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Air Quality Improvement Is Associated With Decreasing Depressive Symptoms in Older Women

Air pollution exposure is an environmental risk factor in brain aging and may also be associated with late-life depressive symptoms (DS). It is unknown if air quality (AQ) improvement is associated with reductions in DS in later life. Longitudinal data from 917 cognitively intact women with no prior...

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Autores principales: Petkus, Andrew, Wang, Xinhui, Younan, Diana, Beavers, Daniel, Espeland, Mark, Millstein, Joshua, Gatz, Margaret, Chen, Jiu-Chiuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8680143/
http://dx.doi.org/10.1093/geroni/igab046.1317
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author Petkus, Andrew
Wang, Xinhui
Younan, Diana
Beavers, Daniel
Espeland, Mark
Millstein, Joshua
Gatz, Margaret
Chen, Jiu-Chiuan
author_facet Petkus, Andrew
Wang, Xinhui
Younan, Diana
Beavers, Daniel
Espeland, Mark
Millstein, Joshua
Gatz, Margaret
Chen, Jiu-Chiuan
author_sort Petkus, Andrew
collection PubMed
description Air pollution exposure is an environmental risk factor in brain aging and may also be associated with late-life depressive symptoms (DS). It is unknown if air quality (AQ) improvement is associated with reductions in DS in later life. Longitudinal data from 917 cognitively intact women with no prior history of depression (baseline age 66.4 ± 1.6 years old) participating in the Women’s Health Initiative Memory Study of Younger Women (WHIMSY; 2008-2016) were analyzed to examine whether AQ improvement over the 5-years prior to WHIMSY baseline was associated with trajectories of DS (measured by 15-item Geriatric Depression Scale). Annual PM2.5 (fine particulate matter of aerodynamic diameter <2.5) and NO2 were estimated at the participants’ residence using regionalized universal kriging models. Estimates were aggregated to the 3-year average at 5 years (remote) and immediately (recent) before WHIMSY baseline. Associations between AQ improvement (difference between remote to recent exposure) and trajectories of DS were estimated using linear mixed effect models, adjusting for sociodemographic, lifestyle, and clinical covariates. AQ improved prior to baseline (PM2.5: 1.62 ± 1.45 μg/m3 and NO2: 3.70 ± 2.81 ppb). Women residing in locations with greater improvement in NO2 (per IQR = 4.34 ppb) or PM2.5 (per IQR = 2.30 μg/m3) reported significant annual reductions in DS (βNO2=3.1%, p=.046; βPM25=1.6%, p=.046), similar to the effect of engaging in moderate to vigorous physical activity four times or more a week. These findings suggest that improving air quality may reduce depressive symptoms in older women.
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spelling pubmed-86801432021-12-17 Air Quality Improvement Is Associated With Decreasing Depressive Symptoms in Older Women Petkus, Andrew Wang, Xinhui Younan, Diana Beavers, Daniel Espeland, Mark Millstein, Joshua Gatz, Margaret Chen, Jiu-Chiuan Innov Aging Abstracts Air pollution exposure is an environmental risk factor in brain aging and may also be associated with late-life depressive symptoms (DS). It is unknown if air quality (AQ) improvement is associated with reductions in DS in later life. Longitudinal data from 917 cognitively intact women with no prior history of depression (baseline age 66.4 ± 1.6 years old) participating in the Women’s Health Initiative Memory Study of Younger Women (WHIMSY; 2008-2016) were analyzed to examine whether AQ improvement over the 5-years prior to WHIMSY baseline was associated with trajectories of DS (measured by 15-item Geriatric Depression Scale). Annual PM2.5 (fine particulate matter of aerodynamic diameter <2.5) and NO2 were estimated at the participants’ residence using regionalized universal kriging models. Estimates were aggregated to the 3-year average at 5 years (remote) and immediately (recent) before WHIMSY baseline. Associations between AQ improvement (difference between remote to recent exposure) and trajectories of DS were estimated using linear mixed effect models, adjusting for sociodemographic, lifestyle, and clinical covariates. AQ improved prior to baseline (PM2.5: 1.62 ± 1.45 μg/m3 and NO2: 3.70 ± 2.81 ppb). Women residing in locations with greater improvement in NO2 (per IQR = 4.34 ppb) or PM2.5 (per IQR = 2.30 μg/m3) reported significant annual reductions in DS (βNO2=3.1%, p=.046; βPM25=1.6%, p=.046), similar to the effect of engaging in moderate to vigorous physical activity four times or more a week. These findings suggest that improving air quality may reduce depressive symptoms in older women. Oxford University Press 2021-12-17 /pmc/articles/PMC8680143/ http://dx.doi.org/10.1093/geroni/igab046.1317 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Petkus, Andrew
Wang, Xinhui
Younan, Diana
Beavers, Daniel
Espeland, Mark
Millstein, Joshua
Gatz, Margaret
Chen, Jiu-Chiuan
Air Quality Improvement Is Associated With Decreasing Depressive Symptoms in Older Women
title Air Quality Improvement Is Associated With Decreasing Depressive Symptoms in Older Women
title_full Air Quality Improvement Is Associated With Decreasing Depressive Symptoms in Older Women
title_fullStr Air Quality Improvement Is Associated With Decreasing Depressive Symptoms in Older Women
title_full_unstemmed Air Quality Improvement Is Associated With Decreasing Depressive Symptoms in Older Women
title_short Air Quality Improvement Is Associated With Decreasing Depressive Symptoms in Older Women
title_sort air quality improvement is associated with decreasing depressive symptoms in older women
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8680143/
http://dx.doi.org/10.1093/geroni/igab046.1317
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