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

Abstract

Of the many concerns about AF's force behavioral health protection, AF commanders identify secretive problems (family maltreatment, suicidality, and problematic alcohol/drug use) as 3 of the top 5 concerns. These problems are prevalent - the PRMRP-funded pilot study for the current proposal revealed that 25% of AF members reported at least one secretive problem at a serious level, yet only 1 out of 6 of these airmen report that anyone in the AF knows that they are having problems. Yet, the AF currently has no system to routinely track prevalences. Further, enormous gaps exist in our knowledge about risk and protective factors for these problems, especially in military communities. This study seeks to derive and validate an innovative public health surveillance system. Years of pilot work with the AF found that it is possible to derive accurate complex statistical estimation algorithms from data sets containing both nonsensitive information and assessments of secretive problems. These algorithms can then be applied to data sets that do not directly assess secretive problems to accurately estimate problem prevalences. In other words, a single survey administration and the algorithms can obviate the need for future secretive behavior surveys, making this a cost effective and sustainable planning tool. Further, the data set to be used for algorithm derivation will also be ideal to test a series of specific hypotheses about individual, family, workplace, and community risk and protective factors for each of the secretive problems.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2010
Accession Number
ADA533842

Entities

People

  • Amy M. Slep
  • Richard E Heyman

Organizations

  • State University of New York

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Active Duty
  • Air Force
  • Air Force Personnel
  • Algorithms
  • Child Abuse
  • Data Sets
  • Factor Analysis
  • Families (Human)
  • Health
  • Military Families
  • New Hampshire
  • New York
  • Public Health
  • Regression Analysis
  • Risk Factors
  • Surveillance
  • Surveys

Fields of Study

  • Medicine

Readers

  • Mental Health of Military Veterans with Posttraumatic Stress Disorder (PTSD): Risk Factors, Prevalence, Symptoms, and Treatment.
  • Systems Analysis and Design

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control