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. Author manuscript; available in PMC: 2017 Jun 1.
Published in final edited form as: Drug Alcohol Depend. 2016 Jun 1;163(Suppl 1):S46–S53. doi: 10.1016/j.drugalcdep.2015.09.034

Table 3.

Multilevel models predicting alcohol use likelihood, drinks consumed on drinking days, and acute alcohol use disorder symptoms experienced on drinking days.

Predictor Variables Level Outcome Variables
Alcohol Use Likelihood1 Drinks Consumed on Drinking Days2 Acute AUD Symptoms2



(OR) (IRR) (IRR)
Intercept 1 0.460*** 5.696*** 0.493***
 Gender 2 1.406 1.436** 1.163
 Response Inhibition 2 0.711 1.657 1.111
 Gender × Response Inhibition 2 1.441 0.472 1.158
Positive Mood Slope 1 1.190*** 1.119** 1.083
 Gender 2 1.000 1.093 0.995
 Response Inhibition 2 0.928 2.397** 8.900***
 Gender × Response Inhibition 2 6.919 0.314* 0.279
Negative Mood Slope 1 0.858 1.047 1.155*
 Gender 2 0.843 0.891 0.944
 Response Inhibition 2 2.370 1.353 2.063
 Gender × Response Inhibition 2 4.217 0.289* 1.011
Mood Instability Slope 1 1.072** 1.034* 1.060
 Gender 2 1.042 1.047 1.010
 Response Inhibition 2 1.411 0.937 1.489
 Gender × Response Inhibition 2 0.456* 1.003 0.716
Alcohol Use Slope 1 N/A N/A 1.050***
 Gender 2 N/A N/A 1.000
 Response Inhibition 2 N/A N/A 0.923
 Gender × Response Inhibition 2 N/A N/A 1.170

Note. Level 1: Within-subjects effects, centered at subject level. Level 2: Between-subjects effects, centered at grand-mean. Six day-of-week dummy coded indicators were included in all analyses, but are not depicted above.

n = 74 subjects,

1

n = 1309 person-days,

2

n = 622 person-days.

***

p ≤ .001;

**

p ≤ .01;

*

p ≤ .05