Table 4.
Estimates of Crude and Partial Fixed Effects on Diehr-Transformed Self-Rated Health Trajectories With the Square Root of Wave Included as Both a Fixed and a Random Effect (weighted participant N = 993; segment N = 4,467)
Crude Effectsa |
Partial Effectsb |
|||||
---|---|---|---|---|---|---|
Baseline Variable | Estimate | 95% C.I. | p value | Estimate | 95% C.I. | p value |
Square root of wave (i.e., 1.0, 1.4, 1.7, 2.0, 2.2) | 1.15 | −0.22, 2.51 | .098 | 0.26 | −1.29, 1.80 | .742 |
Age (coded in years) | −0.45 | −0.79, −0.12 | .008 | 0.06 | −0.19, 0.32 | .637 |
Men | 0.21 | −2.85, 3.26 | .895 | −1.77 | −4.05, 0.51 | .127 |
Less than $20,000 income | −15.59 | −18.52, −12.65 | < .001 | −3.10 | −5.61, −0.59 | .015 |
Self-rated poor neighborhood quality | −7.93 | −11.17, −4.69 | < .001 | −3.30 | −5.77, −0.83 | .009 |
Current smoker | −6.24 | −9.38, −3.11 | < .001 | −3.90 | −6.29, −1.51 | .001 |
Angina | −19.38 | −24.83, −13.92 | < .001 | −6.37 | −10.67, −2.08 | .004 |
Congestive heart failure | −27.41 | −33.81, −21.01 | < .001 | −10.75 | −15.88, −5.63 | < .001 |
Diabetes | −16.72 | −20.12, −13.32 | < .001 | −13.03 | −18.75, −7.32 | < .001 |
Hypertension | −13.59 | −16.56, −10.63 | < .001 | −5.95 | −8.31, −3.58 | < .001 |
CES-D threshold met | −21.01 | −24.25, −17.76 | < .001 | −8.60 | −11.40, −5.81 | < .001 |
MMSE score (0–30) | 1.96 | 1.42, 2.49 | < .001 | 0.43 | −0.00, 0.86 | .051 |
Lower extremity disability (0–9) | −4.82 | −5.25, −4.39 | < .001 | −2.94 | −3.39, −2.50 | < .001 |
Self-rated poor vision | −20.99 | −24.42, −17.56 | < .001 | −8.18 | −11.06, −5.30 | < .001 |
Self-rated poor hearing | −16.51 | −20.66, −12.35 | < .001 | −5.29 | −8.54, −2.05 | .001 |
Interaction of square root of wave with diabetes | 2.93 | −0.27, 6.12 | .072 | 3.07 | −0.10, 6.23 | .058 |
Note: C.I. = confidence interval; CES-D = Center for Epidemiological Studies Depression Scale (Kohout, Berkman, & Evans, 1993); MMSE = Mini-Mental Status Examination (Molloy, Alemayehu, & Roberts, 1991).
Crude effect estimates were obtained from a series of models in which each independent variable (i.e., row) was individually included along with wave as both a fixed and a random effect (except for the model for the interaction term, which also included the main effect of diabetes).
Adjusted effect estimates were obtained from a model including all of the independent variables as fixed effects along with the inclusion of wave and the intercept as random effects. Approximate Wald tests indicated that both the random intercept and random wave effects were highly significant (p < .0001), indicating that their inclusion was essential to the proper specification of the model.