Comparison of two mathematical models for predicted human thermal responses to hot and humid environments

Purpose: We compared the accuracy and design of two thermoregulatory models, the US Army's empirically designed Heat Strain Decision Aid (HSDA) and the rationally based Health Risk Prediction (HRP) for predicting human thermal responses during exercise in hot and humid conditions and wearing chemical protective clothing. Methods: Accuracy of the HSDA and HRP model predictions of core body and skin temperature (Tc, Ts) were compared to each other and relative to measured outcomes from eight male volunteers (age 24 +/- 6 years; height 178 +/- 5 cm; body mass 76.6 +/- 8.4 kg) during intermittent treadmill marching in an environmental chamber (air temperature 29.3 +/- 0.1 degrees C; relative humidity 56 +/- 1%; wind speed 0.4 +/- 0.1 m.s(-1)) wearing three separate chemical protective ensembles. Model accuracies and precisions were evaluated by the bias, mean absolute error (MAE), and root mean square error (RMSE) compared to observed data mean +/- SD and the calculated limits of agreement (LoA). Results: Average predictions of Tc were comparable and acceptable for each method, HSDA (Bias 0.02 degrees C; MAE 0.18 degrees C; RMSE 0.21 degrees C) and HRP (Bias 0.10 degrees C; MAE 0.25 degrees C; RMSE 0.34 degrees C). The HRP averaged predictions for Ts were within an acceptable agreement to observed values (Bias 1.01 degrees C; MAE 1.01 degrees C; RMSE 1.11 degrees C). Conclusion: Both HSDA and HRP acceptably predict Tc and HRP acceptably predicts Ts when wearing chemical protective clothing during exercise in hot and humid conditions.

Automated summary

Both the HSDA and HRP models adequately predict core body temperature when wearing chemical protective clothing during exercise in hot and humid conditions. The HRP model also shows acceptable predictions for skin temperature.