Association between Ambient Air Pollution and MRI-Defined Brain Infarcts in Health Examinations in China

Jing Wu, Yi Ning, Yongxiang Gao, Ruiqi Shan, Bo Wang, Jun Lv and Liming Li
Additional contact information
Jing Wu: Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
Yi Ning: Meinian Public Health Institute, Peking University Health Science Center, Beijing 100191, China
Yongxiang Gao: Meinian Institute of Health, Beijing 100191, China
Ruiqi Shan: Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
Bo Wang: Meinian Public Health Institute, Peking University Health Science Center, Beijing 100191, China
Jun Lv: Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
Liming Li: Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China

IJERPH, 2021, vol. 18, issue 8, 1-11

Abstract: The study aimed to evaluate the relationships between air pollutants and risk of magnetic resonance imaging (MRI)-defined brain infarcts (BI). We used data from routine health examinations of 1,400,503 participants aged ?18 years who underwent brain MRI scans in 174 cities in 30 provinces in China in 2018. We assessed exposures to particulate matter (PM) 2.5 , PM 10 , nitrogen dioxide (NO 2 ), and carbon monoxide (CO) from 2015 to 2017. MRI-defined BI was defined as lesions ?3 mm in diameter. Air pollutants were associated with a higher risk of MRI-defined BI. The odds ratio (OR) (95% CI) for MRI-defined BI comparing the highest with the lowest tertiles of air pollutant concentrations was 2.00 (1.96–2.03) for PM 2.5 , 1.68 (1.65–1.71) for PM 10 , 1.58 (1.55–1.61) for NO 2 , and 1.57 (1.54–1.60) for CO. Each SD increase in air pollutants was associated with 16–42% increases in the risk of MRI-defined BI. The associations were stronger in the elderly subgroup. This is the largest survey to evaluate the association between air pollution and MRI-defined BI. Our findings indicate that ambient air pollution was significantly associated with a higher risk of MRI-defined BI.

Keywords: air pollution; brain infarcts; China (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/18/8/4325/pdf (application/pdf)
https://www.mdpi.com/1660-4601/18/8/4325/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:18:y:2021:i:8:p:4325-:d:539039

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().