Table 2.
Means and Intercepts | b | β | 95% CI |
---|---|---|---|
Work Stressors Intercept | 10.46 | 2.51 | 9.58, 11.27 |
Work Stressors Slope 1 | −0.46 | −0.09 | −1.64, 0.79 |
Work Stressors Slope 2 | 0.52 | 0.09 | −1.36, 2.07 |
CESD Intercept | 2.32 | 0.38 | −0.33, 5.00 |
CESD Slope 1 | −1.29 | −0.20 | −2.80, 0.14 |
CESD Slope 2 | 1.48 | 0.25 | −0.08, 3.06 |
Sleep Quality Intercept | 13.31 | 5.16 | 11.96, 14.49 |
Sleep Quality Slope 1 | 0.62 | 0.23 | −0.001, 1.21 |
Sleep Quality Slope 2 | −0.45 | −0.17 | −1.18, 0.21 |
| |||
Direct Effects | b | B | 95% CI |
| |||
Work Stressors Intercept → CESD Intercept | 0.67 | 0.46 | 0.41, 0.94 |
Work Stressors Slope 1 → CESD Slope 1 | 0.63 | 0.49 | 0.24, 1.01 |
Work Stressors Slope 2 → CESD Slope 2 | 0.54 | 0.51 | 0.19, 0.79 |
CESD Intercept → Sleep Quality Intercept | −0.16 | −0.38 | −0.23, −0.08 |
CESD Slope 1 → Sleep Quality Slope 1 | −0.17 | −0.40 | −0.25, −0.08 |
CESD Slope 2 → Sleep Quality Slope 2 | −0.09 | −0.20 | −0.26, 0.04 |
Work Stressors Intercept → Sleep Quality Intercept | −0.18 | −0.28 | −0.29, −0.05 |
Work Stressors Slope 1 → Sleep Quality Slope 1 | −0.15 | −0.29 | −0.26, −0.06 |
Work Stressors Slope 2 → Sleep Quality Slope 2 | −0.19 | −0.39 | −0.37, 0.01 |
| |||
Indirect Effects | b | β | 95% CI |
| |||
Work Stressors Intercept → CESD Intercept → Sleep Quality Intercept | −0.11 | −0.17 | −0.18, −0.05 |
Work Stressors Slope 1 → CESD Slope 1 → Sleep Quality Slope 1 | −0.11 | −0.20 | −0.20, −0.04 |
Work Stressors Slope 2 → CESD Slope 2 → Sleep Quality Slope 2 | −0.05 | −0.10 | −0.17, 0.01 |
Note. Significant effects are in bold typeface for emphasis and were determined by a 95% bias-corrected bootstrapped confidence interval (based on 10,000 bootstrapped samples) that does not contain zero. CESD=10-item Center for Epidemiological Studies Depression Scale. Slope 1 reflects growth from predeployment to postdeployment. Slope 2 reflects growth from postdeployment to 6-month reintegration. Note that the top section of the table displays means for exogenous variables (i.e., work stressors latent growth models) and intercepts for endogenous variables (i.e., depressive symptoms and sleep quality latent growth models).