Abstract
There is increasing emphasis in research in occupation and health using large-scale massive cohort data. There are studies based on individual population or patient registries at the national or regional level as well as combined analysis of data from registries across several countries. There are also consortia of cohort studies to combine data from multiple cohorts on specific topics. Recent efforts in Europe have sought to inventory numerous existing occupational cohort studies and to integrate their data to ultimately lead to more definitive research. Advancements in theoretical frameworks to study occupation and health, consensus definitions, and recommendations for future research have been described. Exposome research concepts have also recently been extended to the field of occupation and health. An overview of recent efforts in large cohort and massive data in occupational health is presented along with a description of associated strengths and limitations. Challenges in integrating cohort data for research in occupation and health are described.
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Acknowledgments
MCT is funded by a Ramón y Cajal fellowship (RYC-2017-01892) from the Spanish Ministry of Science, Innovation and Universities and cofunded by the European Social Fund. ISGlobal acknowledges support from the Spanish Ministry of Science and Innovation through the “Centro de Excelencia Severo Ochoa 2019-2023” Program (CEX2018-000806-S), and support from the Generalitat de Catalunya through the CERCA Program. COST Action CA16216 (OMEGA-NET) was supported by COST (European Cooperation in Science and Technology). EPHOR is funded by the European Union’s Horizon 2020 research and innovation program under grant agreement No 874703.
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Mehlum, I.S., Turner, M.C. (2023). Challenges of Large Cohort and Massive Data in Occupational Health. In: Wahrendorf, M., Chandola, T., Descatha, A. (eds) Handbook of Life Course Occupational Health. Handbook Series in Occupational Health Sciences. Springer, Cham. https://doi.org/10.1007/978-3-031-30492-7_3
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