During last year, 931 men aged 51.0±9.5 years participated in our hospital's 3-day health screening. Their axillary temperature were taken 3 times per day (twice each, at 6:00a.m., 2:00p.m. and 6:00p.m.) during their 3-day stay and the mean axillary temperature was determained for each subject. In 72 among all subjects, the mean axillary temperature was below 36°C. These 72 subjects were classified as low-temperature individuals with normal temperature below 36°C. This study was designed to compare low-temperature subjects with mean axillary temperature, on various factors, such as age, degree of obesity, liver function, renal function, lipids, electrolytes, and biochemical data (blood glucose, serum amylase, and CPK). This study also included seasonal changes in these low-temperature subjects. The following results were obtained. 1) Age was most closely related to low-axillary temperature, and the degree of obesity (modified Broca-Katsura method) had second significant relation. The low-axillary temperature was in common in subjects over 60 years and was also common in obese subjects, regardless of their age. 2) No seasonal effect was observed with low-temperature subjects. 3) Only the age and the degree of obesity (modified Broca-Katsura method) showed negative correlation independently with the mean axillary temperature. (For age, the correlation coefficient was Y=-0.006539X+36.491, while for obesity it was Y=-0.004536X+36.203.) Therefore the older and the more obese the subjects, the lower the mean axillary temperature. 4) The following linear multipule regression equation was found to hold true: A=36.526-0.006365B-0.004190C in which, A denote the mean axillary temperature (°C), B the age (years), and C the degree of obesity (%) determined by the modified Broca-Katsura method. This study also revealed the fact that mean axillary temparature was most significantly related with age, and with obesity secondary.
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