Table 2: Hierarchical stepwise multiple regression analysis between predictors and HRQOL (N = 240).

Predictor Variables Model 1 Model 2 Model 3 Model 4
b β t p b β t p b β t p b β t p
Constant Term 83.746 80.600 75.734 82.180
Step 1 Personal Factors
1. Age .018 .020 .482 .630 .029 .032 1.020 .309 .031 .034 1.151 .251 -.007 -.008 -.254 .800
2. Gender-Female -1.687 -.072 -1.723 .086 -1.338 -.057 -1.774 .077 -.801 -.034 -1.122 .263 -.872 -.037 -1.242 .215
3. Nutritional Status -3.644 -.779 -18.662 .000 -2.037 -.436 -10.397 .000 -1.590 -.340 -7.958 .000 -1.494 -.320 -7.511 .000
Step 2
4. Social Support -.479 -.529 -12.777 .000 -.413 -.457 -11.182 .000 -.373 -.412 -9.616 .000
Step 3
5. Pulmonary Function -.113 -.228 -5.736 .000 -.104 -.210 -5.304 .000
Step 4
6. Functional Performance -2.459 -.125 -3.032 .003
R .755 .874 .891 .895
R2 .601 .764 .793 .801
R Change .601 .164 .029 .008
F 118.271 163.264 32.903 9.191
Significant F .000 .000 .000 .003

Note: p < .0