Table 3.
Reference Group: Non-depressed | |||
---|---|---|---|
Group | Variable | Estimate (standard error), p-value | Odds Ratio (95% Confidence Interval) |
Slow Increase | Constant | −3.42 (0.88), p<0.001 | ---- |
PSQI | 0.193 (0.10), p=0.05 | 1.21 (0.996, 1.48) | |
BDI-s at baseline | 0.417 (0.11), p<0.001 | 1.52 (1.23, 1.87) | |
| |||
Rapid Increase | Constant | −8.17 (1.6), p<0.001 | ---- |
PSQI | 0.330 (0.13), p=0.01 | 1.39 (1.07, 1.80) | |
BDI-s at baseline | 0.582 (0.12), p<0.001 | 1.79 (1.41, 2.27) | |
| |||
Reference Group: Slow Increase | |||
Group | Variable | Estimate (standard error), p-value | Odds Ratio (95% Confidence Interval) |
| |||
Rapid Increase | Constant | −4.75 (1.3), p<0.001 | ---- |
PSQI | 0.137 (0.09), p=0.14 | 1.15 (0.957, 1.38) | |
BDI-s at baseline | 0.165 (0.06), p=0.006 | 1.18 (1.05, 1.32) |
Note. Group-based trajectory modeling, which uses a multinomial modeling technique, was used to test the association between PSQI and group membership, while adjusting for baseline BDI-s. Worse sleep quality is associated with a less favorable depression trajectory. The association between baseline PSQI and group membership is independent of baseline BDI-s when comparing rapid increasers to non-depressed. With one unit increase in PSQI, the odds of experiencing a rapid increase in depressive symptoms compared to no change increases by 39%.