Effect of residential relocation on environmental exposures in European cohorts: An exposome-wide approach

Apolline Saucy; Ulrike Gehring; Sergio Olmos; Cyrille Delpierre; Jeroen de Bont; Olena Gruzieva; Kees de Hoogh; Anke Huss; Petter Ljungman; Erik Melén; Åsa Persson; Inka Pieterson; Marjan Tewis; Zhebin Yu; Roel Vermeulen; Jelle Vlaanderen; Cathryn Tonne

doi:10.1016/j.envint.2023.107849

Effect of residential relocation on environmental exposures in European cohorts: An exposome-wide approach

Apolline Saucy, Ulrike Gehring, Sergio Olmos, Cyrille Delpierre, Jeroen de Bont, Olena Gruzieva, Kees de Hoogh, Anke Huss, Petter Ljungman, Erik Melén, Åsa Persson, Inka Pieterson, Marjan Tewis, Zhebin Yu, Roel Vermeulen, Jelle Vlaanderen, Cathryn Tonne^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Residential relocation is increasingly used as a natural experiment in epidemiological studies to assess the health impact of changes in environmental exposures. Since the likelihood of relocation can be influenced by individual characteristics that also influence health, studies may be biased if the predictors of relocation are not appropriately accounted for. Using data from Swedish and Dutch adults (SDPP, AMIGO), and birth cohorts (BAMSE, PIAMA), we investigated factors associated with relocation and changes in multiple environmental exposures across life stages. We used logistic regression to identify baseline predictors of moving, including sociodemographic and household characteristics, health behaviors and health. We identified exposure clusters reflecting three domains of the urban exposome (air pollution, grey surface, and socioeconomic deprivation) and conducted multinomial logistic regression to identify predictors of exposome trajectories among movers. On average, 7 % of the participants relocated each year. Before relocating, movers were consistently exposed to higher levels of air pollution than non-movers. Predictors of moving differed between the adult and birth cohorts, highlighting the importance of life stages. In the adult cohorts, moving was associated with younger age, smoking, and lower education and was independent of cardio-respiratory health indicators (hypertension, BMI, asthma, COPD). Contrary to adult cohorts, higher parental education and household socioeconomic position were associated with a higher probability of relocation in birth cohorts, alongside being the first child and living in a multi-unit dwelling. Among movers in all cohorts, those with a higher socioeconomic position at baseline were more likely to move towards healthier levels of the urban exposome. We provide new insights into predictors of relocation and subsequent changes in multiple aspects of the urban exposome in four cohorts covering different life stages in Sweden and the Netherlands. These results inform strategies to limit bias due to residential self-selection in epidemiological studies using relocation as a natural experiment.

Original language	English
Article number	107849
Pages (from-to)	1-12
Number of pages	12
Journal	Environment international
Volume	173
Early online date	26 Feb 2023
DOIs	https://doi.org/10.1016/j.envint.2023.107849
Publication status	Published - 1 Mar 2023

Bibliographical note

Publisher Copyright:
© 2023 The Author(s)

Funding

The EXPANSE project is funded by the European Union's Horizon 2020 research and innovation programme under grand agreement No 874627. This research has received funding from the EXPOSOME-NL Gravitation program of the Dutch Ministry of Education, Culture, and Science and the Netherlands Organization for Scientific Research (NWO grant number 024.004.017). AS has received funding from the Swiss National Science Foundation (grant number 210781). We acknowledge collaborators involved in the EXPANSE project and those who participated in the cohort data collection and preparation for this research. The AMIGO cohort was funded by the Netherlands Organisation for Health Research and Development (ZonMw) within the Electromagnetic Fields and Health Research programme (grant numbers 85200001 and 85200002). The SDPP cohort was funded by the Stockholm County Council, the Swedish Research Council, the Swedish Diabetes Association, and Novo Nordisk Scandinavia. The PIAMA study was supported by The Netherlands Organization for Health Research and Development; The Dutch Research Council (NWO); The Lung Foundation Netherlands; The Netherlands Ministry of Spatial Planning, Housing, and the Environment; The Netherlands Ministry of Health, Welfare, and Sport; and The National Institute for Public Health and the Environment. The BAMSE study was supported by grants from the Swedish Research Council (2016-03086; 2020-01886), the Swedish Heart-Lung Foundation, Region Stockholm (ALF project, and for cohort and database maintenance).

