revise paper
A SYSTEMATIC REVIEW OF EATING DISORDER PREVENTION
AND PREVENTATIVE PROTOCOLS FOR ELITE FEMALE ATHLETES
IN INDIVIDUAL SPORTS
An Applied Doctoral Project submitted
by
TAYLOR LARSEN
February 2022
to
UNIVERSITY OF ARIZONA GLOBAL CAMPUS
Upon the recommendation of the Faculty and the approval of the Board of Trustees, this
Applied Doctoral Project is hereby accepted in partial fulfillment of the requirements for the
degree of
DOCTOR OF PSYCHOLOGY
Approved by:
_________________________________________
Todd D. Fiore, PhD
Committee Chair
Committee Member:
Heather Pederson, EdD
ii
Copyright © by
Taylor Larsen
2022
iii
A Systematic Review of Eating Disorder Prevention and Preventative Protocols for Elite
Female Athletes in Individual Sports
by
Taylor Larsen
Abstract
Female athletes are at a great risk of developing an eating disorder due several risk factors.
The purpose of this systematic literature review was to explore what sport psychology
preventative interventions are effective for eating disorders within elite female individual-
sport athletes, and to create best-practice recommendations for preventing eating disorders
within this population. This project synthesized and analyzed literature related to preventing
eating disorders among the elite female individual sport population, and determined which
interventions were most effective and why. The results indicated sport psychology
interventions such as athlete modified healthy weight focus interventions (AM-HWI) and
athlete modified cognitive-behavioral-dissonance-based interventions (AM-CBT) were most
effective at preventing eating disorders. Findings also suggested that interventions such as
providing prevention education to coaching staff and athletes were also effective with
prevention. The findings were integrated into a pamphlet that can be distributed to coaches
and practitioners with the purpose of educating elite coaching staff and peers on the warning
signs, risk factors, and ways to assist athletes with eating disorders.
Keywords: eating disorders, eating disorders among athletes, prevention of eating
disorders, prevention of eating disorders among athletes
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Acknowledgments
To my husband, who is my best friend and greatest support, thank you for
continuously supporting me and believing in me when I did not. You have helped me learn
what that I am capable of anything if I put my mind to it. Your unwavering support and love
have kept me motivated throughout this whole process. To my family, thank you for pushing
me to do and be better. To my chair, Dr. Todd Fiore, for his consistent support and
understanding. I could not have finished this project if it was not for you pushing me,
keeping me laughing, reminding me of my writing skills, and calming my overthinking. I
have yet to meet anyone who has your nuanced ability to push someone while also remaining
so supportive. To my committee member, Dr. Heather Pederson for all your contributions in
helping to make this project successful. Thank you to all the professors, peers, friends, and
family members that have encouraged me along the way.
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Dedication
To my father, who has recently passed away and unfortunately will not get to read
this. Thanks for always inspiring and believing in me. Your incredible work ethic has been
my model for working hard and remaining dedicated this this project.
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TABLE OF CONTENTS
CHAPTER I: INTRODUCTION ................................................................................ 10
GENERAL STATEMENT ............................................................................................. 11
JUSTIFICATION STATEMENT ..................................................................................... 12
PURPOSE OF THE PROJECT ........................................................................................ 13
IMPORTANCE OF THE PROJECT ................................................................................. 14
CONCEPTUAL FRAMEWORK ..................................................................................... 15
Rise in Female Sport Participation ..................................................................... 16
General Risk Factors for Eating Disorders ......................................................... 17
The Concept of Prevention Science .................................................................... 19
OVERVIEW OF THE PROJECT APPROACH .................................................................. 19
PROJECT QUESTIONS ................................................................................................ 21
DEFINITION OF TERMS ............................................................................................. 21
ASSUMPTIONS, LIMITATIONS, AND DELIMITATIONS ................................................. 24
Assumptions ........................................................................................................ 24
Limitations .......................................................................................................... 25
Delimitations ....................................................................................................... 25
SUMMARY ................................................................................................................ 26
CHAPTER II: REVIEW OF THE LITERATURE ................................................... 27
SEARCH STRATEGY .................................................................................................. 27
Summary of Sources ........................................................................................... 29
EATING DISORDERS ................................................................................................. 29
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Historical Examples of Eating Disorders ............................................................ 30
Diagnostic History of Eating Disorders .............................................................. 32
Common Medical Complications of Eating Disorders ....................................... 33
Common Behavioral and Psychological Characteristics of Eating Disorders .... 37
Prevalence Rates and High-Risk Populations ..................................................... 41
Eating Disorders Among Athletes ...................................................................... 42
Athlete Risk Factors ............................................................................................ 43
Athlete Health and Performance Concerns ......................................................... 45
Highest-Risk Athletes ......................................................................................... 48
Elite Female Individual Sport Athlete Risk Factors Leading to the Need for
Prevention ....................................................................................................................... 48
Sport Psychologists Addressing the Need for Prevention .................................. 49
WOMEN’S PARTICIPATION IN SPORTS ...................................................................... 51
History of Title IX and Growth of Women’s Sports .......................................... 52
Impact of Women in Athletics ............................................................................ 53
Implications of Growth in Women’s Sports ....................................................... 53
PREVENTION SCIENCE FRAMEWORK ........................................................................ 55
Classification of Prevention ................................................................................ 55
Prevention Science and Eating Disorders ........................................................... 57
High-Risk Population.......................................................................................... 59
Elite Female Individual-Sport Athletes and Prevention Science ........................ 60
KNOWLEDGE GAPS .................................................................................................. 60
Lack of Studies on High-Risk Female Athletes and Prevention ......................... 61
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Prevalence Rates ................................................................................................. 62
SUMMARY ................................................................................................................ 63
CHAPTER III: PROJECT APPROACH .................................................................... 65
PROJECT APPROACH ................................................................................................ 65
OVER-ARCHING RESEARCH QUESTIONS ................................................................... 66
POPULATION AND SAMPLE ....................................................................................... 66
ETHICAL CONCERNS ................................................................................................ 67
LITERATURE COLLECTION ....................................................................................... 68
INCLUSION CRITERIA ............................................................................................... 69
EXCLUSION CRITERIA .............................................................................................. 69
ANALYSIS OF LITERATURE ....................................................................................... 70
TRUSTWORTHINESS AND QUALITY OF RESULTS ....................................................... 71
SUMMARY ................................................................................................................ 71
CHAPTER IV: FINDINGS AND RECOMMENDATIONS ..................................... 73
FINDINGS ................................................................................................................. 73
Sample................................................................................................................. 74
Literature/Sample Collection .............................................................................. 75
Data Collection ................................................................................................... 83
EVALUATION OF FINDINGS ....................................................................................... 85
Themes ................................................................................................................ 86
ADDRESSING OVER-ARCHING RESEARCH QUESTIONS ............................................. 92
Which Eating Disorder Prevention Interventions Have Been Effective for Sport
Psychologists Working with the Athletic Population? ................................................... 93
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Why are These Interventions Effective? ............................................................. 94
DISCUSSION OF FINDINGS ........................................................................................ 96
Overall Suggestions for Preventing Eating Disorders Among Athletes ............. 96
Unexpected Findings .......................................................................................... 97
Importance of Findings for Research and Practice ............................................. 98
RECOMMENDATIONS .............................................................................................. 100
Limitations of the Study.................................................................................... 101
Implications for Practice ................................................................................... 103
Recommendations for Future Research ............................................................ 104
CONCLUSION .......................................................................................................... 105
APPENDIX- EATING DISORDER PREVENTION EDUCATION FOR ATHLETES AND
COACHING STAFF .............................................................................................................. 106
APPENDIX (CONT.) - EATING DISORDER PREVENTION EDUCATION FOR ATHLETES
AND COACHING STAFF ....................................................................................................... 108
REFERENCES .......................................................................................................... 109
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CHAPTER I: INTRODUCTION
Eating disorders have been identified as the most severe mental illness due to high
rates of morbidity and mortality (Bar et al., 2016; Conviser et al., 2018; Fewell et al., 2018).
The lifetime prevalence rate of eating disorders among athletes has shown to be as high as
three times the lifetime rate of eating disorders among non-athletes (Fewell et al., 2018).
There are several beliefs regarding why the prevalence rate is much higher in the athletic
population. Researchers have indicated multiple risk factors play a role in athletes developing
eating disorders (Coelho, 2014; De Bruin & Oudejans, 2018; Frogley et al., 2018). These risk
factors include: (a) personality characteristics, (b) an emphasis on body type in relation to
success within the sport, (c) competing in sports that involve weight cutting, (d) the level of
exposure of an athlete’s body while participating in the sport, and (e) the level of appearance
pressure in relation to their sport (Bar et al., 2016; Conviser et al., 2018; Fewell et al., 2018;
Frogley et al., 2018; Langmesser & Verscheure, 2019).
Coaches often do not understand the nuances of eating disorder behaviors,
which leads to the need for a clinician to intervene (Dao Le, 2017). Sport
psychologists can assist in detecting eating concerns early and can utilize clinical
experience to assist in prevention and intervention (Papathomas & Capicotto, 2017).
The combination of several risk factors and high rate of athletes diagnosed with
eating disorders is causing a need for effective sport psychology prevention
interventions. This project aimed to identify the most effective sport psychology
eating disorder prevention interventions through utilizing a systematic review of the
literature.
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General Statement
The prevalence of eating disorders among athletes is a serious concern within the
field of sports psychology and among researchers studying athletes (Bar et al., 2016; Roy et
al., 2019). Both male and female athletes may struggle with eating disorders; however,
previous studies indicated female elite athletes are twice as likely to develop eating disorders
when compared to male elite athletes (Koman, 2018; Fewell et al., 2018; National Eating
Disorder Association, 2018). The prevalence of eating disorders is higher in elite athletes
when compared to the general population, with an estimated prevalence rate of 25.5% among
collegiate athletes (Dao Le at al., 2017; Frogley et al., 2018; Papathomas & Capicotto, 2017).
It is important to note that the prevalence rate is higher in elite athletes (collegiate or
professional) athletes when compared to non-elite athletes and the general population
(Papathomas & Capicotto, 2017). Previous studies revealed no difference in prevalence for
youth, high school, and recreational athletes when compared to non-athletes (Bar et al., 2016;
Frogley et al, 2018).
Elite female athletes have been identified as the most at-risk for developing eating
disorders for several reasons, such as: (a) the pressure to perform well, (b) a tendency for
perfection, (c) an overemphasis on body type in relation to sport success, and (d) a sport
culture that normalizes unhealthy eating behaviors (Dao et al., 2017; De Bruin & Oudejans,
2017; Fewell et al., 2017). Another risk factor that may lead to female elite athletes having
the highest risk for eating disorders is the athlete’s sport. Sports that focus on the individual
rather than the entire team have shown to have higher rates of athletes with eating disorders
when compared to team sports (Frogley et al., 2018; Koman, 2018; Papathomas & Capicotto,
2017; Roy et al., 2019). This project explored sport psychology eating disorder prevention
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interventions for elite female individual-sport athletes. This project aimed to develop best-
practice prevention intervention protocols based on the findings to assist in preventing eating
disorders within the highest needs population.
The combination of high prevalence rates and high-risk factors for female elite
athletes have caused a need for sport psychologists to develop appropriate preventative
interventions (Fewell et al., 2017; Sudano & Miles, 2017). Researchers have conducted
studies to assess for effective prevention strategies; however, there is a gap in knowledge
regarding which interventions are considered best practice recommendations for sport
psychologists (Bar et al., 2016; Fewell et al., 2017; Papathomas & Capicotto, 2017). This
project attempted to fill this gap in knowledge and aimed to identify sport psychology best-
practice recommendations for preventing eating disorders within the highest-risk athletic
population of elite female individual-sport athletes. Findings from this project may assist
sport psychologists in developing a better understanding of prevention interventions and may
lead to fewer eating disorder diagnoses within a high-risk athletic population.
Justification Statement
This project focused on the general problem of the high prevalence rate of eating
disorders among athletes resulting in diminished performance, lowered quality of life, poorer
health, and a higher risk for mortality (Bar et al., 2016; Borgen-Sundgot & Klungland, 2004).
The specific problem addressed in this project was the lack of sport psychology best practice
recommendations for preventing eating disorders within the athletic population (Borgen-
Sundgot, 2004; Galmiche et al., 2019; Sudano & Miles, 2017). Researchers have focused on
the treatment of eating disorders in sport. Specific evidenced-based therapeutic modalities
such as: Cognitive Behavioral Therapy (CBT), Acceptance and Commitment Therapy
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(ACT), and Dialectic Behavioral Therapy (DBT) have shown to be highly effective for
treating athletes struggling with eating disorders (Ziegler, n.d.; Beals, 2004).
Researchers have identified effective treatment practices, but ongoing debates
continue regarding ways to prevent athletes from developing eating disorders (Bratland-
Sanda & Borgen-Sundgot, 2013). Some researchers focus on eating disorder prevention
within the general population, but there is little research on eating disorder prevention within
athletics (Joy et al., 2016). This project focused on examining effective eating disorder
prevention protocols and may be beneficial to the field by identifying best-practices for
preventing eating disorders in sport to combat the high rates of athletes diagnosed with eating
disorders. This project addressed the lack of sport psychology best practice prevention
interventions by identifying recommendations within the highest risk athletic population.
Purpose of the Project
The purpose of this systematic literature review was to explore what sport psychology
preventative interventions are effective for eating disorders within elite female individual-
sport athletes, and to create best-practice recommendations for preventing eating disorders
within this population. A systematic literature review method combines the findings of both
qualitative and quantitative studies to address the research question (Harden, 2010). This
project addressed the problem of sport psychologists lacking best-practice protocols for
eating disorder prevention and resulted in best-practice recommendations for eating disorder
prevention. Protocols derived from this project could assist sport psychologists, coaches, and
athletes in combating the risk factors associated with athletes developing eating disorders and
possibly lower the overall rates of athletes diagnosed. Eating disorders can create a
disturbance in an athlete’s peak performance (Fewell et al., 2017; Roy et al., 2019). This
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project may assist in preventing athletes from deterring from their peak performance due to
their eating disorders. It also may help in combating the number of death incidents related to
eating disorders by using preventative protocols obtained in this project.
Importance of the Project
Eating disorders in sport is a critical topic necessary to research in the sport
psychology field, as these disorders are considered the deadliest psychological illness due to
a 10% mortality rate without appropriate and effective treatment (Bar et al., 2016; Dao et al.,
2017; Insel, 2012; Papathomas & Capicotto, 2017). The high prevalence rate of athletes
struggling with eating disorders indicates a need for more sport psychologists to develop
treatment and prevention interventions (Sudano & Miles, 2017; Bar et al., 2016; Hildebrandt,
2005; Beals, 2004). However, the sport psychology field lacks best-practice
recommendations for preventing eating disorders within the athletic population (Curie,
2010). Exploring what sport psychology preventative interventions have been effective for
athletes in the past may assist in addressing the lack of best-practice recommendations. The
results of developing best-practice prevention protocols could lead to fewer athletes needing
eating disorder treatment.
Researchers have assessed for sport psychology best-practices for eating disorder
treatment, but there is a gap in the literature regarding the prevention of eating disorders in
the sport setting (Conviser et al., 2018). Other studies have identified best practices for
coaches and parents regarding eating disorder prevention, but this research does not reflect
best practices for sport psychologists (Sherman & Thompson, 2001; Bar et al., 2016; Curie,
2010). Researchers have assessed overall best-practices for eating disorder prevention, but
the research lacks focus within the athletic setting (Doa et al., 2018; Shaw et al., 2009; Stice
15
et al., 2008). This project offered a unique approach to preventing eating disorders within the
sport setting by focusing specifically on effective prevention protocols for sport
psychologists. The results of this project may contribute to the sport psychology field by
allowing more sport psychologists to obtain knowledge on best-practice for eating disorder
prevention. The implications from the project’s findings could change the way sport
psychologists approach eating disorder prevention within the athletic setting, particularly
among elite female individual-sport athletes. More sport psychologists utilizing best-
practices for preventing eating disorders may lower the number of athletes diagnosed with
eating disorders.
Conceptual Framework
Three unique concepts formed the framework for this project: (a) a rise in female
sport participation, (b) general risk factors for eating disorders, and (c) the concept of
prevention science. The context of the increase in female sport participation highlights the
need to address the rising prevalence rate of eating disorders within the elite female
individual-sport athletes. Risk factor associated with eating disorders play a central part in
prevention development and may assist sport psychologists in selecting appropriate
prevention interventions (De Bruin & Oudejans, 2018; Offord & Kraemer, 2000). The
framework of prevention science provides a knowledge base for understanding preventative
intervention described in this project.
Eating disorders in elite athletes are a concern to sport psychologists. Female athletes
at the elite level experience eating issues at higher rates than non-athletes (Bar et al., 2016;
De Bruin & Oudejans, 2018; Papathomas & Capicotto, 2017). Female athletes competing in
sports that focus on the individual (e.g., gymnastics, running, figure skating, dance, or
16
diving) at the elite level and involved in aesthetic, weight class, and gravitational sports are at
the highest risk for developing an eating disorder and are, therefore, identified as “high risk”
(Borgen-Sundgot & Torstveit, 2010; Constantz & Mason, 2010; De Bruin & Oudejans, 2018;
Haase, 2009; Krentz & Warschburger, 2011; National Eating Disorder Association, 2018).
Diagnosing eating disorders in elite female athletes is a challenge. Over half of elite athletes
engage in eating disorder behaviors, which makes the behavior seem acceptable and adaptive
to winning within the sport setting (Bar et al., 2016; De Bruin & Oudejans, 2018).
Encountering an elite athlete struggling with eating issues is highly likely in a sport
psychologist’s career, and it is almost a certainty when working with female athletes
participating in lean and aesthetic sports (Frogley et al., 2018; Papathomas & Capicotto,
2017). A sport psychologist plays a critical role in the coaching staff, as a clinical
background assists in noticing nuanced potential eating disorder behaviors amongst the
athletes (Bar et al., 2016; De Bruin & Oudejans, 2018; Frogley et al., 2018). Given the
limited efficacy of many eating disorder treatment programs, as well as the high relapse rates
following treatment, there is a need for prioritizing prevention in high-risk populations (Bar
et al., 2016; Beals, 2004; Bratland-Sanda & Borgen-Sundgot, 2013; Papathomas &
Capicotto, 2017). This project explored prevention interventions that sport psychologists can
utilize to assist in combating the high prevalence rate of eating disorders within elite female
individual-sport athletes.
