ArticleArmed forces and society2023
Risk Factors Explaining Military Deaths From Suicide, 2008-2017:A Latent Class Analysis.
Article in Armed forces and society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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Who cites it
2 citing papers in PubMed, 9 citations in OpenAlex.
- Identifying and characterizing suicide decedent subtypes using deep embedded clustering.Scientific reports · 2025Article
- Major Depressive Disorder, Suicides, and the Role of Dimensional Psychiatry for Triaging in Primary Care Settings: A Case Series Retroanalysis.Innovations in clinical neuroscienceArticle
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Military suicide prevention efforts would benefit from population-based research documenting patterns in risk factors among service members who die from suicide. We use latent class analysis to analyze patterns in identified risk factors among the population of 2660 active-duty military service members that the Department of Defense Suicide Event Report (DoDSER) system indicates died by suicide between 2008 and 2017. The largest of five empirically derived latent classes was primarily characterized by the dissolution of an intimate relationship in the past year. Relationship dissolution was common in the other four latent classes, but those classes were also characterized by job, administrative, or legal problems, or mental health factors. Distinct demographic and military-status differences were apparent across the latent classes. Results point to the need to increase awareness among mental health service providers and others that suicide among military service members often involves a constellation of potentially interrelated risk factors.
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