Table 1 presents the results of hierarchical linear regression models predicting maximal normalized levels of alcohol consumption across four age periods from the main effects of GR-AUD and GR-ExtD, the main effects of the specified environmental risk factors and the interaction between them. For ages 12–14, each of the environmental risk factors significantly predicted alcohol consumption, with peer group deviance having the strongest effect followed by low parental monitoring and alcohol availability. Low church attendance had the weakest effect. Strong interactions were seen between both GR-AUD and GR-ExtD and peer group deviance and alcohol availability. A strong interaction in the prediction of alcohol consumption was also seen between low prosocial behavior and GR-ExtD and a weaker interaction was evident with GR-AUD. Low parental monitoring interacted with GR-ExtD but not GR-AUD in the prediction of alcohol intake.
