Research paper Blacks managing high blood pressure while maintaining a quality lifestyle
O R I G I N A L P A P E R
The Association Between Self-Efficacy and Hypertension Self-Care Activities Among African American Adults
Jan Warren-Findlow • Rachel B. Seymour •
Larissa R. Brunner Huber
Published online: 6 May 2011
� Springer Science+Business Media, LLC 2011
Abstract Chronic disease management requires the
individual to perform varying forms of self-care behaviors.
Self-efficacy, a widely used psychosocial concept, is
associated with the ability to manage chronic disease. In
this study, we examine the association between self-effi-
cacy to manage hypertension and six clinically prescribed
hypertension self-care behaviors. We interviewed 190
African Americans with hypertension who resided in the
greater metropolitan Charlotte area about their self-efficacy
and their hypertension self-care activities. Logistic
regression for correlated observations was used to model
the relationship between self-efficacy and adherence to
hypertension self-care behaviors. Since the hypertension
self-care behavior outcomes were not rare occurrences, an
odds ratio correction method was used to provide a more
reliable measure of the prevalence ratio (PR). Over half
(59%) of participants reported having good self-efficacy to
manage their hypertension. Good self-efficacy was statis-
tically significantly associated with increased prevalence of
adherence to medication (PR = 1.23, 95% CI: 1.08, 1.32),
eating a low-salt diet (PR = 1.64, 95% CI: 1.07–2.20),
engaging in physical activity (PR = 1.27, 95% CI:
1.08–1.39), not smoking (PR = 1.10, 95% CI: 1.01–1.15),
and practicing weight management techniques (PR = 1.63,
95% CI: 1.30–1.87). Hypertension self-efficacy is strongly
associated with adherence to five of six prescribed self-care
activities among African Americans with hypertension.
Ensuring that African Americans feel confident that
hypertension is a manageable condition and that they are
knowledgeable about appropriate self-care behaviors are
important factors in improving hypertension self-care and
blood pressure control. Health practitioners should assess
individuals’ self-care activities and direct them toward
practical techniques to help boost their confidence in
managing their blood pressure.
Keywords Adherence � Hypertension � Minorities � Self-efficacy � Self-management
Introduction
Over 40% of adults aged 45–64 and over 70% of adults
over age 65 have hypertension [1]. Current clinical policy,
based on the Joint National Committee on Prevention,
Detection, Evaluation, and Treatment of High Blood
Pressure (JNC7), recommends that people with hyperten-
sion engage in six self-care activities: adhering to antihy-
pertensive medication regimens, maintaining or losing
weight, following a low-salt diet, limiting alcohol, engag-
ing in regular physical activity, and eliminating tobacco
use [2]. The positive effects of these self-care behaviors on
the treatment and management of high blood pressure have
been demonstrated in randomized control trials [3]. How-
ever, rates of self-care engagement among hypertensive
adults are relatively low [4–7].
Among African Americans, the prevalence of hyper-
tension is significantly higher than among White Ameri-
cans (45.2% versus 29.1%) [8]. African Americans are also
less likely to have their blood pressure controlled than
Whites [9]. Studies that examine factors that predict
J. Warren-Findlow (&) � L. R. Brunner Huber Department of Public Health Sciences, The University of North
Carolina Charlotte, 9201 University City Boulevard, Charlotte,
NC 28223, USA
e-mail: [email protected]
R. B. Seymour
Center for Research on Health and Aging, The University
of Illinois Chicago, Chicago, IL, USA
123
J Community Health (2012) 37:15–24
DOI 10.1007/s10900-011-9410-6
control of blood pressure frequently adjust for participants’
clinical risk factors such as obesity, other chronic condi-
tions and treatment with medication, but less frequently
assess the self-care activities that individuals engage in to
help manage their blood pressure. Poor adherence to self-
care behaviors may explain in part the health disparities
experienced by African Americans with respect to hyper-
tension and its consequences.
Adherence to antihypertensive medications is lower
among African Americans than among Whites [6, 10].
African Americans are frequently prescribed a more com-
plex drug regimen than Whites, that requires them to take
multiple medications [4]. They are more likely to complain
of uncomfortable side effects from drugs such as diuretics,
which may contribute to their low adherence [11]. African
Americans are more likely than Whites to eat a high fat diet
[12] and African American women have lower rates of
engaging in physical activity than Whites [13], thus
increasing the risk of obesity. Obesity is a risk factor for
prehypertension and hypertension [14, 15]. Maintaining or
losing weight can have a positive effect on blood pressure
management however African Americans are less likely to
achieve significant or lasting weight loss [16, 17]. Non-
Hispanic Blacks with hypertension are 39% less likely than
non-Hispanic Whites with hypertension to be following a
low-salt diet, such as DASH (Dietary Approaches to Stop
Hypertension) [5]. African Americans smoke cigarettes at
approximately the same rate as Whites, but are signifi-
cantly more likely to be exposed to secondhand smoke
[18, 19]. Alcohol usage among African Americans can be
described as encompassing opposite ends of the spectrum
with a higher prevalence of total abstinence but among
those who do drink alcohol, more reported occasions of
binge drinking [20]. This constellation of health risk factors
can make managing high blood pressure particularly
challenging, both for African Americans with hypertension
and for the health providers and practitioners working with
them. Cumulatively, these multiple risk factors create the
potential for even greater health disparities in relation to
stroke, kidney disease, end stage renal disease, disability
and death [21].
Helping individuals understand that hypertension is a
manageable condition can increase their confidence about
living with a chronic disease. Self-efficacy [22], or confi-
dence in one’s ability to participate in a given behavior, is a
common element in programs designed to improve chronic
illness self-management [23–25]. Self-efficacy has been
associated with better chronic disease self-care among
individuals managing asthma, diabetes, and arthritis [26, 27].
