Table 5.
Regression Coefficients for Positive Marital Quality Predicting Cardiovascular Risks from Logistic Regression Models for Women
| Hypertension W2 (N=456) |
Rapid heart rate W2 (N=443) |
High CRP W2 (N=374) |
CVD events W2 (N=454) |
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 | |||||
| Controlled vs. normal |
Undiagnosed vs. normal |
Uncontrolled vs. normal |
Controlled vs. normal |
Undiagnosed vs. normal |
Uncontrolled vs. normal |
|||||||
| Age W1 (ref=57–64) | ||||||||||||
| 65–74 | 0.42 (0.41) | 0.80* (0.39) | 0.84 (0.46) | 0.53 (0.45) | 0.90* (0.43) | 0.95 (0.49) | 0.99*b (0.47) | 1.03*b (0.45) | −0.58 (0.32) | −0.55 (0.32) | 1.78 (0.98) | 2.13* (0.98) |
| 75–85 | −0.25 (0.79) | 1.86*b (0.73) | 0.67 (0.76) | −0.22 (0.68) | 1.77*b (0.70) | 0.67 (0.76) | 1.93* (0.84) | 1.63* (0.80) | −1.36* (0.66) | −1.35 (0.68) | 2.81** (0.99) | 2.76** (1.00) |
| PMQ W1 | −0.00 (0.20) | 0.06 (0.18) | −0.16 (0.17) | 0.08 (0.28) | 0.03 (0.23) | 0.17 (0.25) | 0.09 (0.19) | 0.12 (0.26) | −0.04 (0.17) | −0.19 (0.20) | −0.01 (0.28) | 0.93 (0.81) |
| PMQ W1 X age 65–74 | 0.14 (0.45) | 0.53 (0.41) | −0.25 (0.45) | 0.51 (0.41) | 0.39b (0.23) | −0.86 (0.87) | ||||||
| PMQ W1 X age 75–85 | −1.20* (0.57) | −1.25* (0.60) | −1.55**b (0.57) | −0.83 (0.55) | 0.21 (0.34) | −1.67*a (0.80) | ||||||
| Change of PMQ W2-W1 | −0.44 (0.57) | 1.35 (0.77) | ||||||||||
| Change of PMQ W2-W1 X age 65–74 | −2.20a (1.16) | |||||||||||
| Change of PMQ W2-W1 X age 75–85 | −2.10*a (1.03) | |||||||||||
| Constant | 0.12 (1.41) | −0.09 (1.25) | −0.12 (1.48) | 0.01 (1.31) | −0.12 (1.28) | −0.31 (1.42) | −1.86 (1.15) | −1.91 (1.05) | −0.77 (1.18) | −0.63 (1.16) | −4.28* (1.97) | −4.80* (1.82) |
p<0.001,
p<0.01,
p<0.05.
Wald tests: difference between men and women is significant at p<0.05.
Wald tests: difference between men and women is significant at p<0.1.
Standard errors in parentheses.
PMQ: positive marital quality. W1: Wave 1. W2: Wave 2.
In all models, we control for race-ethnicity, education, relative family income, smoking, drinking, BMI physical activity, antihypertensive medication use, and psychological distress (all measured at Wave 1) as well probability of death at W2 and probability of remaining married in both waves. Wave 1 measures of hypertension, rapid heart rate, high CRP and CVD events are also controlled in all models.
Our preliminary analyses suggested that the effects of change of positive marital quality between W1–W2 were not statistically significant (p > 0.05) when predicting hypertension, rapid heart rate and high CRP for women, and are thus not included in the final models.