A Simple and Valid Method to Determine Thermoregulatory Sweating Threshold and Sensitivity

Abstract

Sweating threshold temperature and sweating sensitivity responses are measured to evaluate thermoregulatory control. However, analytic approaches vary, and no standardized methodology has been validated. This study validated a simple and standardized method, segmented linear regression (SReg), for determination of sweating threshold temperature and sensitivity. Archived data were extracted for analysis from studies in which local arm sweat rate (m'sw; ventilated dew-point temperature sensor) and esophageal temperature (Tes) were measured under a variety of conditions. The relationship m'sw/Tes from 16 experiments was analyzed by seven experienced raters (Rater), using a variety of empirical methods, and compared against SReg for the determination of sweating threshold temperature and sweating sensitivity values. Individual interrater differences (n=324 comparisons) and differences between Rater and SReg (n=110 comparisons) were evaluated within the context of biologically important limits of magnitude (LOM) via a modified Bland-Altman approach. The average Rater and SReg outputs for threshold temperature and sensitivity were compared (n=16) using inferential statistics.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2009
Accession Number
ADA506523

Entities

People

  • Brett R Ely
  • David W. DeGroot
  • Michael N. Sawka
  • Robert W. Kenefick
  • Samuel N. Cheuvront
  • Scott J. Montain
  • Shawn E. Bearden

Organizations

  • United States Army Research Institute of Environmental Medicine

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Body Temperature
  • Contracts
  • Contrast
  • Control Systems
  • Data Analysis
  • Data Science
  • Data Sets
  • Department Of Defense
  • Dew Point
  • Environment
  • Heat Acclimatization
  • Information Science
  • Instructions
  • Military Research
  • Regression Analysis
  • Statistical Analysis
  • Sweat Glands

Readers

  • Exercise and Sports Science.
  • Psychometric Testing or Psychological Assessment.
  • Regression Analysis.