian or Alaska Native, Asian, African-American, Native
Hawaiian or Pacific Islander, Caucasian, and Other. The participants were made up of
46.1% (n = 89) Caucasian, 19.7% (n = 38) Asian, 5.7% (n = 11) American Indian or
Alaska Native, 5.7% (n = 11) African-American, 4.7% (n = 9) Native Hawaiian or
Pacific Islander, and 18.1% (n = 35) other races.
120
Table 7
Frequency Table of Race
Frequency
Percent
American Indian or Alaska Native
11
5.7
Asian
38
19.7
African-American
11
5.7
Native Hawaiian or Pacific Islander
9
4.7
Caucasian
89
46.1
Other
35
18.1
Total
193
100.0
Table 8 presents the frequency table for the marital status of the participants.
Marital status was categorized as: single, married, unmarried but living with partner,
divorced, and separated. The majority of the sample were single (n = 139, 72%), 16.1%
(n = 31) were married, 8.3% (n = 16) were unmarried but living with a partner, 2.6% (n =
5) were divorced, and 1% (n = 2) were separated.
Table 8
Frequency Table of Marital Status
Frequency
Percent
Single
139
72.0
Married
31
16.1
Unmarried but living with partner
16
8.3
Divorced
5
2.6
Separated
2
1.0
Total
193
100.0
121
Table 9 presents the frequency table for the socio-economic status of the
participants as measured through income level. The income level categories were: less
than $10,000; $10,000–$20,000; $20,001–$30,000; $30,001–$40,000; and more than
$40000. The majority of the sample (n = 130, 67.4%) had income lower than $10,000;
13% (n = 25) had income from approximately $10,000 to $20,000; 4.7% (n = 9) had
income between $20,001 to $30,000; 5.7% (n =11) had income between $30,001 to
$40,000, and 9.3% (n = 18) had income more than $40,000.
Table 9
Frequency Table of Socio-Economic Status Measured Through Income Level
Frequency
Percent
Less than $10000
130
67.4
$10000 - $20000
25
13.0
$20001 - $30000
9
4.7
$30001 - $40000
11
5.7
More than $40000
18
9.3
Total
193
100.0
Descriptive Statistics
The descriptive statistics of the independent and dependent variables of the study
are presented in this section. The independent variables, in addition to the demographic
variables presented in the previous section, were exposure to CAM, stress level, and
dispositional working style, while the dependent variable was the use of CAM modalities
for stress management. The descriptive statistics of the study variables are presented in
Table 10. Knowledge and exposure to CAM was measured using the Knowledge and
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Exposure to CAM use survey, which had responses ranging from 1 to 5, with 1 being the
lowest degree and 5 being the highest degree. To obtain the data to be used for statistical
analyses, the average was taken for the responses from the Knowledge and Exposure to
CAM use instrument. For knowledge and exposure to CAM, the mean value was 2.06
(SD = 0.57), with a skewness of 0.58 and kurtosis of 0.07.
Stress level was measured with the HS, which used a four-point Likert-type scale
ranging from 0 to 3, with 0 being the least (or none) severe, and 3 being the most severe
in terms of stress level. To obtain the data to be used for statistical analyses, the average
of the responses from the HS were taken. For stress level, the mean value was 0.60 (SD =
0.48), with a skewness of 0.81 and kurtosis of 0.11. Dispositional working style was
measured using the CRI, which used a four-point Likert-type scale ranging from 1 to 4,
with 1 being the least resilient and 4 being the most resilient in terms of dispositional
working style.
To obtain the data to be used for statistical analyses, I took an average of the
responses from the CRI. For dispositional working style, the mean value was 2.96 (SD =
0.47), with a skewness of 0.01 and kurtosis of 0.17. There were three variables for the use
of coping behavior for stress management: CAM, non-CAM, and exercise. These were
measured using the UCMS, which used a five-point Likert-type scale ranging from 1 to 5,
with 1 being the least use and 5 being the greatest use in terms of coping behavior use for
stress management. Use of CAM was obtained by taking the average of the CAM-related
items; use of non-CAM was obtained by taking the average of items related to
123
prescription drugs, alcohol, smoking, sex, and sleep; and use of exercise was obtained by
taking the average of workout and run/walk.
