Background: Longitudinal studies are required to understand more about the complex RTW process after rehabilitation and to explore if there are different sick-leave patterns between different sociodemographic subgroups. The aim of this study was to examine if duration of sick-leave before rehabilitation and socio-demographic factors as gender, age, medical diagnosis, and occupation predict different sick-leave patterns or RTW outcomes in a 5-year follow-up period after a 4-weeks inpatient occupational rehabilitation program. Methods: The sample consisted of 584 patients (66% females, mean age 44 years [sd=9.3], long-term sick-listed; mean duration 9.3 months [sd=3.4] for psychological (47%), musculoskeletal (46%) and unspecific/other diagnosis (7%). Register data from The National Insurance Administration in Norway was analysed in an 8 state-model: working, graded sick-listed, sick-listed, medical rehabilitation, vocational rehabilitation, part-time disability pension, time-limited disability pension and permanent disability pension. Extended proportional hazards regression models, were applied to analyze socio-demographic prognostic factors for shifting between any of the 8 states during the 5 years follow up. Background: Evidence on the association between social status inconsistency (SI) and self-reported health is limited and mixed.