Table 2.
Model 1: age and race | Model 2: potential confounders* | Model 3: all potential confounders and anthropometrics† | |
---|---|---|---|
All | |||
Nulliparous | 1.0 | 1.0 | 1.0 |
1–2 live births | 0.85 (0.67–1.08) | 0.85 (0.66–1.09) | 0.87 (0.65–1.06) |
3–4 live births | 0.91 (0.70–1.19) | 0.90 (0.68–1.18) | 0.88 (0.63–1.08) |
≥5 live births | 1.57 (1.20–2.06) | 1.33 (1.00–1.77) | 1.21 (0.86–1.49) |
Blacks | |||
Nulliparous | 1.0 | 1.0 | 1.0 |
1–2 live births | 0.78 (0.51–1.18) | 0.81 (0.54–1.23) | 0.86 (0.58–1.29) |
3–4 live births | 0.93 (0.58–1.49) | 0.91 (0.56–1.50) | 1.02 (0.64–1.64) |
≥5 live births | 1.64 (1.10–2.45) | 1.54 (1.02–2.32) | 1.43 (0.98–2.10) |
Whites | |||
Nulliparous | 1.0 | 1.0 | 1.0 |
1–2 live births | 0.88 (0.66–1.18) | 0.86 (0.62–1.19) | 0.88 (0.64–1.20) |
3–4 live births | 0.92 (0.67–1.26) | 0.89 (0.63–1.26) | 0.84 (0.60–1.18) |
≥5 live births | 1.50 (1.03–2.17) | 1.20 (0.81–1.78) | 1.06 (0.72–1.57) |
Data are prevalence ratio (95% CI). Generalized linear models with a log-link and Poisson distribution are shown.
*Model 2: age, race, marital status (4), income (3), education (3), height (in centimeters), alcohol yes/no, clinic (4), and smoking (3).
†Model 3: also for BMI, BMI at age 50 years, and waist circumference.