Table 3.
Linear regression for the association between independent variables of interest and life satisfaction
| Independent variables of interest | Unadjusted β1 (95% CI) | Adjusted β2 (95% CI) |
|---|---|---|
| Quality of life | 0.45 (0.41, 0.49) *** | 0.44 (0.40, 0.48) *** |
| Depression | ||
| Normal | Reference | Reference |
| Moderate | -2.19 (-3.09, -1.29) *** | -2.81 (-3.72, -1.90) *** |
| Severe | -1.94 (-3.08, -0.81) *** | -2.64 (-3.75, -1.52) *** |
| Anxiety | ||
| Normal | Reference | Reference |
| Moderate | -1.48 (-2.44, -0.52) ** | -1.49 (-2.41, -0.56) ** |
| Severe | -2.00 (-2.94, -1.06) *** | -2.71 (-3.68, -1.74) *** |
| Stress | ||
| Normal | Reference | Reference |
| Moderate | -2.31 (-3.23, -1.39) *** | -2.74 (-3.66, -1.82) *** |
| Severe | -0.71 (-2.74, 1.33) | -1.68 (-3.64, 0.27) |
Significant coefficients are bolded. **p < 0.01, ***p < 0.001. 1β is the regression coefficient indicating the change in life satisfaction for each one-unit increase in the predictor, with other variables held constant. A positive β means satisfaction increases, while a negative β signals a decrease. 2Based on the Akaike information criterion, the model was adjusted for age, ethnicity, religion, occupation, and family dependency for daily activities