Table 3.
Multivariable adjusted association between counseling and postpartum diabetes screening
Primary outcome: Postpartum diabetes screening
Sample population frequency= 556
Weighted population frequency=18234
| Model 1 OR (95% CI)1 |
Model 2 AOR (95%CI) 2 |
Final model AOR (95%CI)3 |
Final model (P value)4 |
|
|---|---|---|---|---|
| Counseling on 3 v. 0–1 topics | 3.5 (1.6–7.4) | 3.0 (1.4–6.5) | ||
| Counseling on 2 v. 0–1 topics | 2.4 (1.0–5.6) | 2.1 (0.9–5.3) | ||
| Counseling on 3 v. 2 topics | 1.5 (0.8–2.7) | 1.4 (0.7–2.7) | ||
| WIC during pregnancy | 0.5 (0.3–0.9) | 0.5 (0.3–0.9) | 0.02 | |
| Advanced maternal age (35+) | 2.1 (1.2–3.6) | 2.2 (1.2–3.8) | 0.007 | |
| Primiparity | 2.1 (1.2–3.7) | 2.2 (1.2–4.1) | 0.008 | |
| White non-Hispanic | reference | |||
| Black non-Hispanic | 3.1 (1.2–8.3) | |||
| Asian/Pacific Islander | 1.6 (0.8–3.2) | |||
| Hispanic | 1.3 (0.7–2.6) | |||
| Counseling on 3 v. 0–1 topics among white non-Hispanic women | 4.6 (1.2–17.3) | 0.02 | ||
| Counseling on 3 v. 0–1 topics among black non-Hispanic women | 18.3 (1.9–181.2) | 0.01 | ||
| Counseling on 3 v. 0–1 topics among Asian/Pacific Islander women | 11.5 (2.1–62.9) | 0.005 | ||
| Counseling on 3 v. 2 topics among Asian/Pacific Islander women | 10.2 (2.0–52.8) | 0.006 | ||
| Counseling on 3 v. 0–1 topics among Hispanic women | 1.2 (0.4–3.7) | 0.79 | ||
| Model fit statistics | ||||
| AIC | 24427 | 22982 | 22349 | |
| - 2 Log Likelihood | 24421 | 22962 | 22313 | |
| Degrees of Freedom | 2 | 9 | 17 | |
| P value5 | <0.001 | <0.001 | <0.001 |
Abbreviations: AOR, Adjusted Odds Ratio; CI, Confidence Interval; OR, Odds Ratio
Model 1 is unadjusted
Model 2 is adjusted for WIC status, advanced maternal age, parity, race/ethnicity (this was created with sequential addition of the relevant covariates –intervening models not shown)
Final model incorporates interaction term between counseling and race/ethnicity
P value from multivariable logistic regression analysis of maximum likelihood estimates with statistical significance at p<0.05
P value from likelihood ratio with second order Rao Scott design correction comparing larger model to smaller model with statistical significance at p<0.05