Table 2 Services of individuals into the four ethnic teams

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 siehe Website. Data were analysed using SPSS version 13.0 (SPSS, Inc., Chicago, IL, USA). Results with P < 0·05>

Demographics and you will whole-human anatomy structure

Body constitution properties of the sufferers is actually summarised because of the sex and you may ethnicity when you look at the Table 2. European guys was basically more youthful, high and had all the way down FM and you can percentage of BF than simply the competitors about other about three teams. Eu women have been more youthful than simply Far-eastern Indian feminine, and you will was in fact taller along with lower FM and you may part of BF than just its competitors about almost every other around three groups. The fresh new Asian Indian guys got knee pounds and you will BMC however, highest percentage of BF as compared to Western european, Maori and you may Pacific men. New Western Indian feminine also encountered the highest portion of BF and the reduced BMC of one’s four cultural groups, while you are themselves pounds is below Maori and Pacific feminine and not notably not the same as the newest Western european women. Immediately after improvement getting ages, height and lbs, Far eastern Indians encountered the large FM, low lbs-totally free bulk and lowest BMC of your own four cultural teams, whenever you are Pacific met with the reduced FM and you may highest weight-totally free mass, for both group, as well as the high BMC for males (Dining table step three).

Relationship anywhere between Body mass index and you can part of surplus 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 (-·-·).