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Athlete Identity and Eating Pathology in Distance Runners: When Compulsive Exercise Matters

Sasha Gorrell and Drew A. Anderson

, & Carter, 2010 ; Sundgot-Borgen & Torstveit, 2004 ). Runners may be at increased risk for ED pathology due to certain psychosocial factors, including compulsive exercise ( Meyer, Taranis, Goodwin, & Haycraft, 2011 ). Some work has conceptualized compulsive exercise as ‘obligatory,’ with links to ED

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Predictive Factors for Compulsive Exercise in Adolescent Athletes: A Cross-Sectional Study

Martine Fortier, Christopher Rodrigue, Camille Clermont, Anne-Sophie Gagné, Audrey Brassard, Daniel Lalande, and Jacinthe Dion

Exercise is generally considered an important part of healthy lifestyle, but in some individuals, it may become compulsive and overly time-consuming, thereby negatively impacting their quality of life ( Symons Downs et al., 2019 ). Notably, compulsive exercise is defined as a “rigid and highly

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The Role of Ego Networks in Compulsive Exercise Behavior Among a Sample of College Sorority Women

Megan S. Patterson and Patricia Goodson

Compulsive exercise typically describes a rigid pattern of exercise, often performed despite negative consequences. Compulsive exercisers report intense feelings of guilt at any missed exercise sessions and are frequently concerned with weight and shape. 1 , 2 Thus, compulsive exercise often leads

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Using Social Network Analysis to Better Understand Compulsive Exercise Behavior Among a Sample of Sorority Members

Megan S. Patterson and Patricia Goodson


Compulsive exercise, a form of unhealthy exercise often associated with prioritizing exercise and feeling guilty when exercise is missed, is a common precursor to and symptom of eating disorders. College-aged women are at high risk of exercising compulsively compared with other groups. Social network analysis (SNA) is a theoretical perspective and methodology allowing researchers to observe the effects of relational dynamics on the behaviors of people.


SNA was used to assess the relationship between compulsive exercise and body dissatisfaction, physical activity, and network variables. Descriptive statistics were conducted using SPSS, and quadratic assignment procedure (QAP) analyses were conducted using UCINET.


QAP regression analysis revealed a statistically significant model (R 2 = .375, P < .0001) predicting compulsive exercise behavior. Physical activity, body dissatisfaction, and network variables were statistically significant predictor variables in the QAP regression model.


In our sample, women who are connected to “important” or “powerful” people in their network are likely to have higher compulsive exercise scores. This result provides healthcare practitioners key target points for intervention within similar groups of women. For scholars researching eating disorders and associated behaviors, this study supports looking into group dynamics and network structure in conjunction with body dissatisfaction and exercise frequency.

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How to Help the Athlete with Bulimia: Practical Tips and a Case Study

Nancy Clark

Surveys suggest that 8 to 41% of athletes may struggle with binge/purge and bulimic eating behaviors. Many of these athletes with bulimia struggle alone, receiving no professional help for recovery. This article offers effective counseling strategies for nutrition professionals who want to help bulimic athletes. Through a case study of a triathlete who binges, and then purges through compulsive exercise, a nutrition care plan is discussed that addresses the food and weight concerns commonly expressed by athletes with bulimia. The priorities of the care plan are to reduce preoccupation with weight, establish a pattern of regular eating, and address the underlying causes of the binges. The case demonstrates that nutrition counseling is only one part of the treatment program, and emphasizes the importance of developing a team of health professionals to assist athletes with bulimia.

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Eating Disorders in Sport: Comparing Eating Disorder Symptomatology in Athletes and Non-Athletes During Intensive Eating Disorder Treatment

Laura K. Fewell, Riley Nickols, Amanda Schlitzer Tierney, and Cheri A. Levinson

rate of approximately 2% ( Ruscio, Stein, Chiu, & Kessler, 2010 ). Notably, rates of OCD among athlete patients and non-athlete patients with EDs have not been studied. Such findings may further inform the specifics of treatment for this population. Compulsive Exercise Compulsive exercise is another

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Development and Initial Evaluation of the Athlete Eating Psychopathology Observation Questionnaire for Sport Professionals

Sebastian S. Sandgren, Emma Haycraft, and Carolyn R. Plateau

Athletes are at a heightened risk for the development of eating psychopathology, including disordered eating and unhealthy exercise (e.g., food restriction, occasional bingeing/purging, compulsive exercise) and clinical eating disorders (e.g., bulimia nervosa; Joy et al., 2016 ). Controlled

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Eating Disorders in Male Athletes: Factors Associated With Onset and Maintenance

Julie Freedman, Sally Hage, and Paula A. Quatromoni

former collegiate athletes, and reportedly experienced disordered eating and/or compulsive exercise behaviors. The participants ranged in age from 18 to 33 years old (mean age, 25.13 years), and they competed in a variety of sports (Table  1 ). The average duration of collegiate competition was 3

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Using Self-Determination Theory to Define Pathological Exercise

Kathryn A. Coniglio and Edward A. Selby

), .81 (Identified), and .94 (Intrinsic). In the MTurk sample, Cronbach’s α = .87 (External), .81 (Introjected), .79 (Identified), and .93 (Intrinsic). Compulsive Exercise Test The Compulsive Exercise Test ( Meyer et al., 2016 ) is a 24-item self-report measure that assesses the cognitive, behavioral

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Sociocultural Influences on Exercise Behaviors and Attitudes in Adolescence

Kalli A. Reynolds, Emma Haycraft, and Carolyn R. Plateau

groups, fasting, occasional binging ) and unhealthy, compulsive exercise behaviors. 12 , 13 Adolescence is therefore a critical time period when physical activity and exercise attitudes and behaviors can undergo significant changes. Understanding the influences that drive these changes is therefore of