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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Working out measurement overlap in the assessment of maladaptive exercise
The International journal of eating disorders, v 57(3), pp 558-567
Mar 2024
PMID: 38221645
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
ObjectiveAlthough exercise is generally considered healthy, many individuals engage in maladaptive exercise (e.g., compulsive in nature). Several definitions of maladaptive exercise exist, leading to multiple, varied assessment tools; assuming homogeneity across these assessments contributes to low consensus in etiological models.MethodWe used a Jaccard Index to quantify content overlap among 15 commonly-used self-report instruments measuring maladaptive exercise, with 31 features identified across 224 items.ResultsThe most common features were exercise to control weight/shape and to avoid negative affect (both included in 9/15 instruments), or compensate for calories consumed (8/15 instruments). Overlap among instruments was low (.206) and no features were common across all instruments.ConclusionsFindings generally support theoretical models of exercise in eating pathology. However, instruments most commonly used to assess maladaptive exercise measure heterogenous content. Careful consideration should be taken when comparing findings derived from differing instruments, when synthesizing literature on maladaptive exercise, and when selecting instruments to measure specific maladaptive exercise features.Public SignificanceMany, varied, tools exist for the assessment of maladaptive exercise (e.g., compulsive or compensatory) in the context of eating disorders. Assuming homogeneity across tools contributes to low consensus in the field. We used a Jaccard Index to quantify content overlap among 15 self-report instruments measuring maladaptive exercise. The most commonly used instruments measure heterogenous content. Careful consideration should be taken when synthesizing literature and selecting instruments to use in research.
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Details
- Title
- Working out measurement overlap in the assessment of maladaptive exercise
- Creators
- Elizabeth W. Lampe - Drexel University, Psychological and Brain Sciences (Psychology)Katherine Schaumberg - University of Wisconsin–MadisonDavid Kolar - University of RegensburgKathryn Coniglio - Rutgers, The State University of New JerseyMarita Cooper - Children's Hospital of PhiladelphiaDanielle A. N. Chapa - University of PittsburghSasha Gorrell - University of California, San Francisco
- Publication Details
- The International journal of eating disorders, v 57(3), pp 558-567
- Publisher
- Wiley
- Number of pages
- 10
- Grant note
- National Institute of Mental Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Mental Health (NIMH)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:001142095800001
- Scopus ID
- 2-s2.0-85182461962
- Other Identifier
- 991021861177304721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Nutrition & Dietetics
- Psychiatry
- Psychology
- Psychology, Clinical