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. Author manuscript; available in PMC: 2018 Jul 1.
Published in final edited form as: Behav Processes. 2017 Mar 24;140:33–40. doi: 10.1016/j.beproc.2017.03.017

Table 3.

Correlations Among Behavioral Economic Demand, Delay Discounting, and Drug Use Variables

Age Male Income Alcohol Heavy Cannabis Use Demand Delay Discounting



CD Count Grams/Week Month Use CAN ALC MON CAN ALC
Demand (AUC)
Cannabis (n = 55) .02 −.01 .10 .08 .42** .45** .31* - - - - -
Alcohol (n = 50) .07 −.14 .04 .38** .02 .00 .11 .25 - - - -
Delay Discounting (k)
Money (n = 64) −.16 −.11 −.22 −.03 .27* .24 .10 .20 .15 - - -
Cannabis (n = 64) .01 .06 −.07 −.03 .44** .38** .04 .34* .22 .42** - -
Alcohol (n = 59) .04 −.01 −.02 −.17 .12 .07 −.10 −.08 .01 .18 .33* -

Note. CAN = Cannabis; ALC = alcohol; MON = money; AUC = area under the curve from purchase task data; k = delay discounting rate from 5-trial adjusting delay discounting task; Alcohol Heavy = past month heavy alcohol use days (5 or more [males] or 4 or more [females] drinks in a single day): CD Count = number of cannabis use dependence symptoms endorsed; Month Use = percentage past month cannabis use days. n = 64 cannabis users, sample sizes included in the table vary for each measure due to self-reported use or rates of systematic data. Bold = significant at p < .05

*

p < .05;

**

p < .01