Each subject was tested locally for waist circumference and blood pressure.
We tested whether adjusting for waist circumference or WHR would have a significant effect on the observed significant group differences in adipokine serum concentrations.
Associations between variables, including follicular phase premenopasual and postmenopausal women, were examined with Pearson correlation tests with adjustments for waist circumference, BMI, and menopausal status in partial correlation analyses.
Next individual paths of each A and E factor to the three variables were tested for significance, e.g. for waist circumference, OGIS and beta cell glucose sensitivity (Fig. 1).
However, we found no significant differences between the pre-test and post-test waist and shoulder maximum acceleration.
5 We did not have data on blood pressure, the oral glucose tolerance test, or waist circumference, and thus for our population we defined the metabolic syndrome by the presence of three of the four remaining factors: BMI >97th percentile, triglycerides >110 mg/dL, HDL cholesterol <40 mg/dL, and fasting blood glucose >110 mg/dL.
Trends tests for BMI and waist circumference were performed by scoring the categories and entering the score as a continuous term in the regression model.
Proposed cutoffs for waist circumference (WC) in western populations may be not appropriate for Asian populations.
To test quantitative traits for differences between genotype groups a general linear model was used, applying additive models for each variant and including adjustments for sex and age (for waist, waist-to-hip ratio and BMI) or age, sex and BMI (all other traits).
OR2: Further adjusted for waist circumference.
