The course aims to provide basic understanding of the key theories and concepts in lifecourse epidemiology: how events and conditions throughout the life course, from preconception and fetal period onwards, shape the frames for lifelong health and well-being.
While the module does not include numerical statistical training, the module will discuss the choice of statistical method appropriate to study question and context. We also focus on causal inference and related tools including directed acyclic graphs. The module will also discuss important early life exposures (pregnancy disorders, perinatal epidemiology; socio-economic adversities and early life stress; environmental toxins and infections) and later-life outcomes (non-communicable and mental health disorders and other human capital outcomes). The module will also touch basis on key lifecourse epidemiology datasets, with Northern Finland Birth Cohorts and Finnish national register-linkage studies as examples, and history of lifecourse epidemiology and birth cohort studies.