Evidence map›Paper›PMID 24590178›Full record

ArticleJAMA psychiatry2014

Prevalence and correlates of suicidal behavior among soldiers: results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).

Matthew K Nock, Murray B Stein, Steven G Heeringa, Robert J Ursano, Lisa J Colpe, Carol S Fullerton, Irving Hwang, James A Naifeh, Nancy A Sampson, Michael Schoenbaum and 3 more

Abstract read
In one paragraph

Article in JAMA psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

117 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  11. Anger-Related Affect and Suicidal Thoughts and Behaviors: A Systematic Review and Meta-Analysis.Clinical psychology : a publication of the Division of Clinical Psychology of the American Psychological Association · 2025
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  16. Social Determinants of Suicide and Suicidality in Serving Military Personnel: A Global Scoping Review.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025
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57 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Matthew K Nock
Murray B Stein
Steven G Heeringa
Robert J Ursano
Lisa J Colpe
Carol S Fullerton
Irving Hwang
James A Naifeh
Nancy A Sampson
Michael Schoenbaum
Alan M Zaslavsky
Ronald C Kessler
Army STARRS Collaborators

Funding

Modifiable Risk and Protective Factors for Suicidal Behaviors in the US ArmyU01MH087981 · NIMH · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI STEIN, MURRAY B., URSANO, ROBERT J. · 2009 to 2013
$65.0M
NIMH NIH HHS U01 MH087981NIMH NIH HHS U01MH087981
6 · The paper itself

Abstract

importanceThe suicide rate among US Army soldiers has increased substantially in recent years.

objectivesTo estimate the lifetime prevalence and sociodemographic, Army career, and psychiatric predictors of suicidal behaviors among nondeployed US Army soldiers. DESIGN, SETTING, AND

participantsA representative cross-sectional survey of 5428 nondeployed soldiers participating in a group self-administered survey. MAIN OUTCOMES AND MEASURES: Lifetime suicidal ideation, suicide plans, and suicide attempts.

resultsThe lifetime prevalence estimates of suicidal ideation, suicide plans, and suicide attempts are 13.9%, 5.3%, and 2.4%. Most reported cases (47.0%-58.2%) had pre-enlistment onsets. Pre-enlistment onset rates were lower than in a prior national civilian survey (with imputed/simulated age at enlistment), whereas post-enlistment onsets of ideation and plans were higher, and post-enlistment first attempts were equivalent to civilian rates. Most reported onsets of plans and attempts among ideators (58.3%-63.3%) occur within the year of onset of ideation. Post-enlistment attempts are positively related to being a woman (with an odds ratio [OR] of 3.3 [95% CI, 1.5-7.5]), lower rank (OR = 5.8 [95% CI, 1.8-18.1]), and previously deployed (OR = 2.4-3.7) and are negatively related to being unmarried (OR = 0.1-0.8) and assigned to Special Operations Command (OR = 0.0 [95% CI, 0.0-0.0]). Five mental disorders predict post-enlistment first suicide attempts in multivariate analysis: pre-enlistment panic disorder (OR = 0.1 [95% CI, 0.0-0.8]), pre-enlistment posttraumatic stress disorder (OR = 0.1 [95% CI, 0.0-0.7]), post-enlistment depression (OR = 3.8 [95% CI, 1.2-11.6]), and both pre- and post-enlistment intermittent explosive disorder (OR = 3.7-3.8). Four of these 5 ORs (posttraumatic stress disorder is the exception) predict ideation, whereas only post-enlistment intermittent explosive disorder predicts attempts among ideators. The population-attributable risk proportions of lifetime mental disorders predicting post-enlistment suicide attempts are 31.3% for pre-enlistment onset disorders, 41.2% for post-enlistment onset disorders, and 59.9% for all disorders. CONCLUSIONS AND RELEVANCE: The fact that approximately one-third of post-enlistment suicide attempts are associated with pre-enlistment mental disorders suggests that pre-enlistment mental disorders might be targets for early screening and intervention. The possibility of higher fatality rates among Army suicide attempts than among civilian suicide attempts highlights the potential importance of means control (ie, restricting access to lethal means [such as firearms]) as a suicide prevention strategy.

Indexed as

Afghan Campaign 2001-Iraq War, 2003-2011Resilience, PsychologicalAdultAge of OnsetFemaleHealth SurveysHumansInternal-External ControlMaleMental DisordersMilitary PersonnelRisk AssessmentRisk FactorsSex FactorsStatistics as Topic

Identifiers

PMID24590178
PMCPMC4100464

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.