Table 3.

Associated odds ratios and 95% confidence intervals for univariable and multivariable logistic regression models predicting diabetes

Variable	Crude OR (95% CI)	AOR (95% CI)
Macrosomia	1.48 (1.28–1.71)***	1.21 (1.00–1.45)*
Age
20–44 years	1.00	1.00
45–64 years	2.81 (2.44–3.24)***	3.26 (2.78–3.82)***
≥ 65 years	5.03 (4.29–5.89)***	7.31 (6.12–8.73)***
Race/Ethnicity
Non-Hispanic White	1.00	1.00
Non-Hispanic Black	1.23 (1.06–1.43)**	1.33 (1.12–1.57)**
Mexican	1.35 (1.14–1.60)***	1.86 (1.57–2.20)***
Other Hispanic	1.18 (1.02–1.37)*	1.51 (1.27–1.80)***
Other	1.13 (0.89–1.42)	1.71 (1.33–2.20)***
Obesity
Underweight/Normal	1.00	1.00
Overweight	1.72 (1.45–2.03)***	1.62 (1.35–1.95)***
Obese	3.44 (2.95–4.01)***	3.46 (2.94–4.07)***
Gestational Diabetes	2.11 (1.73–2.58)***	2.77 (2.22–3.46)***
Parity
Primiparous	1.00	1.00
Multiparous	1.44 (1.20–1.72)***	0.98 (0.80–1.19)

Logistic regressions were conducted adjusting for the complex sampling design

OR Odds Ratio, CI Confidence Interval, AOR Adjusted odds ratio

*P ≤ 0.05. **P < 0.01. ***P < 0.001