Table 4.
Logistic Regression Models (Unadjusted and Adjusted) for Outcomes Control by Gender and Controlling for Covariates
| Unadjusted | Adjusted | |||
|---|---|---|---|---|
| Outcome | Odds ratio (95% CI) | P value | Odds ratio (95% CI) | P value |
| HbA1c <7% | 1.23 (0.89, 1.70) | 0.207 | 1.38 (0.88, 2.20) | 0.161 |
| BP <130/80 mm Hg | 1.84 (1.35, 2.53) | <0.001a | 1.22 (0.78, 1.92) | 0.388 |
| LDL-C <100 mg/dL | 1.86 (1.34, 2.59) | <0.001a | 1.35 (0.84, 2.17) | 0.210 |
| Composite controlb | 3.30 (1.89, 5.78) | <0.001a | 2.90 (1.37, 6.13) | 0.005a |
The model was adjusted for age, race/ethnicity, marital status, employment, insurance, education, income, health status, and clinic site. The reference group was women.
a
Statistically significant, P<0.05.
b
Composite control is defined as having all three outcomes under control simultaneously.
BP, blood pressure; CI, confidence interval; HbA1c, glycosylated hemoglobin A1c; LDL-C, low-density lipoprotein cholesterol.