Table 2.
Adjusted Odds Ratios From Multivariable Logistic Regression Models Estimating the Association Between Smoking Cessation Outcomes in Wave 2 as a Function of Changes in Cannabis Use Between Waves (Weighted Estimates, n = 4261)
| Change in cannabis usea | aOR | (95% CI) | χ 2 | p |
|---|---|---|---|---|
| Model 1: tried to quit cigarettes | ||||
| Reduced frequency or stopped using | 1.13 | (0.79, 1.60) | 5.51 | .138 |
| No change in use | 0.74 | (0.54, 1.01) | ||
| Increased frequency or started using | 0.84 | (0.60, 1.17) | ||
| Model 2: quit smoking cigarettes | ||||
| Reduced frequency or stopped using | 1.48 | (0.96, 2.29) | 15.10 | .002 |
| No change in use | 0.67 | (0.43, 1.04) | ||
| Increased frequency or started using | 0.52 | (0.31, 0.86) | ||
| Model 3: quit cigarettes for at least 6 months | ||||
| Reduced frequency or stopped using | 1.00 | (0.57, 1.77) | 12.46 | .006 |
| No change in use | 0.63 | (0.35, 1.14) | ||
| Increased frequency or started using | 0.30 | (0.15, 0.62) |
aResults of three separate multivariable logistic regression models examining the association between change in cannabis use frequency between waves and smoking cessation outcomes. Each model adjusted for the following covariates: sample source, country, sex, age group, ethnicity, income, education, smoking status, cigarettes smoked per day, vaping status, intentions to quit smoking, alcohol consumption, and self-reported diagnoses of anxiety, depression, and chronic pain. Full model results with adjusted odds ratios (aOR) for all covariates are presented in Supplementary Table 4.