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. 2014 Nov 25;7(3):161–170. doi: 10.5539/gjhs.v7n3p161

Table 5.

Linear regression analysis of the SF-36 scores

Independent Variables Regression Coefficient of the SF-36 Subscales (P-value)¦

PF RP BP VT GH SF RE MH
Gender (reference: female) -2.280* -0.397 0.096 0.990* 0.514 NS -0.353 NS
Years of education (reference: >12 years) NS NS NS NS -0.359 NS NS NS
Working status (reference: employed) NS NS NS
Unemployed 0.738 -0.376 -1.257* -0.398 0.284
Retired -0.627 0.290 0.742 0.318 -0.421
Regular exercise (reference: yes) -1.930* -0.873 NS NS NS NS NS -0.363
Age -0.221 NS NS NS NS NS NS NS
BMI -0.043 NS 0.025 -0.05 0.049 NS NS NS
With depressive symptoms -2.008* -0.396 -0.730* NS NS NS -1.694 -0.892*
With malnutrition/at risk of malnutrition -1.670* -1.855 -0.437 -0.764* -0.640 NS -0.166 -0.368
R-square (Adjusted) 0.216 0.133 0.104 0.077 0.051 - 0.100 0.045
*

P <0.05,

P <0.01,

P <0.001.

¦

Adjusted for all other variables in the table except for those marked with “NS”. NS – Not significant in univariate analysis thus not included in the linear regression for the quality of life scores. PF: Physical functioning; RP: Role limitations due to physical problems; BP: Bodily pain; GH: General health; VT: Vitality; SF: Social functioning; RE: Role limitations due to emotional problems; MH: Mental health.