Rise in Female Sport Participation
Female participation in sports has increased remarkably since the institution of Title
IX in 1972. Title IX protects people from discrimination based on sex in education programs
or activities that accept federal financial assistance (National Collegiate Athletic Association,
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2018). Title IX has resulted in increased female athlete sport participation opportunities at the
collegiate level by 545% (Women’s Sport Foundation, 2018). Since Title IX’s passage in
1972, the number of females competing in high school sports jumped from 295,000 to nearly
3.2 million (Women’s Sport Foundation, 2018). Female collegiate sport participation went
from fewer than 30,000 to over 193,000 since 1972 (National Collegiate Athletic
Association, 2018). Current studies indicate 2.8% of female collegiate athletes get drafted
into professional sports, which is an increase since 1972 (Women’s Sport Foundation, 2018).
As the rate of female collegiate sports participation continues to grow, researchers have
noticed the impact sports play in a female collegiate athlete’s life (National Eating Disorder
Association, 2018).
Studies have supported that athletes, particularly within the female elite athlete
population, are at an increased risk of developing an eating disorder. Prevalence studies
indicating a 12-month prevalence rate of 31% among elite female athletes, a rate of 6%
among amateur female athletes, and a rate of 0.4% among females that do not participate in
sports (American Psychological Association, 2013; Galmiche et al., 2019; National Eating
Disorder Association, 2018; Rice et al., 2016). The prevalence of eating disorders in elite
female individual-sport athletes has likely risen with the increased influx of female collegiate
athletes (De Bruin & Oudejans, 2018; National Eating Disorder Association, 2018). This
project focused on athletes who are at a high risk of developing an eating disorder, including
elite female individual-sport athletes.
General Risk Factors for Eating Disorders
Eating disorders are complex and affect a variety of individuals. The most common
eating disorders (Anorexia Nervosa, Bulimia Nervosa, and Binge Eating Disorder) affect up
18
to 30 million people in the United States during a given year (Eating Recovery Center, 2020).
These disorders have the highest mortality rate of any mental illness with one person dying in
the United States every 62 minutes as a direct result from an eating disorder (National Eating
Disorder Association, 2018). The recent expansion of eating disorder diagnostic criteria in
the Diagnostic and Statistical Manual-5 allows more individuals to receive treatment
covered by their insurance companies (American Psychological Association, 2013). The
exact cause of eating disorders is unknown, and as with other mental illnesses there may be
many causes (National Eating Disorder Association, 2018).
The idiopathic nature of eating disorders has led researchers to focus on identifying
risk factors to better understand correlates associated with eating disorder diagnoses (Eating
Recovery Center, 2020). Researchers have identified broad risk factors associated with
developing eating disorders, including biological, psychological, and sociocultural factors
(De Bruin & Oudejans, 2018; Haase, 2009; National Eating Disorder Association, 2018).
Biological factors include age, genetic predisposition, and sex (Haase, 2019). Psychological
factors include body image dissatisfaction, mental illness, a history of trauma, poor self-
esteem, and specific personality traits (Papathomas & Capicotto, 2017). Sociocultural factors
include experiencing weight stigma, limited support networks, appearance ideal
internalization, and participation in activities that encourage thinness (National Eating
Disorder Association, 2018). These risk factors are associated with eating disorders in
general. However, there are also risk factors specific to athletes that increase an athlete’s risk
of developing an eating disorder (Bruin et al., 2018; Coelho et al., 2014). Researchers have
supported the belief that athletes experience a higher rate of eating disorders than the general
population due to additional risk factors (De Bruin & Oudejans, 2018; Frogley et al., 2018).
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Addressing athlete risk factors that contribute to eating disorders may help sport
psychologists select appropriate prevention interventions (De Bruin & Oudejans, 2018).
These specific athlete risk factors will be explored further in Chapter II.
The Concept of Prevention Science
The framework of prevention science is relevant to understand the concept of
prevention intervention and how it relates to this project. Prevention science is a research
framework that focuses on how to prevent and/or moderate negative medical, social, and
emotional impacts before they occur (Brady et al., 2020). Prevention science research is
focused primarily on the systematic study of potential risk factors and protective factors of
dysfunction or health (Koepsell et al., 2011). Prevention interventions aim to counteract risk
factors and reinforce protective factors to disrupt processes that contribute to human
dysfunction (Brady et al., 2020). This project was developed in part based on prevention
science theory, which focuses on a preventative approach that aims to address risk factors to
combat the high prevalence rate of athletes diagnosed with eating disorders. This project
utilized the strategy of prevention trials targeting primarily those at high risk by focusing on
elite female individual-sport athletes. Chapter II will further describe how prevention science
relates to the development and implementation of this project.
Overview of the Project Approach
The purpose of this systematic literature review was to explore what sport psychology
preventative interventions are effective for eating disorders among elite female individual-
sport athletes, and to create best-practice recommendations for preventing eating disorders
within this population. The review included articles that focused on sport psychology eating
disorder prevention within the athletic setting. The subject of this literary review was
20
interventions implemented by sport psychologists to aid in lowering the number of athletes
diagnosed with eating disorders. The project examined and specified why specific
interventions obtained better results than others to recommend the best sport psychology
practices for implementing a prevention protocol with athletes. The search was expanded to
include preventative interventions implemented by coaches and training staff, as their
practices are beneficial for sport psychologists to recommend to coaching staff who have
concerns about rates of eating disorders on their teams.
This systematic review used PRISMA protocols to ensure the review was exhaustive
and comprehensive. The protocol included: (a) identifying a research question, (b) defining
inclusion and exclusion criteria, (c) searching for empirical studies, (d) selecting studies
based on criteria, (e) extracting raw data in the studies, (f) evaluating the risk of bias for the
studies selected, (g) presenting results from the studies selected, and (h) assessing the quality
of evidence from each empirical study (Choi et al., 2019). The research method chosen for
this project was a systematic literature review. The purpose of the review was to provide a
thorough, rigorous review of current research that was systematically synthesized and
analyzed to answer the research questions. Identified inclusive and exclusive criteria assisted
in determining articles used for this project. This systematic approach not only analyzed,
collected, and interpreted findings from several studies, but it also developed an overarching
interpretation of the findings (Lachal et al., 2017). The goal of this project was to lead to new
understandings and recommendations for sports psychologists and those who specialize in
eating disorders.
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Project Questions
This project will address the following overarching questions:
1. Which eating disorder prevention interventions are effective for sport psychologists
working with the athletic population?
2. Why are these interventions effective?
3. What are best-practice recommendations for sport psychologists to prevent eating
disorders within the athletic population, particularly with respect to the elite female
individual-sport population?
Definition of Terms
The following terms are defined to give context to better understand the way in which
these terms are used throughout the project.
Anorexia nervosa (AN): Characterized by persistent caloric intake restriction, fear of
gaining weight/becoming fat, persistent behavior impeding weight gain, and a disturbance in
perceived weight or shape (Thompson, 2014).
Avoidant/restrictive food intake disorder (ARFID): Characterized by a significant
eating disturbance as manifested by persistent failure to meet appropriate nutritional and/or
energy needs. This disorder differs from anorexia by not including a preoccupation with fears
of weight gain and it does not include any distress about body shape or size (National Eating
Disorder Association, 2018).
Binge-eating disorder: Recurrent episodes of binge eating without compensatory
behaviors but with marked distress with the binge eating (Thompson, 2014).
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Body Dysmorphia: Preoccupation with one or more perceived defects in appearance
that are not observable or appear slight to others (American Psychological Association,
2013).
Bulimia nervosa: Recurrent binge eating, recurrent inappropriate compensatory
behaviors to prevent weight gain (for example, induced vomiting and excessive exercise),
and self-evaluation unduly influenced by shape and weight (Thompson, 2014).
Compulsive Exercise: A craving for physical training, resulting in uncontrollable
excessive exercise behavior with harmful consequences (Lichtenstein, 2018).
Co-Occurring Disorder: Referring to the condition in which an individual has an
existing mental illness in combination with another mental illness (National Eating Disorder
Association, 2018).
Diabulimia: Referring to an eating disorder in a person with diabetes who
intentionally restricts insulin as an attempt to lose weight (National Eating Disorder
Association, 2018).
Eating Disorders: A persistent disturbance of eating related behaviors that result in
the altered consumption or absorption of food that impairs health or psychosocial functioning
as outlined by the 5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5; American Psychiatric Association, 2013). This project includes the following
categories of eating disorders: Anorexia Nervosa, Bulimia Nervosa, Avoidant/Restrictive
Food Intake Disorder, Binge-Eating Disorder, and Other Specified Eating Disorder.
Elite Athlete: For this project, the term “elite athlete” references the competition level
of an athlete. Elite athletes represent athletes competing at the highest level of competition.
23
These athletes compete at the national, international, collegiate, and/or professional level
(Swann et al., 2015).
High-risk athletes: Athletes with a high incident rate of eating disorders (Koman,
2018).
Individual Sport: A sport in which participants compete as individuals. Individual
sports emphasize personal mastery and self-discipline, as success and/ or failure in sport falls
on the individual athlete. Examples include tennis, track, swimming, dive, gymnastics,
wrestling, powerlifting, figure skating, body building, golf, etc. (Constantz & Mason, 2010).
Orthorexia: Referring to an eating disorder involving an unhealthy obsession with
healthy eating (National Eating Disorder Association, 2018).
Other Specified Eating Disorder: This disorder encompasses individuals who do not
meet strict criteria for anorexia or bulimia but still have significant eating disorder behaviors.
This disorder can also be described as an atypical and/or subclinical anorexia and/or bulimia
(National Eating Disorder Association, 2018).
Prevention intervention: A systematic process that promotes healthy environments
and behaviors and reduces the likelihood of an eating disorder diagnosis (Bar et al., 2016).
There are different classifications for prevention interventions based on when they occur in
relation to the development of the eating disorder. The classifications include primary,
secondary, and tertiary (Mrazek et al., 1994). There are also different types of prevention
interventions based on the targeted population receiving the intervention. Interventions
targeting an entire population are considered universal and interventions targeting one or
more subgroups in a population determined high-risk are considered specific (Dao Le et al.,
2017).
24
Risk-factors: Characteristics at the biological, psychological, family, community, or
cultural level that precede and are associated with a higher likelihood developing a disorder
(De Bruin & Oudejans, 2018).
Team Sport: A sport in which participants compete as a team and sport success and/or
failure depends on teammates, rather than an individual. Team sports emphasize the virtue of
working together and team cohesion. Examples include basketball, volleyball, rugby, water
polo, handball, lacrosse, football, hockey, baseball, etc. (Constantz & Mason, 2010).
Assumptions, Limitations, and Delimitations
All studies include specific limitations, assumptions, and delimitations (Simon,
2011). Some of these variables are within the researcher’s control and others are outside the
researcher’s control. These variables can affect inferences drawn from a study. This project
included specific limitations, assumptions, and delimitations that play a part in influencing
the findings.
Assumptions
Assumptions are influences outside the researcher’s control that utilize concepts
accepted as true, or at least plausible (Simon, 2011). One assumption of this project was that
there was an adequate amount of literature about prevention interventions for eating disorders
to address the research questions. It was assumed that athletes were responsive to specific
prevention protocols utilized in the review and no other confounds played a part in their
response to treatment. Another assumption was that all athletes, coaches, and sport
psychologists were capable of engaging in prevention interventions.
25
Limitations
A limitation is a restriction in a study a researcher cannot control (Simon, 2011). A
limitation of this project is researcher bias. Researcher bias may influence this project in the
determination of eligibility and ineligibility of studies included in the review, as the
researcher determines if literature meets the criteria. The project’s conclusions were based on
the interpretations of findings from the researcher’s perspective. One way to combat
researcher bias is through the process of bracketing. Bracketing is a method used in research
to alleviate researcher bias through the process of setting aside personal experiences, bias,
preconceived notions, and previous knowledge on the research topic (Tufford & Newman,
2010). Bracketing was used in this project to mitigate the potentially deleterious effects of
researcher bias through practicing reflexivity and epoche. Any researcher biases that may
have influenced the results of the project were noted during data analysis.
The data collection in this project was limited to the researcher’s database access.
Another limitation of this project was the constraints of its generalizability. This project
focused on eating disorder prevention within the athletic setting. Therefore, the findings of
this project may not translate to populations outside of athletes. Efforts were made to
overcome the limitation of limited database access through utilizing Google Scholar and
interlibrary loan services to obtain articles not available through the University of Arizona
Global Campus Library databases.
Delimitations
Delimitations in research reflect the scope of the study, as well as its boundaries
(Simon, 2011). A delimitation of this project included the focus on female athletes. Results
from this project reflected data from female athletes and may not be applicable for male
26
athletes. The scope of this project included prevention interventions implemented in the
United States and utilized studies focusing on eating disorder preventions within the athletic
population. Therefore, studies focusing on prevention strategies within the general population
as well as studies outside of the United States were not included in this project. The findings
of this project may generalize to other athlete populations in the United States, but the
applicability to the general population and areas outside the United States may be reduced.
Summary
This chapter described how eating disorders are a substantial concern among elite
female individual-sport athletes as a result of the prevalence rate and health consequences
related to these conditions (Bar et al., 2016; Galmiche et al., 2019; Greenleaf et al., 2009). It
is important that sport psychologists, who have responsibility for the physical and mental
health and safety of elite athletes, are well educated on best practices for eating disorder
prevention (Bar et al., 2016; Papathomas & Capicotto, 2017). However, the sport psychology
field lacks best practices for prevention interventions related to eating disorders. This project
aimed to fill the gap of knowledge by identifying sport psychology best practice
recommendations for preventing eating disorders within the highest risk athletic population
of elite female individual-sport athletes
using a systematic literature review.
The results may change the way sport psychologists approach eating disorder
prevention within the athletic setting, which may lower the number of athletes diagnosed
with eating disorders. Chapter II includes a description of search strategies utilized, a
Literature Review of studies relevant to the research questions of this project and a summary
of this project’s potential contribution to the literature.
27
CHAPTER II: REVIEW OF THE LITERATURE
This chapter includes a review of the existing academic literature that provides a
foundation for the relevance of this project’s proposed topic. The purpose of this project was
to explore what sport psychology preventative interventions are effective for eating disorders
within the elite female individual-sport athletic population and to create sport psychology
best-practice recommendations for preventing eating disorders among this population. This
chapter presents an exploration of the elite female individual-sport athletic population, the
relevance of sport psychology best-practices for eating disorder prevention, and the
applicability of prevention sciences to eating disorder prevention among elite female
individual-sport athletes. Historic, seminal, and modern literature will provide a background
of the concepts and issues relevant to understanding the project.
This chapter includes a discussion on the relevance of sport psychologists addressing
eating disorder risk factors and highlights the importance of eating disorder prevention within
the elite female individual-sport athlete population. This chapter’s literature review provides
an academic foundation for the project approach as well. The following review introduced
available research on eating disorders among the female athletic population in general and
within the elite female individual-sport athletic population, risk factors associated with eating
disorders, and research on preventative sciences and how this applies to the sport psychology
field.
Search Strategy
The search strategy for this project began after creating a literature review component
outline, which aided in the development of keywords used in search databases. Keywords
included but were not limited to: eating disorders, eating disorders among athletes,
28
prevention of eating disorders, prevention of eating disorders among athletes, prevalence of
eating disorders in athletes, sport psychology and eating disorders, sport psychology eating
disorder prevention, sport psychology prevention for highest risk athletes, risk factors
related to eating disorders, athletes at the highest risk for eating disorders, and prevention
science and eating disorders. To collect relevant scholarly and professional literature for the
review, searches were conducted in several search engines and databases using keywords
identified. Several different online databases were accessed through the University of
Arizona Global Campus library, including: ProQuest, ERIC, EBSCOHOST, and SAGE
databases. Some literature was retrieved via inter-library loans. The Taylor & Francis Online
professional database held by the Association for Applied Sport Psychology (AASP) was
searched for professional literature. The American Psychological Association and the
National Eating Disorder Association professional association database sources were also
utilized. Finally, Google Scholar and general internet searches were completed as well.
Sources of information included peer-reviewed journal articles, professional literature, books,
grey literature, theses, dissertations, and conference papers.
Most of the literature reviewed in this chapter were scholarly, peer-reviewed sources;
however, a few were from professional literature in the Association for Applied Sport
Psychology journal archives written by experts in the field. The professional literature was
reviewed and approved by the Association for Applied Sport Psychology. In each case, the
reason for including professional sources was to provide the most current information on the
topic discussed in areas where the scholarly literature was deficient. This project made efforts
to identify works published in the past five to ten years, except for important seminal and
29
historical works. The reason for limiting the search to literature from the stated timeframe
was to describe current perspectives in the field and to highlight recent related research.
To collect scholarly literature for the review, searches were conducted in several
search engines and databases to obtain different types of literature. Table 1 provides an
overview of the dates and types of literature obtained during the review.
Table 1.
Summary of Sources
This table provides an overview of the dates and types of literature obtained during the
search process.
Year of Publication < 2016 2016 - 2021 No Date (N.D.)
# % # % # %
Peer Reviewed Journals 39 30.2% 35 27.3% 0 0%
Other Journals or Periodicals
10 7.6% 16 12.4% 3 2.4%
Reports / Government Sources
5 3.8% 7 5.4% 4 3.2%
Scholarly Books
7
5.4%
3
2.3%
0
0%
TOTAL
61
47.0%
61
47.4%
7
5.6%
Eating Disorders
Eating behaviors are a necessary component of human life, but when placed within
psychological and social contexts, they can become very complex and detrimental to one’s
health and well-being (Hesse-Biber et al., 2006). Abnormal eating behaviors are classified on
a continuum which range from disordered eating behaviors to diagnosable eating disorders.
All aspects of the abnormal eating behaviors scale can have substantially negative health
30
consequences, which can be seen by the fact that eating disorders have the highest mortality
rate of any mental illness (American Psychiatric Association, 2013). Historical evidence
reveals eating disorders are not a new diagnostic phenomenon (Muhlheim, 2020).
Historical Examples of Eating Disorders
The earliest historical descriptions of people experiencing symptoms consistent with
modern-day eating disorders date back to Hellenistic (323 B.C.-31 B.C.) and medieval times
(5th-15th century A.D.) (Muhlheim, 2020). Purification through the denial of physical needs
and the material world was a cultural theme during these time periods. There were reports of
upper-class Roman females starving themselves to death in quest of holiness in the
Hellenistic period, and there were also reports of extreme self-induced fasting that often led
to premature death by starvation during the medieval times (Lyons, 2018). The motivation
for fasting in the Hellenistic and medieval times appears to be different than the current
motivation of a drive for thinness that leads today’s discussions of eating disorders
(Muhlheim, 2020). The practice of starvation and fasting during this time period was
described as “holy anorexia” and differed from anorexia nervosa. Holy anorexia related to a
mix of spiritual and material beliefs.