Within the context of chronic disease self-management,
measures of self-efficacy have focused on illness-related
domains such as managing pain and other symptoms, com-
municating with one’s physician, obtaining health-related
information, dealing with depression, and taking medication
[28]. Additional studies have examined self-efficacy in
relation to other self-care behaviors, such as diet and exer-
cise, but not necessarily within the chronic illness self-
management context [25].
Among African Americans with hypertension, self-
efficacy has been associated with self-report and objective
measures of adherence to medication regimens [4, 29, 30]
as well as participation in physical activity [31]. Further
studies have found that self-efficacy has been demonstrated
to be a predictor of African Americans’ participation in
other healthy behaviors such as following a recommended
diet [32] and weight loss [33]. To date, however, no study
has examined self-efficacy and its association with the
cluster of self-care behaviors that are recommended for
hypertension management. The purpose of this study is to
examine the association between self-efficacy to manage
hypertension and adherence to the current JNC7-recom-
mended self-care behaviors among African Americans with
hypertension. Findings from this study can be used to
inform patient self-care interventions for African Ameri-
cans with hypertension.
Methods
Study Design
The Caring for Hypertension in African American Families
(CHAAF) study was a cross-sectional study conducted at
the University of North Carolina at Charlotte (UNC
Charlotte) from September 2008 to August 2010. The
purpose of CHAAF was twofold: one, to assess chronic
illness self-care behaviors among African American adults
with hypertension [34]; and two, to examine psychosocial
factors that influence self-care adherence among this pop-
ulation, in particular family influences [35].
Study Recruitment
Study staff recruited older parent-adult child pairs from the
larger Charlotte, NC metropolitan community. We recrui-
ted through diverse outlets such as partnership with the
local chapter of the American Heart Association/American
Stroke Association, community-based organizations, low-
income health care clinics, Black churches, and barber
shops and hair salons. Several recruitment strategies were
utilized including mass emails to African Americans
employed at the university, letters to previous research
participants, newspaper and radio interviews describing the
study, and word-of-mouth from study participants.
Recruitment occurred from October 2008 through April
2010. All participants completed an informed consent
16 J Community Health (2012) 37:15–24
123
process approved by the UNC Charlotte Institutional
Review Board. A total of 190 participants were recruited
into the study (95 older parent-adult child pairs).
Study Inclusion and Exclusion Criteria
Eligible participants were African American, at least
21 years old, self-reported having been diagnosed with
high blood pressure for at least 6 months, and were pre-
scribed hypertensive medications. An individual was not
enrolled until his or her partner, either parent or child who
met the same eligibility criteria, was enrolled. During
prescreening for enrollment, we confirmed participants’
hypertension diagnosis by conducting a medication
inventory and then verifying that they were prescribed one
or more antihypertensive medications. For purposes of this
analysis, individuals missing data on the variables of
interest were excluded (n = 2); thus 188 individuals
remained for analysis.
Measures
All data for this study were collected using an original
survey. The six JNC7 prescribed hypertension self-care
activities were assessed using the H-SCALE (Hypertension
Self-Care Activity Level Effects), which was specifically
designed for this purpose. The H-SCALE, its items and
properties, have been previously described in detail [34].
Trained African American research assistants (undergrad-
uate students majoring in Public Health) conducted face-to-
face interviews at the participant’s preferred location (92%
were in his or her home or the home of a relative also
participating in the study). Interviews lasted an average of
58 min.
Exposure Variable
The exposure of self-efficacy to manage hypertension was
derived from a five item scale (see Table 1). This scale was
modified from an existing validated measure to assess self-
efficacy to manage disease in general by substituting the
words ‘‘high blood pressure’’ for ‘‘illness’’ [28]. Each item
begins with the phrase ‘‘How confident are you that you
can…?’’. Response options ranged from 1 (not confident at all) to 10 (totally confident). Internal consistency for the
measure was good (a = .81). A mean score was calculated and respondents who scored a 9 or above were classified as
having good self-efficacy.
Outcome Variables
To assess medication adherence, three items related to the
number of days in the past week that an individual (1) takes
blood pressure medication, (2) takes it at the same time
every day, and (3) takes the recommended dosage were
used. Responses were summed and participants reporting
that they followed these 3 recommendations on 7 out of
7 days were considered adherent. Internal consistency for
this scale was good (a = .84). Twelve items assessed practices related to eating a low-
salt diet, such as avoiding salt while cooking and eating,
and avoiding foods high in salt content. Nine of the items
were negatively phrased; these items were reverse coded. A
mean score was calculated and participants who followed
low-salt diet practices on 6 out of 7 days were considered
adherent. Internal consistency for this scale was adequate
(a = .74). Physical activity was assessed with two items. ‘‘How
many of the past 7 days did you do at least 30 min total of
physical activity?’’ and ‘‘How many of the past 7 days did
you do a specific exercise activity (such as swimming,
walking or biking) other than what you do around the
house or as part of your work?’’ Responses were summed
(range 0–14). Participants who scored an 8 or better were
coded as adhering to physical activity recommendations.
We established this criterion to ensure that participants had
to engage in a combination of frequency and duration of
activity and intensity of activity, in order to meet or exceed
the minimum requirements of 150 min per week of mod-
erate physical activity [36].
Smoking status was assessed with one item, ‘‘How many
of the past 7 days did you smoke a cigarette or cigar, even
Table 1 Self-efficacy to manage hypertension
1. Having high blood pressure often means doing different tasks and activities to manage your condition. How confident are you that you can do all the things necessary to manage your high blood pressure on a regular basis?
