Role of Body Fat in the Prediction of the Metabolic Response for Immersion in Cold Water

Abstract

Several empirical models for predicting the metabolic response to a lowered body temperature have been evaluated against available data of young healthy males immersed in cold water under resisting conditions. Nude immersions took place in 20 and 24 C water for 1 h and clothed immersions took place in 10 and 15 C for 3 h. The data were pooled according to low and high percent body fat (%BF). Decreases in the mean weighted skin temperature (Tsk) ranged from 5.3 to 11.9 C and decreases in the core temperature (Tc) ranged from 0.56 to 1.54 C, while increases in the metabolic rate over the immersion period ranged from 34 to 256 W. Through regression analysis, an inverse relationship between %BF and the metabolic response for a given lowered Tsk and lowered Tc was established. When this relationship was explicitly applied to the models, significant improvements in their predictive capability were found. Variables such as body weight, body surface area and rate of change of Tsk were not found to contribute to the predictive capability of the models.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1987
Accession Number
ADA186914

Entities

People

  • Kent B. Pandolf
  • Peter Tikuisis
  • Richard R. Gonzalez
  • Robert A. Oster

Organizations

  • United States Army Research Institute of Environmental Medicine

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Counter IED
  • Sensors

DTIC Thesaurus Topics

  • Alphabets
  • Body Temperature
  • Body Weight
  • Classification
  • Clothing
  • Cold Water
  • Computational Science
  • Cooling
  • Energy Transfer
  • Equations
  • Heat Transfer
  • Inclusions
  • Insulation
  • Numbers
  • Physiology
  • Regression Analysis
  • Security

Readers

  • Computational Modeling and Simulation
  • Exercise and Sports Science.