Results of the multivariable logistic regression analysis with the outcome of interest being more likely to try or increase cannabis use after legalization (n = 27 808 081)
| Characteristic | Unadjusted OR (95% CI) | Adjusted OR (95% CI) | Adjusted risk increase percentage (95% CI) |
|---|---|---|---|
| Sex | |||
| Female | Ref. | Ref. | Ref. |
| Male | 1.3* (1.2–1.5) | 1.1 (1.0–1.3) | NR |
| Age, yr | |||
| ≥ 65 | Ref. | Ref. | Ref. |
| 45–64 | 1.7* (1.4–2.1) | 1.3 (1.0–1.6) | NR |
| 35–44 | 2.8* (2.3–3.3) | 1.8* (1.3–2.4) | 6.8 (3.5–10.1) |
| 25–34 | 4.2* (3.5–5.1) | 2.6* (1.9–3.4) | 12.6 (8.8–16.4) |
| 15–24 | 5.3* (4.2–6.8) | 3.8* (2.6–5.6) | 20.1 (13.9–26.2) |
| Cannabis use in past 3 mo | |||
| No | Ref. | Ref. | Ref. |
| Yes | 4.3* (3.7–5.0) | 3.3* (2.8–3.9) | 20.4 (17.1–23.6) |
| Education level | |||
| Bachelor’s degree or higher | Ref. | Ref. | Ref. |
| College or diploma | 0.8* (0.7–0.9) | 0.9 (0.7–1.0) | NR |
| Less than HS or HS only | 0.9 (0.8–1.1) | 0.9 (0.8–1.1) | NR |
| Income level, $ | |||
| < 40 000 | Ref. | Ref. | Ref. |
| 40 000–79 999 | 1.0 (0.8–1.1) | 1.2* (1.0–1.4) | 2.5 (0.3–4.7) |
| ≥ 80 000 | 1.2* (1.1–1.4) | 1.5* (1.3–1.9) | 6.1 (3.2–9.0) |
| Main activity | |||
| Employed | Ref. | Ref. | Ref. |
| Student | 1.4* (1.1–1.9) | 0.9 (0.6–1.3) | NR |
| Caregiving/housework | 0.8 (0.7–1.0) | 1.0 (0.8–1.3) | NR |
| Retired/LTI | 0.4* (0.4–0.5) | 0.9 (0.7–1.1) | NR |
| Other | 1.1 (0.8–1.4) | 0.8 (0.6–1.1) | NR |
| Mental health | |||
| Good to excellent | Ref. | Ref. | Ref. |
| Poor or fair | 2.6* (2.1–3.2) | 2.0* (1.6–2.6) | 11.5 (6.7–16.2) |
Note: CI = confidence interval, HS = high school, LTI = long-term illness, NR = not reported (for adjusted ORs that were not significant), OR = odds ratio, Ref. = reference category. The adjusted model includes province/territory and survey wave.
↵* Wald test for predictors being significant in model at p < 0.05.