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Cited by 1,020

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Relationships between obesity and DSM-IV major depressive disorder, suicide ideation, and suicide attempts: results from a general population study

Open access
·2000·American Journal of Public Health

Abstract

OBJECTIVES: This study sought to test the relationships between relative body weight and clinical depression, suicide ideation, and suicide attempts in an adult US general population sample. METHODS: Respondents were 40,086 African American and White participants interviewed in a national survey. Outcome measures were past-year major depression, suicide ideation, and suicide attempts diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. The primary predictor was relative body weight, treated both continuously (i.e., body mass index [BMI]) and categorically in logistic regression analyses. Covariates included age, income and education, disease status, and drug and alcohol use. RESULTS: Relative body weight was associated with major depression, suicide attempts, and suicide ideation, although relationships were different for men and women. Among women, increased BMI was associated with both major depression and suicide ideation. Among men, lower BMI was associated with major depression, suicide attempts, and suicide ideation. There were no racial differences. CONCLUSIONS: Differences in BMI, or weight status, were associated with the probability of past-year major depression, suicide attempts, and suicide ideation. Longitudinal studies are needed to differentiate the causal pathways and mechanisms linking physical and psychiatric conditions.

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Crossref · 10.2105/ajph.90.2.251

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Metadata

Venue
American Journal of Public Health
Published
2000-02-01
Volume
90
Issue
2
Pages
251-257
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
OpenAlex
W2101073436
Cited by
1,020
References
1
FWCI
30.01
Type
journal article
Language
en
Open access
green

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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.