Using epidemiology data towards causal inference - a platform for risk assessment of chemicals

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What can happen when children get exposed to mixtures of endocrine-disrupting chemicals? The Swedish SELMA study followed about 2,000 mother-child pairs from early pregnancy over birth and up to school age.

Results from observational data in epidemiological studies are very seldom used in the risk assessment of chemicals. One reason for this is that such data most often is deemed as not causal since they don´t follow a gold standard for randomized control trial designs. This is of course true, however, with new approaches, environmental epidemiology can move towards causal inference.

In this video, Professor Carl-Gustaf Bornehag will present a scientific platform based on the Swedish SELMA study, a pregnancy cohort following about 2,000 mother-child pairs from early pregnancy over birth and up in school-age of the children.

Carl-Gustaf Bornehag is Professor in Public Health Sciences and works at the Department of Health Sciences at Karlstad University, and also at the Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  1. the FRAM Centre at the University of Gothenburg
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