ArticleJournal of community health2026
Sex-Specific Associations Between Cannabis Use, Suicidal Intent, and Suicidal Ideation Among Low-Income U.S. Veterans.
Article in Journal of community health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
3 authors.
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Abstract
This study investigates whether lifetime cannabis use is associated with lifetime prevalence of suicidal ideation and intent among low-income U.S. veterans and whether these associations vary by sex. Data were drawn from 1,004 veterans who participated in the National Veteran Homeless and Other Poverty Experiences (NV-HOPE) survey. Bivariate and multivariable analyses were used to examine relationships between cannabis use, sex, major depressive disorder (MDD), and suicidal intent and ideation, considering sociodemographic measures. Lifetime cannabis use, younger age, and MDD were significantly associated with lifetime suicidal ideation. The association between lifetime cannabis use and suicidal intent was stronger among males than females, while MDD was associated with nearly five times higher odds of suicidal intent. In addition, White veterans had significantly lower odds of suicidal intent compared to non-White veterans. Overall, lifetime cannabis use was associated with both lifetime suicidal ideation and suicidal intent, with sex-specific differences observed for suicidal intent. These results highlight the need to consider sex-specific, demographic, and clinical factors when developing strategies to reduce suicidal behavior in veterans.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.