Key result
Segmented linear regression (SReg) determined sweating threshold and sensitivity similarly to experienced raters, with differences within biological limits 90% and 83% of the time, respectively.
Population
16 archived data sets from studies measuring local arm sweat rate and esophageal temperature
Comparison
Segmented linear regression (SReg) method vs Empirical methods by seven experienced raters
Design
Other
Authors
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SReg supports standardized sweating threshold analysis in research; leaves open broader validation before routine adoption.
p-value: p=>0.05
Segmented linear regression provides a simple, valid, and standardized method for determining sweating threshold temperature and sensitivity in thermoregulatory studies.
Cheuvront et al. (2009) studied Thermoregulatory control (n=16). Segmented linear regression (SReg) vs. Empirical methods by experienced raters was evaluated on Differences in sweating threshold temperature and sensitivity between SReg and experienced raters (p=>0.05). Segmented linear regression (SReg) determined sweating threshold and sensitivity similarly to experienced raters, with differences within biological limits 90% and 83% of the time, respectively.
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