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Overweight, Obesity, and Depression

Overweight, Obesity, and Depression META-ANALYSIS A Systematic Review and Meta-analysis of Longitudinal Studies Floriana S. Luppino, MD; Leonore M. de Wit, MS; Paul F. Bouvy, MD, PhD; Theo Stijnen, PhD; Pim Cuijpers, PhD; Brenda W. J. H. Penninx, PhD; Frans G. Zitman, MD, PhD Context: Association between obesity and depression sible moderators (sex, age, depression severity). Obe- has repeatedly been established. For treatment and pre- sity at baseline increased the risk of onset of depression vention purposes, it is important to acquire more in- at follow-up (unadjusted OR, 1.55; 95% confidence in- sight into their longitudinal interaction. terval [CI], 1.22-1.98; P .001). This association was more pronounced among Americans than among Europeans Objective: To conduct a systematic review and meta- (P = .05) and for depressive disorder than for depressive analysis on the longitudinal relationship between de- symptoms (P = .05). Overweight increased the risk of on- pression, overweight, and obesity and to identify pos- set of depression at follow-up (unadjusted OR, 1.27; 95% sible influencing factors. CI, 1.07-1.51; P .01). This association was statistically significant among adults (aged 20-59 years and60 years) Data Sources: Studies were found using PubMed, but not among younger persons (aged20 years). Base- PsycINFO, and EMBASE databases and http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JAMA Psychiatry American Medical Association

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References (77)

Publisher
American Medical Association
Copyright
Copyright 2010 American Medical Association. All Rights Reserved. Applicable FARS/DFARS Restrictions Apply to Government Use.
ISSN
2168-622X
eISSN
2168-6238
DOI
10.1001/archgenpsychiatry.2010.2
pmid
20194822
Publisher site
See Article on Publisher Site

Abstract

META-ANALYSIS A Systematic Review and Meta-analysis of Longitudinal Studies Floriana S. Luppino, MD; Leonore M. de Wit, MS; Paul F. Bouvy, MD, PhD; Theo Stijnen, PhD; Pim Cuijpers, PhD; Brenda W. J. H. Penninx, PhD; Frans G. Zitman, MD, PhD Context: Association between obesity and depression sible moderators (sex, age, depression severity). Obe- has repeatedly been established. For treatment and pre- sity at baseline increased the risk of onset of depression vention purposes, it is important to acquire more in- at follow-up (unadjusted OR, 1.55; 95% confidence in- sight into their longitudinal interaction. terval [CI], 1.22-1.98; P .001). This association was more pronounced among Americans than among Europeans Objective: To conduct a systematic review and meta- (P = .05) and for depressive disorder than for depressive analysis on the longitudinal relationship between de- symptoms (P = .05). Overweight increased the risk of on- pression, overweight, and obesity and to identify pos- set of depression at follow-up (unadjusted OR, 1.27; 95% sible influencing factors. CI, 1.07-1.51; P .01). This association was statistically significant among adults (aged 20-59 years and60 years) Data Sources: Studies were found using PubMed, but not among younger persons (aged20 years). Base- PsycINFO, and EMBASE databases and

Journal

JAMA PsychiatryAmerican Medical Association

Published: Mar 1, 2010

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