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 https://internationalwomen.net/de/peruanische-frauen/ 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>
Demographics and you can entire-human anatomy constitution
Looks structure attributes of the sufferers are summarised because of the sex and you may ethnicity within the Dining table 2. Western european men had been more youthful, large along with down FM and percentage of BF than its competitors regarding the other three teams. Eu feminine was in fact younger than Asian Indian female, and you may was in fact large and had lower FM and you can portion of BF than its alternatives in the other about three communities. The Asian Indian men had leg pounds and you may BMC however, high portion of BF than the Eu, Maori and Pacific men. The new Asian Indian women and additionally met with the higher part of BF and the low BMC of the four cultural teams, if you’re their body weight is actually lower than Maori and you may Pacific women rather than somewhat different from the new Eu feminine. Just after modifications to own decades, height and you may pounds, Far-eastern Indians met with the highest FM, reduced fat-free size and you may reasonable BMC of one’s four ethnic organizations, while Pacific met with the lower FM and highest lbs-free mass, for folk, and also the large BMC for males (Desk 3).
Dating between Body mass index and you will percentage of body 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 (-·-·).