Table 3. Linear regression of anthropometric, biochemical and ceramide data against beta-cell function measures.
Predictor | Beta-cell function/ HOMA-IR (pmol mmol-1) | Disposition index (pmol mmol-1) | Beta-cell function* Matsuda index | |||
---|---|---|---|---|---|---|
Beta coefficient | P | Beta coefficient | P | Beta coefficient | P | |
WHR | -0.33 | 0.001 | -0.30 | 0.002 | -0.26 | 0.016 |
RA index | -0.24 | 0.038 | -0.25 | 0.028 | -0.25 | 0.021 |
Cer 12:1(2H) | -0.24 | 0.015 | -0.24 | 0.021 | -0.23 | 0.010 |
Summary of strongest predictors of beta-cell function using linear regression analysis. WHR, waist-to-hip ratio; HDL, high density lipoprotein cholesterol; RA index, resistin-to-adiponectin ratio; cer, ceramide. Data are presented as beta coefficient and P-value according to beta-cell function/HOMA-IR; Homeostatic Model Assessment of Insulin Resistance and DI; Disposition index; beta-cell function (glucose in mg dl-1, insulin in μIU ml-1) adjusted for the Matsuda index; P-value determined using backward linear regression analysis. Significance level = P < 0.05. Demographic and Anthropometric variables included were: age, sex, BMI, WHR, BP SYS, BP DIA. Biochemical variables included were: HDL cholesterol, adiponectin, resistin, RA index, triacylglycerides, Apo E, TNFα, IFNγ, IL2, IL4, IL6, IL8, IL10. Ceramide data from lipidomic analysis was examined.
* indicates multiplication.