Table 2.

Results of univariate logistic regression analysis.

Univariate logistic regression analysis: Influence of subject characteristics on disability (working vs. disabled)
	p-value	OR	95% CI
Dichotomous variables
Less than 1.501 sick days during current period of disability (yes)	0.000*	15.625	5.348–45.455
Income replacement rate greater than 25% (yes)	0.062*	1.926	0.968–3.831
Less than 974 sick days from onset until disability (yes)	0.000*	4.926	2.208–10.989
Age at onset of disability younger than 38 years (yes)	0.035*	2.132	1.054–4.310
Insurance value greater than 147.428 Euro (yes)	0.018*	2.254	1.151–4.417
Socioeconomic status ISEI-08 > 45 (yes)	0.666	1.158	0.596–2.248
Preceding period of occupational disability (no)	0.090*	2.381	0.874–6.494
Residence in East Germany (yes)	0.161*	1.697	0.810–3.546
Unterminated employment (yes)	0.077*	1.882	0.933–3.796
Main diagnosis of occupational disability is affective disorder (yes)	0.452	1.353	0.615–2.976

The dichotomous dependent variable is disability at the time of data collection. *Results with p ≤ 0.200 are significant. Abbreviations: OR, odds ratio; CI, confidence interval.