Accession Number:



Aircrew Availability: Modeling Predictors of Duties Not Including Flying Status

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Technical Report,01 Sep 2015,30 Apr 2017

Corporate Author:

USAF School of Aerospace Medicine Wright-Patterson AFB United States

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Aerospace medicine practitioners track the epidemiology of conditions that limit aircrew availability and work toward prevention of these conditions. These prevention efforts should focus on those conditions that are the primary driver of aircrew non-availability. The purpose of this study was to reuse available datasets to conduct an analysis of potential predictors of U.S. Air Force aircrew non-availability in terms of being in duties not to include flying DNIF status. This study was a retrospective cohort analysis of U.S. Air Force aircrew on active duty during the period from 2003-2012. Predictor variables included age, Air Force Specialty Code AFSC, clinic location, diagnosis, gender, and pay grade. The response variable was DNIF duration. Nonparametric methods were used for the exploratory analysis and parametric methods were used for model building and statistical inference. Significant associations were observed between age, AFSC, clinic, and primary diagnosis category and expected DNIF duration. While controlling for specific diagnoses, increasing age was positively associated with expected DNIF duration. Six AFSCs were associated with an increased expected DNIF duration however, these AFSCs were not significant drivers of DNIF duration based on the Pareto analysis.

Subject Categories:

  • Medicine and Medical Research
  • Military Forces and Organizations

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