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.