Table 4.

Results of logistic regression analysis to estimate the effect of the characteristics on the odds of high SA during follow up, N = 209 (2012–2014)

Characteristic	Univariable analysis			Multivariable analysis			After backward elimination
	OR (95%CI)	P value	β	OR (95%CI)	P value	β	OR (95%CI)	P value	β
Work-relatedness	1.79 (0.83–3.84)	0.13	0.58	1.33 (0.56–3.15)	0.52	0.28	–	–	–
Age > 50	2.83 (1.32–6.07)	<0.01	1.04	2.37 (1.01–5.59)	<0.05	0.86	2.43 (1.08–5.46)	0.03	0.89
Male gender	1.23 (0.58–2.60)	0.58	0.21	0.86 (0.36–2.05)	0.74	−0.15	–	–	–
Health fair or poor	3.43 (1.50–7.83)	<0.01	1.23	1.22 (0.46–3.24)	0.69	0.20	–	–	–
Presence of chronic illness	3.53 (1.62–7.67)	<0.01	1.26	2.72 (1.14–6.47)	0.02	1.00	3.20 (1.42–7.23)	<0.01	1.16
SA > 5 days	4.04 (1.87–8.73)	<0.01	1.40	2.08 (0.84–5.12)	0.11	0.73	–	–	–
Visits to GP ≥ 3	2.24 (1.05–4.82)	0.04	0.81	1.14 (0.47–2.76)	0.76	0.14	–	–	–
Low work ability expectations (RTW SE score ≤ 5)	3.43 (1.51–7.80)	<0.01	1.23	2.52 (0.97–6.56)	0.06	0.92	3.63 (1.54–8.54)	<0.01	1.29

OR, odds ratio; 95% CI, 95% confidence interval; β, regression coefficient.