For the use of CAM for stress management, the mean value was 1.98 (SD = 0.69),
with a skewness of 1.38 and kurtosis of 2.11. For the use of non-CAM for stress
management, the mean value was 2.39 (SD = 0.79), with a skewness of 0.48 and kurtosis
of 0.61. For the use of exercise for stress management, the mean value was 3.19 (SD =
1.27), with a skewness of -0.14 and kurtosis of -0.93.
Table 10
Descriptive Statistics of Study Variables (n = 193)
Mean
Std.
Deviation
Skewness
Kurtosis
Statistic
Statistic
Statistic
Std.
Error
Statistic
Std.
Error
Knowledge and exposure
to CAM
2.0630
.57374
.577
.175
.074
.348
Levels of life stress
.6025
.47544
.806
.175
.111
.348
Dispositional working
style
2.9599
.47214
.011
.175
.173
.348
Use of coping behavior
for stress management –
CAM
1.9818
.68976
1.380
.175
2.112
.348
Use of coping behavior
for stress management -
non CAM
2.3948
.78963
.483
.175
.605
.348
Use of coping behavior
for stress management –
exercise
3.1917
1.26945
-.142
.175
-.928
.348
Test for Normality of Data
124
To test for normality of data, I conducted a Shapiro-Wilk’s test for normality.
Results of the test for normality are presented in Table 11 and supplemented by
histograms with normal curves in Figures 4 to 9. For the study variables, only
dispositional working style was found to be normally distributed (p = 0.147). Knowledge
and exposure to CAM data were not normally distributed (p = 0.001), with Figure 4
showing slight skewness towards the left. Stress level data were not normally distributed
(p < 0.001), with Figure 5 showing skewness to the left. Dispositional working style
was normally distributed (p = 0.147), with Figure 6 showing data spread under the
normal curve. Use of CAM for stress management data was not normally distributed (p <
0.001), with Figure 7 showing skewness towards the left. Use of non-CAM modalities for
stress management data were not normally distributed (p < 0.001), with Figure 8 showing
skewness towards the left. Use of exercise for stress management data were not normally
distributed (p < 0.001), with data spread unevenly over and under the normal curve as
seen in Figure 9.
Table 11
Shapiro-Wilk’s Test for Normality of Study Variables
Statistic
Df
Sig.
Knowledge and exposure to CAM
.974
193
.001
Levels of life stress
.932
193
.000
Dispositional working style
.989
193
.147
Use of coping behavior for stress management – CAM
.892
193
.000
Use of coping behavior for stress management - non CAM
.971
193
.000
Use of coping behavior for stress management – exercise
.927
193
.000
125
Figure 4. Histogram of knowledge and exposure to CAM with normal curve.
Figure 5. Histogram of stress level with normal curve.
126
Figure 6. Histogram of dispositional working style with normal curve.
Figure 7. Histogram of use of coping behavior for stress management - CAM with
normal curve.
127
Figure 8. Histogram of use of coping behavior for stress management – non-CAM with
normal curve.
Figure 9. Histogram of use of coping behavior for stress management – exercise with
normal curve.
Hypothesis 1
128
The first hypothesis examined the relationship of exposure to and knowledge of
CAM with the use of CAM modalities for stress management. The independent variable
for this test was the knowledge and exposure to CAM, while the dependent variable was
the use of CAM modalities for stress management. Because both variables are
continuous, a correlation test was appropriate. Because at least one of the variables was
not normally distributed, I instead performed the non-parametric alternative, the
Spearman’s correlation test. Results of the Spearman’s correlation test are presented in
Table 12. As observed, there was a statistically-significant, strong positive correlation
between knowledge of and exposure to CAM and use of CAM modalities for stress
management (rs(191) = 0.88, p < 0.001). As such, there was enough evidence to reject the
first null hypothesis.
