Whilst it is established that children of lower socioeconomic position (SEP) generally have worse mental health outcomes, most existing research is cross-sectional. Longitudinal studies are important for understanding when inequalities first emerge and the course they take (e.g. stable, widening or decreasing). Whilst longitudinal approaches are now commonly used to model inequalities in height and weight they have rarely been used for mental health outcomes. The aim of this project is use data from multiple EU studies to describe how inequalities in key mental health and cognitive outcomes emerge across childhood.

The aim of this project is to investigate the effect of socioeconomic position on trajectories of key mental health and cognitive outcomes across childhood. It will also serve as a ‘proof of concept’ for using DataSHIELD to conduct multilevel analyses. Our specific aims are to (1) to identify the age at which inequalities emerge for different mental health outcomes, and (2) to describe whether inequalities decrease, remain stable, or widen over time.