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...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-03-01
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| Series: | Environment International |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S016041202300137X |
| _version_ | 1797868269650051072 |
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| author | Chiara Moccia Costanza Pizzi Giovenale Moirano Maja Popovic Daniela Zugna Antonio d'Errico Elena Isaevska Serena Fossati Mark J. Nieuwenhuijsen Piero Fariselli Tiziana Sanavia Lorenzo Richiardi Milena Maule |
| author_facet | Chiara Moccia Costanza Pizzi Giovenale Moirano Maja Popovic Daniela Zugna Antonio d'Errico Elena Isaevska Serena Fossati Mark J. Nieuwenhuijsen Piero Fariselli Tiziana Sanavia Lorenzo Richiardi Milena Maule |
| author_sort | Chiara Moccia |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-09T23:54:23Z |
| format | Article |
| id | doaj.art-2cb532ed7d884288a62dd274ae3573e3 |
| institution | Directory Open Access Journal |
| issn | 0160-4120 |
| language | English |
| last_indexed | 2024-04-09T23:54:23Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environment International |
| spelling | doaj.art-2cb532ed7d884288a62dd274ae3573e32023-03-17T04:32:28ZengElsevierEnvironment International0160-41202023-03-01173107864Modelling socioeconomic position as a driver of the exposome in the first 18 months of life of the NINFEA birth cohort childrenChiara Moccia0Costanza Pizzi1Giovenale Moirano2Maja Popovic3Daniela Zugna4Antonio d'Errico5Elena Isaevska6Serena Fossati7Mark J. Nieuwenhuijsen8Piero Fariselli9Tiziana Sanavia10Lorenzo Richiardi11Milena Maule12Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte, Turin, Italy; Corresponding author. Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Via Santena 7, 10126 Turin, Italy.Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte, Turin, ItalyCancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte, Turin, ItalyCancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte, Turin, ItalyCancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte, Turin, ItalyCancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte, Turin, ItalyCancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte, Turin, ItalyISGlobal (Barcelona Institute for Global Health), Barcelona, SpainISGlobal (Barcelona Institute for Global Health), Barcelona, SpainDepartment of Medical Sciences, University of Turin, Turin, ItalyDepartment of Medical Sciences, University of Turin, Turin, ItalyCancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte, Turin, ItalyCancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte, Turin, ItalyBackground: 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.http://www.sciencedirect.com/science/article/pii/S016041202300137XExposomeSocioeconomic positionLife course epidemiologyHealth inequalitiesEnvironmental epidemiology |
| spellingShingle | Chiara Moccia Costanza Pizzi Giovenale Moirano Maja Popovic Daniela Zugna Antonio d'Errico Elena Isaevska Serena Fossati Mark J. Nieuwenhuijsen Piero Fariselli Tiziana Sanavia Lorenzo Richiardi Milena Maule Modelling socioeconomic position as a driver of the exposome in the first 18 months of life of the NINFEA birth cohort children Environment International Exposome Socioeconomic position Life course epidemiology Health inequalities Environmental epidemiology |
| title | 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_short | 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 |
| topic | Exposome Socioeconomic position Life course epidemiology Health inequalities Environmental epidemiology |
| url | http://www.sciencedirect.com/science/article/pii/S016041202300137X |
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