129
Table 12
Spearman’s Correlation between Knowledge and Exposure of CAM and Use of CAM
Modalities for Stress Management
Knowledge
and exposure
to CAM
Use of coping
behavior for stress
management -
CAM
Spearman's
rho
Knowledge and
exposure to CAM
Correlation
Coefficient
1.000
.880**
Sig. (2-
tailed)
.000
N
193
193
Use of coping
behavior for stress
management –
CAM
Correlation
Coefficient
.880**
1.000
Sig. (2-
tailed)
.000
N
193
193
Hypothesis 2
The second hypothesis examined the relationship of dispositional coping style
with the use of CAM modalities for stress management. The independent variable for this
test was the dispositional working style, while the dependent variable was the use of
CAM modalities for stress management. Because both variables are continuous in nature,
a correlation test was appropriate. Because at least one of the variables was not normally
distributed, I instead performed the non-parametric alternative, the Spearman’s
correlation test. Results of the Spearman’s correlation test are presented in Table 13. I
130
observed a statistically-significant, very weak positive correlation between dispositional
working style and use of CAM modalities for stress management (rs(191) = 0.143, p =
0.048). As such, there was enough evidence to reject the second null hypothesis.
Table 13
Spearman’s Correlation between Dispositional Working Style and Use of CAM
Modalities for Stress Management
Dispositional
working style
Use of coping
behavior for stress
management -
CAM
Spearman's
rho
Dispositional
working style
Correlation
Coefficient
1.000
.143*
Sig. (2-
tailed)
.048
N
193
193
Use of coping
behavior for stress
management –
CAM
Correlation
Coefficient
.143*
1.000
Sig. (2-
tailed)
.048
N
193
193
Hypothesis 3
The third hypothesis examined the relationship between the sociodemographic
variables and the use of CAM modalities for stress management. The independent
variables were gender, ethnicity, race, marital status, and socio-economic status, while
the dependent variable was the use of CAM modalities for stress management. Because
the independent variables are categorical in nature, while the dependent variable is
131
continuous, I conducted analysis of variance for each demographic variable and the
dependent variable. As such, I conducted a series of ANOVAs to test the third
hypothesis.
The first demographic variable that I tested was gender. Tables 14 and 15 present
the results of the ANOVA test between gender and use of CAM modalities for stress
management. The Levene’s test results in Table 14 show that the assumption of
homogeneity in variance is met (p = 0.976), and while the dependent variable is not
normally distributed, ANOVA is robust to violations in normality. As such, I conducted
ANOVA to test the relationship between gender and the use of CAM modalities for stress
management. The results of the ANOVA test are presented in Table 15. As observed,
there was no statistically-significant difference on the use of CAM modalities for stress
management between genders (F(1,191) = 2.941, p = 0.088).
Table 14
Levene’s Test of Homogeneity for Gender and Use of CAM Modalities for Stress
Management
Levene statistic
df1
df2
Sig.
.001
1
191
.976
132
Table 15
ANOVA Test for Gender and Use of CAM Modalities for Stress Management
Sum of squares
df
Mean square
F
Sig.
Between groups
1.385
1
1.385
2.941
.088
Within groups
89.963
191
.471
Total
91.348
192
The second demographic variable tested was ethnicity. Tables 16 and 17 present
the results of the ANOVA test between ethnicity and use of CAM modalities for stress
management. The Levene’s test results in Table 16 show that the assumption of
homogeneity in variance is met (p = 0.633), and while the dependent variable is not
normally distributed, ANOVA is robust to violations in normality. As such, I conducted
ANOVA to test the relationship between ethnicity and the use of CAM modalities for
stress management. The results of the ANOVA test are presented in Table 17. I observed
no statistically-significant difference in the use of CAM modalities for stress
management between ethnicity (F(1,191) = 0.127, p = 0.722).
Table 16
Levene’s Test of Homogeneity for Ethnicity and Use of CAM Modalities for Stress
Management
Levene statistic
df1
df2
Sig.
.228
1
191
.633
133
Table 17
ANOVA Test for Ethnicity and Use of CAM Modalities for Stress Management
Sum of squares
Df
Mean square
F
Sig.
Between groups
.061
1
.061
.127
.722
Within groups
91.287
191
.478
Total
91.348
192
The third demographic variable tested was race. Tables 18 and 19 present the
results of the ANOVA test between race and use of CAM modalities for stress
management. The Levene’s test results in Table 18 show that the assumption of
homogeneity in variance is met (p = 0.458), and while the dependent variable is not
normally distributed, ANOVA is robust to violations in normality. As such, I conducted
ANOVA to test the relationship between race and the use of CAM modalities for stress
management. The results of the ANOVA test are presented in Table 19. As observed,
there was no statistically-significant difference in the use of CAM modalities for stress
management between race (F(5,187) = 0.91, p = 0.476).
