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. Author manuscript; available in PMC: 2022 Aug 15.
Published in final edited form as: Drug Alcohol Depend. 2020 May 20;213:108072. doi: 10.1016/j.drugalcdep.2020.108072

Table 4.

Logistic Regressions of Social Media Tobacco Engagement Predicting Past 30-day Tobacc Use at One-year Follow-up.

Cigarette Use E-cigarette Use Cigar Use Hookah Use
Type of engagement AOR (95% CI) AOR (95% CI) AOR (95% CI) AOR (95% CI)

Any Engagement 1.15 (0.91 – 1.45) 1.33 (1.05 – 1.68)* 1.47 (1.06 – 2.03)* 1.69 (1.30 – 2.20)***
No. Engagement Activities (range: 0–6)
Anti-engagement
1.12 (1.04 – 1.21)** 1.16 (0.89 – 1.50) 1.12 (1.04 – 1.21)** 1.16 (0.89 – 1.51) 1.30 (1.18 – 1.42)*** 1.59 (1.12 – 2.27)** 1.28 (1.18 – 1.38)*** 1.69 (1.27 – 2.25)***
Pro-engagement 1.78 (1.28 – 2.48)*** 1.45 (1.03 – 2.04)* 2.92 (1.95 – 4.37)*** 2.37 (1.67 – 3.36)***

AOR = adjusted odds ratio; CI = confidence interval; N for each model ranged from 3,826 – 3,947.

Current (past 30-day) tobacco and nicotine product users are being compared to non-current users, which may include ever/lifetime users. All models adjusted for age, sex, and race/ethnicity, and baseline any current tobacco use.

*

p < .05;

**

p < .01;

***

p < .001