Table 2.

Logistic regression models with DB application as outcome, aged 18–55, N = 18,465 (weighted estimates)

	Model 1			Model 2			Model 3
	OR	95% CI	p-value	OR	95% CI	p-value	OR	95% CI	p-value
Long-term health-related activity limitation
No	1			1			1
Yes	2.79	1.25–6.22	0.012	2.81	1.27–6.23	0.011	2.88	1.29–6.44	0.010
Sex
Female				1			1
Male				1.04	0.79–1.35	0.791	0.95	0.71–1.25	0.696
Country of birth
Switzerland				1			1
Outside of Switzerland				1.73	1.31–2.28	0.000	1.75	1.32–2.32	0.000
Working partner in household
Yes				1			1
No				1.48	1.12–1.96	0.006	1.54	1.17–2.02	0.002
Child aged 0–14 years in household
Yes				1			1
No				1.74	1.31–2.32	0.000	1.70	1.29–2.26	0.000
Age group
40–55				1			1
18–39				1.49	1.14–1.93	0.003	1.41	1.09–1.83	0.009
Learnt occupation
Not applicable							1
Agriculture							1.32	0.33–5.22	0.692
Manufacturing							2.75	1.68–4.50	0.000
Technical activities and ICT							1.50	0.90–2.52	0.120
Construction and mining							2.03	1.13–3.66	0.018
Trade and transport							2.12	1.30–3.45	0.003
Personal services							1.56	0.85–2.85	0.152
Business and administration							1.68	1.03–2.72	0.036
Health, teaching, culture, and science							1.55	1.05–2.29	0.026
Not classifiable							1.46	0.63–3.40	0.374
Registered unemployment and LMM in past 5 years
No							1
Registered unemployment but no LMM							1.29	0.88–1.89	0.192
Registered unemployment and LMM							0.68	0.43–1.07	0.096
Homeowner
Yes							1
No							1.44	1.07–1.94	0.016
Region
Espace Mittelland							1
Lake Geneva Region							0.88	0.58–1.33	0.547
Northwestern Switzerland							0.93	0.60–1.43	0.744
Zurich							1.02	0.68–1.54	0.907
Eastern Switzerland							0.60	0.37–0.96	0.034
Central Switzerland							0.74	0.45–1.23	0.252
Ticino							0.60	0.30–1.21	0.154

Dummy variables for missing vales were included in all models. DB: disability insurance benefit, LMM: labour market measures