Evidence map›Paper›PMID 32733166›Full record

ArticlePsychology of sport and exercise2020

Development and Validation of the Eating Disorders Screen for Athletes (EDSA): A Brief Screening Tool for Male and Female Athletes.

Vivienne M Hazzard, Lauren M Schaefer, Allison Mankowski, Traci L Carson, Sarah M Lipson, Claire Fendrick, Ross D Crosby, Kendrin R Sonneville

Abstract read
In one paragraph

Article in Psychology of sport and exercise, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  13. The Athlete's Paradox: Adaptable Depression.Sports (Basel, Switzerland) · 2022
    Article
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  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Vivienne M HazzardUniversity of Michigan School of Public Health, Ann Arbor, MI.
Lauren M SchaeferSanford Center for Biobehavioral Research, Fargo, ND.
Allison MankowskiEastern Michigan University Athletics, Ypsilanti, MI.
Traci L CarsonUniversity of Michigan School of Public Health, Ann Arbor, MI.
Sarah M LipsonDepartment of Psychology, Harvard University, Cambridge, MA.
Claire FendrickUniversity of Michigan School of Public Health, Ann Arbor, MI.
Ross D CrosbySanford Center for Biobehavioral Research, Fargo, ND.
Kendrin R SonnevilleUniversity of Michigan School of Public Health, Ann Arbor, MI.

Funding

Regional Postdoctoral Training Grant in Eating Disorders ResearchT32MH082761 · NIMH · UNIVERSITY OF MINNESOTA · PI CAROL B. PETERSON · 2009 to 2026
$6.2M
NIMH NIH HHS T32 MH082761
6 · The paper itself

Abstract

objectivesTo develop and validate the Eating Disorders Screen for Athletes (EDSA), a brief eating disorders screening tool for use in both male and female athletes.

methodsData from Division I athletes at a Midwestern university (

resultsA 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).

conclusionsThe EDSA shows promise as a brief screening tool to identify male and female athletes at risk for eating disorders.

Indexed as

AthletesFeeding and Eating DisordersPsychometrics

Identifiers

PMID32733166
PMCPMC7392177

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.