Table 3

Logistic regression analyses of capacity for work
Dependent variable Predictors OR 95%Cl P-value
Capacity for work Fatigue (FSS-mean) 0.75 0.57-0.99 0.041
Disability (EDSS) (0–6.5) 0.53 0.43-0.65 <0.001
Sex (male = 2) 4.34 1.76-10.67 0.001
Educational level 3.9 1.6-9.1 0.002
Age 0.93 0.90-0.97 <0.001

The significant factors in the logistic regression analyses of capacity for work, dichotomized as full or limited = 1 or non capacity = 0 as a dependent variable, and fatigue, heat sensitivity, cognition, anxiety, depression, disability, gender, educational level and age as independent variables.

R2 Nagelkerke = 0.54.

Flensner et al.

Flensner et al. BMC Public Health 2013 13:224   doi:10.1186/1471-2458-13-224

Open Data