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. Author manuscript; available in PMC: 2018 Jan 1.
Published in final edited form as: Drug Alcohol Depend. 2016 Nov 16;170:156–163. doi: 10.1016/j.drugalcdep.2016.11.009

Table 3.

Final Multiple Linear Regression Models for Responses to Alcohol

Stimulatory effects Sedative effects
Predictor β b SE p β b SE p
Age − .06 − .06 .03 .019 − .03 − .03 .03 .259
Female gender .09 .40 .13 .002 − .09 − .40 .13 .003
Estimated BAC .20 5.77 .80 < .001 − .02 − .69 .85 .416
AUDIT Consumption .17 .15 .03 < .001 − .07 − .06 .03 .037
AUDIT Dependence/consequences .08 .04 .01 .004 .13 .06 .01 < .001
Age × eBAC .08 1.06 .36 .003 ― ― ― ―
Age × Consumption − .12 − .03 .01 < .001 ― ― ― ―
Age × Dependence/consequences .08 .02 .01 .009 ― ― ― ―

Note. b = unstandardized beta coefficient. eBAC = estimated blood alcohol concentration. All continuous predictors were centered prior to entry. The pattern of significant results was not altered with the addition of race or current student status. Interactive effects with gender were not significant and were removed from final models. For sedative effects, all interactive effects were non-significant and were removed from final models. Bonferroni correction for multiple tests (3 focal independent variables) would require p < .017.