Table 3.
Bootstrapping analyses were used in primary and reversed model, respectively.
| Variables | B | SE | 95% BC CI | p |
|---|---|---|---|---|
| Model 1 (outcome: BMI) | ||||
| Effect of predicator on outcome | ||||
| Chronotype scores → BMI | −0.12 | 0.01 | (−0.13, −0.10) | <0.001 |
| Effect of predicator on mediators | ||||
| Chronotype scores → CDC | −0.01 | 0.01 | (−0.01, −0.00) | <0.001 |
| Chronotype scores → PAT | 0.12 | 0.01 | (0.10, 0.14) | <0.001 |
| Chronotype scores → PIT | −0.05 | 0.01 | (−0.07, −0.03) | <0.001 |
| Effect of mediators on outcome | ||||
| CDC → BMI | 1.37 | 0.21 | (0.96, 1.78) | <0.01 |
| PAT → BMI | −0.15 | 0.03 | (−0.21, −0.08) | <0.01 |
| PIT → BMI | 0.06 | 0.03 | (0.03, 0.19) | 0.05 |
| Model 2 (outcome: Chronotype) | ||||
| Effect of predicator on outcome | ||||
| BMI → Chronotype | −2.11 | 0.15 | (−2.40, −1.81) | <0.001 |
| Effect of predicator on mediators | ||||
| BMI → CDC | 0.05 | 0.01 | (0.04, 0.06) | <0.01 |
| BMI → PAT | −0.44 | 0.04 | (−0.52, −0.35) | <0.01 |
| BMI → PIT | 0.18 | 0.04 | (0.10, 0.27) | <0.01 |
| Effect of mediators on outcome | ||||
| CDC → Chronotype scores | −0.62 | 0.91 | (−2.42, 1.17) | 0.50 |
| PAT → Chronotype scores | 1.04 | 0.13 | (0.78, 1.30) | <0.01 |
| PIT → Chronotype scores | −0.40 | 0.13 | (−0.65, −0.14) | <0.01 |
| Indirect Effects | Estimate | SE | LL 95% CI | UL 95% CI |
| Model 1 (outcome: BMI) | ||||
| CDC | −0.01 | 0.01 | −0.02 | −0.01 |
| PAT | −0.02 | 0.01 | −0.04 | −0.01 |
| PIT | −0.01 | 0.01 | −0.01 | 0.004 |
| Model 2 (outcome: Chronotype) | ||||
| CDC | −0.03 | 0.05 | −0.12 | 0.06 |
| PAT | −0.45 | 0.09 | −0.65 | −0.30 |
| PIT | −0.07 | 0.03 | −0.15 | −0.03 |
Notes: (a) BMI = body mass index; EDS = Caffeinated drinks consumption; PAT = physical activity time; PIT = physical inactivity time. (b) SE = standard error; 95% BC CI = 95% bias-corrected confidence intervals. LL = lower level; UL = upper level.