Reports of bulimia date back to the time of Caesar (700 B.C.), when rich ancient
Romans overindulged at lavish banquets and then relieved themselves by vomiting to allow
themselves to return to the feast and continue eating (Davis & Nguyen, 2014). Examples of
bulimia are also noted in the general Roman population, as citizens reportedly induced
vomiting to purge their system and eat more during meals. Reports described purging as a
medical practice that physicians in Egypt, Greece, Rome, and Arabia would prescribe to
prevent diseases believed to come from food during medieval times (Muhlheim, 2020). The
31
motivation for purging during the Hellenistic and medieval times appears to be different than
the current motivation of an attempt to prevent weight gain that leads today’s discussions of
eating disorders (Davis & Nguyen, 2014). The first case of purging bearing a resemblance to
modern bulimia nervosa is a case described by Pierre Janet in 1903, in which a female patient
displayed dietary restriction, fear of fatness, efforts to purge for weight loss purposes, and
episodes of binge eating (Muhlheim, 2020). In 1960, two psychiatrists from the United States
published several case histories that provided examples of modern bulimia nervosa, and in
1970 British psychiatrist Gerald Russell published a case series of 30 patients who reported
self-induced vomiting to mitigate the effects of overeating (Davis & Nguyen, 2014). As more
reports were published on anorexia and bulimia nervosa, it led to identifying a need for
creating diagnostic criteria for the disorders.
Public eating disorder awareness was nearly nonexistent in the United States until the
1980s. Karen Carpenter was one of the first reported celebrity casualties of an eating disorder
(Latson, 2016). She died at the age of thirty-two in 1983 due to heart failure related to her
struggle with anorexia. Carpenter’s death raised awareness of the dangers of eating disorders,
which until then had been poorly publicized or understood (“Let’s get real,” 2018).
Carpenter’s death encouraged other celebrities to speak out about their personal struggles
with eating disorders, which led to further public awareness. After exposing the need for
eating disorder treatment in the 1980s, college counseling centers began expanding their
counseling services due to more individuals seeking treatment (Latson, 2016). Counseling
centers received funding to treat these individuals, so clinicians began utilizing treatments
such as refeeding protocols and talk therapy to help patients recover (National Eating
Disorder Association, 2018).
32
Diagnostic History of Eating Disorders
Anorexia nervosa was the first eating disorder included in the first edition of the
Diagnostic and Statistical Manual of Mental Disorders (DSM-I). The disorder was
categorized as a psychophysiological gastrointestinal reaction based on emotional factors that
were believed to play a causal role (Deans, 2011). The DSM’s second edition was published
in 1968 and anorexia was recategorized as a Feeding Disturbance (American Psychiatric
Association, 2013). The DSM-III was released in 1980 and eating disorders debuted as its
own diagnostic category under the rubric of disorders of infancy, childhood, or adolescence
(Deans, 2011). This version of the DSM began to expand on the types of eating disorders as
diagnoses such as anorexia nervosa, pica, rumination disorder, the concept of bulimia, and
atypical eating disorders were all included in this version (American Psychiatric Association,
2013).
With the publication of the DSM-IV in 1994, bulimia nervosa appeared in its current
form, with the required feature of shape and weight concerns associated with the condition,
and binge eating disorder was also mentioned for the first time (Muhlheim, 2020). The DSM-
5 in 2013 created a new umbrella category for both eating disorders and Feeding and Eating
Disorders of Infancy or Early Childhood, as they both were included under the category of
Feeding and Eating Disorders (Deans, 2011). This version of the DSM also included newer
diagnoses such as Avoidance Restrictive Food Intake Disorder (ARFID), Binge Eating
Disorder (BED), and Other Specified Feeding or Eating Disorder (OSFED) (American
Psychiatric Association, 2013; Deans, 2011; Muhlheim, 2020). The development and
evolution of eating disorder diagnoses has led to more research on the topic. Researchers
33
have assessed for common behavioral and psychological characteristics between the different
diagnoses.
Common Medical Complications of Eating Disorders
Eating disorders are complex and potentially devastating conditions that can have
serious consequences for health, productivity, and relationships. They can affect every cell,
tissue, and organ in the body (Cost et al., 2020; Milano, 2020). If not stopped, starving,
stuffing, and purging can lead to irreversible damage and even death (National Eating
Disorder Association, 2018). Addressing both the medical and psychological concerns
related to eating disorders is a critical aspect to eating disorder recovery. The medical
dangers associated with anorexia nervosa, bulimia nervosa, ARFID, BED, and OSFED may
differ depending on the individual and severity of the disorder.
Anorexia nervosa is considered the highest medical risk mental health disorder with a
mortality rate of 10% (Insel, 2012; National Eating Disorder Association, 2018). It is
considered a life-threatening disorder due to the affects starvation has on the body and brain
(Mehler, 2014). Many women and men with this disorder die from starvation, metabolic
collapse, cardiac arrest, refeeding syndrome, and suicide (Insel, 2012; Mehler, 2014).
Individuals with anorexia nervosa, binge-purge subtype are at highest risk medically, as they
face serious metabolic challenges that occur from electrolyte imbalances associated with
starvation and purging (Ekern, 2018). It is common for individuals struggling with anorexia
to have medical concerns such as: anemia, fainting, dizziness, compromised immune
functioning (e.g., getting sick often), gastrointestinal issues (e.g., abdominal pain,
constipation, and diarrhea), dysregulation of body temperature, disturbance or loss of
menstruation in girls and women, increased risk of infertility for both men and women,
34
kidney failure, osteoporosis, cardiac issues, and sudden death (Insel, 2012; Mehler, 2014;
National Eating Disorder Association, 2018).
Medical complications associated with bulimia nervosa can take a considerable toll
on the body. It is common for an individual struggling with bulimia nervosa to have medical
issues, as the disorder has detrimental effect on soft tissues, electrolyte levels, and overall
functioning (Mehler, 2014). The health ramifications include: impacting an individual’s skin
color and texture, hemorrhaging of the eyes and ears, dental decay, damage to the throat,
erosion of the esophagus, dysregulation in electrolytes and metabolic stability, cardiac
instability, reproductive issues, aspiration, and respiratory distress (Mehler & Rylander,
2015). These complications may lead to death, if not taken seriously, as the disorder has a
mortality rate of 3.9% (National Eating Disorder Association, 2018).
ARFID is considered a serious eating disorder and has health risks similar to anorexia
nervosa. Both anorexia and ARFID are characterized by an inability to meet nutritional
needs; therefore, they have similar health consequences (National Eating Disorder
Association, 2018). There are several serious medical risks associated with ARFID. The risks
include anemia, malnutrition, reduction in bone density, growth failure, electrolyte
imbalances, gastrointestinal issues, menstrual irregularities, reproductive complications,
abnormal metabolic findings, dizziness, fainting, dry skin, fine hair on the body, feeling cold
all the time, thinning of hair on the head, muscle weakness, cold and mottled hands and feet,
swelling of the feet, poor wound healing, and impaired immune functioning (Mehler &
Rylander, 2015: Zimmerman & Fisher, 2017). Researchers suggest individuals diagnosed
with ARFID are more likely than those with other eating disorders to have longer hospital
stays, rely more on tube feeding for nutrition, and struggle more with gaining weight during
35
their hospitalization (Mehler, 2014). The cardiac, nutritional, and metabolic disturbances
associated with ARFID can cause unexpected death; therefore, this disorder must be taken
seriously (Caporuscio, 2019).
BED is the most common eating disorder in the United States, it has an overall
prevalence rate of 11% within the female population and 7.5% within the male population
(Center for Discovery, n.d.; Ekern, 2016; National Eating Disorder Association, 2018). The
death risk of those with BED is not as imminent as those with other eating disorders. The
death risk associated with BED is prolonged and normally associated with weight gain and
obesity related complications (Ekern, 2016). One in five deaths in the United States is
associated with obesity (Ekern, 2016; Masters et al., 2016). Therefore, it is important to
assess the medical complications of weight gain associated with this disorder. The disorder
may lead to Type II diabetes, high blood pressure, high blood cholesterol, gallbladder
disease, heart disease, certain cancers, joint pain, gastrointestinal issues, sleep apnea,
polycystic ovary syndrome, and fertility issues (Masters et al., 2016; National Eating
Disorder Association, 2018; Ross, 2012). Medical complications associated with BED may
not immediately follow the binge-eating behavior, but they are no less serious.
OSFED is an eating disorder classification for those who do not meet diagnostic
criteria for any other eating disorder. Individuals diagnosed with OSFED may present with
disturbed eating habits, a distorted body image, fear of gaining weight, and overvaluation of
body shape and weight (Todisco, 2018). The health risks associated with OSFED are
numerous and varied, as this disorder involves any number of maladaptive eating or
exercising behaviors (Eating Recovery Center, n.d.). Individuals with specific subtypes of
OSFED are at a higher health risk, including those with orthorexia, body dysmorphia,
36
exercise compulsion, and diabulimia (Center for Discovery, n.d.; Todisco, 2018). Some of
the health risks include organ failure, osteoporosis, muscle weakness and loss, fatigue,
electrolyte and metabolic imbalances, tooth decay, gastrointestinal issues, high blood
pressure, high cholesterol, heart disease, and Type II diabetes (Mehler & Rylander, 2015;
National Eating Disorder Association, 2018). A common misconception about OSFED is that
it is not severe, and these individuals do not need treatment (National Eating Disorder
Association, 2018). Delaying treatment of OSFED can result in developing co-occurring
disorders or worsening the severity of the current disorder (Center for Discovery, n.d). The
mortality rate for OSFED is 5.2% and these individuals are at an increased risk for suicide
(Mehler & Rylander, 2015; National Eating Disorder Association, 2018). Though lacking
specific diagnostic criteria, OSFED is a serious disorder, nonetheless.
There are several similar medical complications associated with the following eating
disorders: anorexia nervosa, bulimia nervosa, ARFID, BED, and OSFED. These medical
complications include cardiac concerns, metabolic irregularities, electrolyte imbalances,
gastrointestinal issues, and potential death (Ekern, 2016; Insel, 2012; Mehler & Rylander,
2015; National Eating Disorder Association, 2018). The medical management of these eating
disorders often involve close medical and weight monitoring, electrolyte supplementation,
refeeding protocols, medication management, and metabolic monitoring (American Brain
Society, n.d., National Eating Disorder Association, 2018). All eating disorder treatments
involve creating treatment plans for both psychological and medical symptoms (National
Institute of Mental Health, n.d.). Psychological characteristics of eating disorders are
important to address, as researchers suggest the root cause of eating disorders are from a
37
complex mixture of biological but mostly psychological and sociocultural factors (American
Brain Society, 2019).
Common Behavioral and Psychological Characteristics of Eating Disorders
Eating patterns are influenced by several factors including environmental, biological,
and cultural factors (National Eating Disorder Association, 2018). Eating disorder patterns
can be caused by feelings of distress or concern about body shape, weight, or size. Eating
disorders are described as illnesses in which people experience severe disturbances in their
eating behaviors and related thoughts and emotions (Parekh, 2017). Individuals with eating
disorders are typically preoccupied with food, body image, and their weight. A person with
an eating disorder may have started out by eating smaller amounts of food than usual, but at
some point, the urge to eat less or more can spiral, and the maladaptive patterns of eating can
escalate and become out of control (Muhlheim, 2020). Behavioral and psychological
characteristics of eating disorders can differ depending on the type of eating disorder.
Anorexia nervosa is characterized by a persistent restriction on food intake, an intense
fear of gaining weight or becoming overweight, and a distorted perception of body weight or
shape. An individual struggling with anorexia will have a body weight that is below a
minimally normal level for age, sex, and physical health (American Psychiatric Association,
2013). Maladaptive behaviors such as excessive exercising, fasting, misusing laxatives and
diuretics, and making continual efforts to intake a significantly small number of calories are
all present for an individual struggling with anorexia (National Eating Disorder Association,
2018). Maladaptive psychological characteristics include a tendency for perfectionism, a
need for feeling in control of food intake, high levels or anxiety, and obsessive-compulsive
personality traits (Mayo Clinic, 2018).
38
Bulimia Nervosa is extreme excessive eating behavior (binging) accompanied with
a purging behavior to prevent an increase in weight (American Psychiatric Association,
2013). As with anorexia, there is an abnormal view of one’s body shape and size with
bulimia. For an individual to meet criteria for bulimia one must engage in purging behavior
at least twice a week for three months (National Eating Disorder Association, 2018).
Maladaptive behaviors involve binging, which is the consumption of abnormally large
amounts of food (well beyond what someone would eat in one sitting), and purging, which is
a compensatory behavior that has the purpose of losing weight such as vomiting, laxative
use, or diuretic use (Muhlheim, 2020). Psychological characteristics of bulimia include
anxiety, preoccupation with weight, depressed moods, shame, guilt, and feelings of loss of
control (National Eating Disorder Association, 2018).
ARFID is a newer diagnosis in the DSM-5 that is similar to anorexia in that both
disorders involve limitations in the amount or type of food consumed, but ARFID does not
involve any distress about body shape or size, or fears of fatness (National Eating Disorder
Association, 2018). Most children go through phases of selective eating, but ARFID is
diagnosed if a child is not consuming enough calories to grow and develop properly or if an
adult is not consuming enough to maintain basic body function. Behavioral characteristics of
ARFID include engaging in highly selective eating habits, disturbed feeding patterns
typically related to sensitivity of food textures, colors, and smells, eating at an abnormally
slow pace, and having a general lack of appetite (Walden Behavioral Care, n.d.).
Psychological characteristics of ARFID include general anxiety, a fear of choking, vomiting,
or food poisoning, and a need to be in control of one’s food intake (National Eating Disorder
Association, 2018). It is not uncommon for ARFID to show up in individuals with a history
39
of early traumatic experiences with food, attention-deficit issues, autism, anxiety, and an
intellectual disability (McQuillan, 2020).
BED is characterized by recurrent episodes of eating large quantities of food, a
feeling of loss of control during the binge, experiencing shame and guilt afterwards, and not
regularly using unhealthy compensatory measures to counter the binge eating (National
Eating Disorder Association). Some common behavioral characteristics include individuals
appearing uncomfortable eating around others, engaging in frequent diets, body checking in
the mirror, and a disruption of normal eating behaviors such as eating throughout the day
with no planned mealtimes (American Psychological Association, 2013). Individuals may
isolate themselves during mealtime due to shame associated with the amount of food they
eat. The psychological characteristics of BED include an individual having a fear of eating
food in public, anxiety, feeling a loss of control, isolation, depression, feelings of shame and
guilt, extreme concern with body weight and shape, and feelings of low self-esteem (National
Association of Eating Disorders, 2018).
OSFED is known as a catch-all category that includes a wide range of symptoms. It is
the most common eating disorder diagnosis representing an estimated 32% to 53% of all
people with eating disorders (Machado et al., 2013). This disorder includes disorders that do
not fit the full criteria for any other eating disorders. Some examples of OSFED include
atypical anorexia, binge eating disorder with a low frequency and limited duration, bulimia
with low frequency and limited duration, purging disorder, orthorexia, and night eating
syndrome (Ornstein et al., 2013). Behavioral characteristics of this disorder include refusal to
eat certain foods, comments about feeling fat or overweight, binge eating, purging behaviors,
food rituals, skipping meals, stealing or hoarding food, drinking excessive amounts of non-
40
caloric beverages, using excessive amounts of mouthwash, mints, and gum, hiding body with
baggy clothing, and excessive exercising (National Eating Disorder Association, 2018). The
psychological characteristics of OSFED include low self-esteem, depression, feeling a loss of
control, anxiety, strong need for approval, little motivation to engage in relationships or
activities, irritation, and engaging in extremely self-critical internal thoughts (Ornstein et al.,
2013).
The criteria for specific eating disorders are all different, but there appears to be
several common behavioral and psychological characteristics between each of them. The
disorder OSFED has several common characteristics to all the disorders, as the criteria for
this disorder includes subclinical characteristics of every eating disorder (Ornstein et al.,
2013). The behavioral characteristic of isolating and making attempts to control
compensatory behaviors and/or food intake appears to be common between each of the
disorders (National Association of Eating Disorders, 2018). The disorders Anorexia nervosa,
ARFID and EDNOS all can include the characteristic of making attempts to control one’s
intake (McCallum Place, n.d.). The disorders Bulimia nervosa and BED can include the
characteristic of making attempts to control compensatory behaviors (American
Psychological Association, 2013). The disorder bulimia nervosa involves purging due to fear
of weight gain and BED can involve compensatory behaviors such as compulsive exercise
and the use of laxatives to make up for an excessive number of calories consumed (National
Association of Eating Disorders, 2018).
A common theme exists among psychological characteristics of discomfort when
eating with others, shame and guilt, isolation, and preoccupation with weight and body shape
for all disorders, except for ARFID (as ARFID does not include a preoccupation with weight
41
and body shape) (American Psychological Association, 2013; National Eating Disorder
Association, 2018). Several of the disorders include the psychological characteristic of
anxiety and a feeling of a loss of control (Ornstein et al., 2013). Shame and guilt and low
self-esteem appear to be common psychological characteristics between anorexia nervosa,
bulimia nervosa, BED, and EDNOS (American Psychological Association, 2013). There are
common behavioral and psychological characteristics that may assist in identifying and
diagnosing eating disorders (National Association of Eating Disorders, 2018). Prevalence
rates and high-risk populations are important to discuss to understand the impact eating
disorders have on certain populations.
Prevalence Rates and High-Risk Populations
Researchers have conducted epidemiology studies to identify causes, risk factors,
impacts, and effects eating disorders have on certain populations (Bar et al., 2016; Smink et
al., 2012). The lifetime prevalence rates for adult females indicate up to 3% will suffer from
anorexia nervosa, 1-4% from bulimia nervosa, and 4% from BED (Farrar, 2014). Females
have a higher prevalence rate of eating disorders when compared to males. There is an
estimated prevalence ratio of 4.2:1 females to males diagnosed with anorexia nervosa and
11.4:1 females to males diagnosed with bulimia nervosa (Tetyana, 2012). The disparity rates
between males and females are large, and this is likely due to females having more risk
factors related to socio-cultural pressures to be thin (National Eating Disorder Association,
2018).
Epidemiological studies show eating disorders are not distributed randomly among
the population, as some individuals are more at risk than others. Females constitute the most
vulnerable group due to their high prevalence and incidence rate (Smink et al., 2012).
