Cited by 70Eating Disorders and BehaviorsNutrition, Health and Food BehaviorAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Reducing eating disorder onset in a very high risk sample with significant comorbid depression: A randomized controlled trial.

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Taylor, C. Barr, Kass, Andrea E., Trockel, Mickey, Cunning, Darby, Weisman, Hannah, Bailey, Jakki, Sinton, Meghan, Aspen, Vandana +3 more·2016·Journal of Consulting and Clinical Psychology

Abstract

OBJECTIVE: Eating disorders (EDs) are serious problems among college-age women and may be preventable. An indicated online eating disorder (ED) intervention, designed to reduce ED and comorbid pathology, was evaluated. METHOD: 206 women (M age = 20 ± 1.8 years; 51% White/Caucasian, 11% African American, 10% Hispanic, 21% Asian/Asian American, 7% other) at very high risk for ED onset (i.e., with high weight/shape concerns plus a history of being teased, current or lifetime depression, and/or nonclinical levels of compensatory behaviors) were randomized to a 10-week, Internet-based, cognitive-behavioral intervention or waitlist control. Assessments included the Eating Disorder Examination (EDE, to assess ED onset), EDE-Questionnaire, Structured Clinical Interview for DSM Disorders, and Beck Depression Inventory-II. RESULTS: ED attitudes and behaviors improved more in the intervention than control group (p = .02, d = 0.31); although ED onset rate was 27% lower, this difference was not significant (p = .28, NNT = 15). In the subgroup with highest shape concerns, ED onset rate was significantly lower in the intervention than control group (20% vs. 42%, p = .025, NNT = 5). For the 27 individuals with depression at baseline, depressive symptomatology improved more in the intervention than control group (p = .016, d = 0.96); although ED onset rate was lower in the intervention than control group, this difference was not significant (25% vs. 57%, NNT = 4). CONCLUSIONS: An inexpensive, easily disseminated intervention might reduce ED onset among those at highest risk. Low adoption rates need to be addressed in future research.

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  1. First MB Spitzer RL Gibbon M Williams JBW 2002 Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Patient Edition (SCID-I/P) New York Biometrics Research, New York State Psychiatric Institute

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Authors
Taylor, C. B., Kass, A. E., Trockel, M., Cunning, D., Weisman, H., Bailey, J., Sinton, M., Aspen, V., Schecthman, K., Jacobi, C., & Wilfley, D. E.
Affiliations
  • Stanford Medicine (US)
  • Washington University in St. Louis (US)
  • University of California, Santa Barbara (US)
  • William & Mary (US)
  • Technische Universität Dresden (DE)
Venue
Journal of Consulting and Clinical Psychology
Published
2016-05
Volume
84
Issue
5
Pages
402-414
ISSN
  • 0022-006X (ISSN-L)
  • 1939-2117
OpenAlex
W2335806301
Cited by
70
References
47
Citations by year
2026: 5 · 2025: 2 · 2024: 3 · 2023: 9 · 2022: 8 · 2021: 9 · 2020: 7 · 2019: 8 · 2018: 9 · 2017: 8 · 2016: 2
FWCI
12.05
Type
journal article
Language
en
Open access
Locations
  • Journal of Consulting and Clinical Psychology (publishedVersion, other-oa)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • W&M Publish (College of William & Mary) (submittedVersion)
Funders
National Institutes of Health (R01 MH081125, K24 MH070446, T32 HL007456, and T32 HS000078)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords
eating disorder prevention, eating disorder onset, comorbid depression, female university students, weight and shape concerns, teasing, compensatory behavior, online intervention, vulnerable populations
MeSH terms
Adult, Feeding and Eating Disorders, Depression, Depressive Disorder, Female, Humans, Middle Aged, Psychiatric Status Rating Scales, Surveys and Questionnaires, Risk, Waiting Lists, Comorbidity, Cognitive Behavioral Therapy, Internet, Overweight

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