Table 18
Levene’s Test of Homogeneity for Race and Use of CAM Modalities for Stress
Management
Levene statistic
df1
df2
Sig.
.937
5
187
.458
134
Table 19
ANOVA Test for Race and Use of CAM Modalities for Stress Management
Sum of squares
Df
Mean square
F
Sig.
Between groups
2.169
5
.434
.910
.476
Within groups
89.179
187
.477
Total
91.348
192
The fourth demographic variable tested was marital status. Tables 20 and 21
present the results of the ANOVA test between marital status and use of CAM modalities
for stress management. The Levene’s test results in Table 20 show that the assumption of
homogeneity in variance is met (p = 0.969), and while the dependent variable is not
normally distributed, ANOVA is robust to violations in normality. As such, I conducted
ANOVA to test the relationship between marital status and the use of CAM modalities
for stress management. The results of the ANOVA test are presented in Table 21. As
observed, there was no statistically-significant difference on the use of CAM modalities
for stress management between marital status (F(4,188) = 0.203, p = 0.937).
Table 20
Levene’s Test of Homogeneity for Marital Status and Use of CAM Modalities for Stress
Management
Levene statistic
df1
df2
Sig.
.136
4
188
.969
135
Table 21
ANOVA Test for Marital Status and Use of CAM Modalities for Stress Management
Sum of squares
Df
Mean square
F
Sig.
Between groups
.392
4
.098
.203
.937
Within groups
90.955
188
.484
Total
91.348
192
The fifth demographic variable tested was socio-economic status. Tables 22 and
23 present the results of the ANOVA test between socio-economic status and use of
CAM modalities for stress management. The Levene’s test results in Table 22 show that
the assumption of homogeneity in variance is met (p = 0.366), and while the dependent
variable is not normally distributed, ANOVA is robust to violations in normality. As
such, I conducted ANOVA to test the relationship between socio-economic status and the
use of CAM modalities for stress management. The results of the ANOVA test are
presented in Table 23. As observed, there was no statistically-significant difference on
the use of CAM modalities for stress management between socio-economic status
(F(4,188) = 0.978, p = 0.421).
Table 22
Levene’s Test of Homogeneity for Socio-economic Status and Use of CAM Modalities for
Stress Management
Levene statistic
df1
df2
Sig.
1.083
4
188
.366
136
Table 23
ANOVA Test for Socio-economic Status and Use of CAM Modalities for Stress
Management
Sum of squares
df
Mean square
F
Sig.
Between groups
1.862
4
.465
.978
.421
Within groups
89.486
188
.476
Total
91.348
192
With the results of the tests presented above, there was not enough evidence to
reject the third null hypothesis. As such, I concluded that sociodemographic variables do
not influence the use of CAM modalities for stress management among younger adults
participating in the study.
Hypothesis 4
The fourth hypothesis examines the relationship between the use of CAM
modalities, non-CAM modalities, exercise modalities for stress management, and the
level of perceived stress among younger people. As the independent and dependent
variables are continuous in nature, multiple linear regression was appropriate. Results of
the multiple linear regression test are presented in Tables 24 to 26. The model summary
is presented in Table 24. As observed, there is a very low to negligible degree of
correlation between the independent variables and the dependent variable of stress level
(R square = 0.021). The ANOVA table in Table 25 indicates that, overall, the regression
model does not statistically significantly predict stress level (p = 0.254).
137
Finally, the coefficients table in Table 26 show that one of the variables, the use
of CAM modalities for stress management, has a statistically-significant positive
correlation with tress level (B = 0.11, p = 0.049). This indicates that the young adults who
experience the higher stress seems to use various CAM modalities for stress
management. The use of non-CAM and exercise modalities did not have statistically-
significant correlations with stress level (p = 0.598; p = 0.855, respectively). Given the
results of the multiple linear regression, the fourth null hypothesis was rejected; the use
of CAM modalities for stress management have statistically-significant correlations with
stress level, while the use of non-CAM and exercise modalities do not.
