Modelling socioeconomic position as a driver of the exposome in the first 18 months of life of the NINFEA birth cohort children

Background. The exposome drivers are less studied than its consequences but may be crucial in identifying population subgroups with unfavourable exposures. Objectives. We used three approaches to study the socioeconomic position (SEP) as a driver of the early-life exposome in Turin children of the N...

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Autores: Moccia, Chiara, Pizzi, Costanza, Moirano, Giovenale, Popovic, Maja, Zugna, Daniela, D'Errico, Antonio, Isaevska, Elena, Fossati, Serena, Nieuwenhuijsen, Mark J., Fariselli, Piero, Sanavia, Tiziana, Richiardi, Lorenzo, Maule, Milena
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/70231
Acesso em linha:http://hdl.handle.net/10230/70231
http://dx.doi.org/10.1016/j.envint.2023.107864
Access Level:acceso abierto
Palavra-chave:Exposome
Socioeconomic position
Life course epidemiology
Health inequalities
Environmental epidemiology
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spelling Modelling socioeconomic position as a driver of the exposome in the first 18 months of life of the NINFEA birth cohort childrenMoccia, ChiaraPizzi, CostanzaMoirano, GiovenalePopovic, MajaZugna, DanielaD'Errico, AntonioIsaevska, ElenaFossati, SerenaNieuwenhuijsen, Mark J.Fariselli, PieroSanavia, TizianaRichiardi, LorenzoMaule, MilenaExposomeSocioeconomic positionLife course epidemiologyHealth inequalitiesEnvironmental epidemiologyBackground. The exposome drivers are less studied than its consequences but may be crucial in identifying population subgroups with unfavourable exposures. Objectives. We used three approaches to study the socioeconomic position (SEP) as a driver of the early-life exposome in Turin children of the NINFEA cohort (Italy). Methods. Forty-two environmental exposures, collected at 18 months of age (N = 1989), were classified in 5 groups (lifestyle, diet, meteoclimatic, traffic-related, built environment). We performed cluster analysis to identify subjects sharing similar exposures, and intra-exposome-group Principal Component Analysis (PCA) to reduce the dimensionality. SEP at childbirth was measured through the Equivalised Household Income Indicator. SEP-exposome association was evaluated using: 1) an Exposome Wide Association Study (ExWAS), a one-exposure (SEP) one-outcome (exposome) approach; 2) multinomial regression of cluster membership on SEP; 3) regressions of each intra-exposome-group PC on SEP. Results. In the ExWAS, medium/low SEP children were more exposed to greenness, pet ownership, passive smoking, TV screen and sugar; less exposed to NO2, NOX, PM25abs, humidity, built environment, traffic load, unhealthy food facilities, fruit, vegetables, eggs, grain products, and childcare than high SEP children. Medium/low SEP children were more likely to belong to a cluster with poor diet, less air pollution, and to live in the suburbs than high SEP children. Medium/low SEP children were more exposed to lifestyle PC1 (unhealthy lifestyle) and diet PC2 (unhealthy diet), and less exposed to PC1s of the built environment (urbanization factors), diet (mixed diet), and traffic (air pollution) than high SEP children. Conclusions. The three approaches provided consistent and complementary results, suggesting that children with lower SEP are less exposed to urbanization factors and more exposed to unhealthy lifestyles and diet. The simplest method, the ExWAS, conveys most of the information and is more replicable in other populations. Clustering and PCA may facilitate results interpretation and communication.The NINFEA study was partially funded by the Compagnia San Paolo Foundation. This research was partially funded by the Italian Ministry for Education, University and Research (Ministero dell’Istruzione, dell’Università e della Ricerca – MIUR) under the programme “Dipartimenti di Eccellenza 2018–2022“, by the European Union’s Horizon2020 research and innovation programme ATHLETE, grant agreement number 874583. This publication reflects only the authors’ view and the European Commission is not responsible for any use that may be made of the information it contains.Elsevier202520252023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/70231http://dx.doi.org/10.1016/j.envint.2023.107864http://hdl.handle.net/10230/70231reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésEnvironment International. 2023 Mar;173:107864info:eu-repo/grantAgreement/EC/H2020/874583© The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).http://creativecommons.org/licenses/bync-nd/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/702312026-05-29T05:05:01Z
dc.title.none.fl_str_mv Modelling socioeconomic position as a driver of the exposome in the first 18 months of life of the NINFEA birth cohort children
title Modelling socioeconomic position as a driver of the exposome in the first 18 months of life of the NINFEA birth cohort children
spellingShingle Modelling socioeconomic position as a driver of the exposome in the first 18 months of life of the NINFEA birth cohort children
Moccia, Chiara
Exposome
Socioeconomic position
Life course epidemiology
Health inequalities
Environmental epidemiology
title_short Modelling socioeconomic position as a driver of the exposome in the first 18 months of life of the NINFEA birth cohort children
title_full Modelling socioeconomic position as a driver of the exposome in the first 18 months of life of the NINFEA birth cohort children
title_fullStr Modelling socioeconomic position as a driver of the exposome in the first 18 months of life of the NINFEA birth cohort children
title_full_unstemmed Modelling socioeconomic position as a driver of the exposome in the first 18 months of life of the NINFEA birth cohort children
title_sort Modelling socioeconomic position as a driver of the exposome in the first 18 months of life of the NINFEA birth cohort children
dc.creator.none.fl_str_mv Moccia, Chiara
Pizzi, Costanza
Moirano, Giovenale
Popovic, Maja
Zugna, Daniela
D'Errico, Antonio
Isaevska, Elena
Fossati, Serena
Nieuwenhuijsen, Mark J.
