Table 4.
Mixed-Effects Regression Models of Non-Work and Work PA Predicting Urges to Smoke
| Non-work PA model | df | Estimate | SE | t value | p value |
|---|---|---|---|---|---|
| Intercept | 184 | 4.043 | 0.245 | 16.52 | <.001 |
| Gender | 880 | 0.456 | 0.359 | 1.27 | .204 |
| BMI | 880 | 0.040 | 0.042 | 0.95 | .342 |
| Daily deviation (WS) in non-work PA | 880 | 0.013 | 0.099 | 0.13 | .899 |
| Weekly average (BS) non-work PA | 880 | −1.615 | 0.556 | −2.90 | .004 |
| Work PA model | df | Estimate | SE | t value | p value |
| Intercept | 184 | 4.007 | 0.250 | 16.06 | <.001 |
| Gender | 880 | 0.525 | 0.365 | 1.44 | .151 |
| BMI | 880 | 0.033 | 0.043 | 0.77 | .439 |
| Daily deviation (WS) in work PA | 880 | 0.037 | 0.120 | 0.31 | .755 |
| Weekly average (BS) work PA | 880 | 0.361 | 0.525 | 0.69 | .493 |
Note. BMI = body mass index; BS = between-subjects; PA = physical activity; WS = within-subjects. Daily deviation represents the daily deviation from each participant’s weekly average level; Weekly average represents the overall weekly mean for each participant. N = 188; n (number of days) = 1,069; gender coded as 0 = female, 1 = male.