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Cited by 403

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Associations of Substance Use, Abuse, and Dependence with Subsequent Suicidal Behavior

Borges, G., Walters, E. E., Kessler, R. C.·2000·American Journal of Epidemiology

Abstract

General population survey data are used to disaggregate the associations of substance use disorders with suicide attempts in order to evaluate a number of hypotheses about the processes leading to these associations. Data are from the US National Comorbidity Survey (1990-1992). Discrete-time survival analysis is used to study the effects of retrospectively reported temporally prior substance use, abuse, and dependence in predicting first onset of suicidal behavior. Alcohol and drug use predict subsequent suicide attempts after controlling for sociodemographics and comorbid mental disorders. Previous use is not a significant predictor among current nonusers. Abuse and dependence are significant predictors among users for three of the 10 substances considered (alcohol, inhalants, and heroin). The number of substances used is more important than the types of substances used in predicting suicidal behavior. Disaggregation shows that the effects of use are largely on suicidal ideation and nonplanned attempts among ideators. In comparison, the effects of use on suicide plans and planned attempts among ideators are not significant. Clinicians need to be aware that current substance use, even in the absence of abuse or dependence, is a significant risk factor for unplanned suicide attempts among ideators.

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Crossref · 10.1093/oxfordjournals.aje.a010278

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Metadata

Authors
Borges, G., Walters, E. E., & Kessler, R. C.
Venue
American Journal of Epidemiology
Published
2000-04-15
Volume
151
Issue
8
Pages
781-789
ISSN
  • 0002-9262 (ISSN-L)
  • 1476-6256
OpenAlex
W2101187073
Cited by
403
References
4
FWCI
8.83
Type
journal article
Language
en
Open access
closed

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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.