RELATIONSHIPS BETWEEN BASAL METABOLIC RATE,BODY FAT CONTENT AND 24 HOURS URINARY CREATININE EXCRETIONS
- VernacularTitle:我国人的基底代谢与脂肪含量及尿肌酐排出量的關系
- Author:
Itsian CHAU
- Publication Type:Journal Article
- From:
Acta Nutrimenta Sinica
1956;0(04):-
- CountryChina
- Language:Chinese
-
Abstract:
The basal metabolic rate, body fat, body lean mass and 24 hrs. urinary creatinine were measured in r54 young men and women. The total body fat of 43 male subjects was between 5.0 to 28.6% of thier body weight with a mean of 13.01%, that of 11 females was between 16.9 to 33.7% with a mean of 27.32%. The lean body mass was calculated from the total body weight minus body fat with average values of 49.04 and 35.77 kg in males and females respectively. The basal metabolic rate expressed in per hour per square meter body surface had an average value of 39.41 cal. in males and 33.51 cal. in females, both were lower than that of the western (lower than Boothby and Berkson standard by 6.3 and 7.8% respectively). If the basal metabolic rate was expressed in minute oxygen consumption, it was found that the correlation coefficient of the minute oxygen consumption with lean body mass was more closed than that with the total body weight, they were 0.695 and 0.478 respectively.From the basal oxygen consumptions and lean body masses of 54 subjects the progression equation, was calculated for predicting basal oxygen consumption from lean body mass.y= 4.4x + 2The creatinine body weight coefficient and creatinine lean body mass coefficient for males were with average values of 24.4 mg/kg, 28.2 mg/kg; for females were 20.1 mg/kg, 28.4 mg/kg respectively.Between the basal oxygen consumption and creatinine body weight coefficient as well as creatinine lean body mass coefficient, there were no Close relationship. Heigh values of the creatinine body weight coefficient distinguished men with little fat, however, low values did not discriminate obese subjects, therefore, creatinine body weight coefficient only served as a measure of leanness, it failed to estimate obesity.
