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Cited by 227

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Daily stress, coping, and dietary restraint in binge eating

Freeman, Lisa M. Yacono, Gil, Karen M.·2004·International Journal of Eating Disorders

Abstract

Objective: The current study evaluated whether psychological stress, use of specific coping strategies, and trait dietary restraint would prospectively predict binge eating episodes. Method: After completing a baseline measure of restraint, 46 binge eating college women kept daily diaries assessing depressed affect, stress, coping, and binge eating for 30 days. Results: Regardless of level of depressed mood, higher stress was associated with increased risk of same‐day binge eating; distraction coping was associated with increased risk of future binge eating; social support was associated with decreased risk of same‐day binge eating; and women with high versus low dietary restraint showed different patterns of relationship for stress, coping, and binge eating. Discussion: Vulnerability to binge eating in women who differ in terms of dietary restraint level may vary as a function of their coping responses to stress. Results highlight the complexities of stress and coping in binge eating. © 2004 by Wiley Periodicals, Inc. Int J Eat Disord 36: 204–212, 2004.

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Crossref · 10.1002/eat.20012

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Metadata

Authors
Freeman, L. M. Y., & Gil, K. M.
Venue
International Journal of Eating Disorders
Publisher
Wiley
Published
2004-07-22
Volume
36
Issue
2
Pages
204-212
ISSN
  • 0276-3478 (ISSN-L)
  • 1098-108X
OpenAlex
W1972585814
Cited by
227
References
1
FWCI
8.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Daily stress, coping, and dietary restraint in binge eating. https://app.cochat.ai/papers/10.1002/eat.20012
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Freeman, L. M. Y., & Gil, K. M. (2004). Daily stress, coping, and dietary restraint in binge eating. International Journal of Eating Disorders. https://doi.org/10.1002/eat.20012

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.