TY - JOUR
T1 - Associations between long-term exposure to ambient air pollution and Parkinson's disease prevalence
T2 - A cross-sectional study
AU - Salimi, Farhad
AU - Hanigan, Ivan
AU - Jalaludin, Bin
AU - Guo, Yuming
AU - Rolfe, Margaret
AU - Heyworth, Jane S.
AU - Cowie, Christine T.
AU - Knibbs, Luke D.
AU - Cope, Martin
AU - Marks, Guy B.
AU - Morgan, Geoffrey G.
N1 - Funding Information:
This research was completed using data collected for the 45 and Up Study ( www.saxinstitute.org.au ). The 45 and Up Study is managed by the Sax Institute in collaboration with major partner Cancer Council NSW; and partners: The National Heart Foundation of Australia (NSW Division); NSW Ministry of Health; NSW Government Family & Community Services – Ageing, Carers and the Disability Council NSW; and the Australian Red Cross Blood Service. We thank the many thousands of people participating in the 45 and Up Study. This project was funded by Centre for Air Pollution, Energy and Health (CAR) and the Clean Air and Urban Landscapes (CAUL) hub of the Australian Government's National and Environmental Science Programme (NESP) . This study is part of the “Understanding the impact of the social, economic and environmental factors on the health of Australians in mid-later life; where are the opportunities for prevention?” study ( National Health & Medical Research Council (NHMRC ) Grant 402810 ) and we wish to acknowledge Philayrath Phongsavan for her tireless and effective coordination of the project. Yuming Guo was supported by a Career Development Fellowship of the Australian National Health and Medical Research Council (# APP1107107 & # APP1163693 ).
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2020/2
Y1 - 2020/2
N2 - Background: Epidemiological studies have reported contradictory results regarding the effects of ambient air pollution on Parkinson's disease (PD). This study investigated the associations between long-term exposure to particulate matter < 2.5 mu m in diameter (PM2.5) and nitrogen dioxide (NO2) and PD among participants in the 45 and Up Study, which comprised adults older than 45 years living in New South Wales, Australia. Methods: We conducted a cross-sectional analysis of long-term exposure to PM2.5 and NO2 concentrations and prevalence of PD using data from around 240,000 cohort members from the 45 and Up Study, NSW. Annual average concentrations of NO2 and PM2.5 were estimated at the participants' residential address using satellite based land use regression models. Logistic regression was used to quantify the associations between these pollutants and ever physician-diagnosed PD, after adjusting for a range of individual- and area-level covariates. Results: Among the 236,390 participants with complete data, 1,428 (0.6%) reported physician-diagnosed PD. Annual mean PM2.5 and NO2 concentrations for the cohort were 5.8 and 11.9 mu g m(-3) , respectively, and were positively, but not statistically significantly associated with PD. The odds ratio for a 1 mu g m(-3) increase in PM2.5 was 1.01 (95% confidence interval (CI): 0.98-1.04). The adjusted odds ratio for a 5 mu g(-3) increase in NO2 was 1.03 (95% CI: 0.98-1.08). In subgroup analyses, larger associations for NO2 were observed among past smokers (OR 1.11 (95% CI: 1.02-1.20) per 5 mu g m(-3) increase). Conclusions: Overall, we found limited evidence of associations between long-term exposure to NO2 or PM2.5 and PD. The associations observed among past smokers require further corroboration.
AB - Background: Epidemiological studies have reported contradictory results regarding the effects of ambient air pollution on Parkinson's disease (PD). This study investigated the associations between long-term exposure to particulate matter < 2.5 mu m in diameter (PM2.5) and nitrogen dioxide (NO2) and PD among participants in the 45 and Up Study, which comprised adults older than 45 years living in New South Wales, Australia. Methods: We conducted a cross-sectional analysis of long-term exposure to PM2.5 and NO2 concentrations and prevalence of PD using data from around 240,000 cohort members from the 45 and Up Study, NSW. Annual average concentrations of NO2 and PM2.5 were estimated at the participants' residential address using satellite based land use regression models. Logistic regression was used to quantify the associations between these pollutants and ever physician-diagnosed PD, after adjusting for a range of individual- and area-level covariates. Results: Among the 236,390 participants with complete data, 1,428 (0.6%) reported physician-diagnosed PD. Annual mean PM2.5 and NO2 concentrations for the cohort were 5.8 and 11.9 mu g m(-3) , respectively, and were positively, but not statistically significantly associated with PD. The odds ratio for a 1 mu g m(-3) increase in PM2.5 was 1.01 (95% confidence interval (CI): 0.98-1.04). The adjusted odds ratio for a 5 mu g(-3) increase in NO2 was 1.03 (95% CI: 0.98-1.08). In subgroup analyses, larger associations for NO2 were observed among past smokers (OR 1.11 (95% CI: 1.02-1.20) per 5 mu g m(-3) increase). Conclusions: Overall, we found limited evidence of associations between long-term exposure to NO2 or PM2.5 and PD. The associations observed among past smokers require further corroboration.
KW - Parkinson's disease
KW - Air pollution
KW - Particulate matter
KW - 45 and up study
UR - http://www.scopus.com/inward/record.url?scp=85076237828&partnerID=8YFLogxK
U2 - 10.1016/j.neuint.2019.104615
DO - 10.1016/j.neuint.2019.104615
M3 - Other Journal Article
SN - 0197-0186
VL - 133
SP - 1
EP - 6
JO - Neurochemistry International
JF - Neurochemistry International
M1 - 104615
ER -