2. How confident are you that you can judge when changes in your high blood pressure mean you should visit a doctor?
3. How confident are you that you can do the different tasks and activities needed to manage your high blood pressure so as to reduce your need to see a doctor?
4. How confident are you that you can reduce the emotional distress caused by your high blood pressure so that it does not affect your everyday life?
5. How confident are you that you can do things other than just taking medication to reduce how much your high blood pressure affects your everyday life?
J Community Health (2012) 37:15–24 17
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just one puff?’’ Respondents who reported zero days were
considered a nonsmoker.
Alcohol intake was assessed using an existing measure,
the 3-item, National Institute on Alcohol Abuse and
Alcoholism (NIAAA) Quantity and Frequency Question-
naire [37]. For these analyses, adherence was deemed to be
alcohol abstinent. Participants who reported not drinking
any alcohol in the last 7 days, or who indicated that they
usually did not drink alcohol were considered abstainers.
Internal consistency of the scale was good (a = .88). Adherence to weight management was assessed with ten
items to determine dietary practices such as cutting portion
size and making food substitutions as well as exercising to
lose weight. Items were assessed based on recall of activ-
ities over the last 30 days. Using a 5-point Likert scale,
participants who reported that they agreed or strongly
agreed with all 10 items were considered adherent to
weight management practices. Internal consistency of the
scale was good (a = .87).
Covariates
The study collected information on a number of potential
confounders, including: age, gender, marital status, income
and education, as well as health-related variables. Self-
rating of health was assessed with responses ranging from
excellent (5) to poor (1). Participants who reported good to
excellent health were considered to have good self-rated
health. Participants were asked if they had any additional
chronic health problems from a prepared list of chronic
conditions [38]. Participants reporting no additional
chronic conditions in addition to hypertension were coded
as ‘‘hypertension only’’. Body mass index was calculated
from self-reported weight in pounds and height in inches.
Following conventional guidelines [39], BMI was catego-
rized as normal weight (BMI B 25.0), overweight
(BMI [ 25.0 and B30.0), obese (BMI [ 30.0 and B40.0), and extremely obese (BMI [ 40.0). We also assessed how many participants lacked health insurance.
Statistical Analyses
Frequencies and percentages were calculated for demo-
graphic and health characteristics as well as participants’
adherence to the self-care activities. Unadjusted odds ratios
(ORs) and 95% confidence intervals (CIs) were obtained to
examine the association between self-efficacy and hyper-
tension self-care outcomes, and to identify other factors
associated with the self-care outcomes. Since the data
included parent–child dyads, a generalized estimating
equations (GEE) approach was used to carry out logistic
regression for correlated responses. Multivariate logistic
regression for correlated responses was used to further
explore the relationship between self-efficacy and hyper-
tension self-care outcomes. A variable was considered to
be a confounder of the association between good self-
efficacy and a self-care outcome if it changed the OR by at
least 10%. Ultimately, there were no confounders associ-
ated with good self-efficacy and the outcomes for low-salt
diet adherence, physical activity, non-smoking, or weight
management. For the good self-efficacy and medication
adherence association, good self-rated health was identified
as a confounder. For the self-efficacy and alcohol absti-
nence association, gender was confirmed as a confounder.
Because the self-care outcomes were not rare occurrences,
we used the odds ratio correction method proposed by
Zhang and Yu [40] to provide a more reliable measure of
the prevalence ratio for all unadjusted and adjusted asso-
ciations. All analyses were conducted using SPSS v. 17 and
statistical significance was set at P B .05.
Results
An overall statistical description of the sample (n = 188)
by levels of self-efficacy is shown in Table 2. Participants
ranged in age from 22 to 88 years, with a mean age of
53 years. Over half were age 50 or above and nearly 70%
of the sample was female. Slightly more than a third of the
sample was married. Over three-fourths rated their health
as good to excellent. Eighty percent of the sample was
overweight or obese based on body mass index. Approxi-
mately 11% of participants did not have health insurance.
Adherence to hypertension self-care ranged from 22% for
low-salt diet adherence to 75% for not smoking, with
adherence to medication at 58%.
Bivariate and Multivariate Results
Demographic and Health Characteristics Associated
with Hypertension Self-Care
In unadjusted analyses (see Table 3), participants aged 50
and older had increased prevalence of being adherent to
medication (PR = 1.43, 95% CI: 1.13–1.69) as did women
(PR = 1.51, 95% CI: 1.10–1.85), and these results were
statistically significant. Overweight individuals had 39%
lower prevalence for medication adherence (95% CI:
0.33–0.97). Being a woman was statistically significantly
associated with higher prevalence of adherence to low salt
diet techniques. For physical activity, being uninsured
increased the prevalence of adherence by 1.54 times (95%
CI: 1.09–1.81). For adherence to smoking, women and those
participants with a 4 year college or graduate degree had
increased prevalence of not smoking (PR = 1.23, 95% CI:
1.04–1.36; PR = 1.25, 95% CI: 1.06–1.35; respectively).
