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Abstract
Cancer incidence and survival rates have increased in the last decades and as a result, the number of working age people diagnosed with cancer who return to work. In this study the probability of accumulating days of employment and employment participation trajectories (EPTs) in a sample of salaried workers in Catalonia (Spain) who had a sickness absence (SA) due to cancer were compared to salaried workers with SA due to other diagnoses or without SA. Each individual with SA due to cancer between 2012 and 2015 was matched by age, sex, and onset of time at risk to a worker with SA due to other diagnoses and another worker without SA. Accumulated days of employment were measured, and negative binomial models were applied to assess differences between comparison groups. Latent class models were applied to identify EPTs and multinomial regression models to analyse the probability of belonging to one EPT of each group. Men and women without SA or with SA due to other diagnoses had at least a 9% higher probability of continuing in employment compared to workers who had a SA due to cancer, especially among men without SA (adjusted IRR 1.27, 95% CI 1.06‒1.53). Men without SA had the highest probability of having high stable EPT compared to workers who had a SA due to cancer (adjusted RRR 3.21, 95% CI 1.87‒5.50). Even though workers with SA due to cancer continue working afterwards, they do it less often than matched controls and with a less stable employment trajectory. Health and social protection systems should guaranty cancer survivors the opportunity to continue voluntary participation in the labour market.
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1 Universitat Pompeu Fabra, Center for Research in Occupational Health (CiSAL), Barcelona, Spain (GRID:grid.5612.0) (ISNI:0000 0001 2172 2676); CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain (GRID:grid.466571.7) (ISNI:0000 0004 1756 6246); IMIM – Parc Salut Mar, Barcelona, Spain (GRID:grid.20522.37) (ISNI:0000 0004 1767 9005)
2 Universitat Pompeu Fabra, Center for Research in Occupational Health (CiSAL), Barcelona, Spain (GRID:grid.5612.0) (ISNI:0000 0001 2172 2676); CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain (GRID:grid.466571.7) (ISNI:0000 0004 1756 6246); IMIM – Parc Salut Mar, Barcelona, Spain (GRID:grid.20522.37) (ISNI:0000 0004 1767 9005); University of Girona, Research Group On Statistics, Econometrics and Health (GRECS), Girona, Spain (GRID:grid.5319.e) (ISNI:0000 0001 2179 7512)
3 Universitat Pompeu Fabra, Center for Research in Occupational Health (CiSAL), Barcelona, Spain (GRID:grid.5612.0) (ISNI:0000 0001 2172 2676)