42
Females experience pressure from the culture to look a certain way and to weigh a certain
amount. Social media has played a part in effecting how women are perceived, which can
add more pressure for females to be thin (Monks et al., 2020). Eating disorders
predominantly occur in industrialized and developed countries, which indicates females
living in Western countries as being at-risk (Coelho et al., 2014). This evidence demonstrates
that sociocultural factors play an important role in the distribution in eating disorders (Hoek,
2002). Sociocultural factors such as Western cultural appearance standards concerning
female body image has shown to be linked to an increased risk of developing an eating
disorder (Izydorczyk & Sitnik-Warchulska, 2018). Some studies indicate female athletes
seem to be more effected by this sociocultural factor when compared to female non-athletes
(Coelho et al., 2014). This may be due to athletes feeling pressure to fit a performance ideal
weight, stressing to meet sport specific body image demands, and feeling the need to
conform to coaching staff’s weight and body size expectations (Thompson, 2014).
Eating Disorders Among Athletes
Athletics have many benefits for individuals, as they help with developing a work
ethic, teach the importance of teamwork, and can build self-esteem. However, not all athletic
stressors are positive. Athletic competition can be a factor contributing to severe
psychological stress, as the pressure to win and an emphasis on body weight and shape can
be a toxic combination for athletes (Thompson et al., 2020). When the pressures of athletic
competition are added to a current cultural emphasis on thinness, the risks increase for
athletes to develop an eating disorder (National Eating Disorder Association, 2018; Sandgren
et al., 2020). Athletes may feel the need to engage in disordered eating behaviors such as
43
restricting, skipping meals, compulsive exercise, and purging to lose weight to hit their
weight goals in hopes to enhance their performance.
There is conflicting research indicating whether female athletes are more at risk for
developing eating disorders when compared to non-athlete females in general (Coehlo et al.,
2014). However, researchers have shown elite female athletes are three times more likely to
have an eating disorder than a female non-athlete due to several specific risk factors (Bar et
al., 2016; Thompson, 2014). There are several well-known female athletes diagnosed with
eating disorders. Famous gymnasts Kathy Johnson, Nadia Comaneci, Christy Henrich, Cathy
Rigby, and Christy Phillips have all spoken about their struggles with eating disorders
(Ekern, 2012). National level gymnast Christy Henrich died at a weight of 47 pounds in 1994
due to multiple organ system failure related to anorexia nervosa (Deardorff, 1994). She was
the first well known United States gymnast to die of an eating disorder (Farrar, 2014). Cathy
Rigby, an Olympic gymnast in 1972, battled anorexia nervosa and bulimia for twelve years
and went into cardiac arrest on two occasions as a result of it (Deardorff, 1994). Christy
Phillips has spoken out about her struggle with anorexia nervosa following a coach’s
comment stating she needed to watch her weight when she was ninety-three pounds (Farrar,
2014). Athletes sharing their narratives and experiences of their eating disorders has brought
attention and awareness to the high prevalence rate of eating disorders within the athletic
population.
Athlete Risk Factors
Eating disorders are complex and caused by several contributing factors. Gender is
one factor, as the female to male ratio of athletes struggling with eating disorders is ten to
one (Sports Dietitians, 2015; Striegel-Moore et al., 2009). Female athletes are at high risk for
44
eating disorder onset (Bar et al., 2016; Coelho et al., 2014; National Eating Disorder
Association, 2018). These results do not mean men do not struggle with eating disorders.
Men are at risk of developing an eating disorder as well; however, the incidence and
prevalence rates are much higher within the female population and research indicates females
are significantly more susceptive to eating disorders when compared to males (Lichtenstein,
2018; National Eating Disorder Association, 2018; Sports Dieticians, 2015). This project
focused on the female athlete population.
There are several sport specific risk factors for female athletes. One is the specific
sport of play. Sports emphasizing appearance, individual performance, weight requirements,
muscularity, or body weight as a performance indicator put athletes at a greater risk for
developing an eating disorder (Lichtenstein, 2018; Offord & Kraemer, 2000). These sports
include gymnastics, diving, bodybuilding, wrestling, cross country, and swimming. Athletes
may experience extreme pressure to lose weight, diet, or compulsively exercise to reach their
ideal appearance and weight, especially if they believe this will directly improve their
performance (Voelker et al., 2016). Another sport factor is whether the sport is considered a
team or an individual sport. Female athletes involved in individual sports are at a higher risk
for developing an eating disorder (Coelho et al., 2014; Lichtenstein, 2018; National Eating
Disorder Association, 2018). Individual team sports include gymnastics, running, figure
skating, dance, and diving. Athletes involved in individual sports may feel immense pressure
to control all factors influencing their peak performance. This may be due to not having
teammates to rely on and buffer the performance pressure (Lichtenstein, 2018; Stewart, n.d.).
Sports that focus on individual performance tend to reinforce athletes with an internal locus
of control. These athletes may attempt to control their eating patterns, body weight, and
45
amounts of exercise in hopes to directly influence their competition outcomes (Bar et al.,
2016; Coelho et al., 2014).
The level of competition in sport is another specific sport factor. Females who have
trained for a sport since childhood and compete at an elite level (i.e., collegiate, national club,
and professional level) are at the highest risk for an eating disorder (Borgen-Sundgot &
Torstveit, 2004). Elite athletes experience more pressure to perform as their finances,
livelihood, and reputation may be on the line. Professional athletes tend to have
characteristics of perfectionism, which is a characteristic correlated to eating disorders
(Muhlheim, 2020; National Eating Disorder Association, 2018). This project explored eating
disorder prevention among elite female individual-sport athletes, as they are at the highest
risk for developing an eating disorder (Bar et al, 2016; Borgen-Sundgot & Torstveit, 2004;
Coelho et al., 2014; Lichtenstein, 2018; National Eating Disorder Association, 2018). The
relationship among sports, exercise and eating disorders has received increasing attention.
This attention has sparked researcher interest in examining the health and performance
concerns associated with athletes struggling with eating disorders.
Athlete Health and Performance Concerns
Female athletes are often body conscious regarding weight and appearance (Coelho,
2014). They may feel the pressure to achieve and maintain an unrealistic body shape and
size. They also may experience demands to be thin to maximize their performance from
parents and coaching staff. Athletes may go to extremes with manipulating eating behaviors
and engaging in overexercise with the belief that it will enhance their performance (Bar et al,
2016; Borgen-Sundgot & Torstveit, 2004; Coelho et al., 2014). These extremes can impact
an athlete’s overall health and it can impede performance long term.
46
Eating disorders may have serious effects on an athlete’s health physically and
mentally. Restricting types of disorders may result in malnutrition, which can cause the loss
of menstruation and lead to the loss of calcium and bone density (Currie, 2010; National
Eating Disorder Association, 2018). Athletes not receiving adequate nutrition and lacking
bone density are at a greater risk for stress fractures and injuries (Bar et al., 2016; Coelho et
al., 2014). They are more likely to get sick and miss games due to compromised immune
functioning (Insel, 2012; Mehler, 2014; National Eating Disorder Association, 2018). There
are several other negative medical consequences associated with malnutrition that can hinder
an athlete’s quality of performance.
Athletes with severe cases of eating disorders are at risk for more serious health
problems. Athletes with eating disorders may become dehydrated due to electrolyte
imbalances. Dehydration can lead to athletes sitting out of their sport due to cramping, injury,
dizziness, and fainting (Mehler, 2014; National Eating Disorder Association, 2018). Athletes
restricting food intake are at a greater risk for developing anemia, which can cause muscle
weakness, fatigue, hemorrhaging, easy bruising, tachycardia, and lightheadedness (Insel,
2012; Mehler, 2014). Athletes may experience other serious medical complications such as
gastrointestinal issues (i.e, abdominal pain, constipation, and diarrhea), dysregulation of
body temperature, infertility, kidney failure, osteoporosis, metabolic irregularities,
hemorrhaging of the eyes and ears, dental decay, damage to the throat, erosion of the
esophagus, cardiac instability, aspiration, respiratory distress, and sudden death (Cost et al.,
2020; Ekern, 2018; Insel, 2012; Mehler, 2014; Muhlheim, 2020; National Eating Disorder
Association, 2018). There are severe medical complications associated with eating disorders
among athletes, therefore it is imperative to not take these disorders lightly.
47
Athletes with eating disorders not only suffer physical health consequences but they
also may suffer from mental health issues. Eating disorders may involve considerable
psychological impairment and distress, depending on the level of severity. Eating disorders
are often associated with other psychological disorders such as depression, anxiety, substance
abuse, personality disorders, and obsessive-compulsive disorder (National Eating Disorder
Association, 2018). Athletes with eating disorders may experience decreased concentration,
which affects their overall performance (Lichtenstein, 2018). It is common for athletes to
experience obsessive thoughts regarding eating, food, exercise, and weight (National Eating
Disorder Association, 2018). These obsessions may cause severe distraction and lead to
deteriorating athletic performance. Athletes may experience social isolation due to shame
associated with their disorder, which can lead to long term social impairment (Borgen-
Sundgot & Torstveit, 2010; Currie, 2010).
Eating disorders have direct effect on an athlete’s performance. At first athletes may
believe they can perform well despite their eating disorder, but eventually the athlete’s eating
disorder begins to affect their performance and their health may begin to deteriorate. After
extended periods of restriction, an athlete’s agility, VO2 capacity, and speed decreases
(McCallum Place, n.d.). Malnutrition and lack of carbohydrates results early glycogen
depletion, fatigue, and it causes the body to resort to using protein as fuel (Borgen-Sundgot
& Torstveit, 2010; McCallum Place, n.d.). Inadequate protein intake and reservations lead to
muscle wasting, injury, weakness, and fatigue (National Eating Disorder Association, 2018).
Athletes may lose the ability to concentrate on the game and may struggle to play with
emotion due to negative emotional affect and the effects their eating disorder has on their
body overall (Insel, 2012; Mehler, 2014).
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Highest-Risk Athletes
There are specific factors that impact the prevalence of eating disorders within the
female sport setting. One factor is the level and type of sport participation (Borgen-Sundgot,
2004). Studies indicate higher incidence and prevalence rates of eating disorders among high
level elite sport participation (Borgen- Sundgot & Torstveit, 2010). High level elite sport
participation includes athletes competing at the national club, collegiate, and professional
level (Borgen-Sundgot, 2004; National Eating Disorder Association, 2018; Thompson,
2014). Athletes competing in sports where leanness or a specific body weight is important
are more prone to developing eating disorders when compared to athletes competing in sports
where these factors are considered less important (Borgen-Sundgot, 2012). Athletes
competing in sports that focus on the individual rather than the entire team have a higher rate
of eating disorders compared to individuals competing in team sports (Currie, 2010;
Thompson, 2014). Individual sports include sports that focus on the individual rather than the
entire team. Some common individual sports include gymnastics, running, figure skating,
dance, swimming, and diving. Team sports include basketball, soccer, rugby, volleyball, and
lacrosse.
Elite Female Individual Sport Athlete Risk Factors Leading to the Need for Prevention
There are several correlates related to the high prevalence rate of eating disorders
among the athletic population. These include individual and sport specific factors (National
Eating Disorder Association, 2018). There is little prevention research on elite female
athletes participating in individual sports, even though this population has been identified as
having the highest risk (Bar et al., 2016; Levine, 2018; Pearson & Rivers, 2019). The
extensive list of female athlete specific correlates, risk factors, and vulnerabilities calls for a
49
need to address the issue of the high prevalence rate of eating disorders amongst the elite
female individual sport athletic population. Prevention studies may assist in lowering the
overall prevalence rate amongst this population by determining which prevention
interventions are most effective for prevention and why (Levine, 2018).
Sport Psychologists Addressing the Need for Prevention
Sport psychologists play a crucial role in treatment and prevention of eating disorders
within the athletic setting. The role of a sport psychologist is to provide support and
encouragement to athletes while also challenging eating disorder thoughts and behaviors
(Petrie, 2020; Stewart, n.d.). It is important sport psychologists have specialized training to
be competent in understanding the pressures of competition, the multifaceted issues that
influence athletic performance, and encouraging a balanced approach to training and
competition (McCallum Place, n.d.). It is certain that a sport psychologist will encounter an
athlete struggling with an eating disorder throughout their career, especially for those
working in individual sports that emphasize weight loss (Papathomas & Capicotto, 2017).
Sport psychologists must have knowledge on eating disorders; as they often play a
key role in identifying eating problems and facilitate help for athletes in need or support;
however, they should not practice beyond their scope of training (Stewart, n.d.). Sport
psychologists should encourage open conversations about eating behaviors and use their
awareness of the performance-oriented sport culture as an intervention to bring attention to a
disordered eating issue (McCallum Place, n.d.; Papathomas & Capicotto, 2017). They also
should be aware of an athlete’s early warning signs indicating an eating disorder; as sport
psychologists can implement primary prevention strategies (Arthur-Cameselle et al., 2017). It
has shown to be beneficial for sport psychologists to educate athletes and support staff on
50
eating disorder early warning signs and symptoms; as peer athletes and support staff are
closest in proximity to the athletes and are more likely to notice performance, behavioral, and
eating changes (Coelho, 2014; Levine, 2018).
Sport psychologists can facilitate prevention interventions to combat the high rates of
eating disorders amongst the elite female individual-sport athletic population. Programs such
as Athletes Targeting Healthy Exercise and Nutrition Alternatives (ATHENA), Preventive
Education Aimed at Eating Disorders, Athlete Modified-Dissonance Based Prevention (AM-
DBP), and Athlete Modified-Healthy Weight Intervention have been implemented by sport
psychologists to assist in eating disorder prevention among athletes (Becker et al., 2012;
Coelho, 2012; Stewart, n.d., Voelker & Petrie, 2019). Researchers have identified a
correlation between athletes experiencing less eating disorder symptoms after receiving each
of these interventions (Bar et al., 2016; Becker et al., 2012). While correlation studies exist,
very few studies assess for the overall effectiveness rate for each of these treatments (Becker
et al,. 2012; Wein, 2018). This has caused an issue in identifying best practice
recommendations for sport psychologists addressing eating disorder prevention (Bar et al.,
2016; Koman, 2018; Pearson & Rivers, 2019; Thompson, 2019). This project further
explored the literature on prevention interventions to determine which eating disorder
prevention interventions are most effective and why in Chapter IV.
This project aimed to identify the most effective prevention interventions sport
psychologists can utilize to lower the eating disorder prevalence rate amongst the elite female
individual-sport athletic population. The passing of Title IX led to an explosion in the
number of female athletes participating in sports. This increase led to more female athletes
becoming vulnerable to eating disorders; therefore, identifying best practices for preventative
51
interventions are needed now more than ever (Burtka, 2019; National Eating Disorder
Association, 2018).
Women’s Participation in Sports
Female participation in sports has increased immensely across all competitive levels
since the institution of Title IX in 1972 (Women’s Sport Foundation, 2018). Title IX protects
people from discrimination based on sex in athletic programs or activities that receive
Federal financial assistance (National Collegiate Athletic Association, 2018). It also strives
to promote gender equity by encouraging athletic programs to establish an environment that
is free of gender bias and encourages promoting fair and equitable athletic programs (Office
for Civil Rights, 2015). Prior to Title IX only 1% of college athletic budgets went to
women’s sports programs and male athletes outnumbered female athletes twelve to one
(Women’s Sport Foundation, 2018).
Title IX opened doors and removed barriers for girls and women. Female athletes and
their sports programs still have fewer teams, scholarships, and lower budgets than their male
counterparts, but that has not stopped female sport participation from growing. Female sport
participation has grown by 1057% at the high school level and by 614% at the college level
since the implementation of Title IX (National Collegiate Athletic Association, 2018). Title
IX heavily impacted athletic programs and the lives of millions of females. Prior to the
application of Title IX in 1974, fewer than 300,000 females played high school sports, today
the more than 3.1 million females engage in high school sports (Simpson, 2012). Specific
sports became more popular since the Title IX changes, such as: women’s basketball,
volleyball, soccer, softball, cross country, tennis, track and field, golf, and swimming
(Women’s Sport Foundation, 2018).
52
History of Title IX and Growth of Women’s Sports
Title IX was first developed and passed by congress in 1972 and originally had no
mention of equal opportunity for sports, as it only focused on academic equality (Women’s
Sport Foundation, 2018). In 1973 Sports Illustrated published a series on women in sport to
highlight several ongoing gender concerns in sport, including: the issue of gross inequity and
quality of women’s versus men’s sport programs, the accepted belief that sports were not
essential and too risky for females, and that females were missing out on learning important
life skills by not being involved in sports (Edwards, 2010). In 1974 congress passed the
Javits Amendment, which expanded Title IX to include athletics (Anderson & Osborne,
2008). Although Title IX was passed there were still ongoing issues regarding the equality of
men’s and women’s sports, as men’s teams were continuing to get more funding for coaching
staff, equipment, training services, and locker rooms (Edwards, 2010). It wasn’t until 1992
when the National Association of Collegiate Women’s Athletic Administrators (NACWAA)
created and endorsed a more specific definition of gender equality in sports, which led to
increasing Title IX compliance regarding gender equality in sports (Kane et al., 2013).
The increase in Title IX compliance had a significant impact on the number of
females participating in sports, as the number of females participating in sports went from
one in twenty-seven to one in five (Women’s Sports Foundation, 2018). The statue created
tremendous gains for female athletes by raising visibility and cultural acceptance of women
in sports, creating social bonds for women, and creating more leadership roles (Brake, 2016).
There are still gender inequities in sport, however, the inequity gap has closed significantly
when compared to the gap in the 1970s to the 1990s (Edwards, 2010). The evolution of Title
IX changed the face of women’s athletics.
53
Impact of Women in Athletics
Title IX created a revolution in women’s sports as the increase in funding allowed
for better coaching staff, equipment, and training; therefore, quality of play in women’s
sports has increased dramatically (Burtka, 2019; Edwards, 2010). The increase in female
sport participation at the college level created a tipping point for elite athletics, as there were
more opportunities for women to cultivate their skills that could eventually land them on a
national or Olympic team (Lind, 2016). The rise in women participating in sports and the
escalation in the quality of play has led to increases in competitiveness in elite level female
sports (Brake, 2016). The heightened levels of competitiveness in female elite sports have led
to increased pressure for females to perform at their highest level (Bar et al., 2016; Burtka,
2019).
Implications of Growth in Women’s Sports
Since the rise in female participation in sports, providers and researchers began to
examine the role sports have in a female athlete’s life (Lind, 2016). The increase in women
participating in sports has led sports medicine health care providers to become more aware of
the unique health concerns, such as eating disorders, within the female athletic population
(Reinking & Alexander, 2005). There is conflicting research on this topic as some experts
believe sports are a protective factor against the development of an eating disorder, while
others believe sports place female athletes at a higher risk of developing an eating disorder
(Bar et al., 2016; Lichtenstein, 2018; Reinking & Alexander, 2005).
