A Demographic Analysis of Suicide Among U.S. Navy Personnel

Abstract

This study examined the extent to which suicide in U.S. Navy populations differed relative to comparable civilian populations and addressed the following research questions: (1) Are Navy active duty personnel at higher risk for completed suicide than their employed civilian counterparts? (2) Relative to employed civilians, what are the highest risk demographic groups? and (3) What are the trends in rates over time and space (e.g., clustering effects) and how do they compare with civilian trends? Age, sex, race, and employment adjusted rates were calculated for Sailors committing suicide between 1990 and 1996 and compared with adjusted rates for civilians calculated from national mortality records. Cluster analyses were conducted on annual rates from 1983 through 1995 to examine differences between comparison groups across time and location. Results showed fewer than expected suicides for Caucasian and African American males and a somewhat higher than expected suicide rate among other ethnic group males and among Caucasian women. The suicide rate appears to be increasing in recent years, with some evidence toward a clustering effect in time and space.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1997
Accession Number
ADA335283

Entities

People

  • G. Warrack
  • L. Hourani
  • P. A. Coben

Organizations

  • Naval Health Research Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Active Duty
  • African Americans
  • Age Groups
  • Caucasians
  • Civilian Population
  • Clustering
  • Demography
  • Employment
  • Enlisted Personnel
  • Ethnic Groups
  • Health Care
  • Military Personnel
  • Native Americans
  • Naval Personnel
  • Personnel Management
  • Risk Factors
  • United States

Fields of Study

  • Psychology

Readers

  • Gender and Food Studies
  • Mental Health of Military Veterans with Posttraumatic Stress Disorder (PTSD): Risk Factors, Prevalence, Symptoms, and Treatment.
  • Regression Analysis.

Technology Areas

  • Space