Summary
This project aims to characterize children's environmental exposure to tobacco, cannabis, and nicotine smoke/vapor emissions across developmental stages and examine its impact on mental health symptom trajectories using the ECHO dataset.
What they want
The project will use the Environmental Influences on Child Health Outcomes (ECHO) dataset, a large, national sample of longitudinal, observational data, to accomplish two main aims. First, it will characterize environmental tobacco smoke (ETS), electronic nicotine delivery systems vapor (ENV), and environmental cannabis smoke (ECS) emission exposure subgroups at five timepoints: prenatal period, infancy, early childhood, middle childhood, and adolescence. This includes identifying sociodemographic and primary caregiver mental health characteristics associated with exposure group membership and specifying stability and changes in exposure group transitions across these developmental periods to delineate trajectories. Second, the project will examine how exposure during the prenatal period predicts trajectories of internalizing and externalizing symptoms across early childhood, middle childhood, and adolescence. The research will account for co-occurring smoke and vapor longitudinally and potential confounds such as maternal psychological stress.
Deliverables
- Characterization of ETS, ENV, and ECS emission exposure subgroups across developmental periods
- Identification of sociodemographic and primary caregiver mental health characteristics associated with exposure group membership
- Specification of stability and changes in ETS, ENV, and ECS exposure group transitions and delineation of trajectories
- Examination of how prenatal exposure predicts trajectories of internalizing and externalizing symptoms across early childhood, middle childhood, and adolescence
- Insights to inform policy prevention and public understanding of emergent hazards related to environmental smoke and vapor exposure
Technical requirements
- Utilization of the Environmental Influences on Child Health Outcomes (ECHO) dataset
- Longitudinal observational data analysis
Key personnel
- Dissertation grant applicant/researcher