A sustainable new working life – trends, health effects and governance
The structures of the Swedish labour markets are rapidly changing, and challenge current systems to ensure sustainable working conditions. These changes are not monitored sufficiently through current information systems based on surveys and workers’ compensation claims.
The aims of the programme are to:
- Assess trends in working conditions throughout the labour market, overall and with stratification to cover heterogeneity associated with e.g. age, gender, and ethnicity
- Explore the health impact of working conditions in a life-course perspective, taking the full complexity of multiple exposures into account
- Systematically explore the impact of different approaches to governance, from the changes in the institutional framework to soft-law and knowledge alliances.
The proposed programme will establish a comprehensive set of job-exposure matrices (JEM) on various occupational exposures and employment conditions, gender balance and training opportunities linked to data on occupational titles, company size and industry. These data will be matched to a data base including the entire population in Sweden in the LISA-register from 1990 and onwards, and outcomes (health, work participation etc.) from national registers. A series of longitudinal epidemiological studies will be performed of determinants for entry, exit (and re-entry) into work, as well as health-impact assessments of various work environment factors. Finally, the efficiency of different approaches to governance of the work environment will be systematically explored in a series of studies performed in close collaboration with major stakeholders on a local and national level (e.g. social partners, schools, municipalities, and national governing bodies).
The programme is financed by FORTE and is performed by a multidisciplinary team of researchers, involving experts in occupational epidemiology, social epidemiology, law, labour economics, work organization, exposure science, biostatistics, and computer science.