Keywords: Children's health, distributed lag models, environmental health, functional data analysis, interaction models
Maternal exposure to air pollution has been associated with childrens health outcomes. Recent interest focuses on identifying critical windows of vulnerably during which there is an increased association between material exposures and a future childrens health outcome. In this context, a distributed lag model can be used to estimate the time-varying association between maternal exposure air pollution and children’s health outcomes. In this talk, we present a framework for a functional distributed lag model to estimate the association between time-varying exposures and health outcomes in the presence of interactions between exposures or effect modifier. We use data from US birth cohorts to estimate the relationship between maternal exposure to air pollution and childrens health outcomes.