Multiple regression analysis predicting health-related quality of life
Predictors | β | T | P value |
T1 | |||
Gender | −0.153 | −4.287 | <0.001*** |
Age group | −0.221 | −5.375 | <0.001*** |
Mental resilience | 0.412 | 3.417 | 0.001** |
Subjective support | 0.413 | 4.484 | <0.001*** |
Support utilisation | 0.197 | 3.138 | 0.002** |
Power | 0.153 | 2.302 | 0.022* |
Optimism | 0.141 | 2.743 | 0.006* |
Monthly income | 0.081 | 2.260 | 0.024* |
R2=0.257, R2 adjusted=0.245, F=21.447, p<0.0001 | |||
T2 | |||
Gender | −0.199 | −5.809 | <0.001*** |
Age group | −0.115 | −3.097 | 0.002** |
Power | 0.344 | 5.311 | <0.001*** |
Subjective support | 0.287 | 7.007 | <0.001*** |
R2=0.269, R2 adjusted=0.260, F=31.553, p<0.0001 | |||
T3 | |||
Gender | −0.154 | −4.297 | <0.001*** |
History of smoking | −0.137 | −3.756 | <0.001** |
Diabetes | 0.126 | 4.266 | 0.001** |
Power | 0.269 | 4.700 | <0.001*** |
Social support | 0.808 | 12.972 | <0.001*** |
Subjective support | 1.004 | 15.853 | <0.001*** |
R2=0.428, R2 adjusted=0.417, F=38.407, p<0.001 |
Assignment situation of the independent variables.
Males=1 females=2; age group 50–60=1 60–70=2 70–80=3 80 plus=4.
Monthly income<2000/monthly=1 2000–3999/monthly=2 4000–5999/monthly=3 6000–7999/monthly=4.
History of smoking: smoke=1, no smoking=2.
Diabetes: yes=1, no=2.
Mental resilience, subjective support, support utilisation, power, optimism, Ssocial support=as the raw data entry.
*p<0.05, **p<0.01, ***p<0.001.