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Cited by 375

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Psychiatric Disorders: A Rural/Urban Comparison

Blazer, Dan·1985·Archives of General Psychiatry

Abstract

We studied rural/urban differences in the prevalence of nine psychiatric disorders from a community survey (part of the Epidemiologic Catchment Area Program) of 3,921 adults living in the Piedmont of North Carolina. Crude comparisons disclosed that major depressive episodes and drug abuse and/or dependence were more common in the urban area, whereas alcohol abuse/dependence was more common in the rural area. When prevalence for these disorders was stratified for age, sex, race, and education (factors that may confound urban/rural comparisons), a number of significant differences were identified, such as higher prevalence of major depression in female and white subjects and higher prevalence of alcohol abuse/dependence in the less educated subjects. A logistic-regression analysis was used to determine if significant urban/rural differences persisted when these potential confounders were controlled. Major depressive disorders were found to be twice as frequent in the urban area in this controlled analysis.

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Crossref · 10.1001/archpsyc.1985.01790300013002

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Metadata

Authors
Blazer, D.
Venue
Archives of General Psychiatry
Published
1985-07-01
Volume
42
Issue
7
Pages
651
ISSN
0003-990X (ISSN-L)
OpenAlex
W2037608124
Cited by
375
References
22
FWCI
23.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Psychiatric Disorders: A Rural/Urban Comparison. https://app.cochat.ai/papers/10.1001/archpsyc.1985.01790300013002
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Blazer, D. (1985). Psychiatric Disorders: A Rural/Urban Comparison. Archives of General Psychiatry. https://doi.org/10.1001/archpsyc.1985.01790300013002

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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.