Funders	Funder number
Dutch Ministry of Education, Culture, and Science
EXPOSOME-NL
National Institute for Public Health and the Environment	2016-03086, 2020-01886
Netherlands Ministry of Health, Welfare, and Sport
Netherlands Ministry of Spatial Planning
Novo Nordisk Scandinavia
Swedish Diabetes Association
Horizon 2020 Framework Programme	874627
European Commission
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung	210781
ZonMw	85200002, 85200001
Nederlandse Organisatie voor Wetenschappelijk Onderzoek	024.004.017
Hjärt-Lungfonden
Stockholms Läns Landsting
Vetenskapsrådet
Lung Foundation Netherlands

Keywords

Urban exposome
Residential relocation
Movers
Air pollution
Built environment
Social environment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.envint.2023.107849Licence: CC BY-NC-ND

1-s2.0-S0160412023001228-mainFinal published version, 2.48 MBLicence: CC BY-NC-ND

Cite this

Saucy, A., Gehring, U., Olmos, S., Delpierre, C., de Bont, J., Gruzieva, O., de Hoogh, K., Huss, A., Ljungman, P., Melén, E., Persson, Å., Pieterson, I., Tewis, M., Yu, Z., Vermeulen, R., Vlaanderen, J., & Tonne, C. (2023). Effect of residential relocation on environmental exposures in European cohorts: An exposome-wide approach. Environment international, 173, 1-12. Article 107849. https://doi.org/10.1016/j.envint.2023.107849

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abstract = "Residential relocation is increasingly used as a natural experiment in epidemiological studies to assess the health impact of changes in environmental exposures. Since the likelihood of relocation can be influenced by individual characteristics that also influence health, studies may be biased if the predictors of relocation are not appropriately accounted for. Using data from Swedish and Dutch adults (SDPP, AMIGO), and birth cohorts (BAMSE, PIAMA), we investigated factors associated with relocation and changes in multiple environmental exposures across life stages. We used logistic regression to identify baseline predictors of moving, including sociodemographic and household characteristics, health behaviors and health. We identified exposure clusters reflecting three domains of the urban exposome (air pollution, grey surface, and socioeconomic deprivation) and conducted multinomial logistic regression to identify predictors of exposome trajectories among movers. On average, 7 % of the participants relocated each year. Before relocating, movers were consistently exposed to higher levels of air pollution than non-movers. Predictors of moving differed between the adult and birth cohorts, highlighting the importance of life stages. In the adult cohorts, moving was associated with younger age, smoking, and lower education and was independent of cardio-respiratory health indicators (hypertension, BMI, asthma, COPD). Contrary to adult cohorts, higher parental education and household socioeconomic position were associated with a higher probability of relocation in birth cohorts, alongside being the first child and living in a multi-unit dwelling. Among movers in all cohorts, those with a higher socioeconomic position at baseline were more likely to move towards healthier levels of the urban exposome. We provide new insights into predictors of relocation and subsequent changes in multiple aspects of the urban exposome in four cohorts covering different life stages in Sweden and the Netherlands. These results inform strategies to limit bias due to residential self-selection in epidemiological studies using relocation as a natural experiment.",

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Saucy, A, Gehring, U, Olmos, S, Delpierre, C, de Bont, J, Gruzieva, O, de Hoogh, K, Huss, A, Ljungman, P, Melén, E, Persson, Å, Pieterson, I, Tewis, M, Yu, Z, Vermeulen, R , Vlaanderen, J & Tonne, C 2023, 'Effect of residential relocation on environmental exposures in European cohorts: An exposome-wide approach', Environment international, vol. 173, 107849, pp. 1-12. https://doi.org/10.1016/j.envint.2023.107849

