marginally significantp < 0.100
After constructing the full model containing all the predictors listed above and their interactions, we simplified the model utilizing a stepwise backwards elimination procedure based on the significance level ( p < 0.050) of the predictors, in each step dropping the predictor with the highest p value, until reaching the minimal adequate model containing only significant or marginally significant ( p < 0.100) effects.