Evidence map›Paper›PMID 24590048›Full record

ArticleJAMA psychiatry2014

Predictors of suicide and accident death in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS): results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).

Michael Schoenbaum, Ronald C Kessler, Stephen E Gilman, Lisa J Colpe, Steven G Heeringa, Murray B Stein, Robert J Ursano, Kenneth L Cox, Army STARRS Collaborators

Open access · bronzeAbstract 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 100 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 1 pooled it
46.4field-weighted citation impact, top 1% of its field
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

100 citing papers in PubMed, 1 synthesis or guideline pooled it, 292 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. The Prevention of Suicide in Older Military Veterans.Behavioral sciences (Basel, Switzerland) · 2025
    Review
  6. Exploring heterogeneity in PTSD symptoms and associated predictors and outcomes in Afghanistan veterans: A latent profile analysis.Military psychology : the official journal of the Division of Military Psychology, American Psychological Association · 2025
    Article
  7. Review
  8. Journal of military, veteran and family health · 2024
    Review
  9. Mental health of Canadian Armed Forces Veterans: Review of population studies.Journal of military, veteran and family health · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Suicidal ideation, suicide attempts, and suicide death among Veterans and service members: A comprehensive meta-analysis of risk factors.Military psychology : the official journal of the Division of Military Psychology, American Psychological Association · 2022
    Article

40 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 1 country.

Michael Schoenbaum
Ronald C Kessler
Stephen E Gilman
Lisa J Colpe
Steven G Heeringa
Murray B Stein
Robert J Ursano
Kenneth L Cox
Army STARRS Collaborators
Harvard University · USNational Institute of Mental Health · USDefense Center for Public Health - AberdeenUniformed Services University of the Health Sciences · USUniversity of California, San Diego · USUniversity of Michigan–Ann Arbor · US

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 Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) is a multicomponent study designed to generate actionable recommendations to reduce Army suicides and increase knowledge of risk and resilience factors for suicidality.

objectivesTo present data on prevalence, trends, and basic sociodemographic and Army experience correlates of suicides and accident deaths among active duty Regular Army soldiers between January 1, 2004, and December 31, 2009, and thereby establish a foundation for future Army STARRS investigations. DESIGN, SETTING, AND

participantsAnalysis of trends and predictors of suicide and accident deaths using Army and Department of Defense administrative data systems. Participants were all members of the US Regular Army serving at any time between 2004 and 2009. MAIN OUTCOMES AND MEASURES: Death by suicide or accident during active Army service.

resultsThe suicide rate rose between 2004 and 2009 among never deployed and currently and previously deployed Regular Army soldiers. The accident death rate fell sharply among currently deployed soldiers, remained constant among the previously deployed, and trended upward among the never deployed. Increased suicide risk was associated with being a man (or a woman during deployment), white race/ethnicity, junior enlisted rank, recent demotion, and current or previous deployment. Sociodemographic and Army experience predictors were generally similar for suicides and accident deaths. Time trends in these predictors and in the Army's increased use of accession waivers (which relaxed some qualifications for new soldiers) do not explain the rise in Army suicides. CONCLUSIONS AND RELEVANCE: Predictors of Army suicides were largely similar to those reported elsewhere for civilians, although some predictors distinct to Army service emerged that deserve more in-depth analysis. The existence of a time trend in suicide risk among never-deployed soldiers argues indirectly against the view that exposure to combat-related trauma is the exclusive cause of the increase in Army suicides.

Indexed as

Afghan Campaign 2001-Iraq War, 2003-2011Resilience, PsychologicalAccidents, OccupationalAdultCause of DeathCombat DisordersCross-Sectional StudiesFemaleForecastingHumansIncidenceMaleMilitary PersonnelRisk AssessmentRisk Factors

Identifiers

PMID24590048
PMCPMC4124912
OpenAlexW2098848757

What OpenQuestion holds

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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.