Toward a more holistic approach to the study of exposures and child outcomes
Year: 2024
Type: article
Study design: Observational Study
Abstract: Aim: The current work was designed to demonstrate the application of the exposome framework in examining associations between exposures and children's long-term neurodevelopmental and behavioral outcomes. Methods: Longitudinal data were collected from birth through age 6 from 402 preterm infants. Three statistical methods were utilized to demonstrate the exposome framework: exposome-wide association study, cumulative exposure and machine learning models, with and without epigenetic data. Results: Each statistical approach answered a distinct research question regarding the impact of exposures on longitudinal child outcomes. Findings highlight associations between exposures, epigenetics and executive function. Conclusion: Findings demonstrate how an exposome-based approach can be utilized to understand relationships between internal (e.g., DNA methylation) and external (e.g., prenatal risk) exposures and long-term developmental outcomes in preterm children.
Source: Epigenomics
Language: English
Subfield: Health, Toxicology and Mutagenesis
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
Awards: Neonatal Neurobehavior and Outcomes in Very Preterm Infants, G2506393720, ENVIRONMENTAL INFLUENCES ON NEURODEVELOPMENTAL OUTCOME IN INFANTS BORN VERY PRETERM, Longitudinal Antecedents of Attention Problems in Very Preterm Children: Role of Epigenetics, Executive Function, and Caregiver Psychological Distress, Human Health Exposure Analysis Resource (HHEAR) Data Center, Epigenetic Markers, Trajectories and Predictors of Neurodevelopment in Childhood among Infants Born Very Preterm
OpenAlex ID: W4392811269
