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. 2019 Mar 15;22(5):756–763. doi: 10.1093/ntr/ntz040

Table 3.

Correlations With E-cigarette Dependence Measures With E-cigarette Self-report and Biomarker Dependence Criteria Among Dual Users

Self-rated addiction Vapes/d Vaping d/wk Time to first vape Nicotine concentration Cotinine Molar sum of cotinine and 3HC NNAL
Vapes/da .18* .30** .31** −.12 −.05 −.03 −.13
Vaping d/wk .33** .30** .33** −.26** −.02 −.01 −.15
e-FTCD .56** .48** .43** .85** .02 −.09 −.05 −.20**
PS-ECDI .71** .39** .43** .79** .02 −.03 −.002 −.16*
e-WISDM Total .69** .23** .31** .55** .02 −.14 −.13 −.18*
e-WISDM PDM .72** .30** .39** .61** .03 −.14 −.13 −.20*
e-WISDM SDM .61** .16* .22** .46** .02 −.12 −.12 −.15*
e-WISDM Affiliative Attachment .46** .06 .09 .34** .07 −.11 −.13 −.08
e-WISDM Affective Enhancement .54** .07 .18* .42** .12 −.08 −.08 −.10
e-WISDM Automaticity .54** .33** .36** .49** .03 −.16* −.12 −.18*
e-WISDM Loss of Control .71** .18* .25** .49** .07 −.17* −.19* −.16*
e-WISDM Cognitive Enhancement .52** .17* .20** .37** .04 −.09 −.10 −.15*
e-WISDM Craving .72** .15* .33** .50** .04 −.09 −.07 −.06
e-WISDM Cue Exposure .57** .11 .18* .40** .03 −.16* −.08 −.07
e-WISDM Social/Environmental Goads .19** .16* .10 .25** −.08 −.08 −.05 −.09
e-WISDM Taste .30** .13 .21** .21** −.11 −.08 −.10 −.18*
e-WISDM Tolerance .62** .36** .43** .67** −.02 −.09 −.10 −.28**
e-WISDM Weight Control .42** .05 .13 .29** .01 −.04 −.03 −.10

e-FTCD = e-cigarette Fagerström Test of Cigarette Dependence; e-WISDM = e-cigarette Wisconsin Inventory of Smoking Dependence Motives; PDM = Primary Dependence Motives; PS-ECDI = Penn State Electronic Cigarette Dependence Index; SDM = Secondary Dependence Motives.

aOn days when you vape, how many times per day do you usually use your electronic cigarette? (Assume one “time” consists of around 15 puffs, or lasts around 10 minutes.)

*p < .05, **p < .01.