Evidence map›Paper›PMID 25055175›Full record

ArticlePsychological medicine2014

Sociodemographic and career history predictors of suicide mortality in the United States Army 2004-2009.

S E Gilman, E J Bromet, K L Cox, L J Colpe, C S Fullerton, M J Gruber, S G Heeringa, L Lewandowski-Romps, A M Millikan-Bell, J A Naifeh and 10 more

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

Article in Psychological medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
11.2field-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

24 citing papers in PubMed, 78 citations in OpenAlex.

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  14. Neurocognitive Function and Suicide in U.S. Army Soldiers.Suicide & life-threatening behavior · 2017
    Article
  15. Medically Documented Suicide Ideation Among U.S. Army Soldiers.Suicide & life-threatening behavior · 2017
    Article
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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

20 authors at 9 institutions in 2 countries.

S E GilmanDepartments of Social and Behavioral Sciences, and Epidemiology,Harvard School of Public Health,Boston, MA,USA.
E J BrometDepartment of Psychiatry and Behavioral Science,Stony Brook School of Medicine,Stony Brook, NY,USA.
K L CoxUS Army Public Health Command, Aberdeen Proving Ground,MD,USA.
L J ColpeDivision of Services and Intervention Research,National Institute of Mental Health,Bethesda, MD,USA.
C S FullertonCenter for the Study of Traumatic Stress, Department of Psychiatry,Uniformed Services University School of Medicine,Bethesda, MD,USA.
M J GruberDepartment of Health Care Policy,Harvard Medical School,Boston, MA,USA.
S G HeeringaInstitute for Social Research,University of Michigan,Ann Arbor, MI,USA.
L Lewandowski-RompsInstitute for Social Research,University of Michigan,Ann Arbor, MI,USA.
A M Millikan-BellUS Army Public Health Command, Aberdeen Proving Ground,MD,USA.
J A NaifehCenter for the Study of Traumatic Stress, Department of Psychiatry,Uniformed Services University School of Medicine,Bethesda, MD,USA.
M K NockDepartment of Psychology,Harvard University,Cambridge, MA,USA.
M V PetukhovaDepartment of Health Care Policy,Harvard Medical School,Boston, MA,USA.
N A SampsonDepartment of Health Care Policy,Harvard Medical School,Boston, MA,USA.
M SchoenbaumOffice of Science Policy, Planning and Communications,National Institute of Mental Health,Bethesda, MD,USA.
M B SteinDepartments of Psychiatry and Family and Preventive Medicine,University of California San Diego,La Jolla, CA,USA.
R J UrsanoCenter for the Study of Traumatic Stress, Department of Psychiatry,Uniformed Services University School of Medicine,Bethesda, MD,USA.
S WesselyKing's Centre for Military Health Research,King's College London,London,UK.
A M ZaslavskyDepartment of Health Care Policy,Harvard Medical School,Boston, MA,USA.
R C KesslerDepartment of Health Care Policy,Harvard Medical School,Boston, MA,USA.
Army STARRS Collaborators
Harvard University · USUniformed Services University of the Health Sciences · USUnited States Army Medical Command · USUniversity of Michigan–Ann Arbor · USKing's College London · GBNational Institute of Mental Health · USOffice of Science · USStony Brook School · USUniversity of California, San Diego · 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

backgroundThe US Army suicide rate has increased sharply in recent years. Identifying significant predictors of Army suicides in Army and Department of Defense (DoD) administrative records might help focus prevention efforts and guide intervention content. Previous studies of administrative data, although documenting significant predictors, were based on limited samples and models. A career history perspective is used here to develop more textured models.

methodThe analysis was carried out as part of the Historical Administrative Data Study (HADS) of the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). De-identified data were combined across numerous Army and DoD administrative data systems for all Regular Army soldiers on active duty in 2004-2009. Multivariate associations of sociodemographics and Army career variables with suicide were examined in subgroups defined by time in service, rank and deployment history.

resultsSeveral novel results were found that could have intervention implications. The most notable of these were significantly elevated suicide rates (69.6-80.0 suicides per 100 000 person-years compared with 18.5 suicides per 100 000 person-years in the total Army) among enlisted soldiers deployed either during their first year of service or with less than expected (based on time in service) junior enlisted rank; a substantially greater rise in suicide among women than men during deployment; and a protective effect of marriage against suicide only during deployment.

conclusionsA career history approach produces several actionable insights missed in less textured analyses of administrative data predictors. Expansion of analyses to a richer set of predictors might help refine understanding of intervention implications.

Indexed as

MortalityAdolescentAdultAge FactorsFemaleHumansMaleMiddle AgedMilitary PersonnelRisk FactorsSuicideUnited StatesYoung Adult

Identifiers

PMID25055175
PMCPMC4113022
OpenAlexW2113746911

What OpenQuestion holds

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Registered trials

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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.