Densitometric validation of nine anthropometric prediction equations of body composition in young native men of Mexico City.
Body density by hydrostatic method and anthropometric variables were measured in 29 young males, natives of Mexico City, in order to test the validity of nine currently used equations for predicting body composition. Tested equations were those reported for body density by Sloan, Wilmore, Jackson and Pollock, Durnin and Womersley, Lohman, and Pollock et al.; for lean body weight by Wilmore, and Hume-Rathbun; and for fat percentage by Yuhasz. Mean values for body density, fat percentage and lean body weight obtained by hydrostatic weighing were 1.0560 +/- 0.0149 kg/l, 18.9 +/- 6.7%, and 52.6 +/- 5.3 kg, respectively, while the means for predicted body density using the six regression equations varied from 1.0538 to 1.0654 kg/l, with a range of correlation from 0.846 to 0.900, and total errors from 0.0077 to 0.0124 kg/l. Mean lean body weight predicted by Wilmore was 55.7 +/- 5.9 kg, with an R of 0.902 and a total error of 4.0 kg, while values given in the same order by Hume-Rathbun were 52.8 +/- 4.8 kg, R of 0.892 and total error of 2.3 kg. Mean fat percentage predicted by Yuhasz was 17.8 +/- 5.6%, R of 0.869 and total error of 3.5%. Although by analysis of variance there were no significant differences among the means of the models, statistical analysis of individual differences between predicted and measured values were significant in six of them.(ABSTRACT TRUNCATED AT 250 WORDS)
Carrasco Sosa
S
S
Depto. Ciencias de la Salud. DCBS, Universidad Autónoma Metropolitana-Iztapalapa, México, D.F.
González Camarena
R
R
Gaitán González
M J
MJ
D000273:Adipose Tissue / Q000033:anatomy & histology; D000293:Adolescent; D000328:Adult; D000886:Anthropometry / Q000379:methods*; D001823:Body Composition; D001835:Body Weight; D003720:Densitometry; D006801:Humans; D007101:Immersion; D008176:Lung Volume Measurements; D008297:Male; D008433:Mathematics; D010991:Plethysmography; D011237:Predictive Value of Tests; D012044:Regression Analysis; D012885:Skinfold Thickness