Prediction of pulmonary residual volume from anthropometric measurements and its applicability to calculate body density in underwater weighing method / 体力科学

ABSTRACT

The purpose of the present study was to derive regression equation based on anthropometric measurements to estimate pulmonary residual volume (RV) and to ascertain its applicability in calculation of body density (BD) . Subjects were 30 males and 25 females living in Santa Barbara, California, USA, ranging in age 17 to 52 years.<BR>Nine anthropometric measurements, actual RV, vital capacity (VC), and BD using the conventional underwater weighing method were made on each subject. In males four measurements (age, height, biiliac diameter, and chest diameter) were selected by Wherry-Doolittle test selection method. Likewise, four measurements (height, age, shoulder circumference, and chest diameter) were selected in females. The prediction formulas obtained by using these measurements were as follows<BR>(1) RV=38.89 (X1) +30.43 (X2) -12.43 (X3) +10.70 (X4) -4573.4 (formales)<BR>(R=0.832, SEE =251.9 m<I>l</I>)<BR>where RV predicted RV (m<I>l</I>), X1 age (years), X2 height (cm), X3 biiliac diameter (mm), X4 chest diameter (mm), R multiple correlation coefficient, SEE standard error of estimation.<BR>(2) RV=26.21 (X1) +8.71 (X2) -4.71 (X3) +12.94 (X4) -1284.2 (for females)<BR>(R=0.768, SEE =225.9 m<I>l</I>)<BR>where X1 height (cm), X2 age (years), X3 shoulder circumference (mm), X4 chest diameter (mm) .<BR>When these formulas were used to calculate RV, mean absolute differences between BDs obtained by using measured and the predicted RVs were 0.00331 g/cm<SUP>3</SUP> for males and 0.00353 g/cm<SUP>3</SUP> for females. On the other hand, the absolute differences using the formula of Goldman and Becklake, the fractions of VC, and the constant values were 0.0047 g/cm<SUP>3</SUP>, 0.00763 g/cm<SUP>3</SUP>, and 0.00787 g/cm<SUP>3</SUP> for males, 0.00642 g/cm<SUP>3</SUP>, 0.00646 g/cm<SUP>3</SUP>, and 0.00620 g/cm<SUP>3</SUP> for females respectively.<BR>It was concluded that using the formulas obtained in the present study to predict RV would be a useful method in the situation where mass management were nessesary and more precise measurements were required than the other simplified estimations. Because in predicting RV our formulas could largely diminish the extent of the potential error as compared with the other predictions. In addition they would not require special knowledge, technique, and devises.