Evidence map›Paper›PMID 31865211›Full record

ArticleJournal of psychiatric research2020

Pre-deployment predictors of suicide attempt during and after combat deployment: Results from the Army Study to Assess Risk and Resilience in Servicemembers.

Kelly L Zuromski, Samantha L Bernecker, Carol Chu, Chelsey R Wilks, Peter M Gutierrez, Thomas E Joiner, Howard Liu, James A Naifeh, Matthew K Nock, Nancy A Sampson and 7 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of psychiatric research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 19 citations in OpenAlex.

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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

17 authors at 6 institutions in 1 country.

Kelly L ZuromskiDepartment of Psychology, Harvard University, Cambridge, MA, USA; Department of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Samantha L BerneckerDepartment of Psychology, Harvard University, Cambridge, MA, USA; Department of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Carol ChuDepartment of Psychology, Harvard University, Cambridge, MA, USA; Department of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Chelsey R WilksDepartment of Psychology, Harvard University, Cambridge, MA, USA; Department of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Peter M GutierrezDepartment of Psychiatry, University of Colorado School of Medicine, Aurora, CO, USA; Rocky Mountain Mental Illness Research, Education, and Clinical Center, Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, CO, USA.
Thomas E JoinerDepartment of Psychology, Florida State University, Tallahassee, FL, USA.
Howard LiuDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
James A NaifehCenter for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University School of Medicine, Bethesda, MD, USA.
Matthew K NockDepartment of Psychology, Harvard University, Cambridge, MA, USA.
Nancy A SampsonDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Alan M ZaslavskyDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Murray B SteinDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA; Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA.
Robert J UrsanoCenter for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University School of Medicine, Bethesda, MD, USA.
Ronald C KesslerDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA. Electronic address: kessler@hcp.med.harvard.edu.
Site Principal Investigators
Army liaison/consultant
Other team members
Harvard University · USUniformed Services University of the Health Sciences · USFlorida State University · USRocky Mountain MS Center · USUniversity of California San Diego · USUniversity of Michigan · 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 MH087981
6 · The paper itself

Abstract

backgroundDeployment-related experiences might be risk factors for soldier suicides, in which case identification of vulnerable soldiers before deployment could inform preventive efforts. We investigated this possibility by using pre-deployment survey and administrative data in a sample of US Army soldiers to develop a risk model for suicide attempt (SA) during and shortly after deployment.

methodsData came from the Army Study to Assess Risk and Resilience in Servicemembers Pre-Post Deployment Survey (PPDS). Soldiers completed a baseline survey shortly before deploying to Afghanistan in 2011-2012. Survey measures were used to predict SAs, defined using administrative and subsequent survey data, through 30 months after deployment. Models were built using penalized regression and ensemble machine learning methods.

resultsSignificant pre-deployment risk factors were history of traumatic brain injury, 9 + mental health treatment visits in the 12 months before deployment, young age, female, previously married, and low relationship quality. Cross-validated AUC of the best penalized and ensemble models were .75-.77. 21.3-40.4% of SAs occurred among the 5-10% of soldiers with highest predicted risk and positive predictive value (PPV) among these high-risk soldiers was 4.4-5.7%.

conclusionsSA can be predicted significantly from pre-deployment data, but intervention planning needs to take PPV into consideration.

Indexed as

Models, StatisticalRisk AssessmentAdolescentAdultAge FactorsBrain Injuries, TraumaticFemaleHealth SurveysHumansMaleMarital StatusMental DisordersMilitary PersonnelPrognosisResilience, PsychologicalRisk FactorsDeploymentMilitary personnelPredictive modelingRisk factorsSuicide

Identifiers

PMID31865211
PMCPMC6953717
OpenAlexW2994048855

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.