Reviews of current literature indicate that female collegiate athletes are more
likely to exhibit eating disorder pathology when compared to male athletes and non-athletes,
with White females having the highest risk (Bar et al., 2016; Moreland et al., 2018;
54
Thompson, 2019). Researchers identified that it is not athletic participation that increases a
female’s risk of an eating disorder; rather it is the participation in particular sports that
increase the risk of developing an eating disorder (Galmiche et al., 2019; Joy et al., 2016;
Moreland et al., 2018; Thompson, 2019). Eating disorders are complex, multifaceted, and
have several contributing factors such as sociocultural, psychological, biological,
environmental, and behavioral (Bar et al., 2016; Constantz & Mason, 2010; Thompson,
2019). Female athletes are under the same sociocultural pressure as female non-athletes to
obtain an ideal body, but they also have added pressure related to succumbing to the
performance and aesthetic requirements of their sport (Thompson, 2019). Researchers have
shown that female athletes have a higher incidence and prevalence rate of eating disorders if
they participate in individualized sports that emphasize diet, appearance, size, weight
requirements, and an overvalued belief that lower body weight will improve performance
(National Eating Disorder Association, 2018; Thompson, 2019).
Athletes competing in elite levels of competition have a significantly higher risk
for developing an eating disorder due to the extreme pressure for perfection, enhancing
performance, and hitting ideal standards related to body size and image (Bar et al., 2016;
Coelho, 2014). The prevalence rate of eating disorders within the athletic population has
risen over the years, this is likely due to Title IX leading to more females participating in
higher level high-risk sports (Javed et al., 2013; Lichtenstein, 2018; McLean, 2002). As
female sport participation continues to rise within the elite level, more female athletes remain
at an increased risk of developing eating disorders (Coelho, 2014; National Eating Disorder
Association, 2018). The increase in female athletes diagnosed with eating disorders has led to
more research on the effects the disorders have on performance, early identification, and
55
treatment (Bar et al., Coehlo, 2014, National Eating Disorder Association, 2018). However,
there remains a gap in research on the effectiveness of prevention programs (Stewart et al.,
2014; Stice et al., 2017; Voelker & Petrie, 2019). To combat the increasing risk of female
elite athletes, preventative interventions and protocols were explored utilizing a prevention
science framework.
Prevention Science Framework
Prevention science is a conceptual framework utilized for studying the prevention of
human disfunction (Coie et al., 1993). The overall goal of prevention science is to prevent or
moderate major human dysfunctions. This can be done by mitigating or eliminating the
causes of the disorder. Prevention science is focused on the systematic study of potential
precursors of dysfunction, which includes the study of risk factors and protective factors.
Risk factors are variables associated with an increased probability of onset, greater severity,
and a longer period of mental health problems. Protective factors include conditions that
increase resistance to risk factors of a disorder. Prevention science aims to identify
interventions to counteract risk factors and reinforce protective factors, which will in turn
disrupt the processes that contribute to human dysfunction (Coie et al., 1993).
Classification of Prevention
There are several ways to classify prevention. Prevention is defined by a systematic
process that promotes healthy environments and behaviors and reduces the likelihood of an
illness (Bar et al., 2016). This project will utilize the most common classification scheme
proposed by the Commission on Chronic Illness in 1957 (Dao Le et al., 2017; Mrazek et al.,
1994). The scheme is based on primary, secondary, and tertiary prevention. This
56
classification scheme identifies interventions according to when they occur in relation to the
development of an illness.
Primary prevention occurs before any symptoms or behaviors develop (Coie,1993).
Primary prevention aims to decrease the number of new cases of a disorder which leads to
lowering the incidence rate (Mrazek, 1994). Secondary prevention occurs when an already
identified disorder (in the early stages) is addressed before it becomes severe (Langmesser &
Verscheure, 2009). Secondary prevention aims to lower the rate of established cases of a
disorder in a population which leads to lowering the prevalence rate (Mrazek, 1994). Tertiary
prevention occurs after a disorder has clearly impacted an individual and attempts to keep the
disorder from getting worse or progressing any further (National Eating Disorder
Association, 2018). Tertiary prevention aims to decrease the amount of disability associated
with a disorder (Mrazek, 1994).
Gordon (1987) believed that disease prevention and health promotion programs could
be based solely on empirical relationships. This led him to create a different classification
system for preventative measures. Gordon’s classification system was based on a risk-benefit
perspective, meaning the risk to an individual of getting a disease must be weighed against
the risk, cost, and discomfort of the preventative intervention (Mrazek, 1994). Gordon’s
system included three categories: universal, selective, and indicated preventative measures.
These categories represented the population groups who would be most optimal to receive
the interventions.
The different types of preventative measures, including universal, selective, and
indicated aim to utilize prevention interventions based on a type of population. Universal
prevention refers to approaches designed for an entire population without regard to individual
57
risk factors (Coie et al., 1993). Selective prevention refers to strategies targeted to one or
more subgroups of a population determined to be at high risk (Dao Le et al., 2017; Raich et
al., 2010). Indicated prevention refers to strategies targeted to those found to manifest a risk
factor or condition that puts them, individually, at higher risk for the development of a
disorder (Mrazek, 1994). Selective and indicated prevention are similar, however, indicated
prevention involves teaching individuals with an already occurring eating disorder how to
engage in healthy non-disordered ways of eating, the appropriateness of exercise, and ways
to maintain a healthy weight (National Eating Disorder Collaboration, n.d.). Selective
prevention focuses on interventions for individuals not yet experiencing an eating disorder
(Mrazek, 1994).
There are several considerations when determining the type of prevention and
preventative measure to utilize when working with a population. The purpose of the
intervention should be considered before determining if a primary, secondary, and tertiary
prevention is appropriate. If the purpose of prevention is to lower the incidence rate, then a
primary intervention is appropriate. If the purpose of the prevention is to lower the
prevalence rate, then a secondary prevention is beneficial. If the purpose of the prevention is
to enhance the quality of life for an individual already suffering from a disorder, then a
tertiary prevention is optimal. Determining preventative measures includes considering if
preventative measures are meant for an overall population, a higher risk population, or an
extreme risk individual population.
Prevention Science and Eating Disorders
Eating disorders have become a public health concern, however public health
professionals have yet to widely address the issue (Austin, 2012; Bar et al., 2016; Levine,
58
2019). Prevention science literature is a tool used by practitioners to assist in examining of
what has been achieved in the field so far (Austin, 2012). Recent evidence has documented
eating disorders occurring at increasing rates in both males and females, rising mortality rates
for people diagnosed with eating disorders, and high treatment costs (Austin, 2016; Levine,
2019; Worsfold et al., 2018). Researchers are conducting ongoing research on the efficacy of
specific prevention protocols in response to the rising prevalence and mortality rates and
medical costs associated with eating disorders (Bar et al., 2016; Stice et al., 2014). Eating
disorder prevention has become an important focus due to the serious medical and
psychological effects eating disorders have on individuals. Eating disorders may result in
chronicity and relapse over one’s lifetime, impaired social functioning, increased risks for
depressive disorders, anxiety disorders, substance abuse, health problems, cardiac arrest, and
obesity (Levine, 2018; Stice et al., 2014).
Prevention science operates from a frame of reference that risk factors have a
compounding effect on an individual and have additive effects on illness vulnerability
(Levine, 2018). It is believed the probability of disease may increase as a function of the
number, duration, and harmfulness of the risk factors encountered (Brady et al., 2020; Coie et
al., 1993). Optimally, prevention interventions should be targeted early, when the risk factor
of interest predicts dysfunction (Bar et al., 2016; Coie et al., 1993). Prevention science trials
target high risk populations based on the theory that some people are at high risk for
dysfunctional development by virtue of their exposure to severe or multiple risk factors
(Koepsell et al., 2011).
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High-Risk Population
Eating disorders occur in people of all ages (Bar et al., 2016). They occur across all
socio-economic groups and cultures (National Eating Disorder Association, 2018). However,
there are some groups of people with a particularly high level of risk within this broad
demographic. The definition of a high-risk population is a population of individuals that are
more likely than others to get a particular disorder. A high-risk population typically is a
population with several risk factors, which make the individual more susceptible to
developing an eating disorder (Pelzman, 2014). Females, in general, are at a higher risk for
developing eating disorders when compared to men (National Eating Disorder Association,
2018).
Amongst the general female population, the prevalence of eating disorders is highest
among females who participate in elite level sports (Bar et al., 2016; Borgen-Sundgot, 2012).
Females participating in elite sports are three times more likely to have an eating disorder
when compared to the general female population (Koman, 2018). Researchers have indicated
that elite female athletes are at a higher risk due to not only having female risk factors, but
elite female athletes also have sport specific risk factors and more pressure to have a specific
body type related to their sport performance (Coelho et al., 2014; National Eating Disorder
Association, 2018). Elite female athletes appear to have the highest prevalence rate when
compared to other female athletes participating in lower competitive sports (Bar et al., 2016;
Brady et al., 2020). Elite female athletes are more vulnerable to eating disorders due to the
pressure to have a sport specific body type to perform at an elite status (Koman, 2018).
Prevention science may assist in addressing the issue of the high prevalence and incidence
rate of eating disorders amongst elite female individual sport athletes.
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Elite Female Individual-Sport Athletes and Prevention Science
Elite female individual-sport athletes are identified as the most vulnerable and the
highest-risk population to develop an eating disorder due to several risk factors, the pressure
to perform at an elite status, and the need to meet sport specific body ideals (Bar et al., 2016;
Weir, 2018). Prevention science can help better understand ways to address the concern of
the elite female individual-sport athletic population having eating disorders at high rates
(Scott et al., 2019). Primary prevention efforts aim to prevent the emergence of an illness or
disorder by influencing correlates and risk factors contributing to the development of an
eating disorder (Coelho, 2014). Meta-analytic reviews of published prevention trials
indicated that larger intervention effects tended to emerge for protocols focusing on indicated
prevention strategies when compared to universal and selective prevention strategies
(Chithambo, 2017; Coelho, 2014; Stice, 2013). These specific indicated prevention
interventions will be further explored in Chapter IV.
Knowledge Gaps
There are several knowledge gaps regarding the topic of eating disorder prevention
within the elite female individual-sport athletic population. There is some empirical data on
the extent of the issue of eating disorders amongst the elite female individual-sport athletic
population, but there is very little data on the effectiveness of prevention (Bar et al., 2016;
Coelho, 2014; Pearson & Rivers 2019). Very few studies focus on the highest-risk athletes,
such as elite female athletes competing in individual sports (Weir, 2018; Pearson & Rivers,
2019; Thompson, 2019).
There is also a gap in research regarding the length of time prevention interventions
work for combating eating disorders amongst the female athlete population (Bar et al., 2016).
61
There is a research-practice gap among researchers and clinicians, which makes it hard to
assess the efficacy of prevention interventions due to the lack of implementing the
preventions within the sport setting (Bar et al., 2016; Tetyana, 2012). This has left many
sport psychologists unsure of the best approach to eating disorder prevention within the
athletic setting (Hildebrandt, 2005; Weir, 2018; Stewart, n.d.). There is also a lack of
consistency for prevalence rate data, as the prevalence rate of female athletes with eating
disorders varies between studies (Weir, 2018; Pearson & Rivers, 2019).
Lack of Studies on High-Risk Female Athletes and Prevention
There is a lack of sport science and research conducted on elite female individual-
sport athletes, which makes it challenging to develop evidence-informed approaches to
preventative interventions (Emmonds et al., 2019). The lack of research on this population
also leads to a gap in knowledge regarding the efficacy rate of prevention strategies within
this population (Bar et al., 2016; Stewart et al., 2019). The research-practice gap is a concern
regarding assessing the efficacy and practicality of preventative interventions. This may be
due to the lack of dissemination and promotion of evidence-based prevention programs (Bar
et al.,2016; Pearson & Rivers, 2019; Tetyana, 2012). There are general studies that focus on
universal eating disorder prevention interventions within female athletes in general, however
it is not known if these interventions are effective for selective and indicated prevention
(Emmonds et al., 2019; Pearson & Rivers 2019). The very few prevention studies amongst
the elite female athletic population lack evidence for how long the prevention treatment
works (Bar et al., 2016; Gorrell et al., 2019). It would be ideal to find prevention
interventions that will have a long-term impact on the elite female individual-sport athletic
population.
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Prevalence Rates
While literature shows conflicting evidence to prove female athletes are more at risk
of developing an eating disorder when compared to the non-athlete female population;
research indicates that sport specific athletes competing at an elite level are at a higher risk of
developing an eating disorder overall (Lichtenstein, 2018). However, the prevalence rate
among these elite athletes varies widely in research (Mancine et al., 2020). Factors such as
sample sizes, comparison groups, appropriate instruments for measurement, and confounding
variables may be leading to the inconsistent reports of prevalence rates (Coelho et al., 2014;
Thompson, 2019). Inadequate sample sizes may be skewing the prevalence rates due to
increasing the sampling error and making the sample statistic more variable. An inadequate
of number of comparison groups may also be leading to the wide prevalence rate.
A lack of focus on specific environmental elements that predispose athletes may be
leading to a failure to account for confounding variables, which may be threatening interval
validity of the studies. An inadequate measurement instrument may be contributing to the
wide variety of prevalence rates. Most studies assessing the prevalence rate for female
athletes with eating disorders utilized a self-report measurement to assess for the presence of
an eating disorder (Bar et al., 2016; Coelho et al., 2014). This becomes problematic for
athletes who are reluctant to report any eating disorder symptoms due to fears related to the
stigma of having an eating disorder within the sporting arena. Additional research that
addresses the concern of a lack of sample sizes, comparison groups, focus on confounding
variables, and appropriate measurement instruments are needed to further investigate the
accuracy of reported prevalence rates amongst the female athletic population.
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Summary
While there is conflicting evidence indicating that athletes in general seem to have
similar risks of developing eating disorders as non-athletes, the elite female individual-sport
population present a higher prevalence rate of eating disorders than the general population
(Borgen-Sundgot, 2012; Bullard, 2015; Emmonds et al., 2019). As a result of the 1972 Title
IX mandate, more female athletes are participating in individual elite level sports today than
in the past (De Bruin & Oudejans, 2018; National Collegiate Athletic Association, 2018;
National Eating Disorder Association, 2018; Women’s Sport Foundation, 2018). The rise in
the number of female athletes at the highest risk for developing an eating disorder has created
a need for focusing on prevention strategies due to prevalence rates also rising (Lichtenstein,
2018; Thompson, 2019).
Prevention science utilized at an optimal level focuses on early prevention or
prevention before an individual starts to develop symptoms and it targets highest-risk
populations (Brady et al., 2020; Coie et al., 1993; Koepsell et al., 2011). Sport psychologists
can play a crucial part in enhancing an athlete’s overall mental health and can be the key
individual involved in implementing eating disorder prevention interventions (Stewart, n.d.).
There is research on sport psychology prevention programs, but there are inconsistencies in
the level of effectiveness and the outcomes (Bar et al., 2016; Thompson, 2019). There is also
a lack of implementation and promotion of such programs (Arthur-Cameselle et al., 2017:
Stewart, n.d.) There are currently no sport psychology best practice guidelines for eating
disorder prevention, which puts sport psychologists in a tough position when it comes to
addressing the need for eating disorder prevention (Papathomas & Capicotto, 2017). A
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further assessment of prevention intervention efficacy literature was conducted in Chapter IV
to better identify potential best practices for sport psychologists.
The purpose of this systematic literature review was to explore what sport psychology
preventative interventions are effective for eating disorders within elite female individual-
sport athletes, and to create best-practice recommendations for preventing eating disorders
within this population. This project focused on primary prevention with indicated prevention
measures to target combating the prevalence rate of eating disorders amongst the indicated
highest-risk population. Protocols revealed by the project may contribute to the sport
psychology field by providing sport psychologists guidance on how to best address the need
for eating disorder prevention amongst the highest-risk female athletic population. The
identified protocols will be promoted within several athletic settings to encourage
implementation. These results may assist sport psychologists in combating the risk factors
associated with athletes developing eating disorders and possibly lower the overall rates of
athletes diagnosed.
This project utilized a Systematic Literature Review to identify the most effective
eating disorder prevention interventions for Sport Psychologists working with the highest
risk female athlete population. Literature was synthesized, analyzed, compared, contrasted,
and combined to answer this project’s research question. This approach was chosen to
identify, synthesize, summarize, and evaluate existing research findings on this topic to assist
in making the available evidence more accessible to sport psychologists. Chapter III further
discusses this project’s specific procedures followed and the overall approach.
65
CHAPTER III: PROJECT APPROACH
The purpose of this chapter is to introduce the project approach for this systematic
literature review regarding sport psychology best practice recommendations for preventing
eating disorders within the athletic population. This chapter reviews the project’s research
questions, project approach, inclusion and exclusion criteria, literature collection method, and
an analysis of the data. There is currently a lack of sport psychology best practice prevention
interventions for eating disorders (Bratland-Sanda & Borgen-Sundgot, 2013; Joy et al.,
2016). The purpose of the systematic literature review was to synthesize and analyze what
sport psychology preventative interventions are effective for eating disorders within female
individual elite sports, and to create best-practice recommendations for preventing eating
disorders within this population. Protocols revealed by the project attempt to assist sport
psychologists in combating the risk factors associated with athletes developing eating
disorders and possibly lower the overall rates of athletes diagnosed.
Project Approach
The approach for this project was a systematic literature review. The review used
Liberati et al.’s (2009) Preferred Reporting Items for Systematic Reviews (PRISMA)
method. The PRISMA method assists researchers in ensuring their reviews are transparent
and they follow an evidence-based set of items through using the PRISMA checklist and
flow diagram (Moher et al., 2009). The project followed the specific seven step protocols for
the PRISMA method, which included: conducting a database search (selection), identifying
terms, determining inclusion and exclusion criteria, collecting literature, removing duplicate
literature, screening (and rescreening) literature for eligibility, and reviewing and analyzing
the literature (Liberati et al., 2009). This protocol assisted the researcher in identifying,
66
sorting, and analyzing literature that contains data pertinent to eating disorder prevention
interventions within the elite athletic population.
Over-arching Research Questions
This project addressed the following overarching questions:
1. Which eating disorder prevention interventions have been most effective for sport
psychologists working with the athletic population?
2. Why are these interventions most effective?
3. What are best-practice recommendations for sport psychologists to prevent eating
disorders within the athletic population, particularly with respect to elite female
athletes in individual sports?
The findings from this systematic data collection and analysis were used to identify best-
practice recommendations that sport psychologists, coaching staff, and athletes may assist in
lowering the eating disorder prevalence rates among the elite female athletes in individual
sports population.
Population and Sample
No human participants were directly involved in this project, which was consistent
with the systematic literature review methodology. Literature was extracted, synthesized, and
analyzed from published literature instead of extracting data from a participant sample. The
literature included for this project included material on eating disorders within the female
athletic population with a specific focus on eating disorder prevention programs for sport
psychologists. Elite female athletes were chosen for this project as they have easy access to
sport psychology services. Sport psychologists are more likely to be included in the coaching
staff for teams that have funding to support their services. Elite sports teams tend to have
67
higher funding which means they are more likely to hire sport psychologists. Therefore, the
protocol pamphlet resulted from this project was created and formulated for sport
psychologists and practitioners working with the elite female athletic population.