Fariselli, Piero
Sanavia, Tiziana
Richiardi, Lorenzo
Maule, Milena
author Moccia, Chiara
author_facet Moccia, Chiara
Pizzi, Costanza
Moirano, Giovenale
Popovic, Maja
Zugna, Daniela
D'Errico, Antonio
Isaevska, Elena
Fossati, Serena
Nieuwenhuijsen, Mark J.
Fariselli, Piero
Sanavia, Tiziana
Richiardi, Lorenzo
Maule, Milena
author_role author
author2 Pizzi, Costanza
Moirano, Giovenale
Popovic, Maja
Zugna, Daniela
D'Errico, Antonio
Isaevska, Elena
Fossati, Serena
Nieuwenhuijsen, Mark J.
Fariselli, Piero
Sanavia, Tiziana
Richiardi, Lorenzo
Maule, Milena
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Exposome
Socioeconomic position
Life course epidemiology
Health inequalities
Environmental epidemiology
topic Exposome
Socioeconomic position
Life course epidemiology
Health inequalities
Environmental epidemiology
description Background. The exposome drivers are less studied than its consequences but may be crucial in identifying population subgroups with unfavourable exposures. Objectives. We used three approaches to study the socioeconomic position (SEP) as a driver of the early-life exposome in Turin children of the NINFEA cohort (Italy). Methods. Forty-two environmental exposures, collected at 18 months of age (N = 1989), were classified in 5 groups (lifestyle, diet, meteoclimatic, traffic-related, built environment). We performed cluster analysis to identify subjects sharing similar exposures, and intra-exposome-group Principal Component Analysis (PCA) to reduce the dimensionality. SEP at childbirth was measured through the Equivalised Household Income Indicator. SEP-exposome association was evaluated using: 1) an Exposome Wide Association Study (ExWAS), a one-exposure (SEP) one-outcome (exposome) approach; 2) multinomial regression of cluster membership on SEP; 3) regressions of each intra-exposome-group PC on SEP. Results. In the ExWAS, medium/low SEP children were more exposed to greenness, pet ownership, passive smoking, TV screen and sugar; less exposed to NO2, NOX, PM25abs, humidity, built environment, traffic load, unhealthy food facilities, fruit, vegetables, eggs, grain products, and childcare than high SEP children. Medium/low SEP children were more likely to belong to a cluster with poor diet, less air pollution, and to live in the suburbs than high SEP children. Medium/low SEP children were more exposed to lifestyle PC1 (unhealthy lifestyle) and diet PC2 (unhealthy diet), and less exposed to PC1s of the built environment (urbanization factors), diet (mixed diet), and traffic (air pollution) than high SEP children. Conclusions. The three approaches provided consistent and complementary results, suggesting that children with lower SEP are less exposed to urbanization factors and more exposed to unhealthy lifestyles and diet. The simplest method, the ExWAS, conveys most of the information and is more replicable in other populations. Clustering and PCA may facilitate results interpretation and communication.
publishDate 2023
dc.date.none.fl_str_mv 2023
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/70231
http://dx.doi.org/10.1016/j.envint.2023.107864
http://hdl.handle.net/10230/70231
url http://hdl.handle.net/10230/70231
http://dx.doi.org/10.1016/j.envint.2023.107864
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Environment International. 2023 Mar;173:107864
info:eu-repo/grantAgreement/EC/H2020/874583
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/bync-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/bync-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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