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 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 whole-human body structure
Body structure services of one’s victims is summarised by sex and you may ethnicity into the Table dos. European guys was in fact more youthful, high together with down FM and you may portion of BF than simply its counterparts regarding the almost every other three teams. European women was in fact more youthful than Far eastern Indian feminine, and have been high along with straight down FM and percentage of BF than their competitors regarding other around three groups. The brand new Asian Indian men had knee weight and you will BMC but large portion of BF compared to the Western european, Maori and you will Pacific guys. This new Far eastern Indian female along with encountered the large percentage of BF plus the low BMC of your own five cultural groups, whenever you are themselves weight was less than Maori and you can Pacific feminine and never notably not the same as this new Western european women. Immediately after changes having many years, height and you will weight, Western Indians met with the large FM, lowest fat-free size and you will reasonable BMC of one’s four cultural communities, if you are Pacific encountered the low FM and you can high weight-free size, both for group, therefore the higher BMC for men (Desk step three).
Relationships between Body mass index and you may 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 %, Schottisch Frauen treffen 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 (-·-·).