Table 3.
Logistic Regression Models for Participation Measures | ||||
---|---|---|---|---|
Intervention Retention2,4 | CHW Dr. Visits3,4 | Intervention Classes3 | CHW Home Visits3 | |
Gender | AOR5 [95% CI] |
AOR5 [95% CI] |
AOR5 [95% CI] |
AOR5 [95% CI] |
Model 1 without Interaction Term | ||||
Men1 | 0.38* (0.15, 0.96) | 0.57 (0.24, 1.37) | 0.84 (0.40, 1.74) | 0.65 (0.32, 1.30) |
Model 2 with Interaction Term | ||||
African American Men1 | 0.54 (0.17, 1.78) | 0.59 (0.19, 1.84) | 2.42 (0.90, 6.49) | 0.96 (0.41, 2.26) |
Latino Men1 | 0.24* (0.06, 0.92) | 0.55 (0.17, 1.82) | 0.24** (0.09, 0.70) | 0.34* (0.11, 0.99) |
Adjusted odds ratios derived from multiple logistic regression models. Covariates were held at their mean for estimations: Age, Education, Marital Status, Treatment Site, Self-rated Health, PAID, MD Satisfaction, MD Support, One-to-One visits3
p<.05;
p < .01;
p < .001
Reference category=Women, 2 Reference category=African-American women, 3 Reference category=Latina women
Binary outcome, logistic regression
Ordered categories, cumulative logit regression
One-to-One Visits were included in models for Withdrawal & Dr. Visits only
Adjusted Odds Ratio