18 J Community Health (2012) 37:15–24
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Table 2 Characteristics for African Americans by self-efficacy to manage hypertension
Characteristic Good SE to manage HTN (n = 111) Poor SE to manage HTN (n = 77) Total (n = 188)
N % N % N %
Age
50 or older 65 58.6 45 58.4 110 58.5
Less than 50 46 41.4 32 41.6 78 41.5
Gender
Female 75 67.6 59 76.6 134 71.3
Male 36 32.4 18 23.4 54 28.7
Marital status
Married 38 34.2 29 37.7 67 35.6
Not currently married 73 65.8 48 62.3 121 64.4
Household income
Over $50,000 33 29.7 31 40.3 64 34.0
$10,000–$50,000 56 50.5 33 42.9 89 47.3
0 to \ $10,000 22 19.8 13 16.9 35 18.6
Education
4 year college degree or better 23 20.7 25 32.5 48 25.5
Some college or 2 year degree 42 37.8 33 42.9 75 39.9
High school degree or less 46 41.4 19 24.7 65 34.6
Self-rated health
Good to excellent 81 73.0 66 85.7 147 78.2
Fair or poor 30 27.0 11 14.3 41 21.8
Chronic conditions
HTN only 19 17.1 18 23.4 37 19.7
Chronic condition ? HTN 92 82.9 59 76.6 151 80.3
Body mass index
Extremely obese (BMI C 40.0) 13 11.7 10 13.0 23 12.2
Obese (BMI C 30.0 but \ 40.0) 38 34.2 29 37.7 67 35.6
Overweight (BMI C 25.0 but \ 30.0) 38 34.2 23 29.9 61 32.4
Normal weight (BMI \ 25.0) 22 19.8 15 19.5 37 19.7
Uninsured
Yes 14 12.6 7 9.1 21 11.2
No 97 87.4 70 90.9 167 88.8
Medication adherence
Yes 56 50.5 53 68.8 109 58.0
No 55 49.5 24 31.2 79 42.0
Low-salt diet adherence
Yes 18 16.2 24 31.2 42 22.3
No 93 83.8 53 68.8 146 77.7
Physical activity adherence
Yes 48 43.2 50 64.9 98 52.1
No 63 56.8 27 35.1 90 47.9
Non-smoking adherence
Yes 77 69.4 64 83.1 141 75.0
No 34 30.6 13 16.9 47 25.0
Alcohol abstinence
Yes 70 63.1 53 68.8 123 65.4
No 41 36.9 24 31.2 65 34.6
Weight management adherence
Yes 22 19.8 35 45.5 57 30.3
No 89 80.2 42 54.5 131 69.7
J Community Health (2012) 37:15–24 19
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Lacking health insurance reduced the prevalence of not
smoking by 36% (95% CI: 0.36–0.92). Older age and gender
were associated with increased prevalence of alcohol absti-
nence (PR = 1.53, 95% CI: 1.27–1.72; PR = 1.75, 95% CI:
1.43–1.99; respectively). Participants who had no other
chronic conditions had reduced prevalence of being absti-
nent (PR = 0.79, 95% CI: 0.57–0.98), as did those who were
uninsured (PR = 0.41, 95% CI: 0.18–0.74). Those who were
extremely obese had 1.42 times the prevalence of being
abstinent from alcohol (95% CI: 1.08–1.55). Having a 4 year
college or graduate degree was associated with prevalence of
weight management adherence in unadjusted analyses
(PR = 1.71, 95% CI: 1.01–2.46.
Self-efficacy and Hypertension Self-Care
In models examining self-efficacy and hypertension self-
care (see Table 4), good self-efficacy to manage hyperten-
sion was statistically significantly associated with a higher
prevalence of adherence for five of the six JNC7 recom-
mended self-care behaviors. In unadjusted results the prev-
alence of adherence with medication was 1.20 times higher
among those with good self-efficacy as compared to those
with poor self-efficacy. After adjusting for self-rated health,
this prevalence was increased in magnitude and remained
statistically significant (PR = 1.23, 95% CI: 1.08–1.32). In
bivariate models, individuals with good self-efficacy had
Table 3 Corrected unadjusted associations between demographic and health characteristics and hypertension self-care activities
Medication
adherence PR
(95% CI)
Low-salt diet
adherence PR
(95% CI)
Physical activity
adherence PR
(95% CI)
Nonsmoking
PR (95% CI)
Alcohol
abstinence
PR (95% CI)
Weight
management
adherence
PR (95% CI)
Age
50 or older 1.43 (1.13–1.69) 1.02 (0.62–1.57) 0.84 (0.59–1.11) 1.10 (0.94–1.23) 1.53 (1.27–1.72) 1.18 (0.74–1.71)
Less than 50 Referent Referent Referent Referent Referent Referent
Gender
Female 1.51 (1.10–1.85) 2.04 (1.01–3.58) 1.08 (0.78–1.37) 1.23 (1.04–1.36) 1.75 (1.43–1.99) 1.15 (0.68–1.76)
Male Referent Referent Referent Referent Referent Referent
Marital status
Married 1.05 (0.78–1.30) 0.75 (0.40–1.30) 0.95 (0.67–1.20) 1.05 (0.86–1.18) 1.08 (0.83–1.27) 1.13 (0.69–1.68)
Not currently married Referent Referent Referent Referent Referent Referent
Household income
$50,000 or more 1.07 (0.69–1.40) 0.90 (0.36–1.88) 0.97 (0.59–1.33) 1.10 (0.90–1.23) 0.74 (0.43–1.07) 1.68 (0.93–2.47)
$10,000–$49,999 0.98 (0.66–1.27) 0.79 (0.34–1.58) 1.19 (0.79–1.57) 1.11 (0.93–1.23) 0.76 (0.47–1.05) 1.43 (0.80–2.13)
Less than $10,000 Referent Referent Referent Referent Referent Referent
Education
4 year college degree or better 1.15 (0.80–1.44) 1.32 (0.64–2.35) 1.08 (0.68–1.43) 1.25 (1.06–1.35) 0.81 (0.53–1.08) 1.71 (1.01–2.46)
Some college or 2 year degree 0.89 (0.63–1.13) 0.80 (0.39–1.46) 1.06 (0.72–1.37) 1.06 (0.90–1.17) 0.84 (0.58–1.09) 1.14 (0.69–1.68)
High school degree or less Referent Referent Referent Referent Referent Referent
Self-rated health
Good to excellent 0.81 (0.55–1.05) 1.35 (0.64–2.46) 1.23 (0.82–1.62) 1.20 (0.98–1.34) 0.86 (0.59–1.08) 1.37 (0.82–2.06)
Fair or poor Referent Referent Referent Referent Referent Referent
Chronic conditions
Hypertension only 0.84 (0.57–1.08) 1.11 (0.59–1.82) 1.78 (0.91–1.54) 0.93 (0.72–1.08) 0.79 (0.57–0.98) 1.30 (0.75–2.07)
Additional chronic conditions Referent Referent Referent Referent Referent Referent
