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Air pollution and metabolic disorders: Dynamic versus static measures of exposure among Hispanics/Latinos and non-Hispanics
INTRODUCTION: Exposure to air pollution disproportionately affects racial/ethnic minorities that could contribute to health inequalities including metabolic disorders. However, most existing studies used a static assessment of air pollution exposure (mostly using the residential address) and do not...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976727/ https://www.ncbi.nlm.nih.gov/pubmed/35120894 http://dx.doi.org/10.1016/j.envres.2022.112846 |
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author | Letellier, Noémie Zamora, Steven Spoon, Chad Yang, Jiue-An Mortamais, Marion Carrasco Escobar, Gabriel Sears, Dorothy D. Jankowska, Marta M. Benmarhnia, Tarik |
author_facet | Letellier, Noémie Zamora, Steven Spoon, Chad Yang, Jiue-An Mortamais, Marion Carrasco Escobar, Gabriel Sears, Dorothy D. Jankowska, Marta M. Benmarhnia, Tarik |
author_sort | Letellier, Noémie |
collection | PubMed |
description | INTRODUCTION: Exposure to air pollution disproportionately affects racial/ethnic minorities that could contribute to health inequalities including metabolic disorders. However, most existing studies used a static assessment of air pollution exposure (mostly using the residential address) and do not account for activity space when modelling exposure to air pollution. The aim of this study is to understand how exposure to air pollution impacts metabolic disorders biomarkers, how this effect differs according to ethnicity, and for the first time compare these findings with two methods of exposure assessment: dynamic and static measures. METHODS: Among the Community of Mine study, a cross-sectional study conducted in San Diego County, insulin resistance, diabetes, hypertension, obesity, dyslipidemia, and metabolic syndrome (MetS) were assessed. Exposure to air pollution (PM(2.5), NO(2), traffic) was calculated using static measures around the home, and dynamic measures of mobility derived from Global Positioning Systems (GPS) traces using kernel density estimators to account for exposure variability across space and time. Associations of air pollution with metabolic disorders were quantified using generalized estimating equation models to account for the clustered nature of the data. RESULTS: Among 552 participants (mean age 58.7 years, 42% Hispanic/Latino), Hispanics/Latinos had a higher exposure to PM(2.5) compared to non-Hispanics using static measures. In contrast, Hispanics/Latinos had less exposure to PM(2.5) using dynamic measures. For all participants, higher dynamic exposure to PM(2.5) and NO(2) was associated with increased insulin resistance and cholesterol levels, and increased risk of obesity, dyslipidemia and MetS (RR 1.17, 95% CI: 1.07–1.28; RR 1.21, 95% CI: 1.12–1.30, respectively). The association between dynamic PM(2.5) exposure and MetS differed by Hispanic/Latino ethnicity. CONCLUSION: These results highlight the importance of considering people’s daily mobility in assessing the impact of air pollution on health. |
format | Online Article Text |
id | pubmed-8976727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-89767272022-06-01 Air pollution and metabolic disorders: Dynamic versus static measures of exposure among Hispanics/Latinos and non-Hispanics Letellier, Noémie Zamora, Steven Spoon, Chad Yang, Jiue-An Mortamais, Marion Carrasco Escobar, Gabriel Sears, Dorothy D. Jankowska, Marta M. Benmarhnia, Tarik Environ Res Article INTRODUCTION: Exposure to air pollution disproportionately affects racial/ethnic minorities that could contribute to health inequalities including metabolic disorders. However, most existing studies used a static assessment of air pollution exposure (mostly using the residential address) and do not account for activity space when modelling exposure to air pollution. The aim of this study is to understand how exposure to air pollution impacts metabolic disorders biomarkers, how this effect differs according to ethnicity, and for the first time compare these findings with two methods of exposure assessment: dynamic and static measures. METHODS: Among the Community of Mine study, a cross-sectional study conducted in San Diego County, insulin resistance, diabetes, hypertension, obesity, dyslipidemia, and metabolic syndrome (MetS) were assessed. Exposure to air pollution (PM(2.5), NO(2), traffic) was calculated using static measures around the home, and dynamic measures of mobility derived from Global Positioning Systems (GPS) traces using kernel density estimators to account for exposure variability across space and time. Associations of air pollution with metabolic disorders were quantified using generalized estimating equation models to account for the clustered nature of the data. RESULTS: Among 552 participants (mean age 58.7 years, 42% Hispanic/Latino), Hispanics/Latinos had a higher exposure to PM(2.5) compared to non-Hispanics using static measures. In contrast, Hispanics/Latinos had less exposure to PM(2.5) using dynamic measures. For all participants, higher dynamic exposure to PM(2.5) and NO(2) was associated with increased insulin resistance and cholesterol levels, and increased risk of obesity, dyslipidemia and MetS (RR 1.17, 95% CI: 1.07–1.28; RR 1.21, 95% CI: 1.12–1.30, respectively). The association between dynamic PM(2.5) exposure and MetS differed by Hispanic/Latino ethnicity. CONCLUSION: These results highlight the importance of considering people’s daily mobility in assessing the impact of air pollution on health. 2022-06 2022-02-01 /pmc/articles/PMC8976727/ /pubmed/35120894 http://dx.doi.org/10.1016/j.envres.2022.112846 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ). |
spellingShingle | Article Letellier, Noémie Zamora, Steven Spoon, Chad Yang, Jiue-An Mortamais, Marion Carrasco Escobar, Gabriel Sears, Dorothy D. Jankowska, Marta M. Benmarhnia, Tarik Air pollution and metabolic disorders: Dynamic versus static measures of exposure among Hispanics/Latinos and non-Hispanics |
title | Air pollution and metabolic disorders: Dynamic versus static measures of exposure among Hispanics/Latinos and non-Hispanics |
title_full | Air pollution and metabolic disorders: Dynamic versus static measures of exposure among Hispanics/Latinos and non-Hispanics |
title_fullStr | Air pollution and metabolic disorders: Dynamic versus static measures of exposure among Hispanics/Latinos and non-Hispanics |
title_full_unstemmed | Air pollution and metabolic disorders: Dynamic versus static measures of exposure among Hispanics/Latinos and non-Hispanics |
title_short | Air pollution and metabolic disorders: Dynamic versus static measures of exposure among Hispanics/Latinos and non-Hispanics |
title_sort | air pollution and metabolic disorders: dynamic versus static measures of exposure among hispanics/latinos and non-hispanics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976727/ https://www.ncbi.nlm.nih.gov/pubmed/35120894 http://dx.doi.org/10.1016/j.envres.2022.112846 |
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