Phenotypic predictors of suicide subtypes from pre-to postdeployment in active duty military personnel

STRONG STAR Consortium

Research output: Contribution to journalArticlepeer-review

Abstract

Military service members are at increased risk for suicide, but there are few strategies for detecting those who are at highest risk after a deployment. Using all available data collected from 4119 Military service members before and after their deployment to Iraq for Operation Iraqi Freedom, we tested whether predeployment characteristics clustered together to predict postdeployment suicidal risk. Latent class analysis showed that three classes best characterized the sample at predeployment. Class 1 had significantly higher scores on PTSD severity pre- and postdeployment than Classes 2 and 3 (Ps < .001). At postdeployment, Class 1 also had a greater proportion of endorsement of lifetime and past year suicidal ideation than Classes 2 and 3 (Ps < .05) and a greater proportion of lifetime suicide attempts than Class 3 (P < .001). Class 1 also had a greater proportion of endorsement of past-30-days intention to act on suicidal thoughts than Classes 2 and 3 (Ps < .05) and past-30-days specific plan for suicide than Classes 2 and 3 (Ps < .05). The study showed that based only on predeployment data, it is possible to determine which service members might be at highest risk for suicidal ideation and behavior at postdeployment.

Original languageEnglish (US)
Pages (from-to)163-170
Number of pages8
JournalJournal of Psychiatric Research
Volume160
DOIs
StatePublished - Apr 2023

Keywords

  • Active duty military personnel
  • Latent class analysis
  • Posttraumatic stress disorder (PTSD)
  • Suicidal behavior
  • Suicidal ideation

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Biological Psychiatry

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