Bivariate meta-regression analyses performed on whole grain intake and occurrence of type 2 diabetes.
1 Analyzed on the seven cohort studies only.
The dose-response meta-regression analysis between whole grain intake and occurrence of type 2 diabetes (T2D) was performed by using a hierarchical mixed least square linear regression model, with T2D rate as the outcome variable and whole grain intake as the predictor. The P-value for the Wald test comparing the meta-regression slope to 0 was compared to 0.05. A P-value below 0.05 was considered as evidence of a significant relationship between whole grain intake and the T2D rate. The effects of potential covariates that could influence the outcome variable were adjusted for as a fixed effect in a bivariate regression model, with adjustments on whole grain dose and each covariate one at a time. The covariates considered were sex (% males), age (mean), country where the study was carried out, study design, mode of report of whole grain intake in the original publication (whole grain food or whole grain ingredient), and duration of follow up (for cohort studies only). T2D, type 2 diabetes. WG, whole grains.
Bivariate meta-regression analyses performed on whole grain intake and occurrence of type 2 diabetes.
