Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Using machine learning to identify parenting features prospectively related to callous-unemotional traits from infancy to early adolescence.

Psychological medicine·2026
Same author

Multidimensional emotional disorders inventory: Reliability and validity in a Spanish clinical sample.

Journal of affective disorders·2022
Same author

Comorbidity within mental disorders: a comprehensive analysis based on 145 990 survey respondents from 27 countries.

Epidemiology and psychiatric sciences·2020
Same author

Intermittent explosive disorder subtypes in the general population: association with comorbidity, impairment and suicidality.

Epidemiology and psychiatric sciences·2020
Same author

Association between Cognitive Function and Clustered Cardiovascular Risk of Metabolic Syndrome in Older Adults at Risk of Cognitive Decline.

The journal of nutrition, health & aging·2020
Same author

Associations of independent living and labor force participation with impairment indicators in schizophrenia and bipolar disorder at 20-year follow-up.

Schizophrenia research·2018
Same journal

Adversity as the key feature: neuroimaging profiles of subtypes from multiple depression risk factors.

Psychological medicine·2026
Same journal

Sorting the mind: cognitive enhancement through transcutaneous auricular vagus nerve stimulation: a systematic review and meta-analysis.

Psychological medicine·2026
Same journal

Depression and aging: insights from brain age prediction models.

Psychological medicine·2026
Same journal

An integrative NLP framework identifies multilevel linguistic phenotypes of schizophrenia across tasks.

Psychological medicine·2026
Same journal

Predicting functional remission after antipsychotic discontinuation: a real-world study in schizophrenia - ERRATUM.

Psychological medicine·2026
Same journal

Genetic heterogeneity affects the risk of incident depression, comorbidity, and response to environment: A prospective trajectory study.

Psychological medicine·2026
See all related articles

Related Experiment Video

Updated: Apr 6, 2026

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
06:20

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

Published on: December 6, 2024

3.2K

Occupational differences in US Army suicide rates.

R C Kessler1, M B Stein2, P D Bliese3

  • 1Department of Health Care Policy,Harvard Medical School,Boston,MA,USA.

Psychological Medicine
|July 21, 2015
PubMed
Summary
This summary is machine-generated.

Military suicide rates are highest in combat roles, particularly for soldiers who have never deployed. Deployment status significantly impacts suicide risk in infantrymen and combat engineers, suggesting unique preventive strategies are needed.

Keywords:
ArmyArmy STARRSdeploymentresiliency factorssuicide

More Related Videos

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
07:09

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

Published on: May 2, 2019

6.6K
Research and Development of High-performance Explosives
10:33

Research and Development of High-performance Explosives

Published on: February 20, 2016

18.5K

Related Experiment Videos

Last Updated: Apr 6, 2026

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
06:20

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

Published on: December 6, 2024

3.2K
Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
07:09

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

Published on: May 2, 2019

6.6K
Research and Development of High-performance Explosives
10:33

Research and Development of High-performance Explosives

Published on: February 20, 2016

18.5K

Area of Science:

  • Military suicide research
  • Occupational health
  • Deployment-related stress

Background:

  • Civilian suicide rates differ by occupation, influenced by occupational stress.
  • Military studies show elevated suicide rates in combat arms occupations.
  • The impact of deployment history on military suicide rates remains under-researched.

Purpose of the Study:

  • To analyze the combined effects of Army occupation and deployment history on suicide risk.
  • To investigate how deployment status modifies suicide rates within specific military occupations.

Main Methods:

  • Analysis of an administrative dataset of 729,337 male enlisted Regular Army soldiers (2004-2009).
  • Examined joint associations between Army occupation, deployment history, and suicide prediction.

Main Results:

  • Infantrymen and combat engineers had significantly elevated suicide rates (37.2 and 38.2 per 100,000 person-years, respectively).
  • Suicide rates for these combat roles were lower when currently deployed compared to never or previously deployed.
  • Never-deployed infantrymen and combat engineers showed the highest adjusted suicide risk (OR 2.9).

Conclusions:

  • Deployment history interacts with military occupation to influence suicide risk.
  • The "healthy warrior effect" does not fully explain these variations.
  • Further research into causal mechanisms is crucial for developing targeted suicide prevention interventions for soldiers.