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. Author manuscript; available in PMC: 2023 Mar 1.
Published in final edited form as: Addict Biol. 2021 Dec 7;27(2):e13118. doi: 10.1111/adb.13118

Table 1.

Ordinary Least Squares (OLS) Regression and Negative Binomial (NB) Models Predicting Alcohol Use Measures from ACR-P3, Reward P3, and Reward Dysregulation P3 quantified by averaging stimulus-locked EEG activity at P3, Pz, P4, P7, P8, O1, and O2.

Model Alcohol Use Binge Drinking Max Drinks Alcohol Problems
Adj. R2 AIC b SE b p Adj. R2 AIC b SE b p Adj. R2 AIC b SE b p Adj. pseudo-R2 AIC b SE b p
Model 1: ACR-P3 .10 1220.4 .07 624.65 .06 921.91 0.15 655.58
Age −0.35 0.55 .522 −0.05 0.06 .385 −0.22 0.19 .248 0.03 0.02 .152
Gender 11.30 3.38 .001 0.53 0.39 .174 3.33 1.15 .005 −0.07 0.14 .603
Race 10.77 5.33 .046 1.16 0.60 .055 2.61 1.82 .155 0.54 0.28 .023
Alcohol Use/Heavy Drinking 0.06 0.01 <.001
ACR-P3 0.41 0.39 .298 0.11 0.05 .015 0.10 0.13 .456 0.04 0.02 <.001
Model 2: Reward-P3 .10 1219.6 .03 630.41 .08 919.47 0.14 661.45
Age −0.51 0.55 .356 −0.08 0.06 .235 −0.27 0.19 .147 0.04 0.02 .133
Gender 9.06 3.53 .011 0.28 0.41 .501 2.49 1.20 .040 −0.10 0.15 .516
Race 12.45 5.27 .020 1.45 0.60 .018 3.15 1.79 .081 0.73 0.28 .010
Alcohol Use/Heavy Drinking 0.06 0.01 <.001
Reward-P3 −0.59 0.43 .168 −0.03 0.05 .524 −0.25 0.15 .088 0.01 0.02 .623
Model 3: ACR-P3 + Reward-P3 .13 1216.3 .11 620.08 .10 916.83 .16 654.86
Age −0.45 0.54 .409 −0.07 0.06 .287 −0.25 0.18 .173 0.03 0.02 .196
Gender 8.75 3.48 .013 0.23 0.40 .568 2.39 1.18 .045 −0.12 0.14 .399
Race 10.93 5.24 .039 1.16 0.59 .049 2.67 1.78 .137 0.61 0.28 .030
Alcohol Use/Heavy Drinking 0.06 0.01 <.001
ACR-P3 1.06 0.47 .025 0.19 0.05 <.001 0.34 0.16 .036 0.06 0.02 <.002
Reward-P3 −1.25 0.51 .016 −0.15 0.06 .012 −0.46 0.17 .009 −0.04 0.02 .102
Model 4: Reward Dysregulation P3 .13 1214.5 .11 618.69 .11 915.45 .15 655.53
Age −0.42 0.53 .435 −0.07 0.06 .240 −0.23 0.18 .201 0.03 0.02 .201
Gender 1.18 3.31 <.006 0.14 0.38 .717 2.66 1.13 .020 −0.17 0.14 .238
Race 10.61 5.17 .042 1.23 0.58 .035 2.47 1.76 .164 0.65 0.28 .020
Alcohol Use/Heavy Drinking 0.06 0.01 <.001
Reward Dysregulation P3 1.13 0.43 .009 0.17 0.05 <.001 0.39 0.15 <.009 0.05 0.02 .010
Model 5: ACR-P3-Nonalcohol P3 .09 1221.0 .04 629.41 .07 921.18 0.15 658.18
Age −0.40 0.55 .470 −0.07 0.06 .286 −0.22 0.19 0.234 0.04 0.02 .228
Gender 10.59 3.34 .002 0.34 0.39 .378 3.12 1.14 .007 −0.17 0.14 .252
Race 11.08 5.34 .040 1.30 0.61 .034 2.51 1.82 .169 0.69 0.28 .016
Alcohol Use/Heavy Drinking 0.06 0.01 <.001
ACR-P3-Nonalcohol P3 0.35 0.49 .471 0.07 0.06 .242 0.19 0.17 .263 0.04 0.02 .059

Note: Analyses were based on N = 143, except models using alcohol problems as the outcome, which were based on N = 103. ACR-P3 = P3 amplitude elicited by alcohol cues; Reward-P3 = P3 amplitude elicited by natural reward cues; Reward dysregulation P3 = ACR-P3 minus Reward-P3; Alcohol Use = product of typical drinking frequency (number of drinking days/week) and drinking quantity (number of drinks/drinking day) in the past year; Binge Drinking = number of days in the past year in which four or more (women) or five or more (men) drinks were consumed within a 2-hr period; Max Drinks = largest number of drinks consumed within a 24-hr period in the past year; Alcohol Use/Heavy Drinking = composite created by averaging responses to Alcohol Use, Binge Drinking, and Max Drinks measures. Adj. R2 = adjusted proportion of variance explained (McFadden’s adjusted pseudo-R2 for NB models). AIC = Akaike’s Information Criterion; b = unstandardized regression coefficient; SE b = standard error for b. All regression coefficients (and associated SE, test statistics, and p-values) significant at the level of p < .05 are shown in bold.