Ethical Concerns
No human participants were directly involved in this project. This project involved
collection and analysis of peer-reviewed literature pertaining to eating disorder prevention
for elite female athletes. Results were produced from samples of literature; therefore, no
protocols related to human participation were necessary. The project had no ethical concerns
regarding the sample population, as no human participants were used in the project. A
systematic literature review is exempt from protocols such as obtaining informed consent,
protecting participant confidentiality, and securing participant data. The project did not have
ethical concerns regarding human participants, but that does not mean it was free from all
limitations. Researcher bias was an ethical concern, as the researcher determined the
eligibility and ineligibility of the literature included in the review. The project’s conclusions
were based on the interpretations of findings from the researcher’s perspective, which may
have exposed the results to bias. Bracketing was used to mitigate the potentially deleterious
effects of researcher bias. Bracketing is the process of setting aside any researcher biases,
experiences, preconceived notions about the research topic (Fischer, 2009). Bracketing was
executed through the process of reflexivity and epoche. Reflexivity required continual
researcher self-reflection to ensure personal bias and experiences were not interfering with
the objective research process (Dodgson, 2019). Epoche is the process of suspending all
judgement related to the research topic (Fischer, 2009). Any researcher biases that may have
influenced the results of the project were noted for transparency purposes.
68
Literature Collection
The instrumentation for the systematic literature review included information sources.
Information sources for the project included electronic databases, an excel spreadsheet to
manage data, and the PRISMA checklist and flow chart. The PRISMA checklist and flow
chart guided the researcher in obtaining relevant and appropriate literature, as well as
identifying themes, strengths, and gaps in the literature (Moher et al., 2009). The PRISMA
checklist and flow chart provided an evidence-based set of items for reporting in the
systematic review, and it was used as a basis for evaluations of interventions, therefore it was
appropriate for this project (Liberati et al., 2009).
The literature collection process included collecting relevant scholarly and
professional literature through an internet search. The University of Arizona Global Campus
library’s online databases were accessed, including: ProQuest, ERIC, EBSCOHOST, and
SAGE databases. Inter-library loans by The University of Arizona Global Campus librarians
assisted in retrieving literature. The Taylor & Francis Online professional database
administered by the Association for Applied Sport Psychology (AASP) was searched for
professional literature. The American Psychological Association and the National Eating
Disorder Association professional association database sources were utilized. Google Scholar
and general internet searches were used. Sources of information included peer-reviewed
journal articles, professional literature, books, grey literature, theses, dissertations, and
conference papers. Keywords and Boolean phrases were searched. The keywords and phrases
included but were not limited to: eating disorders, eating disorders among athletes,
prevention of eating disorders, prevention of eating disorders among athletes, prevalence of
eating disorders in athletes, sport psychology and eating disorders, sport psychology eating
69
disorder prevention, risk factors related to eating disorders, and prevention science and
eating disorders. Literature that fit the eligibility criteria was collected and analyzed.
Inclusion Criteria
Establishing inclusion and exclusion criteria is a standard practice for a systematic
literature review (Patino & Ferreira, 2018). Inclusion criteria are a set of predefined
characteristics used to identify literature included in a research project (Salkind, 2010). These
criteria include the essential characteristics that the researcher should abide by to answer the
project questions. The literature compiled by this literature review was primarily based on
peer-reviewed scholarly and professional literature. The inclusion criteria included studies
focusing on elite female athletes over the age of eighteen that concentrated on eating
disorders. Studies were collected by utilizing the PRIMA method protocols. All studies
relevant to addressing the project questions were included in this review. This project’s
research question aimed to identify best practices for eating disorder prevention within the
elite female individual-sport population, however, due to the lack of an adequate number of
studies on this specific population; literature was expanded to focus on the elite female
athletic population.
Exclusion Criteria
Exclusion criteria is another critical component of a systematic literature review. It
includes criteria that meets the inclusion criteria but presents with additional characteristics
that could interfere with the success of the project (Patino & Ferreira, 2018). The primary
exclusion criteria for this project included articles with a publication date exceeding five
years prior to the completion of this project, or prior to 2016. The year 2016 was chosen due
to the lack of literature available within the last 5 years; therefore, a six year time lapse was
70
deemed appropriate to conduct this SLR. Literature exceeding this limit was not considered
unless it was seminal literature. Literature not written in English was not considered for this
project, as interpretations of the findings may have been convoluted. Studies focusing on
males, non-athletes, children under the age of eighteen, and recreational athletes were
excluded. Literature not directly relevant to the project questions were not included in this
review.
Analysis of Literature
Literature that met the inclusion and exclusion criteria was analyzed to answer the
project’s research questions. As data was collected and literature was reviewed, an Excel
spreadsheet was filled out to track categories that allowed for the researcher to easily identify
the sample size, intervention types, and results of the studies. As the analysis continued,
common themes emerged from the literature and were tracked on a master chart and then
were tabled separately for further evaluation and assessment.
The PRISMA flow chart was utilized to track all searches of databases, registers, and
other sources used in the project. It also assisted with organizing the literature that was
identified, screened, and included in this project. The PRISMA protocol checklist was used
to ensure protocols were followed while collecting literature for this project. This included
identifying clear objectives and rationale for this study. It also included determining
eligibility criteria, a search strategy, ways to manage data, and identifying the selection and
data collection processes. The PRISMA flow chart also provided protocols for data synthesis.
It provided a framework to describe and synthesize the findings from the data collection. The
PRISMA protocols allowed for a structured method of data collection and data syntheses.
The results of the analyses were expected to indicate which sport psychology prevention
71
interventions are most effective for elite female athletes participating in individual sports.
The analysis of literature is not the only important aspect of a SLR. Trustworthiness is
important to consider, as this can play a part in the quality of the results.
Trustworthiness and Quality of Results
Trustworthiness refers to the degree of confidence in data, interpretation, and
methods exists to ensure the quality of the project (Connelly, 2016). A systematic literature
review is considered an objective method to collect, analyze, synthesize, and interpret
literature from research (Liberati et al., 2009). Trustworthiness is a critical component of a
systematic literature review, as it assists in determining the level of objectivity involved in
the research process. Trustworthiness is typically measured by addressing a project’s
credibility, transferability, dependability, and conformability (Moher et al., 2009). However,
the trustworthiness of this systematic literature review was based on the principled actions of
the researcher. Researcher bias in evaluating the findings was considered to ensure
trustworthiness in this project. Bias was mitigated through bracketing and practices of
reflexivity and epoche. Reflexivity was practiced through the researcher using a journal to
track the research process. The trustworthiness of this project depended on the quality of the
literature reviewed, as well as properly following protocol from the PRISMA method.
Specific criteria such as ensuring articles were scholarly, professional, and peer reviewed
assisted in ensuring there was trustworthiness of the literature.
Summary
The purpose of this systematic literature review was to explore what sport psychology
preventative interventions are effective for eating disorders within elite female individual-
sport athletes, and to create best-practice recommendations for preventing eating disorders
72
within this population. The findings were assessed and used to determine which interventions
could be considered best-practice recommendations for elite female athletes competing in
individual sports. This systematic literature review used the PRISMA standardized method to
screen for eligible literature and to provide a map to identify relevant articles. Chapter IV
will further discuss the findings from this systematic review. It includes a discussion on the
PRISMA flow chart, summarizes findings from the review, describes pertinent tables and
charts and further evaluates the findings from the project to determine appropriate
recommendations.
73
CHAPTER IV: FINDINGS AND RECOMMENDATIONS
The purpose of this chapter is to synthesize and analyze literature related to
identifying sport psychology practices to prevent eating disorders among elite female
individual-sport athletes. This project entailed gathering peer-reviewed research on the
efficacy of current sport psychology prevention interventions implemented with elite female
athletes. The results of this project informed a protocol pamphlet to educate athletes and
coaching staff on sport psychology eating disorder prevention (see Appendix). The pamphlet
will be presented in several athletic settings and online to assist in combating the high
prevalence rate of eating disorders within elite female individual-sport athletes. This chapter
presents the findings of this systematic literature review (SLR) and is divided into three
sections: (a) findings (including sample and data collection process); (b) evaluation of
findings (including themes, literature and conceptual framework, suggestions based on
literature, and unexpected findings; importance of findings for research and practice); and (c)
recommendations (including limitations and implications for practice, and recommendations
for future research).
Findings
This section is divided into two sections: the sample and the data collection. Peer-
reviewed literature served as the sample for this SLR. This project’s sample of human
participants within the peer-reviewed literature were assessed to determine inclusion, or
exclusion with reason(s). The literature collected from this study was used to answer the
research questions. The PRISMA SLR protocols were utilized during the data collection
process. Figure 1 in this section displays the PRISMA Flow Diagram of the data collection
process.
74
Sample
No human participants were directly involved in this systematic literature review. The
participant demographics from the literature analyzed were a determining factor in whether
studies met the inclusion criteria or were excluded, as only studies conducted in the United
States focusing on elite female individual sport athletes over the age of eighteen that
concentrated on eating disorders were analyzed. All studies relevant to addressing the project
questions were included in this review. Thus, studies were included if the units of study were
adult elite individual sport female athletes.
The studies needed to be written in English, with full text access available to the
researcher. Studies were excluded if participants were minors, if they identified as a male, or
were not published prior to 2016. The year 2016 was chosen due to a lack of studies from
2017-2022. The purpose of this SLR was to explore what sport psychology preventative
interventions are effective for eating disorders within elite female individual-sport athletes,
and to create best-practice recommendations for preventing eating disorders within this
population. Qualitative, quantitative, and mixed methods studies were all included in the
SLR.
Sample and PRISMA Protocol
This systematic literature review (SLR) followed the specific PRISMA protocol
guidelines to collect the data necessary to obtain the findings of this study. Specific samples
of literature were selected to be included in the study to best represent the population of elite
individual sport female athletes. The data collected included criteria that was determine
during the PRISMA process. Further description of the selected sample and data collection
process is described below.
75
Literature/Sample Collection
The PRISMA protocol guidelines were followed as a framework for the literature
collection process of this project. This allowed for a structured and organized method of data
collection. Specific samples of literature were selected to be included in the project to best
represent the population of elite individual sport female athletes. The data collected included
criteria that was determined during the PRISMA process. Further description of the selected
sample and data collection process is described below.
76
Figure 1
PRISMA Data Collection
PRISMA 2009 Flow Diagram
This is a modified version of Moher et al.’s (2009) original PRISMA Flow Diagram.
Records identified through database searching
(n = 625)
Sc re
en in
g In
cl ud
ed
E lig
ib ili
ty
Id en
tif ic
at io
n
Additional records identified through other sources
(n = 5)
Records after duplicates removed (n = 361)
Records screened (n = 361)
Records excluded (n = 329) )
Full-text articles assessed for eligibility
(n = 32)
Full-text articles excluded, with reasons
(n=11)
Studies included in qualitative synthesis
(n =21)
Reasons excluded Under age 18 (n = 3)
Male only participants (n = 2) Not Published within 5 years (n=3)
Included non-elite female individual sport athletes (n=3)
77
Table 2
21 Included Articles in SLR
Author/Year Study
Design
N Intervention(s) Research Findings
Voelker & Galli
(2019)
Qualitative
31 ATHENA, AM- CBT, AM-HWI, The Victory Program, education to coaching staff, and destigmatizing discussing eating disorders.
Each intervention was effective in reducing eating disorder symptoms; however athletes preferred the Healthy Weight program the most.
Bundă & Bratu (2016)
Qualitative
8 Education to coaching staff, early diagnostics, and destigmatizing discussing eating disorders.
Coaches’ education on recognizing how an emphasis on bodyweight, thinness and disregarding an athlete’s health is the most important factor in developing an eating disorder. Early diagnostics allow for early intervention and prevent the disorder from getting worse. Stigma associated with eating disorders must be removed so athletes do not feel they are being treated as a negligible cost, which deters them from receiving prevention and treatment.
Bruin (2017)
Qualitative 7 Education to coaching staff and early intervention.
Coaches being educated allows for them to have better management skills and is correlated with early intervention with athletes.
78
Mountjoy et al.
(2018)
Qualitative 23 Education to coaching staff, peer led education, AM-CBT, Gender Specific Programs, and inclusion of sport policy and regulations in prevention.
Coaches being educated on symptoms and ways to identify eating disorder behaviors has been helpful in early prevention. Peer-based eating disorder/body image/education and cognitive dissonance- based programs have shown promise in preventing eating disorders among the athletic population.
Thompson (2019)
Qualitative 5 Education to coaching staff and athletes, challenging attitudes, beliefs, and behaviors associated with eating disorders (AM-CBT), body image, and the emphasis on leanness, early detection for symptoms by coaching staff, and destigmatizing discussion on eating disorders.
Coaches being educated leads to earlier detection and prevention. Challenging attitudes, beliefs, and behaviors associated with eating disorders, body image, and the emphasis on leanness is helpful with athletes not believing misconceptions about eating disorders enhancing performance. Destigmatizing talking about eating disorders may lead to athletes seeking help earlier.
Coelho et al. (2016)
Qualitative 14
Preventative education aimed at coaches and athletes, ATHENA, nutrition and psychological interventions, AM-CBT and AM-HWI.
Preventative education for athletes and coaches decreased the prevalence of eating disorders. ATHENA was effective at reducing eating disorder behaviors. AM- DPB and AM-HWI reduced dietary restraint, shape, and weight concerns. Both reduced the risk of ED but HWI was preferred by athletes.
79
Power et al.
(2020) Qualitative
21 Preventative education
aimed at athletes and coaches
Preventative education for athletes and coaches was effective if it focused on: proper nutrition, maladaptive eating patterns and their health consequences, learning how to address eating disorder issues, restriction leading to decreased athletic performance, and teaching athletes how to evaluate maladaptive eating and exercise behaviors.
Stranberg & Quatromoni
(2017)
Qualitative
1
Preventative education aimed at a multidisciplinary team and athletes.
Having a multidisciplinary team educated on eating disorders helps with early detection and preventative education. Education focusing on how much food is necessary for peak performance was helpful with decreasing eating disorder behaviors.
Rosa- Caldwell (2018)
Quantitative 51 Preventative education for athletes and coaching staff.
NCAA athletes were surveyed to assess how much they know about ED symptoms. The average score was 69%; only 23% getting above 80%, despite the athletes believing their knowledge was good. There is a need for more efforts to improve awareness through educational programs for both athletes and coaching staff.
80
Chang (2019)
Qualitative 11 Annual screening, CBT therapy, and prevention education for athletes and coaching staff.
Annual screening, CBT therapy, and prevention education for athletes and coaching staff are all beneficial for reducing the prevalence rate of eating disorders among collegiate athletes.
Stewart et al. (2019)
Mixed Methods
481 Female Athlete Body (FAB) project interventions, which is an AM-CBT based intervention.
Linear mixed effects models with team as a cluster level variable and study condition as a between‐subjects variable revealed significantly reduced dietary restraint in FAB teams relative to control teams. FAB teams also reported significantly fewer objective and subjective binge episodes than control teams. Finally, FAB teams showed significantly lower thin‐ ideal internalization and increased BMI at 18‐ months.
Stewart et al. (2017)
Mixed Methods
481 FAB, which is an AM- CBT based intervention
FAB participants had a decrease in weight in shape concerns compared to control participants. The FAB program was effective in increasing body satisfaction, ED awareness, ED prevention, and lowering modifiable risk factors.
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Conviser et al.
(2018)
Qualitative 13
The Victory Program at McCallum Place
The Victory Program which includes: a multidisciplinary team, efforts for early detection and referral, educational programs for all multidisciplinary staff and athletes, efforts to destigmatize the discussion on eating disorders, and encourages the usage of ED assessments throughout the year has found to be effective in lowering the rate of unhealthy eating behaviors.
Voelker & Petrie (2021)
Qualitative 116 Bodies in Motion- AM- CBT and Compassion Based Interventions
The Bodies in Motion Program (a form of dissonance based intervention) has qualitative data demonstrating promise for improving athlete’s body image and reducing eating disorder risks.
Joy et al. (2016)
Qualitative 8 Prevention education for coaches and athletes
Studies on prevention education programs for athletes resulted in improved bulimic pathology and increased the number of athletes seeking medical care due to concerns about eating disorder symptoms.
Bar et al. (2016)
Qualitative 5 AM-HWI, AM-CBT, and prevention education for coaching staff and athletes
Both AM-HWI and AM- CBT participants had a decrease in weight and body-imagine concerns compared to control participants.
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Stice et al. (2021)
Mixed
Methods
15 AM-HWI, AM-CBT, and prevention education programs
AM-HWI had little to no significant impact on decreasing the number of athletes with developing an onset of EDs. AM- CBT programs significantly reduced future onset of EDs in multiple trials.
Stice et al. (2017)
Quantitative 680 AM-HWI, AM-DPB, and prevention education for coaching staff and athletes
Both AM-HWI and AM- CBT participants had a decrease in weight and body-imagine concerns compared to control participants.
Hines et al. (2019)
Qualitative 10 Prevention education focused on athletes and coaching staff and destigmatizing seeking help for EDs.
Participants educated identified more appropriate potential symptoms of an eating disorder than those who were uneducated; however, education was not correlated with whether an individual sought help for an ED or not. This may indicate a need to focus on destigmatizing seeking help for treatment.
Scott et al. (2019)
Mixed
Methods
24 Prevention education for athletes/teammates only.
Teammates are an important source of influence on athletes eating attitudes and behaviors. Participants who were a part of a peer led athlete prevention education program tended to be more vigilant against unhealthy eating behaviors and endorsed more healthy eating practices.
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Data Collection
This project followed the specific seven-step protocol for the PRISMA method,
which included: (a) identifying a research question, (b) defining inclusion and exclusion
criteria, (c) searching for empirical studies, (d) selecting studies based on criteria, (e)
extracting raw data in the studies, (f) evaluating the risk of bias for the studies selected, (g)
presenting results from the studies selected, and (h) assessing the quality of evidence from
each empirical study (Choi et al., 2019). This protocol assisted the researcher in identifying,
sorting, and analyzing literature that contains data pertinent to eating disorder prevention
interventions within the elite athletic population. This process included creating a map to
answer the over-arching project questions.
