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Sociodemographic and career history predictors of suicide mortality in the United States Army 2004-2009.
Gilman, S E; Bromet, E J; Cox, K L; Colpe, L J; Fullerton, C S; Gruber, M J; Heeringa, S G; Lewandowski-Romps, L; Millikan-Bell, A M; Naifeh, J A; Nock, M K; Petukhova, M V; Sampson, N A; Schoenbaum, M; Stein, M B; Ursano, R J; Wessely, S; Zaslavsky, A M; Kessler, R C.
Afiliação
  • Gilman SE; Departments of Social and Behavioral Sciences, and Epidemiology,Harvard School of Public Health,Boston, MA,USA.
  • Bromet EJ; Department of Psychiatry and Behavioral Science,Stony Brook School of Medicine,Stony Brook, NY,USA.
  • Cox KL; US Army Public Health Command, Aberdeen Proving Ground,MD,USA.
  • Colpe LJ; Division of Services and Intervention Research,National Institute of Mental Health,Bethesda, MD,USA.
  • Fullerton CS; Center for the Study of Traumatic Stress, Department of Psychiatry,Uniformed Services University School of Medicine,Bethesda, MD,USA.
  • Gruber MJ; Department of Health Care Policy,Harvard Medical School,Boston, MA,USA.
  • Heeringa SG; Institute for Social Research,University of Michigan,Ann Arbor, MI,USA.
  • Lewandowski-Romps L; Institute for Social Research,University of Michigan,Ann Arbor, MI,USA.
  • Millikan-Bell AM; US Army Public Health Command, Aberdeen Proving Ground,MD,USA.
  • Naifeh JA; Center for the Study of Traumatic Stress, Department of Psychiatry,Uniformed Services University School of Medicine,Bethesda, MD,USA.
  • Nock MK; Department of Psychology,Harvard University,Cambridge, MA,USA.
  • Petukhova MV; Department of Health Care Policy,Harvard Medical School,Boston, MA,USA.
  • Sampson NA; Department of Health Care Policy,Harvard Medical School,Boston, MA,USA.
  • Schoenbaum M; Office of Science Policy, Planning and Communications,National Institute of Mental Health,Bethesda, MD,USA.
  • Stein MB; Departments of Psychiatry and Family and Preventive Medicine,University of California San Diego,La Jolla, CA,USA.
  • Ursano RJ; Center for the Study of Traumatic Stress, Department of Psychiatry,Uniformed Services University School of Medicine,Bethesda, MD,USA.
  • Wessely S; King's Centre for Military Health Research,King's College London,London,UK.
  • Zaslavsky AM; Department of Health Care Policy,Harvard Medical School,Boston, MA,USA.
  • Kessler RC; Department of Health Care Policy,Harvard Medical School,Boston, MA,USA.
Psychol Med ; 44(12): 2579-92, 2014 Sep.
Article em En | MEDLINE | ID: mdl-25055175
ABSTRACT

BACKGROUND:

The 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.

METHOD:

The 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.

RESULTS:

Several 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.

CONCLUSIONS:

A 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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Suicídio / Mortalidade / Militares Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Psychol Med Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Suicídio / Mortalidade / Militares Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Psychol Med Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM