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Associations between air pollution and multimorbidity in the UK Biobank: A cross-sectional study

BACKGROUND: Long-term exposure to air pollution concentrations is known to be adversely associated with a broad range of single non-communicable diseases, but its role in multimorbidity has not been investigated in the UK. We aimed to assess associations between long-term air pollution exposure and...

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Autores principales: Ronaldson, Amy, Arias de la Torre, Jorge, Ashworth, Mark, Hansell, Anna L., Hotopf, Matthew, Mudway, Ian, Stewart, Rob, Dregan, Alex, Bakolis, Ioannis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755180/
https://www.ncbi.nlm.nih.gov/pubmed/36530697
http://dx.doi.org/10.3389/fpubh.2022.1035415
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author Ronaldson, Amy
Arias de la Torre, Jorge
Ashworth, Mark
Hansell, Anna L.
Hotopf, Matthew
Mudway, Ian
Stewart, Rob
Dregan, Alex
Bakolis, Ioannis
author_facet Ronaldson, Amy
Arias de la Torre, Jorge
Ashworth, Mark
Hansell, Anna L.
Hotopf, Matthew
Mudway, Ian
Stewart, Rob
Dregan, Alex
Bakolis, Ioannis
author_sort Ronaldson, Amy
collection PubMed
description BACKGROUND: Long-term exposure to air pollution concentrations is known to be adversely associated with a broad range of single non-communicable diseases, but its role in multimorbidity has not been investigated in the UK. We aimed to assess associations between long-term air pollution exposure and multimorbidity status, severity, and patterns using the UK Biobank cohort. METHODS: Multimorbidity status was calculated based on 41 physical and mental conditions. We assessed cross-sectional associations between annual modeled particulate matter (PM)(2.5), PM(coarse), PM(10), and nitrogen dioxide (NO(2)) concentrations (μg/m(3)–modeled to residential address) and multimorbidity status at the baseline assessment (2006–2010) in 364,144 people (mean age: 52.2 ± 8.1 years, 52.6% female). Air pollutants were categorized into quartiles to assess dose-response associations. Among those with multimorbidity (≥2 conditions; n = 156,395) we assessed associations between air pollutant exposure levels and multimorbidity severity and multimorbidity patterns, which were identified using exploratory factor analysis. Associations were explored using generalized linear models adjusted for sociodemographic, behavioral, and environmental indicators. RESULTS: Higher exposures to PM(2.5), and NO(2) were associated with multimorbidity status in a dose-dependent manner. These associations were strongest when we compared the highest air pollution quartile (quartile 4: Q4) with the lowest quartile (Q1) [PM(2.5): adjusted odds ratio (adjOR) = 1.21 (95% CI = 1.18, 1.24); NO(2): adjOR = 1.19 (95 % CI = 1.16, 1.23)]. We also observed dose-response associations between air pollutant exposures and multimorbidity severity scores. We identified 11 multimorbidity patterns. Air pollution was associated with several multimorbidity patterns with strongest associations (Q4 vs. Q1) observed for neurological (stroke, epilepsy, alcohol/substance dependency) [PM(2.5): adjOR = 1.31 (95% CI = 1.14, 1.51); NO(2): adjOR = 1.33 (95% CI = 1.11, 1.60)] and respiratory patterns (COPD, asthma) [PM(2.5): adjOR = 1.24 (95% CI = 1.16, 1.33); NO(2): adjOR = 1.26 (95% CI = 1.15, 1.38)]. CONCLUSIONS: This cross-sectional study provides evidence that exposure to air pollution might be associated with having multimorbid, multi-organ conditions. Longitudinal studies are needed to further explore these associations.