The literature collection process included collecting relevant scholarly and
professional literature through an internet search. The University of Arizona Global Campus
library’s online databases were accessed, including ProQuest, ERIC, EBSCOHOST, and
SAGE databases. Inter-library loans by The University of Arizona Global Campus librarians
assisted in retrieving literature. The Taylor & Francis Online professional database produced
by the Association for Applied Sport Psychology (AASP) was searched for professional
literature. The American Psychological Association and the National Eating Disorder
Sandgreen et
al. (2020)
Mixed
Methods
17 Preventative education aimed at coaches and athletes, ATHENA, nutrition and psychological interventions, AM-CBT and AM-HWI.
The study concluded the complex nature of the prevention interventions, combined with a lack of evaluation data and poor methodological quality, limits the scaling and refinement of many interventions
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Association professional association database sources were utilized. Google Scholar and
general internet searches were used. Sources of information included peer-reviewed journal
articles, professional literature, books, grey literature, theses, dissertations, and conference
papers. Keywords and Boolean phrases were searched. The keywords and phrases included
but were not limited to eating disorders, eating disorders among athletes, prevention of eating
disorders, prevention of eating disorders among athletes, prevalence of eating disorders in
athletes, sport psychology and eating disorders, sport psychology eating disorder prevention,
risk factors related to eating disorders, and prevention science and eating disorders. Literature
that fit the eligibility criteria was collected and analyzed (see Table 2).
Literature Search Results
Searches using the search terms and Boolean phrases for this review resulted in 625
peer-reviewed articles and five additional records identified through other sources. After all
databases were thoroughly searched with the Boolean phrases and duplicate articles were
removed, 361 articles remained. 329 articles were excluded because the title and or abstract
had no relation to elite female athletes participating in individual sports, the publication date
was not within six years of the current date, the researcher did not have full access to the
works’ content, the articles were not published in English, or the participants were under the
age of 18. This left 32 studies that were then reviewed in-depth to assess for inclusion and
exclusion based on reason(s). After all studies were thoroughly scanned, 11 were excluded
and 21 were determined eligible and analyzed (see Figure 1). The remaining 21 studies were
included in this SLR and consisted of 14 qualitative, two quantitative, and five mixed-
methods studies.
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Evaluation of Findings
To analyze and evaluate the literature, the researcher compiled and created a master
data collection chart in Microsoft Excel that tabled information from the 21 articles into the
following descriptive rows: (a) author(s) and date; (b) study design; (c) participant number;
(d) prevention intervention; (e) main research findings; (f) themes; and (g) suggestions. Table
2 demonstrates a truncated chart of this information. This master chart assisted the researcher
in comparison, synthesis, and analysis of data from all 21 studies, which resulted in the
identification of five themes.
The five themes were categorized into two different categories including:
protocolized prevention interventions and non-protocolized prevention interventions (see
Table 3). Thorough analysis of the data also revealed several overlapping suggestions,
limitations, and contradictory findings. The findings were evaluated to determine the best
answer to this project’s research questions. After analysis of the literature, findings reflected
several effective eating disorder prevention interventions among the elite female sport
population.
Table 3 Category of Themes
Protocolized Prevention Intervention
Non-protocolized Prevention Intervention
CBT/AM-DBP Prevention Education AM-HWI The Victory Program ATHENA
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Themes
A total of five different prevention intervention themes emerged from this project.
Results from the studies indicated these five prevention interventions were effective with the
prevention of eating disorders among the elite female individual sport population. Each
intervention has its own individualized approach. The five themes emerged from this project
were: (a) athlete modified cognitive-behavioral-dissonance-based interventions (AM-CBT),
(b) athlete modified healthy weight focus interventions (AM-HWI), (c) the Victory Program
at McCallum Place (VPMP), (d) Athletes Targeting Healthy Exercise and Nutrition
Alternatives (ATHENA), (e) prevention education (PE) aimed at coaches, multidisciplinary
staff, and athletes that focuses on nutrition, destigmatizing the discussion around eating
disorders, eating disorder symptom and warning signs education.
Description of Themes
The themes that emerged were consistent with literature on effective eating disorder
prevention interventions previously implemented among female elite athletes. The specific
themes included eating disorder prevention interventions that were found to be effective
when implemented directly among female elite athletes participating in individual sports. The
interventions require either a trained sport psychologist, a coaching staff member, or elite
female athlete peer to conduct the intervention. Each intervention requires its own specific
protocols or directions to be successfully implemented. Table 4 includes an overview of each
theme and the studies discussing the efficacy of each theme.
AM-CBT Intervention.
Cognitive behavioral preventative interventions focus on identifying unhealthy
thinking patterns related to weight and diet within sport and challenging them to ensure
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healthier thinking patterns are guiding an athlete’s behaviors. The intervention focuses on
challenging unhealthy thinking patterns and reframing thoughts around weight and diet from
a healthier perspective (Bunda & Bratu, 2016; Voelker & Galli, 2009). This intervention is
typically conducted by a sport psychologist trained in this type of intervention (Bruin, 2017).
This intervention requires reframing cognitions based around eating and diet, which leads to
better behavioral decisions based around food and diet choices (Bunda & Bratu, 2016). There
are different cognitive behavioral interventions. One specific effective cognitive behavioral
intervention for preventing eating disorders among elite female athletes is cognitive-
dissonance-based interventions (Bunda & Bratu, 2016; Bruin 2017). Cognitive-dissonance-
based interventions create psychological discomfort to motivate an individual to reduce
cognitive discord by changing their beliefs (NEDA, 2018). A sport psychologist will do this
by creating an environment in which an athlete will become motivated to no longer idolize an
unhealthy sociocultural ideal.
Dissonance based prevention interventions focus on critiquing the thin ideal within a
sport, which reduces the pursuit of the unhealthy ideal (Mountjoy et al., 2018). This
intervention attempts to produce attitudinal change by altering neural representation of
valuation to thin and unhealthy models within sport. Altering the beliefs and cognitive
representations around a thin ideal then leads to athletes not glorifying this ideal (Thompson,
2019). This intervention is led by trained sport psychologists to assist athletes in developing
healthier attitudes towards their sport ideals (Coelho et al., 2014). This leads to athletes
creating and working towards a healthier ideal body type for their sport, rather than focusing
on a thin and unhealthy ideal (Mountjoy et al., 2018).
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AM-HWI Intervention.
The healthy weight prevention intervention focuses on providing elite female athletes
with factual and correct information about their sport ideals (Bar et al., 2016). The belief is
that the more educated the athletes are on healthy weight for their best performance, the less
likely they are to idealize a thin athlete ideal (Voelker & Galli, 2009). This can lead to less
athletes making dramatic changes to their weight and diet as they are aware that this deters
them from reaching their peak performance body ideal (Coelho et al., 2014). This
intervention is conducted by a trained sport psychologist (Bar et al., 2016).
This program endorses healthy changes in dietary intake and physical activity, targets
to increase body satisfaction by teaching athletes to manage their weight with healthy and
balanced means (Stewart et al., 2004). Participants in this program evaluate eating and
exercise habits via self-monitoring and then commit to small, manageable changes to diet and
exercises through home assignments (Stice, 2001). This allows for participants to make small
manageable lifestyle changes to promote healthier lifestyles. The athlete modified healthy
weight focus prevention intervention assists athletes in both behavioral change strategies and
assists in increasing self-efficacy; which is presumed to contribute to decreased body
dissatisfaction, negative affect and eating disorder pathology (Bar et al., 2016; Stice, 2001).
VPMP Intervention.
The Victory Program at McCallum Place is a specialized program that focuses on
athlete specific eating disorder risks and concerns (Conviser et al., 2018; Thompson, 2019).
The treatment program is specified for gender, sport type, and sport level of competition
(Conviser et al., 2018). The program takes a multidisciplinary approach and includes several
professionals who work alongside with athletes including medical professionals, sport
89
psychologists, sport dietitians, strength and conditioning coaches, and specialized eating
disorder therapists (Thompson, 2019). Prevention education is believed to be the most crucial
part of eating disorder prevention among female athletes (Bar et al., 2016). Therefore, the
Victory Program makes attempts to educate athletes and coaching staff about the signs,
behaviors, and symptoms of eating disorders. The program also focuses on changing athletes’
attitudes and behaviors associated with eating disorders, body image, and body ideals
(Thompson, 2019; Voelker & Galli, 2009). Early identification of “at risk” athletes is another
crucial part in prevention. The program aims to provide education to those at the highest risk
for developing an eating disorder as a prophylactic. The Victory Program for prevention is
overall a multidisciplinary program that provides education on risks, symptoms, and warning
signs for both coaching staff and athletes (Thompson, 2019).
The ATHENA Program.
Another specific program identified from the literature review is the ATHENA
program. This program is an athlete centered program to prevent female athletes’ disordered
eating and body-shaping drug use, such as steroids and diet pills (Voelker & Galli, 2009;
Voelker & Petrie, 2021). Peers run the program and the content is gender specific (NEDA,
2018). The program is ran based on a group type of setting with 6 athletes in each group and
each group including one leader. The curriculum specifically targets modifiable risk and
protective factors related to eating disorders (Voelker & Galli, 2019). The program is
conducted during the athletes’ sport season and consists of 8 45-minute sessions integrated
into a team’s normal practice schedule. Topics such as: healthy sport nutrition, effective
exercise, drug use and other unhealthy behaviors’ effects on sport performance, media
images of females, and depression prevention are all discussed (Coelho et al., 2014; Voelker
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& Galli, 2009). The group leaders direct most of the group activities, however, all group
members participate in the interventions. The groups are peer run, but they can be facilitated
by a sport psychologist or a trained coaching staff member. Studies have indicated the
ATHENA program may assist with developing healthier eating behaviors, reducing the
number of athletes reportedly abusing diet pills, and reducing the behavior of vomiting to
lose weight (Mountjoy et al., 2018; Voelker & Galli, 2009).
General PE.
General prevention education interventions focus on providing elite female athletes,
coaching staff, and other multidisciplinary staff with basic performance education on diet,
nutrition, exercise, and weight ideals for their sport (Bunda & Bratu, 2016; Bruin, 2017;
Mountjoy et al., 2018; Voelker & Galli, 2019). This intervention is based on the belief that
the more athletes, coaches, and staff are educated on what diet and body type make a peak
performance, the less likely they are to make drastic changes to enhance their performance
(Chang, 2019; Rosa-Caldwell, 2018; Thompson, 2019). This assists athletes in challenging
the fallacy that the thinner an athlete is, the better they will perform (Mountjoy et al., 2018).
These types of prevention education programs can be conducted by a sport psychologist, a
coaching staff member, or an elite female athlete peer (Bruin, 2017; Thompson, 2019). The
general prevention education is written in a way that athletes and coaches can understand,
rather than from a psychologist’s perspective. Therefore, the information is direct, clear, and
basic.
The literature reflected the reality that athletes often engage in unhealthy eating
behaviors due to not knowing the behaviors were unhealthy (Bar et al., 2016; Mountjoy et
al., 2018). Education programs focusing on nutrition teach athletes that eating disorder
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behaviors lead to impairments in performance, which deters them from wanting to continue
the behaviors (Stranberg & Quatromoni, 2017). Coaching staff benefit from nutrition
education as well. If coaching staff are educated on proper nutrition, it may lead to them
identifying an athlete’s display of unhealthy eating behaviors (Power et al., 2020). This may
assist in coaching staff detecting, addressing, and intervening with an athlete developing
early unhealthy eating behaviors.
Table 4
Interventions Overview and Studies
Interventions Overview Studies
AM-CBT An intervention focused on identifying and restructuring illogical thoughts related to weight and exercise. This intervention can utilize dissonance-based training to assist in setting more realistic and healthier expectations of weight and health in sport.
Mountjoy et al., 2018; Thompson, 2019; Voelker & Galli, 2019; Sandgreen et al., 2020; Coelho et al., 2016; Chang, 2019; Stewart et al., 2019; Stewart et al., 2017; Voelker & Petrie, 2020; Bar et al., 2016; Stice et al., 2021; Stice et al., 2017
AM-HWI An intervention focusing on creating a sporting environment in which athletes are educated and are promoted to maintain a healthy weight for their peak performance in sport.
Voelker & Galli, 2019; Sandgreen et al., 2020; Coelho et al., 2016; Bar et al., 2016; Stice et al., 2021; Stice et al., 2017
VPMP A multidisciplinary approach that provides athletes and coaches with a specific training to ensure they are well educated about healthy weight, caloric intake, and appropriate amounts of exercise. It also focuses on challenging unrealistic goals and expectations in relation to an athlete’s weight and diet.
Conviser, 2018; Sandgreen et al., 2020; Coelho et al., 2016
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ATHENA A specific protocolized peer athlete program focused on preventing female athletes’ disordered eating and body- shaping drug use (such as steroids and pills). It is a peer run and focuses on group processing and a discussion of prevention topics.
Voelker & Galli, 2019; Coelho et al., 2016; Sandgreen et al., 2020
General PE An intervention focusing on providing elite female athletes, coaching staff, and other multidisciplinary staff with basic performance education on diet, nutrition, exercise, and weight ideals for their sport.
Mountjoy et al., 2018; Thompson, 2019; Voelker & Galli, 2019; Sandgreen et al., 2020; Coelho et al., 2016; Bundă & Bratu; 2016; Bruin, 2017); Power et al., 2020; Stranberg & Quatromoni, 2017; Rosa- Caldwell, 2019; Chang, 2019; Bar et al., 2016; Joy et al., 2016; Stice et al., 2021; Stice et al., 2017; Hines et al., 2019; Scott et al., 2019
Addressing Over-arching Research Questions
The results of this systematic literature review were broken into two categories:
protocolized prevention interventions and non-protocolized prevention interventions.
Protocolized prevention interventions included detailed and specific procedural interventions
that require the administration from a sport psychologist, specific training, and precise
directions to be executed. Non-protocolized prevention interventions included interventions
that did not require either a sport psychologist or specific training to be executed. The
literature included in this project indicated five effective eating disorder prevention
interventions that can be implemented by a sport psychologist and one that can be
implemented by coaching staff and/or peer athletes.
The four interventions conducted by sport psychologists included: athlete modified
cognitive-behavioral-dissonance-based interventions, athlete modified healthy weight
interventions, the Victory Program, and the ATHENA program. Each of these interventions
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and programs require a trained sport psychologist to either facilitate or conduct the specific
program or targeted intervention. The literature indicates that each protocolized prevention
intervention and program has its own level of effectiveness depending on several different
variables including but not limited to an athlete’s specific sport body ideal, the coaching
staff’s emphasis on healthy body image, level of individual competitiveness on the teams,
individualized perceived pressures for to perform well, and several others.
Non-protocolized prevention interventions included interventions that did not require
a trained sport psychologist to facilitate. Researchers have estimated that only 30-50 % of
Division I athletic programs contract with either full or part time sport psychologists (NCAA,
2018). Despite most professional sports teams having on-staff sports psychologists, it is
estimated that only 16% of athletes utilize sport psychology services due to ongoing stigma
associated with the service (Levine, 2019; Stranberg & Quatromoni, 2017). Sport
psychologists may not be accessible, have an established rapport with athletes, be supported
by coaching staff, or have the funding to run protocolized prevention intervention programs.
Therefore, it is important to acknowledge and identify non-protocolized prevention
interventions.
Which Eating Disorder Prevention Interventions Have Been Effective for Sport
Psychologists Working with the Athletic Population?
Analysis of the literature revealed that educational programs are the best method for
the primary prevention of eating disorders among coaching staff and peer athletes (Coelho et
al., 2014; Levine, 2019; Power et al., 2020; Scott et al., 2019; Stranberg & Quatromoni,
2017). This non-protocolized prevention intervention focuses on educating both athletes and
coaching staff on how to challenge attitudes, beliefs, and behaviors associated with eating
94
disorders, body image issues, and the unhealthy emphasis on leanness, learn early detection
for symptoms, and work towards destigmatizing the discussion around eating disorders
(Langmesser & Verscheure, 2019; Stranberg & Quatromoni, 2017). Bunda & Bratu (2016)
discussed the importance of early detection as being a key factor in primary prevention.
Appropriate prevention education programs would address this need. A major risk for
developing eating disorders involves an emphasis on a thin body ideal and its relationship to
the alleged improved athletic performance (Bruin, 2017; Mountjoy et al., 2018; Thompson,
2019). Coaching staff are urged to recognize that such an emphasis on bodyweight, thinness,
disregarding athlete’s health, and promoting a body negative environment may be the most
important factor in developing an eating disorder (Bunda & Bratu, 2016; Bruin, 2017;
Thompson, 2019). Therefore, it is encouraged that coaching staff promote a healthy and
positive environment for athletes to establish realistic body ideals, goals, and expectations
(Frogley et al., 2018; Langmesser & Verscheure, 2019).
Why are These Interventions Effective?
The literature indicates that prevention interventions may be more effective if they
address specific risk factors that are sport specific (Langmesser & Verscheure, 2019).
Athletes participating in sports that believe in a thin ideal appeared to be more receptive to
cognitive behavioral dissonance based and healthy weight prevention interventions (Bar et
al., 2016; Conviser et al., 2018; Fewell et al., 2018). Female athletes participating in
endurance-based sports, such as marathon running, seemed to be more receptive to healthy
weight and cognitive behavioral prevention interventions (Fewell et al., 2018; Frogley et al.,
2018; Langmesser & Verscheure, 2019). The Victory Program was effective in reducing
eating disorder behaviors among female athletes participating in the highest-risk sports that
95
emphasize appearance, weight requirements, and thinness (i.e.: gymnastics, diving, figure
skating, and ballet) (Bar et al., 2016; Bruin, 2017; Thompson, 2019; Voelker & Galli, 2009;).
This may be due to the program providing a multidisciplinary staff that provides a high level
of support for its participants (Conviser et al., 2018; Stewart et al., 2017; Voelker & Galli,
2009). Females participating in sports that focus heavily on aesthetics, such as bodybuilding,
appeared to be more responsive to the ATHENA program (Voelker & Petrie, 2019). The
ATHENA program focuses on prevention of both eating disorders and body-shaping drug
use (such as steroids and diet pills); therefore, the athletes may have more success due to the
program being more relevant to their sport.
Researchers have indicated that non-protocolized prevention interventions have
shown to be effective with athletes (Mountjoy et al., 2018; Sangreen et al., 2020; Voelker &
Galli, 2019;). Educating coaching staff and peers about eating disorder behaviors has proven
successful with preventing eating disorders due to coaching staff members and other athletes
becoming cognizant of warning signs and symptoms of eating disorders (Hines et al., 2019;
Rosa-Caldwell, 2018; Scott et al., 2019). Coaching staff and peers looking out for warning
signs, symptoms, and cognitions related to eating disorder tend to offer earlier intervention
prior to the athlete having a full-blown eating disorder (Chang, 2019; Joy et al., 2016).
