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
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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
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