Table 3. Multivariate regression: Factors associated with disease burden.
| Independent variable (range) |
Baseline Model1 (R2=.37) |
Model 11 (R2 = .37) |
Model 21 (R2 = .38) |
||||||
|---|---|---|---|---|---|---|---|---|---|
| Parameter Estimate |
95% CL | Standardized Estimate |
Parameter Estimate |
95% CL | Standardized Estimate |
Parameter Estimate |
95% CL | Standardized Estimate |
|
| Physical functioning (0-100) | -0.143 | (-0.178, -0.108) | -0.373 | -0.138 | (-0.175, -0.102) | -0.361 | -0.131 | (-167, -0.095) | -0.342 |
| Financial constraints (0-100) | -0.063 | (-0.100, -0.027) | -0.160 | -0.063 | (-0.099, -0.026) | -0.159 | -0.061 | (-0.098, -0.025) | -0.155 |
| Compound effects of conditions (0-100) | -0.091 | (-0.138, -0.044) | -0.196 | -0.090 | (-0.136, -0.043) | -0.193 | -0.091 | (-0.137, -0.045) | -0.197 |
| Self-efficacy (0-100) | -0.056 | (-0.110, -0.002) | -0.104 | -0.058 | (-0.112, -0.003) | -0.107 | -0.058 | (-0.112, -0.004) | -0.107 |
| Age group (65-74, 75+) | -1.968 | (-3.737, -0.200) | -0.094 | -2.037 | (-3.812, -0.262) | -0.098 | -1.913 | (-3.672, -0.154) | -0.092 |
| Quan comorbidity index (0-14) | ---- | ---- | ---- | 0.168 | (-0.203, 0.539) | 0.041 | ---- | ---- | ---- |
| Chronic Disease Score (0-21) | ---- | ---- | ---- | ---- | ---- | ---- | 0.306 | (0.030, 0.583) | 0.098 |
1
The three multiple linear regression models evaluate disease burden as a function of the biopsychosocial factors, demographic characteristics, and different data-based measures of morbidity. The first model consists of an assessment of the baseline contribution of the independent variables without including a morbidity index in the model. The second model incorporates the Quan morbidity index, and the third incorporates the CDS.