Table 3

Multiple regression analysis predicting health-related quality of life

PredictorsβTP value
T1
Gender−0.153−4.287<0.001***
Age group−0.221−5.375<0.001***
Mental resilience0.4123.4170.001**
Subjective support0.4134.484<0.001***
Support utilisation0.1973.1380.002**
Power0.1532.3020.022*
Optimism0.1412.7430.006*
Monthly income0.0812.2600.024*
R2=0.257, R2 adjusted=0.245, F=21.447, p<0.0001
T2
Gender−0.199−5.809<0.001***
Age group−0.115−3.0970.002**
Power0.3445.311<0.001***
Subjective support0.2877.007<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**
Diabetes0.1264.2660.001**
Power0.2694.700<0.001***
Social support0.80812.972<0.001***
Subjective support1.00415.853<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.