Evidence map›Paper›PMID 31306300›Full record

ArticleThe Journal of head trauma rehabilitation

Associations of Lifetime Traumatic Brain Injury Characteristics With Prospective Suicide Attempt Among Deployed US Army Soldiers.

Laura Campbell-Sills, Murray B Stein, Howard Liu, Stephanie Agtarap, Steven G Heeringa, Matthew K Nock, Robert J Ursano, Ronald C Kessler

Open access · greenAbstract read
In one paragraph

Article in The Journal of head trauma rehabilitation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. The Prevention of Suicide in Older Military Veterans.Behavioral sciences (Basel, Switzerland) · 2025
    Review
  4. Assessing the psychometric properties of the Army STARRS' vertical unit cohesion scale: A large-scale, longitudinal study.Military psychology : the official journal of the Division of Military Psychology, American Psychological Association · 2025
    Article
  5. Review
  6. Article
  7. Review
  8. 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
  9. Article
  10. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Laura Campbell-SillsDepartments of Psychiatry (Drs Campbell-Sills, Stein, and Agtarap) and Family Medicine and Public Health (Dr Stein), University of California San Diego, La Jolla, California; VA San Diego Healthcare System, San Diego, California (Dr Stein); Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts (Drs Liu and Kessler); University of Michigan, Institute for Social Research, Ann Arbor, Michigan (Dr Heeringa); Department of Psychology, Harvard University, Cambridge, Massachusetts (Dr Nock); and Center for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, Maryland (Dr Ursano).
Murray B Stein
Howard Liu
Stephanie Agtarap
Steven G Heeringa
Matthew K Nock
Robert J Ursano
Ronald C Kessler
's Heeren Loo · NLSteinhauser (Czechia) · CZ

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 MH087981
6 · The paper itself

Abstract

objectiveTo estimate associations of lifetime traumatic brain injury (TBI) characteristics with prospective suicide attempt among US Army soldiers.

methodThe Army STARRS (Study to Assess Risk and Resilience in Servicemembers) Pre/Post Deployment Study surveyed 3 Brigade Combat Teams that were deployed to Afghanistan in 2012. Lifetime TBI and past-month postconcussive/post-TBI symptoms were evaluated at predeployment baseline. Recency and number of TBIs were quantified, and TBI severity was classified on the basis of reports of alteration/loss of consciousness and memory lapse. Suicide attempt data came from administrative records and surveys administered after return from deployment. Logistic regression models estimated associations of TBI characteristics with prospective suicide attempt among baseline respondents who were deployed (n = 7677), adjusting for other risk factors including lifetime mental disorder.

resultsOne hundred three soldiers made a suicide attempt over a median follow-up period of 30 months (weighted prevalence = 1.31% [0.14%]). In the final model estimating joint associations of TBI severity/recency and past-month postconcussive/post-TBI symptoms, only postconcussive/post-TBI symptoms were associated with a higher risk of suicide attempt (per standard score increase: AOR [adjusted odds ratio] = 1.31; 95% CI, 1.05-1.63; P = .012).

conclusionsAmong the lifetime TBI characteristics evaluated at predeployment baseline, only past-month postconcussive/post-TBI symptoms were prospectively associated with an increased risk of suicide attempt following deployment. Detection of postconcussive/post-TBI symptoms could facilitate targeting of Army suicide prevention programs.

Indexed as

AdultAfghan Campaign 2001-Brain Injuries, TraumaticFemaleHumansMaleMilitary DeploymentMilitary PersonnelProspective StudiesSocioeconomic FactorsSuicide, AttemptedUnited StatesYoung Adult

Identifiers

PMID31306300
PMCPMC6940544
OpenAlexW2957908731

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.