A wide range of different environmental factors from before birth to early childhood (for example maternal stress and depression, family income, childhood maltreatment, or the home food environment) contributes to increased risk for developing mental and physical health problems later in life. Usually, these factors are studied in isolation, without considering how they might interact and affect each other. In our project at the McGill Douglas Mental Health University Institute, we want to analyse all of these factors in one statistical model and see whether they cluster into different subdomains. We will then investigate if those subdomains are predictive of behavioural and cognitive problems, body mass index, and epigenetic aging.