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

Author

Listed:
  • 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
    Meinian Institute of Health, 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
    Meinian Institute of Health, Beijing 100191, China)

  • Jun Lv

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
    Meinian Public Health Institute, 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
    Meinian Public Health Institute, Peking University Health Science Center, Beijing 100191, China)

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.

Suggested Citation

  • Jing Wu & Yi Ning & Yongxiang Gao & Ruiqi Shan & Bo Wang & Jun Lv & Liming Li, 2021. "Association between Ambient Air Pollution and MRI-Defined Brain Infarcts in Health Examinations in China," IJERPH, MDPI, vol. 18(8), pages 1-11, April.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:8:p:4325-:d:539039
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