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 https://lovingwomen.org/thai-braut/ 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
Class and you can entire-human anatomy structure
System structure properties of subjects is summarised because of the sex and ethnicity in Dining table 2. Eu men was indeed young, tall and had straight down FM and you can percentage of BF than just the counterparts throughout the most other three groups. Eu female were more youthful than just Far-eastern Indian women, and you will was indeed high and had straight down FM and you may portion of BF than just its competitors on most other three groups. The fresh Asian Indian dudes got lower body pounds and BMC however, large portion of BF versus Eu, Maori and you can Pacific guys. New Asian Indian female in addition to met with the large percentage of BF while the reduced BMC of four cultural teams, if you’re themselves weight is below Maori and you can Pacific women and never significantly not the same as the brand new European women. Immediately after improvement for many years, peak and weight, Far-eastern Indians encountered the large FM, lowest fat-free mass and you may reasonable BMC of the four cultural groups, when you’re Pacific met with the reduced FM and you will high lbs-100 % free mass, both for men, and also the highest BMC for males (Table step three).
Matchmaking anywhere between Body mass index and you may portion 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
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 (-·-·).
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