Family Maltreatment, Substance Problems, and Suicidality: Prevalence Surveillance and Ecological Risk/Protective Factor Models

Abstract

Only 1 out of 6 airmen with serious levels of family maltreatment, suicidality, and/or problematic alcohol and drug use reaches out to anyone in uniform (friend, first sergeant, commander, service agency). This study intended to enhance the ability of base, MAJCOM, and Air Staff IDSs to reduce death, injury, and degraded force readiness from family maltreatment, suicidality, and problematic alcohol and drug use by doing the following: (1) developing and validating the accuracy of an innovative surveillance system (A-Fwide) for these secretive problems, and (2) testing a series of hypotheses regarding risk and protective factors for secetive problems in AF communities. Utilizing data gathered from 52,780 airmen as part of the 2006 AF Community Assessment (CA) survey, we developed algorithms for accurately estimating the prevalences of secretive problems, obviating the need for direct assessment of secretive problems in the future. For each problem, we then developed simple and additive risk and promotive effect models at various ecological levels of influence; interactive (e.g., protective) effect models within and across ecological levels; and comprehensive structural equation models of risk, including distal and proximal effects.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2011
Accession Number
ADA553760

Entities

People

  • Amy M Smith Slep
  • Heather M Foran
  • Jeffery D. Snarr
  • Michael Lorber
  • Richard E Heyman

Organizations

  • State University of New York

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Active Duty
  • Air Force
  • Air Force Personnel
  • Algorithms
  • Child Abuse
  • Drug Abuse
  • Factor Analysis
  • Health Services
  • Information Science
  • Medical Personnel
  • Mental Health
  • Psychological Phenomena And Processes
  • Psychology
  • Regression Analysis
  • Statistical Analysis
  • Surveys

Fields of Study

  • Medicine

Readers

  • Child and Adolescent Substance Abuse Science in Autism Spectrum Disorders.
  • Computational Modeling and Simulation
  • Occupational Health and Safety.