OBJECTIVES: 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=. 80) and female athletes (α=.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=.96, specificity=.80) and female athletes (sensitivity=.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.
OBJECTIVES: 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=. 80) and female athletes (α=.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=.96, specificity=.80) and female athletes (sensitivity=.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.
Entities:
Keywords:
Athletes; Feeding and Eating Disorders; Psychometrics
Authors: Rachael E Flatt; Laura M Thornton; Ellen E Fitzsimmons-Craft; Katherine N Balantekin; Lauren Smolar; Claire Mysko; Denise E Wilfley; C Barr Taylor; J D DeFreese; Anna M Bardone-Cone; Cynthia M Bulik Journal: Int J Eat Disord Date: 2020-11-30 Impact factor: 4.861