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The complex relationship of air pollution and neighborhood socioeconomic status and their association with cognitive decline
BACKGROUND: Air pollution and neighborhood socioeconomic status (nSES) have been shown to affect cognitive decline in older adults. In previous studies, nSES acts as both a confounder and an effect modifier between air pollution and cognitive decline. OBJECTIVES: This study aims to examine the indiv...
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/PMC9382679/ https://www.ncbi.nlm.nih.gov/pubmed/35868076 http://dx.doi.org/10.1016/j.envint.2022.107416 |
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author | Christensen, Grace M. Li, Zhenjiang Pearce, John Marcus, Michele Lah, James J. Waller, Lance A. Ebelt, Stefanie Hüls, Anke |
author_facet | Christensen, Grace M. Li, Zhenjiang Pearce, John Marcus, Michele Lah, James J. Waller, Lance A. Ebelt, Stefanie Hüls, Anke |
author_sort | Christensen, Grace M. |
collection | PubMed |
description | BACKGROUND: Air pollution and neighborhood socioeconomic status (nSES) have been shown to affect cognitive decline in older adults. In previous studies, nSES acts as both a confounder and an effect modifier between air pollution and cognitive decline. OBJECTIVES: This study aims to examine the individual and joint effects of air pollution and nSES on cognitive decline on adults 50 years and older in Metro Atlanta, USA. METHODS: Perceived memory and cognitive decline was assessed in 11,897 participants aged 50+ years from the Emory Healthy Aging Study (EHAS) using the cognitive function instrument (CFI). Three-year average air pollution concentrations for 12 pollutants and 16 nSES characteristics were matched to participants using census tracts. Individual exposure linear regression and LASSO models explore individual exposure effects. Environmental mixture modeling methods including, self-organizing maps (SOM), Bayesian kernel machine regression (BKMR), and quantile-based G-computation explore joint effects, and effect modification between air pollutants and nSES characteristics on cognitive decline. RESULTS: Participants living in areas with higher air pollution concentrations and lower nSES experienced higher CFI scores (beta: 0.121; 95 % CI: 0.076, 0.167) compared to participants living in areas with low air pollution and high nSES. Additionally, the BKMR model showed a significant overall mixture effect on cognitive decline, suggesting synergy between air pollution and nSES. These joint effects explain protective effects observed in single-pollutant linear regression models, even after adjustment for confounding by nSES (e.g., an IQR increase in CO was associated with a 0.038-point lower (95 % CI: −0.06, −0.01) CFI score). DISCUSSION: Observed protective effects of single air pollutants on cognitive decline can be explained by joint effects and effect modification of air pollutants and nSES. Researchers must consider nSES as an effect modifier if not a co-exposure to better understand the complex relationships between air pollution and nSES in urban settings. |
format | Online Article Text |
id | pubmed-9382679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-93826792022-09-01 The complex relationship of air pollution and neighborhood socioeconomic status and their association with cognitive decline Christensen, Grace M. Li, Zhenjiang Pearce, John Marcus, Michele Lah, James J. Waller, Lance A. Ebelt, Stefanie Hüls, Anke Environ Int Article BACKGROUND: Air pollution and neighborhood socioeconomic status (nSES) have been shown to affect cognitive decline in older adults. In previous studies, nSES acts as both a confounder and an effect modifier between air pollution and cognitive decline. OBJECTIVES: This study aims to examine the individual and joint effects of air pollution and nSES on cognitive decline on adults 50 years and older in Metro Atlanta, USA. METHODS: Perceived memory and cognitive decline was assessed in 11,897 participants aged 50+ years from the Emory Healthy Aging Study (EHAS) using the cognitive function instrument (CFI). Three-year average air pollution concentrations for 12 pollutants and 16 nSES characteristics were matched to participants using census tracts. Individual exposure linear regression and LASSO models explore individual exposure effects. Environmental mixture modeling methods including, self-organizing maps (SOM), Bayesian kernel machine regression (BKMR), and quantile-based G-computation explore joint effects, and effect modification between air pollutants and nSES characteristics on cognitive decline. RESULTS: Participants living in areas with higher air pollution concentrations and lower nSES experienced higher CFI scores (beta: 0.121; 95 % CI: 0.076, 0.167) compared to participants living in areas with low air pollution and high nSES. Additionally, the BKMR model showed a significant overall mixture effect on cognitive decline, suggesting synergy between air pollution and nSES. These joint effects explain protective effects observed in single-pollutant linear regression models, even after adjustment for confounding by nSES (e.g., an IQR increase in CO was associated with a 0.038-point lower (95 % CI: −0.06, −0.01) CFI score). DISCUSSION: Observed protective effects of single air pollutants on cognitive decline can be explained by joint effects and effect modification of air pollutants and nSES. Researchers must consider nSES as an effect modifier if not a co-exposure to better understand the complex relationships between air pollution and nSES in urban settings. 2022-09 2022-07-16 /pmc/articles/PMC9382679/ /pubmed/35868076 http://dx.doi.org/10.1016/j.envint.2022.107416 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 Christensen, Grace M. Li, Zhenjiang Pearce, John Marcus, Michele Lah, James J. Waller, Lance A. Ebelt, Stefanie Hüls, Anke The complex relationship of air pollution and neighborhood socioeconomic status and their association with cognitive decline |
title | The complex relationship of air pollution and neighborhood socioeconomic status and their association with cognitive decline |
title_full | The complex relationship of air pollution and neighborhood socioeconomic status and their association with cognitive decline |
title_fullStr | The complex relationship of air pollution and neighborhood socioeconomic status and their association with cognitive decline |
title_full_unstemmed | The complex relationship of air pollution and neighborhood socioeconomic status and their association with cognitive decline |
title_short | The complex relationship of air pollution and neighborhood socioeconomic status and their association with cognitive decline |
title_sort | complex relationship of air pollution and neighborhood socioeconomic status and their association with cognitive decline |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382679/ https://www.ncbi.nlm.nih.gov/pubmed/35868076 http://dx.doi.org/10.1016/j.envint.2022.107416 |
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