showed a trendp < 0.2
Starting with all variables that showed a trend towards an association ( p < 0.2), a best subset regression procedure was used to identify the most suitable and parsimonious multivariate model, i.e., the one with the lowest Akaike information criterion, which is a well-known parameter of the goodness of fit of the model ( Akaike, 1992 ).