Table 3.
Output of logistic regression model entering sex assigned at birth, sexual orientation, age, relational status, dating apps use (non-user vs. former user vs. active user) as predictors for being a smoker.
| Wald Test | 95% Confidence Interval | |||||||
|---|---|---|---|---|---|---|---|---|
| B (Estimate) | SE | OR | Wald | df | p | Lower Bound | Upper Bound | |
| (Intercept) | 0.46 | 0.26 | 1.58 | 3.21 | 1 | 0.07 | −0.04 | 0.96 |
| Dating apps use (non-user) | −0.38 | 0.14 | 0.69 | 7.68 | 1 | <0.01 | −0.64 | −0.11 |
| Dating apps use (active user) | 0.49 | 0.17 | 1.63 | 7.93 | 1 | <0.01 | 0.15 | 0.83 |
| Sex assigned at birth (being male) | −0.29 | 0.18 | 0.75 | 2.72 | 1 | 0.10 | −0.63 | 0.05 |
| Age | −0.02 | 0.01 | 0.98 | 7.60 | 1 | <0.01 | −0.04 | −0.01 |
| Relational status (being single) | 0.42 | 0.16 | 1.52 | 7.04 | 1 | <0.01 | 0.11 | 0.73 |
| Sex assigned at birth (being male) * Relational status (being single) | −0.55 | 0.25 | 0.58 | 4.87 | 1 | <0.05 | −1.04 | −0.06 |
Note. R2 = 0.03 (McFadden), 0.04 (Nagelkerke), 0.01 (Tjur), 0.04 (Cox & Snell). Model Deviance = 1699.75, AIC = 1713.75, BIC = 1749.82, df = 1271, Δχ2 = 4.87, p < 0.05, AUC = 0.61. Previous steps’ statistics are reported in the Supplementary Materials.