ON ESTABLISHING OF PREDICTIVE MODEL OF TOTAL BODY WATER (I) / 体力科学

ABSTRACT

In this paper, it was aimed to establish a multiple regression equation to predict total body water (TBW) from several anthropometric measurement.<BR>Total body water was determined by the analysis of the dilution of orally ingested deuterium oxide (D<SUB>2</SUB>O) in urine of 27 Japanese females in 20-39 yrs. old, who vol-unteerly participated in this experiment.<BR>The anthropometric measurements were taken for each subject on standing height, body weight and a total of 8 body sites, including 4 skinfold thickness, 2 diameters, and 2 circumferences of limbs on the same day.<BR>The method of forward stepwise regression analysis was adopted to establish the regression equation. The rule of stopping to select the variables was F-statistics (F enter=1.8, F remove=1.7) .<BR>The results obtained were as follows.<BR>1) The mean value of TBW was 25.3 (l), which was less than the value of the American adolescent males reported by Schutte (1980) .<BR>2) Entered variables in this equation were body weight (WT), femur breadth (B1), humerus breadth (B2), abdomen skinfold thickness (S4) and the other variables contributed little.<BR>3) The regression equation obtained were as follows. y=8.70+0.189xWT+1.79xB2-0.092xS4+1.84xB1<BR>4) The multiple correlation coefficient and standard error of estimates of this regression equation were 0.908, 1.271 (l), respectively.<BR>5) An analysis of residuals by means of plotting of standardized residuals and predicted value showed that the defficiency of this equation was little recognized.<BR>We must pay most effort to establish the predictve equation on the samples which have been selected from populations defined on the basis of factors such as age, sex, or race alone or in combination.