The results are expressed as means and standard deviations, unless stated otherwise. Between-group differences in subject characteristics were tested using one-way ANOVA followed by pairwise comparisons using Tukey’s multiple comparison procedure if a significant F test was obtained. Analysis of covariance (ANCOVA) was used to adjust body composition results for comparison across ethnic groups. Before carrying out the ANCOVA, similarity of regression slopes among the Japanisch MГ¤dchen sind die schГ¶nsten der Welt ethnic groups was verified by examining the significance of the interaction between the covariate(s) and the group variable. Relationships between body composition measurements and age were investigated by multiple regression analysis controlling for independent variables such as height and weight. Potential interaction terms and non-linear relationships were examined for selected variables. Pearson’s correlation coefficients are presented for bivariate linear relationships with age and partial correlation coefficients where adjustment is made for weight and height. Data were analysed using SPSS version 13.0 (SPSS, Inc., Chicago, IL, USA). Results with P < 0·05>
Class and you will entire-body composition
System constitution qualities of sufferers is actually summarised from the sex and ethnicity when you look at the Dining table dos. European guys had been young, tall and had lower FM and you will percentage of BF than just their alternatives on the almost every other around three teams. Western european women was younger than simply Asian Indian feminine, and was basically large and had all the way down FM and part of BF than simply the counterparts regarding the almost every other three groups. The fresh Far eastern Indian men had knee weight and you can BMC but high percentage of BF as compared to Western european, Maori and you may Pacific guys. The new Western Indian women also had the highest portion of BF additionally the lower BMC of your four cultural groups, when you find yourself themselves pounds are lower than Maori and Pacific women rather than significantly unlike the new Eu female. Immediately after modifications to own years, height and pounds, Asian Indians encountered the high FM, lower body weight-ten0 % free size and reduced BMC of five cultural communities, when you’re Pacific encountered the reasonable FM and high lbs-free size, for group, therefore the highest BMC for men (Table step three).
Matchmaking anywhere between Bmi and you can percentage of excess fat
Curvilinear relationships between the percentage of BF and BMI for each ethnic group were linearised by logarithmically transforming BMI (Fig. 1)parison of regression equations of the percentage of BF on the logarithm of BMI with age as a covariate and with sex and ethnicity as group variables indicated significant heterogeneity in the slopes of the male and female equations (P < 0·0001).>
Fig. 1 Relationship between the percentage of body fat (BF) and BMI of European (?), Maori (0), Pacific Island (^) and Asian Indian (?) (a) men and (b) women. The linear regressions are: percentage of BF = 117·7 log10(BMI) ? 144·2 (standard error of estimate (SEE) = 5·2 %, r 2 0·61, n 124) for European men (-); percentage of BF = 101·3 log10(BMI) ? 122·0 (SEE = 4·6 %, r 2 0·74, n 109) for Maori men (- – -); percentage of BF = 93·6 log10(BMI) ? 113·6 (SEE = 4·1 %, r 2 0·68, n 104) for Pacific Island men (·····); percentage of BF = 78·6 log10(BMI) ? 79·4 (SEE = 5·0 %, r 2 0·52, n 117) for Asian Indian men (-·-·); percentage of BF = 103·5 log10(BMI) ? 109·7 (SEE = 4·8 %, r 2 0·72, n 186) for European women (-); percentage of BF = 74·8 log10(BMI) ? 70·3 (SEE = 3·9 %, r 2 0·72, n 90) for Maori women (—); percentage of BF = 65·2 log10(BMI) ? 57·8 (SEE = 4·1 %, r 2 0·65, n 97) for Pacific Island women (·····); percentage of BF = 71·0 log10(BMI) ? 57·7 (SEE = 4·4 %, r 2 0·60, n 107) for Asian Indian women (-·-·).