Table 4.
Estimated Regression Coefficients From Multinomial Logistic Regression Models for Marital Quality to Predict Diabetes Management
| Total Sample | Women | Men | ||||
|---|---|---|---|---|---|---|
| Undiagnosed vs. Controlled | Uncontrolled vs. Controlled | Undiagnosed vs. Controlled | Uncontrolled vs. Controlled | Undiagnosed vs. Controlled | Uncontrolled vs. Controlled | |
| W1 PMQ | −0.31 (0.26) | 0.01 (0.28) | −0.42 (0.44) | 0.04 (0.44) | −0.06 (0.53) | −0.02 (0.45) |
| Change PMQ W2-W1 | −0.23 (0.28) | −0.12 (0.26) | 0.28 (0.47) | 0.89 (0.45) | −0.44 (0.41) | −0.30 (0.33) |
| W1 NMQ | −0.33 (0.32) | −0.52 (0.38) | −0.34 (0.52) | −0.21 (0.64) | 0.05 (0.43) | −0.66 (0.59) |
| Change NMQ W2-W1 | 0.05 (0.29) | −0.57* (0.26) | 0.67 (0.53) | 0.50 (0.49) | −0.05 (0.46) | −0.86** (0.29) |
| Constant | −14.68*** (1.04) | −3.38* (1.42) | −18.68*** (3.19) | −3.92 (2.45) | −14.97*** (1.76) | −2.10 (1.91) |
| N = 389 | N = 136 | N = 253 | ||||
Note: PMQ = positive marital quality; NMQ = negative marital quality; W1 = Wave 1; W2 = Wave 2. Standard errors in parentheses. All models control for age, race, education, income, diabetes status at W1, probability of death between W1 and W2, probability of remaining married in both waves, smoking, drinking, BMI, physical activity level, taking diabetes medications, and psychological distress.
***p < .001. **p < .01. *p < .05.