Analyses began with comparisons across the four outcome groups regarding descriptions of their follow-up demography, alcohol use and problem patterns, and health status using chi-square for categorical data and Analysis of Variance for continuous variables, as shown in Table 1. A similar approach in Table 2 evaluated differences across the 4 groups regarding their baseline characteristics, with additional evaluations comparing Groups 2 (High-Risk Drinking) and 3 (Problem Drinking) to test Hypothesis 3. Subsequently, baseline predictors that were significantly different across the four groups in Table 2 were entered into binary backwards elimination regression analyses, using 1000 bootstraps, predicting each outcome independently, as shown in Table 3. Regression analyses did not include items that overlapped greatly with other variables (e.g., omitting a DSM-IV diagnosis when the number of DSM items was entered).