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AU - Saucy, Apolline

AU - Gehring, Ulrike

AU - Olmos, Sergio

AU - Delpierre, Cyrille

AU - de Bont, Jeroen

AU - Gruzieva, Olena

AU - de Hoogh, Kees

AU - Huss, Anke

AU - Ljungman, Petter

AU - Melén, Erik

AU - Persson, Åsa

AU - Pieterson, Inka

AU - Tewis, Marjan

AU - Yu, Zhebin

AU - Vermeulen, Roel

AU - Vlaanderen, Jelle

AU - Tonne, Cathryn

PY - 2023/3/1

Y1 - 2023/3/1

N2 - Residential relocation is increasingly used as a natural experiment in epidemiological studies to assess the health impact of changes in environmental exposures. Since the likelihood of relocation can be influenced by individual characteristics that also influence health, studies may be biased if the predictors of relocation are not appropriately accounted for. Using data from Swedish and Dutch adults (SDPP, AMIGO), and birth cohorts (BAMSE, PIAMA), we investigated factors associated with relocation and changes in multiple environmental exposures across life stages. We used logistic regression to identify baseline predictors of moving, including sociodemographic and household characteristics, health behaviors and health. We identified exposure clusters reflecting three domains of the urban exposome (air pollution, grey surface, and socioeconomic deprivation) and conducted multinomial logistic regression to identify predictors of exposome trajectories among movers. On average, 7 % of the participants relocated each year. Before relocating, movers were consistently exposed to higher levels of air pollution than non-movers. Predictors of moving differed between the adult and birth cohorts, highlighting the importance of life stages. In the adult cohorts, moving was associated with younger age, smoking, and lower education and was independent of cardio-respiratory health indicators (hypertension, BMI, asthma, COPD). Contrary to adult cohorts, higher parental education and household socioeconomic position were associated with a higher probability of relocation in birth cohorts, alongside being the first child and living in a multi-unit dwelling. Among movers in all cohorts, those with a higher socioeconomic position at baseline were more likely to move towards healthier levels of the urban exposome. We provide new insights into predictors of relocation and subsequent changes in multiple aspects of the urban exposome in four cohorts covering different life stages in Sweden and the Netherlands. These results inform strategies to limit bias due to residential self-selection in epidemiological studies using relocation as a natural experiment.

AB - Residential relocation is increasingly used as a natural experiment in epidemiological studies to assess the health impact of changes in environmental exposures. Since the likelihood of relocation can be influenced by individual characteristics that also influence health, studies may be biased if the predictors of relocation are not appropriately accounted for. Using data from Swedish and Dutch adults (SDPP, AMIGO), and birth cohorts (BAMSE, PIAMA), we investigated factors associated with relocation and changes in multiple environmental exposures across life stages. We used logistic regression to identify baseline predictors of moving, including sociodemographic and household characteristics, health behaviors and health. We identified exposure clusters reflecting three domains of the urban exposome (air pollution, grey surface, and socioeconomic deprivation) and conducted multinomial logistic regression to identify predictors of exposome trajectories among movers. On average, 7 % of the participants relocated each year. Before relocating, movers were consistently exposed to higher levels of air pollution than non-movers. Predictors of moving differed between the adult and birth cohorts, highlighting the importance of life stages. In the adult cohorts, moving was associated with younger age, smoking, and lower education and was independent of cardio-respiratory health indicators (hypertension, BMI, asthma, COPD). Contrary to adult cohorts, higher parental education and household socioeconomic position were associated with a higher probability of relocation in birth cohorts, alongside being the first child and living in a multi-unit dwelling. Among movers in all cohorts, those with a higher socioeconomic position at baseline were more likely to move towards healthier levels of the urban exposome. We provide new insights into predictors of relocation and subsequent changes in multiple aspects of the urban exposome in four cohorts covering different life stages in Sweden and the Netherlands. These results inform strategies to limit bias due to residential self-selection in epidemiological studies using relocation as a natural experiment.

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Effect of residential relocation on environmental exposures in European cohorts: An exposome-wide approach

Abstract

Bibliographical note

Funding

Keywords

UN SDGs

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