Table 24
Model Summary Table for Hypothesis 4
Model
R
R square
Adjusted R square
Std. error of the estimate
1
.146a
.021
.006
.47408
Table 25
ANOVA Table for Hypothesis 4
Model
Sum of squares
df
Mean square
F
Sig.
1
Regression
.922
3
.307
1.368
.254
Residual
42.478
189
.225
Total
43.400
192
138
Table 26
Coefficients Table for Hypothesis 4
Model
Unstandardized
coefficients
Standardized
coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
.461
.134
3.435
.001
Use of coping behavior for
stress management - CAM
.110
.055
.159
1.984
.049
Use of coping behavior for
stress management - non
CAM
-.025
.047
-.042
-.528
.598
Use of coping behavior for
stress management -
exercise
-.005
.029
-.014
-.183
.855
Summary
This quantitative correlational study was conducted to determine the relationship
between stress and younger adults’ complementary and alternative medicine (CAM) use.
The first null hypothesis was tested using Spearman’s correlation test and was rejected;
exposure and knowledge of CAM is associated with the use of CAM modalities for stress
management among younger adults participating in the study. The second null hypothesis
was tested using Spearman’s correlation test and was rejected; dispositional coping style
influences the use of CAM modalities for stress management among younger adults
participating in the study. The third null hypothesis was tested using a series of
ANOVAs, but there was not enough evidence to reject the null hypothesis;
sociodemographic variables do not influence the use of CAM modalities for stress
management (coping) among young adults participating in the study. The fourth null
139
hypothesis was tested through multiple linear regression and was rejected; use of CAM
modalities for stress management is a statistically significant correlated with stress level.
In the next chapter, I will interpret the findings, after which, I will discuss the study
limitations, implications for social change, and recommendations for future research.
140
Chapter 5: Discussion of the Findings
Introduction and Summary of the Findings
The use of CAM has been studied among younger adults; however, the use of
complementary and alternative medicine has not been studied in the context of stress
management among young adults (Seburg et al., 2012). Complementary and alternative
medicine modalities have been used for stress management. Studies have been devoted to
studying these techniques’ effects on stress management; however, there are few studies
that have examined who the individuals using these are and how they are used among
young adults. Most of the studies devoted to the topic have been focused on adult CAM
users (Tsang et al., 2013).
The purpose of this quantitative study was to examine whether exposure to CAM,
stress level, dispositional working style, socio-demographic variables, and social support
influence the use of CAM modalities for stress management among younger adults. In
addition, I examined differences in the levels of perceived stress among the younger
adults who use CAM modalities and those who do not use CAM modalities for stress
management. I used a quantitative cross-sectional study to address the research questions
and their respective hypotheses, utilizing several survey instruments to collect data. The
sampling procedure utilized was a purposive sampling technique and was targeted to
young adults aged 18-30 who were enrolled in a small university in southern California
that offers degree programs in the biological and health sciences and in CAM practice.
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The first null hypothesis was rejected. This means that exposure to and
knowledge of CAM is associated with the use of CAM modalities for stress management
among the young adults. The second null hypothesis was also rejected. This means that
dispositional coping style influences the use of CAM modalities for stress management
among younger adults participating in the study. In testing the third hypothesis, there was
not enough evidence to reject the null hypothesis. This means that sociodemographic
variables did not influence the use of CAM modalities for stress management (coping)
among younger adults participating in the study. The fourth null hypothesis was rejected.
This means that use of CAM modalities for stress management is statistically-
significantly correlated with stress level.
In this chapter, I will present the interpretation and discussion of the findings.
Then, I will present the implication of the findings, followed by limitations of the
findings and recommendations for future research and practice. Lastly, I will present a
summary and the conclusions of the dissertation.
Interpretation of the Findings
The interpretation of the findings will be presented in this part. This section will
also address the relevance of the findings to the literature. I will analyze and interpret the
findings in the context of the theoretical framework as appropriate.
Research Question 1: To what extent is exposure and knowledge of CAM
associated with the use of CAM modalities for stress management among young adults
participating in the study?
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The first hypothesis examined the relationship of exposure to and knowledge of
CAM with the use of CAM modalities for stress management. The independent variable
for this test was the knowledge and exposure to CAM, while the dependent variable was
the use of CAM modalities for stress management. The results revealed that there is a
statistically-significant, strong positive correlation between knowledge of and exposure to
CAM and use of CAM modalities for stress management. The first null hypothesis was
rejected.