Body mass index
Extremely obese 0.69 (0.30–1.16) 0.73 (0.21–1.95) 0.91 (0.45–1.38) 1.13 (0.80–1.28) 1.42 (1.08–1.55) 0.46 (0.15–1.20)
Obese 0.70 (0.38–1.06) 0.99 (0.45–1.89) 1.23 (0.78–1.63) 1.07 (0.81–1.23) 1.11 (0.82–1.32) 0.90 (0.47–1.53)
Overweight 0.61 (0.33–0.97) 1.06 (0.47–2.04) 0.93 (0.53–1.32) 0.99 (0.73–1.15) 0.99 (0.72–1.20) 0.83 (0.42–1.45)
Normal weight Referent Referent Referent Referent Referent Referent
Uninsured
Yes 0.55 (0.28–0.91) 0.39 (0.09–1.43) 1.54 (1.09–1.81) 0.64 (0.36–0.92) 0.41 (0.18–0.74) 0.62 (0.22–1.39)
No Referent Referent Referent Referent Referent Referent
20 J Community Health (2012) 37:15–24
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64% higher prevalence of adhering to low salt diet strategies
and 27% increased prevalence of engaging in physical
activity (low salt diet: PR = 1.64, 95% CI: 1.07–2.20;
physical activity: PR = 1.27, 95% CI: 1.08–1.39). Those
with good self-efficacy had 10% higher prevalence of not
smoking (PR = 1.10; 95% CI: 1.01–1.15). All of these asso-
ciations were statistically significant. Participants with good
self-efficacy had 63% higher prevalence of following good
weight management strategies (PR = 1.63; 95% CI:
1.30–1.87). Self-efficacy was not statistically significantly
associated with alcohol abstinence in unadjusted or adjusted
models.
Discussion and Conclusion
Discussion
This study found that the majority of African American
participants with hypertension had good self-efficacy to
manage their chronic illness. Individuals with good self-
efficacy had statistically significantly increased odds of
being adherent to medication regimens, using low-salt diet
techniques, engaging in physical activity, not smoking, and
utilizing common weight management strategies. Consistent
with other studies, self-efficacy is important to hypertension
self-care [41] and is associated with weight management
[33], and diet adherence [42]. Self-efficacy is also associated
with antihypertensive medication adherence [4, 29, 30].
Better self-efficacy was not associated with abstaining
from alcohol. It is possible that participants do not asso-
ciate reducing alcohol consumption as a hypertension self-
care behavior. This reasoning would suggest that health
providers should intervene to increase awareness of alcohol
consumption and its effects on hypertension management.
Alternatively our measure of self-efficacy may not be
specific enough to be associated with alcohol, perhaps
because of its addictive quality [43, 44]. Alcohol intake has
been associated with increased stress among African
Americans, suggesting that it may be used as a form of
stress coping [45].
In this sample of African Americans with hypertension,
less than one-third of participants were practicing common
strategies to maintain or lose weight even though most
were clinically overweight or obese. African Americans
may not realize how their weight status influences their
blood pressure, and that losing or maintaining their weight
as part of a comprehensive chronic disease management
strategy can have a positive effect on high blood pressure
[46]. Findings from this study point to the need to develop
and disseminate interventions which increase self-efficacy
related to hypertension management and that include
strategies for weight management or weight loss.
Importantly in this study we found that a disease-
specific measure of self-efficacy was associated with multiple
self-care behaviors. Typically self-efficacy is considered to
be behavior-specific [25], as for example in the case of
self-efficacy to take medication [29]. With this approach
Table 4 Corrected unadjusted and corrected adjusted
prevalence ratios and 95%
confidence intervals for the
associations between self-
efficacy and adherence to
recommended hypertension
self-care behaviors (n = 188)
a Adjusted for good self-rated
health b
Adjusted for gender
Good SE to
manage HTN
Poor SE to
manage HTN
Medication adherence
Unadjusted PR (95% CI) 1.20 (1.05–1.31) 1.00 (Referent)
Adjusted PR (95% CI) a
1.23 (1.08–1.32) 1.00 (Referent)
Low-salt diet adherence
Unadjusted PR (95% CI) 1.64 (1.07–2.20) 1.00 (Referent)
Adjusted PR (95% CI) N/A N/A
Physical activity adherence
Unadjusted PR (95% CI) 1.27 (1.08–1.39) 1.00 (Referent)
Adjusted PR (95% CI) N/A N/A
Non-smoking
Unadjusted PR (95% CI) 1.10 (1.01–1.15) 1.00 (Referent)
Adjusted PR (95% CI) N/A 1.00 (Referent)
Alcohol abstinence
Unadjusted PR (95% CI) 1.08 (0.87–1.23) 1.00 (Referent)
Adjusted PR (95% CI) b
1.05 (0.81–1.21) 1.00 (Referent)
Weight management adherence
Unadjusted PR (95% CI) 1.63 (1.30–1.87) 1.00 (Referent)
Adjusted PR (95% CI) N/A N/A
J Community Health (2012) 37:15–24 21
123
the investigator is required to measure participants’ confi-
dence level for each self-care activity and situation,
potentially increasing participant burden. From a theoreti-
cal perspective, when assessing self-efficacy related to
chronic illness self-management, our findings suggest that
the disease context is important to measure; less emphasis
may be placed on any one individual behavior. This finding
suggests that encouraging patients to have more confidence
in their ability to care for their high blood pressure may
yield multiple benefits in terms of their self-care adherence.
