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. 2023 Dec 20;21:171. doi: 10.18332/tid/174819

Table 3.

Multivariable regression with predictors of tobacco, marijuana, and increase in tobacco and/or marijuana use

Variables Tobacco use (N=834) Marijuana use (N=834) Increased tobacco and marijuana use (N=348)
OR (95% CI) OR (95% CI) OR (95% CI)
Age (years)
40–59 vs 18–39 0.30 (0.20–0.45)*** 1.25 (0.67–2.32) 1 (0.50–1.96)
≥60 vs 18–39 0.22 (0.13–0.36)*** 0.96 (0.44–2.10) 0.46 (0.16–1.29)
Marital status
MLT vs SNM 1.95 (1.16–3.27)** 0.65 (0.32–1.32) 1.43 (0.59–3.44)
SDW vs SNM 2.32 (1.26–4.28)** 1.04 (0.46–2.38) 1.90 (0.64–5.62)
Employment status
F/PT vs U/O 0.82 (0.54–1.24) 1.06 (0.57–1.97) 1.19 (0.60–2.38)
Income level ($)
≥35000 vs <35000 0.64 (0.44–0.92)* 0.50 (0.30–0.84)** 1.17 (0.68–2.00)
Exposure to COVID-19
Yes vs No 1.71 (1.17–2.50)** 1.03 (0.59–1.80) 1.29 (0.76–2.19)
Importance of social distancing
Not important vs 2.27 (1.47–3.51)*** 2.69 (1.52–4.74)*** 0.87 (0.49–1.57)
Important
Consumed alcohol ≤2 days
Yes vs No 4.47 (3.15–6.36)*** 3.87 (2.28–6.56)*** 0.85 (0.49–1.48)
Tobacco and marijuana use
Dual use vs marijuana only - - 2.89 (0.99–8.39)
Dual use vs tobacco only 2.81 (1.41–5.61)**

MLT: married/living together; SDW: separated/divorced/widowed. SNM: single/never married; F/PT: full- or part-time; U/O: unemployed or other. Boldface indicates statistical significance.

***

p<0.001,

**

p<0.01,

*

p<0.05.