Building on a theoretical model that accounts for the interdependent pathways between work and health throughout the lifecourse, our project will pursue three overarching goals. Firstly, a demographic axis will identify gender-OC-patterns and trends of inequalities in mortality and ill-health. Secondly, a socio-epidemiological axis will explain the underlying mechanisms that link health and work dynamically
through empirical case studies conducted on disabling work accidents and mental health. Lastly, a critical axis will explore the promises and pitfalls of medico-administrative big data to advance knowledge in these fields.
We are among the first populations studies research groups using a novel source of data based on record-linkage, the EDP-santé – EDP for Permanent Demographic Sample, linked with the National Health Data System, SNDS. This large source of longitudinal and multidimensional data is representative of the population living in France.
Funded by the French National Research Agency (ANR), it is led by Emilie COUNIL, a researcher at INED, and involves researchers from the Mortality, Health, Epidemiology unit, and university partners in France (Université Paris-Dauphine, Ecole des Hautes Etudes en Santé Publique, Université Lyon III) and abroad (University of Helsinki, Stockholm University, University of Pennsylvania).