This finding extends the knowledge about CAM and its effectiveness as a tool for
stress management among younger adults. There is no study identified in the literature
that specifically explored the relationship between exposure to and knowledge of CAM
with the use of CAM modalities for stress management. Two studies were identified
about the use of CAM modalities by students as a tool for stress management. The first,
by Conley et al. (2013), investigated the outcomes of promoting psychosocial adjustment
and stress management in first-year college students engaged in a psychosocial wellness
seminar. The intervention and control participants showed no differences at baseline, but
the intervention group reported significantly greater perceived improvements in stress
management and psychosocial adjustment over the course of the seminar. As such, the
findings supported the use of educational programmatic approaches embedded in the
academic curriculum to promote psychosocial adjustment and stress management in
college students and to counter the potential development of maladaptive coping
strategies.
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The second study, by Chiauzzi et al. (2008), implemented “MyStudentBody-
Stress,” an online stress management program, at six U.S. colleges. The participating
students were randomized into three groups: those in the MyStudentBody-Stress
program, those given access to a control health information website, or no intervention.
There were no group differences among the three groups, but analysis revealed that
MyStudentBody-Stress participants were more likely to increase weekly physical
activity, use specific stress management methods, and exhibit decreased anxiety and
family problems (Chiauzzi et al., 2008). The finding provided evidence that stressed
younger adults are capable of adopting and practicing stress management techniques
presented through an objective and impersonal medium.
These two studies provided evidence that students can and will choose effective
stress management techniques presented within the context of daily educational
requirements, or presented as available non-compulsory stress reduction resources. With
the finding of the current study, it would seem that when students have knowledge and
have been exposed to CAM, then they are more likely to seek and obtain stress
management assistance from their healthcare providers.
However, studies have found that some heavily-stressed students do not embrace
or pursue recommended CAM modalities, even if those modalities are known to them
and readily available. Thomas et al. (2014) found that fewer than 25% of psychology
students were willing to seek professional help or use readily-available campus resources
to treat mental distress. Brimstone et al. (2007) found that students preferred to self-treat
by engaging their social support system for advice and solace.
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The conceptual model derives from the understanding that executive decision-
making in younger adults is still developing (Caspi et al., 1996; Huffman, 2012;
Steinberg et al., 2010), and underscores the potential for stressed young adults to choose
a coping mechanism with which they have had long-term familiarity—rather than to
implement new knowledge and skills learned in their respective field. This understanding
is framed within the transactional model of stress and coping. The coping behaviors of
stressed younger adults are effective only when stress is strong, available resources are
well known, and coping strategies are actually implemented. According to this
conceptualization, life stressors are operative through exposure to and training in CAM
stress management techniques, and have the potential to moderate the extent to which
CAM techniques are internalized (Zimmerman & Kandiah, 2012).
Research Question 2: To what extent does dispositional coping style relate to the
use of CAM modalities for stress management among young adults participating in the
study?
The second hypothesis examined the relationship of dispositional coping style
with the use of CAM modalities for stress management. The independent variable for this
test is the dispositional working style, while the dependent variable is the use of CAM
modalities for stress management. The results revealed a statistically-significant, very
weak positive correlation between dispositional working style and use of CAM
modalities for stress management (rs(191) = 0.143, p = 0.048). As such, there was enough
evidence to reject the second null hypothesis.
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This finding extends knowledge in the CAM literature. Nothing in the literature
reviewed to date has suggested that any given dispositional coping style would influence
an individual to be more or less inclined to internalize or utilize CAM.
Coping styles are considered as stable characteristics inherent in individuals
(Gillespie & Gates, 2013). Lazarus (1993) proposed that a coping style is a general
attribute that an individual employs across situations. Moreover, this coping style relies
on dispositional-compatible coping behaviors by biasing selection among competing
behavioral options within coping effort categories. Researchers have also determined that
coping styles modify the effectiveness of a given coping strategy among individuals
(Lazarus, 1993).
Predispositional coping styles have been found to be effective when individuals
face stressful life events (Guo et al., 2013). One such coping style is resilience, which is
an individual’s capacity to successfully adapt to adverse challenges (Punamaki et al.,
2008). Another coping style is optimism, which is the tendency to view situations from a
positive perspective (Rinaldis et al., 2012).
