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Table 5 Multiple regression analyses of the domains in health-related quality of life

From: Work capacity and health-related quality of life among individuals with multiple sclerosis reduced by fatigue: a cross-sectional study

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

 
  1. 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.