Journal article
Weight suppression predicts weight gain during inpatient treatment of bulimia nervosa
Physiology & behavior, v 87(3), pp 487-492
2006
PMID: 16442572
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Bulimic individuals typically lose a substantial amount of weight in the process of developing their disorder. Such weight suppression (WS) may be behaviorally and metabolically problematic. The present study tested the hypothesis that WS would predict weight gain during the inpatient hospitalization of 146 bulimia nervosa-spectrum inpatients. WS represented the difference (
M
=
12.0 kg) between highest weight ever and current body weight. Controlling for length of stay and current dieting (EAT-D scores), high levels of WS predicted greater weight gain. Furthermore, WS and admission BMI independently predicted weight gain when entered together in a regression analysis. Weight gain was also related to clinical improvement. These findings suggest that weight suppression, independently of current dieting status, may produce psychobiological pressures toward weight gain and could complicate the treatment of bulimia nervosa.
Metrics
Details
- Title
- Weight suppression predicts weight gain during inpatient treatment of bulimia nervosa
- Creators
- Michael R Lowe - Drexel University, United StatesWilliam Davis - The Renfrew Foundation, United StatesDara Lucks - Drexel University, United StatesRachel Annunziato - Drexel University, United StatesMeghan Butryn - Drexel University, United States
- Publication Details
- Physiology & behavior, v 87(3), pp 487-492
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology); Center for Weight, Eating and Lifestyle Science (WELL) [Historical]
- Web of Science ID
- WOS:000236393900005
- Scopus ID
- 2-s2.0-33644817366
- Other Identifier
- 991014877831104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Behavioral Sciences
- Psychology, Biological