The optimism coping style is the most investigated aspect of the Lazarus model
(Rinaldis et al., 2012). The rational or problem-focused style is also another commonly
investigated predispositional style (Shikai et al., 2008). A third often-investigated
predisposition is emotional style (Antonovsky, 1990).
Recent studies into dispositional styles have focused on differentiating situational
coping. Shikai et al. (2008) examined the relationship between dispositional coping style
in adulthood and childhood experiences in Japanese undergraduates. Results revealed that
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an emotion-oriented coping style was found more frequently among adults who were
neglected or emotionally abused during childhood. Punamaki et al. (2008) concluded that
low dependence on emotion-focused strategies of coping and high levels of active and
constructive coping were linked with low levels of psychiatric symptoms and
psychological distress, but were linked neither with the overarching categories of
dispositional style, nor situational coping buffered distress.
The results of Sasaki and Yamasaki’s (2007) study showed that dispositional
coping style predicted situational coping practices and that increases in pre-dispositional
emotion-focused coping (disposition before the outcomes of coping) were negatively
linked to health status. The researchers noted that these results contrasted with their
earlier findings (Sasaki & Yamasaki, 2005) that a predisposition to use cognitive
reinterpretation and problem-solving led to greater distress. Sasaki and Yamasaki (2007)
interpreted the findings of their two studies (2005; 2007) and stated that predisposition
does, indeed, bias the choice of specific coping strategies for specific stressful events
among the study population, but the effectiveness of the specific strategies selected is
dependent on the specific stressor to which they are applied. This is consistent with
findings from the coping literature that suggest that problem-solving strategies are most
useful when circumstances are controllable (Mohammad et al., 2013), that emotional
coping strategies are more effective in protecting wellbeing in situations that cannot be
controlled (Grebner et al., 2005), and that meaning-based coping is a useful antecedent to
purposeful problem-solving (Rinaldis et al., 2012).
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Dispositional coping style is a recognized mediator in the transactional model of
stress and coping, as it biases the individual to favor one type of coping behavior over
other available options (Lazarus, 1993). The model includes the outcomes of coping and
the role of dispositional coping in supporting optimism and promoting information-
seeking behaviors. There is no study in the literature that has suggested that any given
dispositional coping style would influence an individual to be more or less inclined to
internalize or utilize CAM. With the current finding, it was revealed that dispositional
coping style does have an impact.
Research Question 3: To what extent do sociodemographic variables influence the
use of CAM modalities for stress management among young adults participating in the
study?
The third hypothesis examined the relationship between the sociodemographic
variables and the use of CAM modalities for stress management. The independent
variables here were gender, ethnicity, race, marital status, and socio-economic status,
while the dependent variable was the use of CAM modalities for stress management.
Each demographic variable was tested, and there was enough evidence to reject the third
null hypothesis.
The first demographic variable tested was gender. The result revealed that there is
no statistically-significant difference in the use of CAM modalities for stress
management between genders. Another demographic variable tested was race. The result
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revealed that there is no statistically-significant difference on the use of CAM modalities
for stress management between races.
The finding that there is no statistically-significant difference in the use of CAM
modalities for stress management between gender and race disconfirms the findings of
previous studies. The findings in the literature reviewed for this study also demonstrated
gender and racial differences in both the manner in which stressors are experienced and
the coping mechanisms chosen to address stress (Welle & Graf, 2011). It was expected
that gender and/or race have a role in the internalization and use of CAM stress
management techniques (Welle & Graf, 2011). The role of gender and race in the
internalization and use of CAM stress management techniques have been factored into
the conceptual model. Given the current finding, it could mean that gender and race
should not be included in the conceptual model.
Another demographic variable tested was ethnicity. The result revealed that there
is no statistically -significant difference in the use of CAM modalities for stress
management between ethnicity. There was no identified study in the literature that
focused on the impact of ethnicity on the use of CAM modalities for stress management.
The role of ethnicity in the internalization and use of CAM stress management techniques
have been factored into the conceptual model. Given the current finding, it could mean
that ethnicity should not be included in the conceptual model, but this would depend on
the definition of ethnicity.
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