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spelling pubmed-97551802022-12-17 Associations between air pollution and multimorbidity in the UK Biobank: A cross-sectional study Ronaldson, Amy Arias de la Torre, Jorge Ashworth, Mark Hansell, Anna L. Hotopf, Matthew Mudway, Ian Stewart, Rob Dregan, Alex Bakolis, Ioannis Front Public Health Public Health BACKGROUND: Long-term exposure to air pollution concentrations is known to be adversely associated with a broad range of single non-communicable diseases, but its role in multimorbidity has not been investigated in the UK. We aimed to assess associations between long-term air pollution exposure and multimorbidity status, severity, and patterns using the UK Biobank cohort. METHODS: Multimorbidity status was calculated based on 41 physical and mental conditions. We assessed cross-sectional associations between annual modeled particulate matter (PM)(2.5), PM(coarse), PM(10), and nitrogen dioxide (NO(2)) concentrations (μg/m(3)–modeled to residential address) and multimorbidity status at the baseline assessment (2006–2010) in 364,144 people (mean age: 52.2 ± 8.1 years, 52.6% female). Air pollutants were categorized into quartiles to assess dose-response associations. Among those with multimorbidity (≥2 conditions; n = 156,395) we assessed associations between air pollutant exposure levels and multimorbidity severity and multimorbidity patterns, which were identified using exploratory factor analysis. Associations were explored using generalized linear models adjusted for sociodemographic, behavioral, and environmental indicators. RESULTS: Higher exposures to PM(2.5), and NO(2) were associated with multimorbidity status in a dose-dependent manner. These associations were strongest when we compared the highest air pollution quartile (quartile 4: Q4) with the lowest quartile (Q1) [PM(2.5): adjusted odds ratio (adjOR) = 1.21 (95% CI = 1.18, 1.24); NO(2): adjOR = 1.19 (95 % CI = 1.16, 1.23)]. We also observed dose-response associations between air pollutant exposures and multimorbidity severity scores. We identified 11 multimorbidity patterns. Air pollution was associated with several multimorbidity patterns with strongest associations (Q4 vs. Q1) observed for neurological (stroke, epilepsy, alcohol/substance dependency) [PM(2.5): adjOR = 1.31 (95% CI = 1.14, 1.51); NO(2): adjOR = 1.33 (95% CI = 1.11, 1.60)] and respiratory patterns (COPD, asthma) [PM(2.5): adjOR = 1.24 (95% CI = 1.16, 1.33); NO(2): adjOR = 1.26 (95% CI = 1.15, 1.38)]. CONCLUSIONS: This cross-sectional study provides evidence that exposure to air pollution might be associated with having multimorbid, multi-organ conditions. Longitudinal studies are needed to further explore these associations. Frontiers Media S.A. 2022-12-02 /pmc/articles/PMC9755180/ /pubmed/36530697 http://dx.doi.org/10.3389/fpubh.2022.1035415 Text en Copyright © 2022 Ronaldson, Arias de la Torre, Ashworth, Hansell, Hotopf, Mudway, Stewart, Dregan and Bakolis. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Ronaldson, Amy
Arias de la Torre, Jorge
Ashworth, Mark
Hansell, Anna L.
Hotopf, Matthew
Mudway, Ian
Stewart, Rob
Dregan, Alex
Bakolis, Ioannis
Associations between air pollution and multimorbidity in the UK Biobank: A cross-sectional study
title Associations between air pollution and multimorbidity in the UK Biobank: A cross-sectional study
title_full Associations between air pollution and multimorbidity in the UK Biobank: A cross-sectional study
title_fullStr Associations between air pollution and multimorbidity in the UK Biobank: A cross-sectional study
title_full_unstemmed Associations between air pollution and multimorbidity in the UK Biobank: A cross-sectional study
title_short Associations between air pollution and multimorbidity in the UK Biobank: A cross-sectional study
title_sort associations between air pollution and multimorbidity in the uk biobank: a cross-sectional study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755180/
https://www.ncbi.nlm.nih.gov/pubmed/36530697
http://dx.doi.org/10.3389/fpubh.2022.1035415
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