Effect of Individual Variability in Body Size on Empirical Model Predictions of Exercise Endurance Times

Abstract

Prevention of heat illness is an important part of Army training and doctrine. Heat illness has historically been a substantial problem in military operations and training and continues to affect modern forces, increasing morbidity, mortality, and use of health care resources. If adequate hydration and emergency medical management are not available, many cases of exertional heat illness (EHI) are potentially fatal. Therefore the US military is attempting to minimize the risks to Warfighters through predictive modeling and mission planning. Environmental conditions, clothing worn, and activity level can contribute to excess heat storage making it difficult to maintain thermal balance with the environment. This imbalance can eventually lead to the development of heat illness ranging from relatively minor heat exhaustion to life threatening heat stroke. In addition to weather, clothing, and exertion, increased body mass index (BMI) has recently been shown to increase the likelihood of developing exertional heat illness. USARIEM has developed several models to predict Warfighter performance and requirements. One of these models was retrospectively tested on a database of Marine Corp Recruits to determine how sensitive predictions of exercise endurance time are to individual anthropometric differences.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA474471

Entities

People

  • L. A. Blanchard
  • L. G. Berglund
  • M. A. Kolka
  • R. F. Wallace
  • W. R. Santee

Organizations

  • United States Army Research Institute of Environmental Medicine

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Acclimatization
  • Army Training
  • Basic Training
  • Clothing
  • Databases
  • Doctrine
  • Health Care
  • Heat Acclimatization
  • Heat Stroke
  • Heat Transfer
  • Marine Corps
  • Military Operations
  • Physical Fitness
  • Predictive Modeling
  • Training
  • Wounds And Injuries

Readers

  • Exercise and Sports Science.
  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.