Risk Factors Associated with Self-Reported Training-Related Injury before Arrival at the US Army Ordnance School (PREPRINT)

Abstract

This study examined risk factors for self-reported injury incurred before arrival at the U.S. Army Ordnance School for advanced individual training (AIT). During AIT in-processing, soldiers (n = 27,289 men and 3,856 women) completed a questionnaire that collected demographic and lifestyle information, and asked if the soldier currently had an injury that would affect his or her AIT performance. Potential risk factors for self-reported injury were explored using logistic regression. For men, self-reported injury was associated with older age [odds ratio (OR) greater than or equal to 30 years/17-19 years = 1.9], race (OR Black/Caucasian = 1.2), basic combat training (BCT) site (OR Fort Benning/Fort Jackson = 1.7, OR Fort Leonard Wood/Fort Jackson = 1.6, OR Fort Knox/Fort Jackson = 1.3), smoking on 20 or more days in the 30 days prior to BCT (OR smoker/non-smoker = 1.2), and current illness (OR ill/not ill = 6.2). For women, increased self-reported injury was associated with older age (OR greater than or equal to 30 years/17-19 years = 2.0), BCT site (OR Fort Leonard Wood/Fort Jackson = 1.5), and current illness (OR ill/not ill = 5.8). The authors conclude that certain demographic characteristics and lifestyle behaviors may be identified as injury risk factors on arrival at Ordnance AIT.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
ADA523887

Entities

People

  • B. H. Jones
  • J. J. Knapik
  • M. Canham-chervak
  • S. Canada
  • T. L. Grier

Organizations

  • United States Army Center for Health Promotion and Preventive Medicine

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Army Personnel
  • Basic Training
  • Health Services
  • Information Science
  • Injury Prevention
  • Medical Personnel
  • Munitions
  • Physical Fitness
  • Preventive Medicine
  • Public Health
  • Risk Factors
  • Statistical Analysis
  • Students
  • Surveys
  • Tendons
  • Training

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