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. Author manuscript; available in PMC: 2023 Jun 6.
Published in final edited form as: Psychol Addict Behav. 2022 Jun 23;37(1):166–176. doi: 10.1037/adb0000863

Table 4.

Results of Multiple Regression Analyses for Discounting Rates Predicting Alcohol Use

95% CI
Magnitude Alcohol use measure t p β Std. error LL UL
$50 AUDIT
MM50 −0.094 .924 −0.005 0.052 −0.109 0.099
AA50 −0.305 .762 −0.007 0.022 −0.050 0.036
AM50 1.581 .119 0.078 0.049 −0.021 0.177
MA50 −2.505 .015* −0.042 0.017 −0.075 −0.008
Alcohol consumption
MM50 0.424 .673 0.031 0.073 −0.114 0.176
AA50 −0.923 .360 −0.028 0.030 −0.088 0.032
AM50 01.142 .257 0.079 0.069 −0.059 0.217
MA50 −2.072 .042* −0.048 0.023 −0.095 −0.002

$200 AUDIT
MM200 −0.524 .602 −0.034 0.066 −0.165 0.097
AA200 −0.574 .568 −0.012 0.020 −0.052 0.029
AM200 1.640 .106 0.100 0.061 −0.022 0.222
MA200 0.194 .847 0.004 0.018 −0.033 0.040
Alcohol consumption
MM200 0.051 .960 0.005 0.095 −0.185 0.195
AA200 0.484 .630 0.014 0.029 −0.045 0.073
AM200 0.812 .420 0.072 0.089 −0.105 0.250
MA200 0.040 .969 0.001 0.026 −0.052 0.054

Note. AUDIT = alcohol use disorders identification test; CI = confidence interval; Std. error = standard error; LL = lower limit; UL = upper limit.

*

Indicates significant at a p < .05 level.