Table 2.

Results univariable logistic model and backward logistic regression multivariable model

	Univariable			Multivariable
				Model 1a			Model 2b
	OR	95 % CI	p	OR	95 % CI	p	OR	95 % CI	p
Age	0.99	0.97–1.01	0.42	0.99	0.97–1.01	0.42
Partner status	1.48	0.65–3.37	0.34	0.76	0.27–2.17	0.61
Severity complaints(1)	1.33	0.46–3.86	0.59	1.19	0.31–.4.48	0.79
Severity complaints(2)	1.11	0.42–2.92	0.82	0.92	0.24–3.45	0.90
Duration complaints	2.60c	1.05–6.41	0.03*	2.59	0.80–8.43	0.11	2.80	1.06–7.37	0.03*
Comorbidity anxiety	1.57	0.68–3.58	0.28	1.28	0.38–4.28	0.68
Comorbidity physical	0.80	0.25–2.51	0.70	0.96	0.25–3.78	0.96
Neuroticism	1.01	0.95–1.07	0.63	0.98	0.90–1.07	0.98
Loneliness	0.61	0.20–1.88	0.39	0.59	0.15–2.36	0.45
Personal stigma	0.89d, e	0.83–0.96	0.005*	0.91	0.83–0.99	0.04*	0.90	0.84–0.98	0.009*
Perceived stigma	0.99	0.91–1.07	0.85	0.98	0.88–1.09	0.77

Model (χ 2 = 11.92, p = 0.009, df = 2). Note. OR = odds ratio, CI = confidence interval, *Significant at .05

^aModel 1 represents the first model

^bModel 2 represents the final model

^c( χ 2 = 4.31, p = 0.03, df = 1)

^dControlled for three residuals that seem to influence the model

^e(χ 2 = 6.39, p = 0.01, df = 1)