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However, before we decided upon the analysis design, we consulted Altman's nomogram (Altman, 1991) to cross-reference effect sizes with power outcomes and thereby estimate sample sizes. This suggested that after list-wise deletion we had a sufficient number of participants in our sample to reject the null hypotheses without recourse to imputation. Data were checked for normality of distribution before the analyses and transformed where appropriate. Consequently, the TC:HDL ratio, CRF and HOMA were skewed and were log-transformed before z-scores were constructed. Untransformed data are presented for ease of interpretation throughout. Significant differences between the sexes were determined by one-way analysis of variance (ANOVA) whilst the Chi-square test was used for categorical this website data. As no significant interaction was found for age, maturation and sex, all analyses selleck inhibitor were performed with boys and girls together to increase statistical power. Partial correlations, adjusted for sex, age, physical activity, and maturation (PH), were used to analyse the relationships between BMI, WC, and CRF with single CVD risk factors and clustered cardiometabolic risk. Multiple regression analysis was used to examine the relationships between CRF, WC, BMI and clustered cardiometabolic risk through two separate models. Model 1 included WC, BMI or CRF and was adjusted for sex, age, physical activity, and maturation status. In model 2 WC, BMI or CRF was additionally adjusted to determine the independent associations of the three predictor variables. Finally, analysis of covariance (ANCOVA) was used to test differences in clustered cardiometabolic risk across the different BMI, WC and CRF groups whilst controlling for sex, age, maturation, physical activity and the other two independent variables. Bonferroni's adjustments for multiple comparisons were used to examine the contrasts across groups. Analyses was undertaken using Statistical Package for the Social Sciences (version 18; SPSS, Chicago, IL), with values of P BML-190 0.01). Boys presented with a greater WC and CRF than girls (P