Women Litter Carriers: Observations and Modeling

Abstract

Combat support roles for female soldiers expose them to extremes of both environment and physical exertion. Our goals were to quantify female performance under extreme conditions and to evaluate using male-based models to predict female performance. We collected data on 4 female soldiers performing tasks related to lifter casualty evacuation in a hot-dry environment. Activities consisted of walking (1.34 mxs-l) and self-paced two person lifter carriage (68 kg load) to simulate casualty evacuation. Uniforms were worn with (MOPP-4) and without (MOPP-0) Chemical Protective (CP) clothing and masks. There were statistically significant differences (p--0.006) between MOPP-0 and MOPP-4 for rectal temperature (DTre) while walking, but not for litter carriage. The primary limiting factor for litter carriage was muscular-skeletal strain. Without CP clothing, thermal strain was not the immediate limiting factor. Data were compared to values calculated with the Heat Strain Decision Aid (HSDA) and SCENARIO models. The Root Mean Squared Deviations (RMSD) from the observed the values were compared to the mean standard deviations (S'D ). Both male-based models were applicable to the female subject population. The HSDA demonstrated better fit, but SCENARIO is more suitable for accurate and direct input of intermittent work.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2000
Accession Number
ADA384112

Entities

People

  • W. R. Santee
  • W. T. Matthew

Organizations

  • United States Army Research Institute of Environmental Medicine

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Temperature
  • Biological Phenomena
  • Biomedical Research
  • Carriages
  • Casualties
  • Clothing
  • Combat Support
  • Data Science
  • Data Sets
  • Environment
  • Information Science
  • Medical Evacuation
  • Military Research
  • Observation
  • Protective Clothing
  • Solar Radiation
  • Standards

Readers

  • Computational Modeling and Simulation
  • Exercise and Sports Science.