Abstract
This paper contributes to the understanding of the factors that are significant for returning to work, and identifies factors that might be used early on in a period of sick leave to discern whether people are likely to work again. In the design, the multivariate Partial Least Squares (PLS) of Latent Structures method was used to analyse information from a questionnaire containing socio-demographic items, and information on symptoms, consequences on daily life, expectations and psychosocial factors. Data about the incidence of sickness over a four-year period was included. 121 adults aged 18–64 years on sick leave participated, irrespective of their diagnoses. A reliable prediction of a return to work required the combination of many factors: individual psychosocial instruments are not useful when considered in isolation.
The strongest predictive factors for a return to work concern the individuals' expectations, the number of days of sick leave taken in the past, somatic disorders, and a high level of life satisfaction and sense of coherence. Many factors influence the outcome for people on sick leave: PLS analysis demonstrated that a multivariate approach using this method could predict the long-term outcome early on in a period of sick leave.