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. 2013 Mar 15;13:224. doi: 10.1186/1471-2458-13-224

Table 5.

Multiple regression analyses of the domains in health-related quality of life

Dependent domains SF-36 Significant independent variables Standardized ß P-value Adjusted R2in the model
Physical functioning (PF)
Fatigue (FSS)
-.240
<0.001
0.57
Disability (EDSS)
-.594
<0.001
Age
-.120
0.008
Role physical (RP)
Fatigue (FSS)
-.451
<0.001
0.39
Depression (HAD-D)
-.201
0.009
Gender
.118
0.026
Bodily pain (BP)
Fatigue (FSS)
-.197
0.004
0.31
Cognition(PDQ)
-.159
0.042
Anxiety – HAD-A
-.145
0.052
Depression – HAD-D
-.154
0.055
Age
-.134
0.019
General health (GH)
Fatigue (FSS)
-.322
<0.001
0.35
Anxiety (HAD-A)
-.164
0.028
Age
-.136
0.016
Vitality (VT)
Fatigue(FSS)
-.562
<0.001
0.60
Cognition (PDQ)
-.123
0.038
Depression(HAD-D)
-.182
0.003
Social functioning (SF)
Fatigue (FSS)
-.387
<0.001
0.42
Depression (HAD-D)
-.299
<0.001
Role emotional (RE)
Heat sensitivity
-.107
0.054
0.39
Anxiety (HAD-A)
-.234
<0.001
Depression (HAD-D)
-.322
<0.001
Mental health (MH)
Anxiety(HAD-A)
-.447
<0.001
0.60
  Depression (HAD-D) -.376 <0.001  

Multiple linear regression analyses of the domains in health-related quality of life measured by SF-36 and used as a dependent variable and fatigue, heat sensitivity, cognition, anxiety, depression, disability, age and gender as independent variables.