Identification of exposome clusters based on societal, social, built and natural environment - results of the ABCD cohort study
Series / Report no.
Open Access
Type
Article
Language
en
Date
2025-02-15
Research Projects
Organizational Units
Journal Issue
Title
Identification of exposome clusters based on societal, social, built and natural environment - results of the ABCD cohort study
Translated Title
Published in
Environ Int 2025; 197:109335
Abstract
Exposome research has seen a recent increase. The conceptual framework of the Social Exposome extends initial concepts by considering the entirety of societal, social, built and natural environmental exposures which are assumed to holistically impact development and health across the lifecourse. The aim of this study is the identification and characterisation of exposome clusters. Additionally, their relevance for mental health is investigated. To this end 2,850 participants aged 11-12 of the Amsterdam Born Children and their Development (ABCD) Cohort Study were analysed. The exposome was characterized by 60 variables representing the societal, social, built and natural environment. Uniform manifold approximation and projection (UMAP) was applied for dimensionality reduction, and subsequently clustering was performed on the retrieved low-dimensional embedding. Mental health symptoms and behaviour related outcomes were assessed by the Strength and Difficulties Questionnaire (SDQ) as well as the Substance Use Risk Profile Scale (SURPS). The results suggest that exposome clusters are mainly driven by contextual socioeconomic and physical characteristics such as neighborhood income and deprivation rather than social characteristics at the individual level. Moreover, prevalence of children's mental health problems was more prominent within exposome clusters characterized at the contextual level by more deprived neighborhoods and at the individual level by higher prevalence of maternal mental health problems. This exploratory exposome cluster identification emphasized the relevance of socioeconomic neighborhood characteristics, thus structural inequalities.