Importantly, self-efficacy is not a trait; it is a mutable
characteristic and, therefore, amenable to intervention
[25, 28].
Strengths and Limitations
The study findings should be interpreted with caution.
Hypertension self-care activities were self-reported. Mis-
classification could have occurred if participants reported
their behaviors incorrectly or inconsistently. It is also pos-
sible that there was recall bias, as participants were asked to
report their adherence over either the past 7 day or 30 day
(for weight management practices) time frame. Any mis-
classification would likely bias the results toward the null.
A second form of misclassification could have occurred
because of the lack of established adherence criteria.
Medication adherence has been measured with single
items, multiple items, over varying time periods, and with
different levels of adherence being deemed acceptable
[47]. In this study we used a restrictive criterion and
established medication adherence at 100%, which con-
tributes to the strength of our findings. Minimum physical
activity levels have been established for older adults
(including those with chronic illness) at 150 min per week
of moderate intensity [36]. We established our criteria for
physical activity adherence to be higher than that because
we also had younger participants in our study, and we
wanted a measure that combined frequency and duration of
activity with some assessment of intensity. Smoking is
classified as an all or nothing activity, however, even with
patients who do not smoke, it is important to assess how
many live with smokers. Recent data suggest that non-
smoking, African Americans continue to have passive
smoking exposure; thus maintaining their disease risk [19].
While alcohol is firmly established as a risk factor for
hypertension, recommended consumption levels remain
contradictory given potential heart healthy benefits [48].
However, these benefits have not been established for
African Americans [20]. The other two self-care activities
measure practical techniques that people use to aid in
eating a low-salt diet and/or losing or maintaining weight;
thus no previous criteria for adherence have been
determined.
Selection bias may have occurred. The African Ameri-
can adults who agreed to participate in this study could be
different from those who did not participate. Notably this
study recruited participants in parent–child pairs; adults
with hypertension who did not have a parent with hyper-
tension (or a living parent with hypertension) or an adult
child diagnosed with hypertension may be different than
those individuals enrolled in the study. If selection bias did
occur, it could result in an over or underestimate of the true
association.
We collected data on several potential confounders. One
of these, years living with hypertension, could not be
analyzed due to missing and inconsistent data. It is con-
ceivable that increased years of living with hypertension
could affect an individual’s self-efficacy to manage the
disease and/or a person’s adherence to self-care. Inability
to control for this variable could result in an over or
underestimate of the true association.
This study used a cross-sectional design which pre-
cludes the ability to determine causality or direction. The
study did not collect self-reported or actual measures of
blood pressure; thus we cannot examine the association
between self-efficacy and blood pressure control, or any of
the self-care behaviors and blood pressure control.
Strengths of this study include the assessment of all six
JNC7 recommended self-care behaviors using a validated
measure specifically designed for this purpose. We also
include the examination of a wide spectrum of demographic
and health factors in relation to hypertension self-care
activities among African Americans with hypertension. To
limit potential biases, we used race congruent interviewers
who conducted sessions in the participants’ homes to reduce
barriers to participation. Our sample included many
younger adults with hypertension and the sample was
middle class based on education and income. These two
groups of African Americans are often missing from the
hypertension research literature. Our measure of self-effi-
cacy was short, valid and reliable and could easily be used
in a primary care setting. The sample is diverse with respect
to the demographic and health factors studied, although it
should be noted that participants are from a Southern, urban
area that may limit the generalizability of the results to all
African Americans in the US. However, the results may be
generalizable to other African Americans residing in cities
in the Southeast US.
Conclusion
Self-efficacy to manage hypertension is associated with five
of six JNC7 prescribed self-care activities for managing high
blood pressure. Health care providers and public health
practitioners should work within the context of hypertension
22 J Community Health (2012) 37:15–24
123
self-care to increase patient knowledge and improve self-
efficacy for hypertension management. African Americans
may then have the prerequisite tools to more readily adopt
and adhere to self-care behaviors with the potential to reduce
significant health disparities. Future studies should be con-
ducted to determine if a dose–response relationship exists at
varying levels of adherence between these recommended
self-care activities and blood pressure control.
Providers need to consider the role of self-care adherence
among African Americans with uncontrolled hypertension.
Assessment of individuals’ self-care activities in addition to
medication adherence is an important first step. Given the
prevalence of hypertension within African American fami-
lies and communities, and the poor health outcomes expe-
rienced by this segment of the population, African
Americans may have low self-efficacy with respect to
hypertension. They may require specific counseling and
encouragement that hypertension is a manageable condition.
Acknowledgments Funding for this study was provided by a grant (R03AG030523) from the National Institute on Aging.
Conflict of interest The authors have no financial or other relationship.
References
1. Keenan, N. L., & Rosendorf, K. A. (2011). Prevalence of
hypertension and controlled hypertension—United States,
2005–2008. Morbidity and Mortality Weekly Report, 60, 94–97. 2. U.S. Department of Health and Human Services. (2004). The
seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure. Bethesda, MD: National Institutes of Health (NIH Publication
No. 04-5230).
