Measurements of mean skin temperature, respiratory exchange, and energy metabolism during exposure to four steps of moderate temperature were made on eight young adult females wearing four different kinds of ordinary clothing corresponding to the four seasons. The experiments followed the Latin square method, and the effects of temperature, clothing, and paired subject factors were analyzed statistically. The temperature factor showed significant influence on the mean skin temperature (
S), heart rate, and ratio of oxygen removal, while the clothing factor significantly affected
S and pulmonary exchange (
E), and the paired subject factor significantly influenced
E and oxygen intake (
O2). No significant interaction between the three factors was observed. The relation between heart rate and
S and that between heart rate and
O2/kg were analyzed by means of analysis of covariance. Comparison of the standard partial regression coefficients of both relations disclosed that the
O2 was a more effective predictor of heart rate than
S. By calculating parameters of multiple regression in heart rate and in ratio of oxygen removal, significant curvilinear regression in the ratio of oxygen removal of air temperature was confirmed.
View full abstract