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. Author manuscript; available in PMC: 2022 Jun 24.
Published in final edited form as: Drug Alcohol Depend. 2020 Sep 25;216:108320. doi: 10.1016/j.drugalcdep.2020.108320

Table 4.

Predictors of marijuana vaping at one-year follow-up among baseline current e-cigarette users (n = 686)

Parameter Estimate (Standard Error) 95% Confidence Interval
Demographics
Age −0.05 (0.04) −0.12 – 0.03
Female gender 0.02 (0.16) −0.29 – 0.34
Ethnicity
Asian −0.14 (0.21) −0.56 – 0.28
Filipino −0.50 (0.23)* −0.95 – −0.05
NHPI −0.16 (0.22) −0.58 – 0.25
Other 0.30 (0.22) −0.13 – 0.72
Two vs. four year college 0.19 (0.16) −0.12 – 0.51
Family income −0.02 (0.03) −0.08 – 0.05
Sensation seeking −0.004 (0.01) −0.03 – 0.02
Past-30-day marijuana vaping frequency at baseline 0.14 (0.04)*** 0.06 – 0.22
Baseline tobacco product and marijuana use frequencies
Past-30-day cigarette use 0.09 (0.04)** 0.02 – 0.17
Past-30-day e-cigarette use 0.02 (0.03) −0.04 – 0.09
Baseline e-cigarette use characteristics
Nicotine concentration 0.12 (0.07) −0.02 – 0.25
E-cigarette use dependence 0.02 (0.02) −0.03 – 0.06
Device type
Cigalike −0.04 (0.07) −0.17 – 0.09
Ego-style tank systems 0.05 (0.07) −0.09 – 0.20
Mods −0.04 (0.07) −0.17 – 0.09
Baseline social network characteristics
No. of e-cigarette users 0.04 (0.03) −0.02 – 0.10
No. of cigarette smokers 0.02 (0.03) −0.04 – 0.08
No. of marijuana users 0.08 (0.07) −0.05 – 0.21
No. of individuals who frequent vape shops 0.05 (0.02)* 0.0014 – 0.01
No. of individuals who know someone who works at a vape shop 0.05 (0.02)* 0.008 – 0.10
Direct marketing
Exposure through mail, e-mail, text messaging −0.07 (0.11) −0.28 – 0.15
Exposure through social media −0.07 (0.13) −0.32 – 0.18
*

p < 0.05;

**

p < 0.01;

***

p < 0.001