3. Dickinson, H. O., Mason, J. M., Nicolson, D. J., Campbell, F.,
Beyer, F. R., Cook, J. V., et al. (2006). Lifestyle interventions to
reduce raised blood pressure: A systematic review of randomized
control trials. Journal of Hypertension, 24, 215–233. 4. Kressin, N. R., Wang, F., Long, J., Bokhour, B. G., Orner, M. B.,
Rothendler, J., et al. (2007). Hypertensive patients’ race, health
beliefs, process of care, and medication adherence. Journal of General Internal Medicine, 22, 768–774.
5. Mellen, P. B., Gao, S. K., Vitolins, M. Z., & Goff, D. C., Jr.
(2008). Deteriorating dietary habits among adults with hyper-
tension: DASH dietary accordance, NHANES 1988–1994 and
1999–2004. Archives of Internal Medicine, 168, 308–314. 6. Ndumele, C. D., Shaykevich, S., Williams, D., & Hicks, L. S.
(2010). Disparities in adherence to hypertensive care in urban
ambulatory settings. Journal of Health Care for the Poor and Underserved, 21, 132–143.
7. Weir, M. R., Maibach, E. W., Bakris, G. L., Black, H. R.,
Chawla, P., Messerli, F. H., et al. (2000). Implications of a health
lifestyle and medication analysis for improving hypertension
control. Archives of Internal Medicine, 160, 481–490. 8. Fryar, C. D., Hirsch, R., Eberhardt, M. S., Yoon, S. S., Wright, J.
D. (2010). Hypertension, high serum total cholesterol, and dia-
betes: Racial and ethnic prevalence differences in U.S. adults,
1999–2006. NCHS Data Brief 2010.
9. Howard, G., Prineas, R., Moy, C., Cushman, M., Kellum, M.,
Temple, E., et al. (2006). Racial and geographic differences in
awareness, treatment, and control of hypertension: the reasons for
geographic and racial differences in stroke study. Stroke, 37, 1171–1178.
10. Bosworth, H. B., Powers, B., Grubber, J., Thorpe, C., Olsen, M.,
Orr, M., et al. (2008). Racial differences in blood pressure con-
trol: Potential explanatory factors. Journal of General Internal Medicine, 23, 692–698.
11. Bosworth, H. B., Dudley, T., Olsen, M. K., Voils, C. I., Powers,
B., Goldstein, M. K., et al. (2006). Racial differences in blood
pressure control: potential explanatory factors. American Journal of Medicine, 119, 70.e9–70.e15.
12. Thompson, F. E., Midthune, D., Subar, A. F., McNeel, T.,
Berrigan, D., & Kipnis, V. (2005). Dietary intake estimates in the
National Health Interview Survey, 2000: Methodology, results,
and interpretation. Journal of the American Dietetic Association, 105, 352–363.
13. Hawkins, M. S., Storti, K. L., Richardson, C. R., King, W. C.,
Strath, S. J., Holleman, R. G., et al. (2009). Objectively measured
physical activity of USA adults by sex, age, and racial/ethnic
groups: A cross-sectional study. The International Journal of Behavioral Nutrition and Physical Activity, 31(6). doi: 10.1186/1479-5868-6-31
14. Manson, J. E., Skerrett, P. J., Greenland, P., & VanItallie, T. B.
(2004). The escalating pandemics of obesity and sedentary life-
style: A call to action for clinicians. Archives of Internal Medi- cine, 164, 249–258.
15. Blair, S. N., & Brodney, S. (1999). Effects of physical inactivity
and obesity on morbidity and mortality: Current evidence and
research issues. Medicine and Science in Sports and Exercise, 31, S646–S662.
16. Harvin, G., DeLegge, M., & Garrow, D. (2008). The impact of
race on weight loss after Roux-en-Y gastric bypass surgery.
Obesity Surgery, 18, 39–42. 17. Martin, P. D., Dutton, G. R., Rhode, P. C., Horswell, R. L., Ryan,
D. H., & Brantley, P. J. (2008). Weight loss maintenance fol-
lowing a primary care intervention for low-income minority
women. Obesity, 16, 2462–2467. 18. Centers for Disease Control and Prevention (CDC). (2010).
Vital signs: Current cigarette smoking among adults aged C
18 years—United States, 2009. Morbidity and Mortality Weekly Report, 59, 1135–1140.
19. Centers for Disease Control and Prevention (CDC). (2010). Vital
signs: nonsmokers’ exposure to secondhand smoke—United
States, 1999–2008. Morbidity and Mortality Weekly Report, 59, 1141–1146.
20. Sempos, C. T., Rehm, J., Wu, T., Crespo, C. J., & Trevisan, M.
(2003). Average volume of alcohol consumption and all-cause
mortality in African Americans: The NHEFS cohort. Alcoholism, Clinical and Experimental Research, 27, 88–92.
21. Office of Minority Health. Stroke and African Americans. (2009)
Available from: http://minorityhealth.hhs.gov/templates/content.
aspx?ID=3022 [cited 2010 July 29].
22. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of
behavior change. Psychological Review, 84, 191–215. 23. Du, S., & Yuan, C. (2010). Evaluation of patient self-manage-
ment outcomes in health care: A systematic review. International Council of Nurses, 57, 159–167.
24. Swendeman, D., Ingram, B. L., & Rotheram-Borus, M. J. (2009).
Common elements in self-management of HIV and other chronic
illnesses: An integrative framework. AIDS Care: Psychological and Socio-medical Aspects of AIDS/HIV, 21, 1321–1334.
25. Leventhal, H., Weinman, J., Leventhal, E., & Phillips, L. A.
(2008). Health psychology: The search for pathways between
behavior and health. Annual Review of Psychology, 59, 477–505.
J Community Health (2012) 37:15–24 23
123
26. Marks, R., Allegrante, J. P., & Lorig, K. (2005). A review and
synthesis of research evidence for self-efficacy enhancing inter-
ventions for reducing chronic disability: Implications for health
education practice (part II). Health Promotion Practice, 6, 148–156.
