Table 4.
β estimate | Odds Ratio | 95% CI | R2 Change | |
---|---|---|---|---|
Crude Model | 0.10 | 1.10 | 1.03-1.18 | |
Model 1 | 0.11 | |||
Obstetric Risk | 0.20 | 1.22 | 0.60-2.50 | |
Income Category (> $60,000) | −1.66 | 0.19 | 0.01-0.82 | |
Income Category ($30,000-$60,000) | 0.91 | 2.49 | 0.32-4.38 | |
PSS (Time 3) | 0.08 | 1.08 | 1.00-1.16 | |
Model 2 | 0.12 | |||
Obstetric Risk | 0.26 | 1.30 | 0.63-2.71 | |
Income Category (> $60,000) | −1.59 | 0.20 | 0.01-0.98 | |
Income Category ($30,000-$60,000) | 0.91 | 2.49 | 0.33-4.85 | |
PSQI (Time 3) | 0.09 | 1.10 | 0.89-1.36 | |
PSS (Time 3) | 0.06 | 1.06 | 0.97-1.15 |
The Crude Model represents a logistic regression in which perceived stress at 32 weeks' gestation predicts preterm birth. Model 1 was adjusted for obstetric risk (none or 1+) and income categories (< $30,000, $30,000–$60,000, and > $60,000). Model 2 was adjusted for income, obstetric risk, and for quality of sleep at 32 weeks' gestation.