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Objectives: To examine whether higher weight status is associated with increased eating disorder risk in athletes., Design: Study 1 used cross-sectional (N = 942) and longitudinal (N = 483) data collected over a five-year period from Division I athletes at a Midwestern university. Study 2 used cross-sectional data from athletes competing at various levels at universities across the United States (N = 825)., Methods: Weight and height were measured in Study 1 and self-reported in Study 2; higher weight was defined as body mass index ≥ 25 kg/m 2 . Eating disorder risk was assessed with preliminary (Study 1) and final (Study 2) versions of the Eating Disorders Screen for Athletes. Study 1 examined weight status in relation to both concurrent and one-year changes in Eating Disorder Screen for Athletes score. Study 2 examined weight status in relation to both the Eating Disorders Screen for Athletes score and elevated eating disorder risk using the established Eating Disorders Screen for Athletes cut-off. All models adjusted for gender and sport type; Study 2 additionally adjusted for race/ethnicity, age, and competition level., Results: Across studies, higher weight status was significantly associated with increased eating disorder risk among athletes. This association was observed both cross-sectionally and longitudinally, and the prevelence of elevated eating disorder risk was 43 % greater among athletes with higher weight status than among those without higher weight status., Conclusions: Despite existing stereotypes that eating disorders tend to occur with low weight status, findings highlight the importance of screening all athletes for eating disorders, regardless of their weight status., Competing Interests: Declaration of interest statement The authors of this manuscript have no declarations of interest to disclose., (Published by Elsevier Ltd.)

Due to stigma, eating disorders are under-researched, underdiagnosed and undertreated among men. This is particularly pertinent among athletes, as athletic goals are a major risk factor for disordered eating in men. This gender stereotype may be reinforced by eating disorder risk assessment tools that better reflect female symptoms. We examine an eating disorder risk assessment questionnaire in a population of athletes to assess both (1) gender bias in individual items and (2) gender differences on a cognitive and behavioral subscale, identified through a factor analysis. Controlling for eating disorder risk, we found that female gender significantly predicted high risk scores on four items; male gender significantly predicted high risk scores on four other items. We also found that women were more likely to score above the median on a cognitive subscale than men with the same level of eating disorder risk, while men were more likely to score above the median on a behavioral subscale. These results may be applied practically to allow eating disorder risk assessment tools to better capture eating disorder risk independent of gender. These methods may be applied to other questionnaires and other social identities, to expand the scope of eating disorder research and treatment.

To develop and validate the Eating Disorders Screen for Athletes (EDSA), a brief eating disorders screening tool for use in both male and female athletes. Methods : Data from Division I athletes at a Midwestern university (N = 434) were used to conduct exploratory factor analysis (EFA) by gender. Data from athletes competing at various levels at universities across the United States (N = 862) were then used to conduct confirmatory factor analysis (CFA) and receiver operator characteristic (ROC) curve analysis by gender. Athletes from a range of lean and non-lean sports were included. Gender-specific empirically derived cut-offs on the Eating Disorder Examination-Questionnaire were used to classify high eating disorder risk for ROC curve analysis. Measurement invariance by gender, level of competition, and sport type was also examined. Results: A six-item, one-factor structure for the EDSA was supported by EFA and CFA in both genders, and internal consistency was good for both male (α = 0.80) and female athletes (α = 0.86). ROC curve analyses indicated that the EDSA was highly accurate in predicting eating disorder risk status and identified a score of 3.33 as the optimal cut-off for both male (sensitivity = 0.96, specificity =.80) and female athletes (sensitivity = 0.96, specificity =.64). Results also supported strong measurement invariance for the EDSA by gender, level of competition (Division I versus club), and sport type (lean versus non-lean). Conclusions: The EDSA shows promise as a brief screening tool to identify male and female athletes at risk for eating disorders. • A brief eating disorders screening tool was developed for male and female athletes. • The Eating Disorders Screen for Athletes (EDSA) is comprised of 6 items. • Internal consistency was good for male and female athletes. • The EDSA was highly accurate in predicting eating disorder risk status. • The EDSA was invariant across gender, level of competition, and sport type. [ABSTRACT FROM AUTHOR]