Deurenberg Paul, Deurenberg-Yap Mabel
University Tor Vergata, Rome.
Asia Pac J Clin Nutr. 2002;11(1):1-7. doi: 10.1046/j.1440-6047.2002.00258.x.
Body fat percentage (BF%) was measured in 298 Singaporean Chinese, Malay and Indian men and women using a chemical four-compartment model consisting of fat, water, protein and mineral (BF%4C). In addition, weight, height, skinfold thickness and segmental impedance (from hand to hand) was measured. Body fat percentage was predicted using prediction equations from the literature (for skinfolds BF%SKFD) and using the manufacturer's software for the hand-held impedance analyser (BF%IMP). The subjects ranged in age from 18-70 years and in body mass index from 16.0 to 40.2 kg/m2. Body fat ranged from 6.5 to 53.3%. The biases for skinfold prediction (BF%4C-BF%SKFD, mean +/- SD) were -0.4+/-3.9, 2.3+/-4.1 and 3.1+/-4.2 in Chinese, Malay and Indian women, respectively, the Chinese being different from the Malays and Indians. The differences were significant from zero (P < 0.05) in the Malays and Indians. For the men, the biases were 0.5+/-3.8, 0.0+/-4.8 and 0.9+/-4.0 in Chinese, Malays and Indians, respectively. These biases were not significantly different from zero and not different among the ethnic groups. The biases for hand-held impedance BF% were -0.7+/-4.5, 1.5+/-4.4 and 0.4+/-3.8 in Chinese, Malay and Indian women. These biases were not significantly different from zero but the bias in the Chinese was significantly different from the biases in the Malays and Indians. In the Chinese, Malay and Indian men, the biases of BF%IMP were 0.7+/-4.6, 1.9+/-4.8 and 2.0+/-4.4, respectively. These biases in Malay and Indian men were significantly different from zero and significantly different from the bias in Chinese men. The biases were correlated with level of body fat and age, and also with relative arm span (arm span/height) for impedance. After correction, the differences in bias among the ethnic groups disappeared. The study shows that the biases in predicted BF% differ between ethnic groups, differences that can be explained by differences in body composition and differences in body build. This information is important and should be taken into account when comparing body composition across ethnic groups using predictive methods.
采用由脂肪、水、蛋白质和矿物质组成的化学四成分模型（BF%4C）对298名新加坡华裔、马来裔和印度裔男性及女性的体脂百分比进行了测量。此外，还测量了体重、身高、皮褶厚度和节段阻抗（双手之间）。使用文献中的预测方程（皮褶厚度法BF%SKFD）以及手持阻抗分析仪制造商的软件（BF%IMP）来预测体脂百分比。受试者年龄在18至70岁之间，体重指数在16.0至40.2kg/m²之间。体脂率在6.5%至53.3%之间。华裔、马来裔和印度裔女性皮褶厚度预测的偏差（BF%4C - BF%SKFD，均值±标准差）分别为-0.4±3.9、2.3±4.1和3.1±4.2，华裔与马来裔和印度裔不同。马来裔和印度裔的偏差与零有显著差异（P < 0.05）。对于男性，华裔、马来裔和印度裔的偏差分别为0.5±3.8、0.0±4.8和0.9±4.0。这些偏差与零无显著差异，且在不同种族群体之间也无差异。华裔、马来裔和印度裔女性手持阻抗法BF%的偏差分别为-0.7±4.5、1.5±4.4和0.4±3.8。这些偏差与零无显著差异，但华裔的偏差与马来裔和印度裔的偏差有显著差异。在华裔、马来裔和印度裔男性中，BF%IMP的偏差分别为0.7±4.6、1.9±4.8和2.0±4.4。马来裔和印度裔男性的这些偏差与零有显著差异，且与华裔男性的偏差有显著差异。偏差与体脂水平、年龄以及阻抗的相对臂展（臂展/身高）相关。校正后，不同种族群体之间的偏差差异消失。该研究表明，预测的BF%偏差在不同种族群体之间存在差异，这些差异可以通过身体成分和体型的差异来解释。在使用预测方法比较不同种族群体的身体成分时，这些信息很重要，应予以考虑。