27. Bodenheimer, T., Lorig, K., & Holman, H. (2002). Patient self-
management of chronic disease in primary care. JAMA, 288, 2469–2475.
28. Lorig, K. R., Stewart, A. L., Ritter, P., Gonzalez, V., Laurent, D.
D., & Lynch, J. (1996). Outcome measures for health education and other health care interventions. Thousand Oaks, CA: SAGE Publications.
29. Fernandez, S., Chaplin, W., Schoenthaler, A., & Ogedegbe, G.
(2008). Revision and validation of the medication adherence self-
efficacy scale (MASES) in hypertensive African Americans.
Journal of Behavioral Medicine, 31, 453–462. 30. Schoenthaler, A., Ogedegbe, G., & Allegrante, J. P. (2009). Self-
efficacy mediates the relationship between depressive symptoms
and medication adherence among hypertensive African Ameri-
cans. Health Education and Behavior, 36, 127–137. 31. Martin, M. Y., Person, S. D., Kratt, P., Prayor-Patterson, H., Kim,
Y., Salas, M., et al. (2008). Relationship of health behavior
theories with self-efficacy among insufficiently active hyperten-
sive African-American women. Patient Education and Counsel- ing, 72, 137–145.
32. Pawlak, R., & Colby, S. (2009). Benefits, barriers, self-efficacy
and knowledge regarding healthy foods; perception of African
Americans living in eastern North Carolina. Nutrition Research and Practice, 3, 56–63.
33. Edell, B. H., Edington, S., Herd, B., O’Brien, R. M., & Witkin, G.
(1987). Self-efficacy and self-motivation as predictors of weight
loss. Addictive Behaviors, 12, 63–66. 34. Warren-Findlow, J., & Seymour, R. B. (in press). Prevalence
rates of hypertension self-care activities among African Ameri-
cans with hypertension. Journal of the National Medical Association.
35. Warren-Findlow, J., Seymour, R. B., & Shenk, D. (2011).
Intergenerational transmission of chronic illness self-care:
Results from the Caring for Hypertension in African American
Families study. The Gerontologist, 51(1), 64–75. 36. Chodzko-Zajko, W. J., Proctor, D. N., Fiatarone Singh, M. A.,
Minson, C. T., Nigg, C. R., Salem, G. J., et al. (2009). Exercise
and physical activity for older adults. Medicine and Science in Sports and Exercise, 41:1510–1530. doi:10.249/MSS.0b013e318 1a0c95c.
37. National Institute on Alcohol Abuse and Alcoholism. The phy- sician’s guide to helping patients with alcohol problems (pp. 95–3769). Washington, DC: NIH.
38. Hughes, S. L., Edelman, P., Chang, R. W., Singer, R., &
Schuette, P. (1991). The GERI-AIMS: Reliability and validity of
the Arthritis Impact Measurement Scales adapted for elderly
respondents. Arthritis and Rheumatism, 34, 856–865. 39. National Institutes of Health. (1998). Clinical guidelines on the
identification, evaluation, and treatment of overweight and
obesity in adults: the evidence report. Obesity Research, 6, 51s– 209s.
40. Zhang, J., & Yu, K. F. (1998). What’s the relative risk? A method
of correcting the odds ratio in cohort studies of common out-
comes. JAMA, 280, 1690–1691. 41. Bosworth, H. B., & Oddone, E. Z. (2002). A model of psycho-
social and cultural antecedents of blood pressure control. Journal of the National Medical Association, 94, 236–248.
42. Watters, J., & Satia, J. (2009). Psychosocial correlates of dietary
fat intake in African-American adults: A cross-sectional study.
Nutrition Journal, 8, 15. 43. Adamson, S. J., Sellman, J. D., & Frampton, C. M. A. (2009).
Patient predictors of alcohol treatment outcome: A systematic
review. Journal of Substance Abuse Treatment, 36, 75–86. 44. Hyde, J., Hankins, M., Deale, A., & Marteau, T. M. (2008).
Interventions to increase self-efficacy in the context of addiction
behaviours. Journal of Health Psychology, 13, 607–623. 45. Mulia, N., Ye, Y., Zemore, S. E., & Greenfield, T. K. (2008).
Social disadvantage, stress, and alcohol use among Blacks,
Hispanic, and White Americans: Findings from the 2005 U.S.
National Alcohol Survey. Journal of Studies on Alcohol and Drugs, 69, 824–833.
46. Aucott, L., Rothnie, H., McIntyre, L., Thapa, M., Waweru, C., &
Gray, D. (2009). Long-term weight loss from lifestyle interven-
tion benefits blood pressure? A systematic review. Hypertension, 54, 756–762.
47. van Dulmen, S. (2010). Moving forward to improve medication
adherence. Patient Education and Counseling, 81, 145–146. 48. Klatsky, A. L. (2010). Alcohol and cardiovascular health. Phys-
iology & Behavior, 100, 76–81.
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- c.10900_2011_Article_9410.pdf
- The Association Between Self-Efficacy and Hypertension Self-Care Activities Among African American Adults
- Abstract
- Introduction
- Methods
- Study Design
- Study Recruitment
- Study Inclusion and Exclusion Criteria
- Measures
- Exposure Variable
- Outcome Variables
- Covariates
- Statistical Analyses
- Results
- Bivariate and Multivariate Results
- Demographic and Health Characteristics Associated with Hypertension Self-Care
- Self-efficacy and Hypertension Self-Care
- Discussion and Conclusion
- Discussion
- Strengths and Limitations
- Conclusion
- Acknowledgments
- References