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. 2023 Mar 20;58(3):289–297. doi: 10.1093/alcalc/agad014

Table 4.

Hierarchical Regression Predictors of Alcohol Problem Severity

Model 1 Model 2 Model 3 Model 4
R2 / Adj. R2 / ∆ R2 β 95% CI R2 / Adj. R2 / ∆ R2 β 95% CI R 2  / Adj. R2  / ∆ R2 β 95% CI R 2  / Adj. R2  / ∆ R2 β 95% CI
.091 .091 / -.070 /.000 .493 / .366 / .402*** .640 / .503 / .147*
Block 1 - Demographics
Age −.030 [-.284, .239] −.030 [-.289, .244] −.049 [-.250, .177] −.090 [-.275, .140]
Sex .097 [-3.230, 5.677] .097 [-3.300, 5.747] .044 [-2.945, 4.058] .070 [-2.307, 4.074]
Cigarette Smoker .172 [-2.183, 6.421] .172 [-2.275, 6.514] .202 [-1.053, 6.030] .181 [-1.050, 5.515]
Cannabis User .293 [-.862, 8.996] .293 [-.978, 9.144] .218 [-.955, 6.991] .197 [-.803, 6.269]
BMI −.065 [-.574, .398] −.065 [-.581, .406] −.126 [-.576, .237] −.080 [-.484, .269]
Block 2 – Medication
Ibudilast −.001 [-4.172, 4.159] −.025 [-3.525, 2.911] .074 [-2.067, 3.880]
Block 3 – Baseline Drinking
DPDD .384* [.038, 1.374] .250 [-.168, 1.086]
PHDD .331^ [-.751, 15.357] .392* [1.273, 16.056]
Block 4 – Metabolites
dACC Cr .004 [-.475, .485]
dACC Cho .414** [.374, 1.705]
dACC mI −.016 [-.403, .362]