Table 2 Hierarchical regression of the influence of frailty on PCS
Predictors | β | t | p | |
|---|---|---|---|---|
Model 1 (R2 = .133, p = .004) | Female | -.155 | −1.749 | .082 |
Age | -.265 | −3.101 | .002 | |
College graduate | .027 | .330 | .742 | |
Living with spouse | .108 | 1.328 | .186 | |
Diabetes (Yes) | -.060 | -.762 | .447 | |
Hypertension (Yes) | -.088 | −1.124 | .263 | |
Employed | -.020 | -.239 | .812 | |
eGFR (mL/min/1.73 m2) | .063 | .759 | .449 | |
Model 2(R2 = .423, R2 change = .29, p < .001) | Female | -.063 | -.859 | .392 |
Age | -.124 | −1.732 | .085 | |
College graduate | .021 | .312 | .756 | |
Living with spouse | .081 | 1.219 | .225 | |
Diabetes (Yes) | -.079 | −1.225 | .222 | |
Hypertension (Yes) | -.030 | -.469 | .640 | |
Employed | .051 | .757 | .450 | |
eGFR (mL/min/1.73 m2) | .040 | .590 | .556 | |
Frailty (Yes) | -.566 | −8.792 | < .001 |