Coaching staff and peers who promote a culture in which seeking help for an eating disorder,
discussion of the topic, and destigmatizing mental health and eating disorders, tend to see
less of a prevalence of eating disorders among their fellow athletes (Stranberg &
Quatromoni, 2017). The literature indicates that more prevention education coaching staff
and athletes have, the more likely early interventions will be implemented by coaching staff
and peers.
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Discussion of Findings
Although contradictory findings were found regarding effective sport psychology
prevention interventions, the consensus is that all protocolized and non-protocolized
prevention interventions were more effective than control groups at lowering athlete reported
symptoms related to eating disorders. Despite contradictory findings, the overall suggestions
indicated that AM-CBT and AM-HWI were the most effective protocolized interventions for
preventing eating disorders among female elite athletes participating in individual sports. The
literature concluded that prevention education was the most effective non-protocolized
intervention. It is speculated that the non-protocolized intervention is highly effective due to
the low cost, accessibility to coaching staff and peers, and the critical role that coaches and
peers play in influencing athletes (Voelker & Galli, 2019). Overall, the literature provided
enough evidence to create possible suggestions for eating disorder prevention interventions
not only among sport psychologists but also among coaching staff and peers.
Overall Suggestions for Preventing Eating Disorders Among Athletes
Suggestions collected from the participants in the 21 studies were consistent with the
themes. The suggestions also included the need to destigmatize the discussion and thoughts
around eating disorders, focus on extending prevention education for family members and
athletes’ loved ones, change the culture around the myths and beliefs about weight in female
sports, and include more sport psychologists on staff. More sport psychologists on staff could
assist more athletes and teams receiving prevention interventions that are only implemented
by highly trained sport psychologists. Other suggestions included coaching staff having
specific eating disorder prevention protocols for when they identify an athlete who may be
experiencing warning signs or symptoms. Other suggestions gleaned from the studies
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proposed that coaching staff immediately correct any misinformation about healthy body
weight, healthy ways to lose weight, and around the suggested appropriate amount of
exercise for peak performance (Chang, 2019; Hines, 2019; Stranberg & Quatromoni, 2017).
Coaching staff correcting athletes should start at a young age to assist in educating athletes
sooner rather than later. Considering the important role that coaches and athletes have on
each other when it comes to preventing eating disorders, it is crucial for information to be
accessible and readily available. There is a lack of available information about eating
disorders that provides coaches and athletes with information such as warning signs and risk
factors of an eating disorder (Chang 2019; Thompson, 2019). Given this need, this project
focused on utilizing the findings to create a pamphlet with prevention education.
Unexpected Findings
There were also unexpected findings found while this researcher conducted this SLR.
The research collected suggested that any type of protocolized or non-protocolized
prevention was more effective with preventing an eating disorder when compared to no
treatment in elite female athletes. Nevertheless, there were conflicting reports on whether
prevention protocols were effective for non-elite athletes. This may have been due to an
overall lack of research on the non-elite athletic population.
Several studies also contradicted each other by concluding AM-CBT was more
effective than AM-HWI interventions. However, there were several studies suggesting that
AM-HWI was more effective than AM-HWI (Power et al., 2020; Thompson, 2019). This
may have been due to the types of athletes being assessed. The interventions may be sport
specific, therefore, one sport may have success with one prevention intervention while the
other may not. Another thing to consider is individual factors. Certain individuals may have a
98
predisposition to respond better to one prevention intervention versus the other. Further
research should focus on determining what factors make AM-HWI or AM-CBT more
effective for certain athletes.
Additional studies indicated there were no other effective prevention studies with
preventing eating disorders among elite individual sport female athletes. However, these
studies were based on interview responses from elite athletes who had not yet experienced
either a protocolized or non-protocolized prevention intervention (Bar et al., 2016; Coelho et
al., 2016; Voelker & Galli, 2019). If an athlete has not received the treatment, it is an
assumption to state that the intervention works or doesn’t work. Anecdotal evidence and
personal opinion is not a credible resource to determine if there are any effective eating
disorder prevention interventions.
Importance of Findings for Research and Practice
It is important to review the conceptual framework of this SLR to fully understand the
importance of the findings for research and practice. Female participation in sports has
increased remarkably since the institution of Title IX in 1972. This has led to higher levels of
competition within women’s sports (National Collegiate Athletic Association, 2018). If Title
IX did not exist then perhaps there would be less athletes competing, which could possibly
lower levels of competition. Therefore, Title IX impacts the level of competition and level of
pressure elite female athletes experience. Biological factors related to being a female put
women, in general, at a higher risk of developing an eating disorder (NEDA, 2018).
However, there are also risk factors specific to athletes that increase an athlete’s risk of
developing an eating disorder (such as level of competition, motivation to win, and the
sport’s perception on low body weight and performance) (Bruin et al., 2018). Researchers
99
have supported the belief that female athletes experience a higher rate of eating disorders
than the general population due to these risk factors both adding up (De Bruin & Oudejans,
2018; Frogley et al., 2018). Prevention science is another important concept for this SLR.
Prevention interventions aim to counteract risk factors and reinforce protective factors to
disrupt processes that contribute to human dysfunction (Brady et al., 2020).
This project was developed based on the prevention science theory, which focuses on
a preventative approach that aims to address risk factors to combat the high prevalence rate
of athletes diagnosed with eating disorders. Despite the high prevalence rate of eating
disorders among female athletes, there is a lack of research on prevention interventions. This
project was conducted to address the lack of eating disorder prevention studies among female
athletes. This SLR attempted to clarify the conflicting information around whether
prevention protocols are helpful with preventing eating disorders among the elite female
athlete population, and to determine which interventions were most effective.
This SLR is important to the field of sport psychology because it summarizes current
studies that have researched whether prevention intervention protocols are effective with elite
athletes struggling with eating disorders. This adds to the body of knowledge in the field by
summarizing and synthesizing the few studies that exist on eating disorder prevention among
elite female athletes participating in individualized sports. The sport psychology field
currently lacks best practices for eating disorder prevention among elite female athletes. The
information gleaned from the studies indicate that there are specific sport psychologist
protocolized prevention interventions that are effective for preventing eating disorders (such
as AM-CBT and AM-HWI) (Caldwell, 2019). The research converges regarding general
prevention education being helpful for coaches and athletes; as it has been established that
100
coaches and athlete’s education on eating disorders are considered preventative factors (Bar
et al., 2016; Coelho et al., 2016; Stice, 2017). These findings also converge with the previous
findings that AM-CBT and AM-HWI have been effective for eating disorder prevention
among athletes. Due to the limitations of this project, it was not determined whether AM-
CBT or AM-HWI is most effective for eating disorder prevention among elite female
athletes. The data collected from this SLR indicated general prevention education was found
to be the most effective non-protocolized prevention intervention. This is helpful for the
field, as sport psychologists not fully trained for protocolized interventions can utilize non-
protocolized interventions. Also, a sport psychologist working with a team that cannot afford
protocolized interventions has another option that will still make an impact on combating the
prevalence rate of eating disorders among elite female athletes.
The findings of this project were utilized to assist sport psychologists provide
coaching staff and athlete peers with prevention education. A pamphlet was created based on
the data collected from this SLR. The pamphlet provides basic prevention education focusing
on athletes. It includes the role coaches and athletes play in eating disorder prevention, risk
factors for athletes, warning signs of an eating disorder, how to intervene as a coach and
peer, overall tips for coaches and athletes, and it includes national prevention resources for
athletes. This pamphlet was created to assist in making eating disorder prevention education
more accessible to coaches and athletes.
Recommendations
The final section of this chapter discusses limitations of the project and implications
for practice. The limitation for this project pertained to the generalizability as well as the
potential of researcher bias. The implication of researcher bias was addressed using
101
reflexivity and epoche. A reflection of the researcher’s experience with the SLR process was
included to ensure transparency and limit bias. The implications for generalizability included
placing the findings from the systematic literature review in the context of the elite female
individual-sport athlete population. The practical implications and application of project
themes that emerged from the findings are presented in the proposed pamphlet in the
Appendix.
Limitations of the Study
There were two limitations of this study related to the generalizability and validity of
the findings on eating disorder prevention amongst the elite female individual sport
population. There was minimal published literature that included research about elite
individual sport female athletes. (Bar et al., 2016). This population was chosen as it was
identified to be the highest risk population for developing an eating disorder, (Frogley et al.,
2018; Koman, 2018; Papathomas & Capicotto, 2017; Roy et al., 2019. This project likely
lacks generalizability due to the population being so specific. It is not known whether the
prevention interventions will work with more generalized athletes (i.e. males, non-elite
athletes, young athletes, athletes participating in team sports, etc.). While the findings had
generalizability for the highest risk population of athletes, it may lack generalizability for
athletes.
While the articles reviewed included mostly Division I NCAA athletes; the diversity
in race and culture resulted in some inconsistent and conflicting findings. For example,
despite Black athletes are 50% more likely than white athletes to exhibit bulimic behavior but
are less likely to be diagnosed with eating disorders than white athletes (NEDA, 2018). This
may be due to athletes who identify as people of color being significantly less likely than
102
white athletes to be asked about eating disorder symptoms (Becker et al., 2003; Hines et al.,
2019). Eating disorders tend to present differently in Black females than white females,
therefore the results of the prevention interventions may not have been valid. This project
focused on the highest risk elite women’s sports such as the following individual sports:
gymnastics, distance running, figure skating, dance, bodybuilding, diving, etc. According to
NCAA Race and Gender Demographics for the academic year of 2018, less than 2% of Black
athletes and 6% of other athletes of color participated in the identified individual sports.
While findings from this literature review indicated that most interventions were effective
with prevention, one must be cautious of generalizing the findings of this project across all
races and remain cognizant of the cultural and racial considerations when studying eating
disorder prevention interventions.
Researcher Bias
The trustworthiness of this systematic literature review was based on the principled
actions of the researcher. Researcher bias in evaluating the findings of this project was
considered to ensure trustworthiness in this project. The researcher’s closeness to the topic of
eating disorders among the athletic population likely resulted in having more knowledge and
experience with eating disorder prevention interventions than the public. The researcher’s
experiences could have affected the interpretation of the results. Bias was mitigated through
reflexivity and practices of bracketing and epoche throughout the PRISMA process,
interpretation and presentation of findings, and data production that were integrated into the
general prevention education pamphlet. Reflexivity was practiced through the researcher
using a journal to track the research process. The journal was reviewed and checked for bias
throughout the research process. Ensuring fidelity and commitment to the use of bracketing
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permitted the researcher to set aside personal biases, presumptions, theories, and previous
experiences with eating disorder prevention interventions among the athletic population. A
master data collection chart was created as a bracketing technique. The data was transferred
directly from the literature to the chart without room for personal biases, experiences, or
assumptions.
Implications for Practice
This project may help the sport psychology field by highlighting the gap in research
regarding identifying the best sport psychology practices for preventing eating disorders
among the elite female athlete population. The findings of this SLR may assist sport
psychologists, coaching staff, and athlete peers in becoming more informed about effective
eating disorder prevention programs. Elite female athletes are at a high risk of developing an
eating disorder; therefore, the more sport psychologists, coaches, and peer athletes know
about prevention, the more interventions efforts can be made (Bar et al., 2016; Conviser et
al., 2018).
The Protocol Pamphlet: Extending Knowledge and Practice
The protocol pamphlet created from the findings of this project is proposed as a
medium to promote the sharing of evidence-based knowledge and resources for best practices
for prevention eating disorders among the elite female individual-sport population (see
Appendix). The goal of the pamphlet is to integrate the findings from this SLR and make the
knowledge more accessible to athletes and athletic support staff. The pamphlet will be shared
with athletes, coaching staff, and sport psychologists. The pamphlet provides coaching staff
and athletes education on the role coaches and athletes play in eating disorder prevention,
risk factors for athletes, warning signs of an eating disorder, how to intervene as a coach and
104
peer, overall tips for coaches and athletes, and it includes national prevention resources for
athletes. A pamphlet was chosen to provide education as it is low cost, easily accessible (can
be left in a locker room or be found online) and can reach individuals in need of education.
Recommendations for Future Research
Based on the findings and limitations of this project, future research should be
conducted determine the most effective eating disorder prevention interventions among the
elite female individual-sport population. Researchers have indicated which eating disorder
prevention interventions are effective. However, additional research would assist in
determining which interventions are most effective. For example, a study utilizing the five
different types of preventions could be conducted to measure which preventions led to higher
efficacy rates. More research should be conducted on elite female athletes, as the number of
studies are limited.
Several studies have contradicted one another regarding whether prevention protocols
help prevent eating disorders among athletes. One potential reason for the conflicting
literature could be due to prevention interventions being sport specific. Therefore, it may be
helpful to conduct research on which preventions are effective for specific sports and not
others. Another helpful direction of research would be to explore not only whether a
prevention is effective for a specific sport but determine the level of efficacy for each sport
for each specific intervention.
Longitudinal research should be conducted to conclude how long preventative
interventions are successful for elite female athletes and to determine ways to maintain the
positive effects of each effective protocol. This information could contribute to the field by
assisting sport psychologists, coaches, and trainers in having more education and knowledge
105
on preventative interventions and strategies when working with elite female athletes
participating in individual-sports.
Another recommendation for future research would be to include research on male
athletes as well as marginalized groups such as elite athletes that identify as people of color
or transgendered athletes. Researchers could include these populations when identifying
which sport psychology interventions are most effective for prevention eating disorders
amongst the general elite athletic population. This future research could answer the research
question focusing on which sport psychology eating disorder prevention intervention is most
effective in general with preventing eating disorders among the elite athletic population.
Conclusion
The purpose of this systematic literature review was to explore what sport psychology
preventative interventions are effective for eating disorders within elite female individual-
sport athletes, and to create best-practice recommendations for preventing eating disorders
among this population. This project gathered peer-reviewed research on the efficacy of
current sport psychology prevention interventions implemented with elite female athletes.
The results of this project informed a protocol pamphlet to educate sport psychologists,
athletes, and coaching staff on sport psychology eating disorder prevention interventions.
This chapter was divided into three sections: This chapter presents the findings of this
systematic literature review (SLR) through three sections: (a) literature collection, (b) an
evaluation of the findings, and (c) future recommendations. The population being studied
was elite female athletes participating in individual sports (i.e.: gymnastics, distance running,
figure skating, dance, bodybuilding, diving, etc.). Two main themes emerged from the peer-
106
reviewed literature which included protocolized prevention interventions and non-
protocolized prevention interventions.
Overall, both protocolized and non-protocolized prevention programs were effective
at preventing athletes from being diagnosed with an eating disorder and it most programs led
to a reduction in athlete’s having less eating disorder symptoms in general (Bar et al., 2016;
Conviser et al., 2018; Fewell et al., 2018). However, with less athletic programs having on-
site sport psychologists that are specifically trained in the protocolized interventions, it is
encouraged to push for non-protocolized prevention interventions as this can be more cost
effective, athletes may trust their coaches providing them with education versus a sport
psychologist with whom they do not have rapport, and it is less time consuming. These
findings were determined to be central to creating an educational pamphlet to educate sport
psychologists, athletes, and coaching staff on general eating disorder prevention education to
assist in addressing the high prevalence rate of elite individual sport athletes diagnosed with
eating disorders. Coaches and peer to peer athletes educating each other and continuing to
advance the discussion on the dangers of eating disorders in the athletic setting can provide a
safe environment to assist in destigmatizing athletes seeking help for eating disorders and can
lead to lowering the prevalence rate overall.
Appendix- Eating Disorder Prevention Education for Athletes and Coaching Staff
ABOUT
The outcomes from this SLR revealed non-protocolized interventions, such as general
prevention education for coaching staff and peer athletes, have shown to also be effective.
107
This is a pamphlet with basic prevention education for coaches and athletes to assist them
with identifying risk factors, learning warning signs, and knowing how to intervene.
108
Appendix (Cont.) - Eating Disorder Prevention Education for Athletes and Coaching Staff
109
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- CHAPTER I: INTRODUCTION
- General Statement
- Justification Statement
- Purpose of the Project
- Importance of the Project
- Conceptual Framework
- Rise in Female Sport Participation
- General Risk Factors for Eating Disorders
- The Concept of Prevention Science
- Overview of the Project Approach
- Project Questions
- Definition of Terms
- Assumptions, Limitations, and Delimitations
- Assumptions
- Limitations
- Delimitations
- Summary
- CHAPTER II: REVIEW OF THE LITERATURE
- Search Strategy
- Summary of Sources
- Eating Disorders
- Historical Examples of Eating Disorders
- Diagnostic History of Eating Disorders
- Common Medical Complications of Eating Disorders
- Common Behavioral and Psychological Characteristics of Eating Disorders
- Prevalence Rates and High-Risk Populations
- Eating Disorders Among Athletes
- Athlete Risk Factors
- Athlete Health and Performance Concerns
- Highest-Risk Athletes
- Elite Female Individual Sport Athlete Risk Factors Leading to the Need for Prevention
- Sport Psychologists Addressing the Need for Prevention
- Women’s Participation in Sports
- History of Title IX and Growth of Women’s Sports
- Impact of Women in Athletics
- Implications of Growth in Women’s Sports
- Prevention Science Framework
- Classification of Prevention
- Prevention Science and Eating Disorders
- High-Risk Population
- Elite Female Individual-Sport Athletes and Prevention Science
- Knowledge Gaps
- Lack of Studies on High-Risk Female Athletes and Prevention
- Prevalence Rates
- Summary
- CHAPTER III: Project Approach
- Project Approach
- Over-arching Research Questions
- Population and Sample
- Ethical Concerns
- Literature Collection
- Inclusion Criteria
- Exclusion Criteria
- Analysis of Literature
- Trustworthiness and Quality of Results
- Summary
- CHAPTER IV: FINDINGS AND RECOMMENDATIONS
- Findings
- Sample
- Sample and PRISMA Protocol
- Literature/Sample Collection
- Data Collection
- Literature Search Results
- Evaluation of Findings
- Themes
- Description of Themes
- AM-CBT Intervention.
- AM-HWI Intervention.
- VPMP Intervention.
- The ATHENA Program.
- General PE.
- Addressing Over-arching Research Questions
- Which Eating Disorder Prevention Interventions Have Been Effective for Sport Psychologists Working with the Athletic Population?
- Why are These Interventions Effective?
- Discussion of Findings
- Overall Suggestions for Preventing Eating Disorders Among Athletes
- Unexpected Findings
- Importance of Findings for Research and Practice
- Recommendations
- Limitations of the Study
- Researcher Bias
- Implications for Practice
- The Protocol Pamphlet: Extending Knowledge and Practice
- Recommendations for Future Research
- Conclusion
- Appendix- Eating Disorder Prevention Education for Athletes and Coaching Staff
- Appendix (Cont.) - Eating Disorder Prevention Education for Athletes and Coaching Staff
- References