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Particulate matter and risk of parkinson disease in a large prospective study of women

BACKGROUND: Exposure to air pollution has been implicated in a number of adverse health outcomes and the effect of particulate matter (PM) on the brain is beginning to be recognized. Yet, no prospective study has examined the association between PM and risk of Parkinson Disease. Thus, our goal was a...

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Autores principales: Palacios, Natalia, Fitzgerald, Kathryn C, Hart, Jaime E, Weisskopf, Marc G, Schwarzschild, Michael A, Ascherio, Alberto, Laden, Francine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4201741/
https://www.ncbi.nlm.nih.gov/pubmed/25294559
http://dx.doi.org/10.1186/1476-069X-13-80
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author Palacios, Natalia
Fitzgerald, Kathryn C
Hart, Jaime E
Weisskopf, Marc G
Schwarzschild, Michael A
Ascherio, Alberto
Laden, Francine
author_facet Palacios, Natalia
Fitzgerald, Kathryn C
Hart, Jaime E
Weisskopf, Marc G
Schwarzschild, Michael A
Ascherio, Alberto
Laden, Francine
author_sort Palacios, Natalia
collection PubMed
description BACKGROUND: Exposure to air pollution has been implicated in a number of adverse health outcomes and the effect of particulate matter (PM) on the brain is beginning to be recognized. Yet, no prospective study has examined the association between PM and risk of Parkinson Disease. Thus, our goal was assess if exposure to particulate matter air pollution is related to risk of Parkinson’s disease (PD) in the Nurses’ Health Study (NHS), a large prospective cohort of women. METHODS: Cumulative average exposure to different size fractions of PM up to 2 years before the onset of PD, was estimated using a spatio-temporal model by linking each individual’s places of residence throughout the study with location-specific air pollution levels. We prospectively followed 115,767 women in the NHS, identified 508 incident PD cases and used multivariable Cox proportional hazards models to estimate the risk of PD associated with each size fraction of PM independently. RESULTS: In models adjusted for age in months, smoking, region, population density, caffeine and ibuprofen intake, we observed no statistically significant associations between exposure to air pollution and PD risk. The relative risk (RR) comparing the top quartile to the bottom quartile of PM exposure was 0.99 (95% Confidence Intervals (CI): 0.84,1.16) for PM(10) (≤10 microns in diameter), 1.08 (95% CI: 0.81, 1.45) for PM(2.5) (≤2.5 microns in diameter), and 0.92 (95% CI: 0.71, 1.19) for PM(10–2.5) (2.5 to 10 microns in diameter). CONCLUSIONS: In this study, we found no evidence that exposure to air pollution is a risk factor for PD.
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spelling pubmed-42017412014-10-19 Particulate matter and risk of parkinson disease in a large prospective study of women Palacios, Natalia Fitzgerald, Kathryn C Hart, Jaime E Weisskopf, Marc G Schwarzschild, Michael A Ascherio, Alberto Laden, Francine Environ Health Research BACKGROUND: Exposure to air pollution has been implicated in a number of adverse health outcomes and the effect of particulate matter (PM) on the brain is beginning to be recognized. Yet, no prospective study has examined the association between PM and risk of Parkinson Disease. Thus, our goal was assess if exposure to particulate matter air pollution is related to risk of Parkinson’s disease (PD) in the Nurses’ Health Study (NHS), a large prospective cohort of women. METHODS: Cumulative average exposure to different size fractions of PM up to 2 years before the onset of PD, was estimated using a spatio-temporal model by linking each individual’s places of residence throughout the study with location-specific air pollution levels. We prospectively followed 115,767 women in the NHS, identified 508 incident PD cases and used multivariable Cox proportional hazards models to estimate the risk of PD associated with each size fraction of PM independently. RESULTS: In models adjusted for age in months, smoking, region, population density, caffeine and ibuprofen intake, we observed no statistically significant associations between exposure to air pollution and PD risk. The relative risk (RR) comparing the top quartile to the bottom quartile of PM exposure was 0.99 (95% Confidence Intervals (CI): 0.84,1.16) for PM(10) (≤10 microns in diameter), 1.08 (95% CI: 0.81, 1.45) for PM(2.5) (≤2.5 microns in diameter), and 0.92 (95% CI: 0.71, 1.19) for PM(10–2.5) (2.5 to 10 microns in diameter). CONCLUSIONS: In this study, we found no evidence that exposure to air pollution is a risk factor for PD. BioMed Central 2014-10-07 /pmc/articles/PMC4201741/ /pubmed/25294559 http://dx.doi.org/10.1186/1476-069X-13-80 Text en © Palacios et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Palacios, Natalia
Fitzgerald, Kathryn C
Hart, Jaime E
Weisskopf, Marc G
Schwarzschild, Michael A
Ascherio, Alberto
Laden, Francine
Particulate matter and risk of parkinson disease in a large prospective study of women
title Particulate matter and risk of parkinson disease in a large prospective study of women
title_full Particulate matter and risk of parkinson disease in a large prospective study of women
title_fullStr Particulate matter and risk of parkinson disease in a large prospective study of women
title_full_unstemmed Particulate matter and risk of parkinson disease in a large prospective study of women
title_short Particulate matter and risk of parkinson disease in a large prospective study of women
title_sort particulate matter and risk of parkinson disease in a large prospective study of women
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4201741/
https://www.ncbi.nlm.nih.gov/pubmed/25294559
http://dx.doi.org/10.1186/1476-069X-13-80
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