Hazzard Vivienne M, Schaefer Lauren M, Mankowski Allison, Carson Traci L, Lipson Sarah M, Fendrick Claire, Crosby Ross D, Sonneville Kendrin R
University of Michigan School of Public Health, Ann Arbor, MI.
Sanford Center for Biobehavioral Research, Fargo, ND.
Psychol Sport Exerc. 2020 Sep;50. doi: 10.1016/j.psychsport.2020.101745. Epub 2020 Jun 18.
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.
Data from Division I athletes at a Midwestern university (=434) were used to conduct exploratory factor analysis (EFA) by gender. Data from athletes competing at various levels at universities across the United States (=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.
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).
The EDSA shows promise as a brief screening tool to identify male and female athletes at risk for eating disorders.
开发并验证运动员饮食失调筛查量表（EDSA），这是一种用于男女运动员的简短饮食失调筛查工具。
来自美国中西部一所大学的一级运动员（n = 434）的数据用于按性别进行探索性因素分析（EFA）。随后，来自美国各大学不同水平参赛运动员（n = 862）的数据用于按性别进行验证性因素分析（CFA）和接受者操作特征（ROC）曲线分析。纳入了一系列不同体重级别和非体重级别运动项目的运动员。使用饮食失调检查问卷中按性别经验性得出的临界值对ROC曲线分析中的高饮食失调风险进行分类。还检验了该量表在性别、比赛水平和运动项目类型方面的测量不变性。
EFA和CFA均支持EDSA的六项目单因素结构，男性（α = 0.80）和女性运动员（α = 0.86）的内部一致性均良好。ROC曲线分析表明，EDSA在预测饮食失调风险状态方面具有高度准确性，并确定3.33分为男性（敏感性 = 0.96，特异性 = 0.80）和女性运动员（敏感性 = 0.96，特异性 = 0.64）的最佳临界值。结果还支持EDSA在性别、比赛水平（一级联赛与俱乐部）和运动项目类型（体重级别与非体重级别）方面具有很强的测量不变性。
EDSA有望成为一种简短的筛查工具，用于识别有饮食失调风险的男女运动员。
