O3D.6 Inventory of occupational, industrial and population cohorts in switzerland
ContextGiven the importance of harmonization in occupational epidemiology (OE) research, an European network, OMEGA-NET, is developing an inventory of occupational, industrial and population cohorts in Europe. We inventorized existing cohorts in Switzerland and assessed their relevance for OE.MethodsWe identified cohorts based on the review of data repositories and publications of the leading occupational and public health institutions in Switzerland. Cohorts were considered relevant for OE if data on occupation were available. The quality of these data was assessed critically.ResultsIn Switzerland, we found no industrial cohort, one retrospective occupational cohort exposed to magnetic fields [20,141 Swiss Federal Railway workers, cancer morbidity follow-up=1972–2002] and four population-based cohorts relevant for OE: the census-based Swiss National Cohort (SNC) [5.8 million adult residents in Switzerland, mortality by cause follow-up=1990–2014], the Study on Air Pollution And Lung Disease In Adults (SAPALDIA) [n=9,561, lung function and morbidity follow-up=1991-present], CoLaus|PsyCoLaus [6,700 35–75 year-old residents of Lausanne, cardiovascular and mental morbidity follow-up=2003-present], the Swiss Kidney Project on Genes in Hypertension (SKIPOGH) [1134 residents of Lausanne, Geneva and Berne, kidney and metabolic morbidity follow-up=2009-present].Occupation was coded using the International Standard Classification of Occupations (ISCO) only in the SNC (ISCO-68 and ISCO-88) and SAPALDIA (ISCO-88). In SKIPOGH, the Belgian Classification of occupations was used. In CoLaus|PsyCoLaus, occupation remains uncoded. Noteworthy, the percentage of missing occupations is 43%, non-reported, 65% and 61%, respectively.ConclusionHaving detailed high-quality data on multiple health outcomes, the identified Swiss cohorts may represent a valuable contribution to OE research. However, in absence of standardisation in collecting and coding of occupational data in these cohorts, their use in OE is still challenging. Planned harmonization efforts in frame of OMEGA-NET will be beneficial for improving the quality of these data and OE research in Switzerland and abroad.