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Lagged Effects of Exposure to Air Pollutants on the Risk of Pulmonary Tuberculosis in a Highly Polluted Region

Author

Listed:
  • Yuqing Feng

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jing Wei

    (Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA)

  • Maogui Hu

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

  • Chengdong Xu

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Tao Li

    (Chinese Center for Disease Control and Prevention, Beijing 102206, China)

  • Jinfeng Wang

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Wei Chen

    (Chinese Center for Disease Control and Prevention, Beijing 102206, China)

Abstract

Background: Although significant correlations have been observed between air pollutants and the development of pulmonary tuberculosis (PTB) in many developed countries, data are scarce for developing and highly polluted regions. Method: A combined Poisson generalized linear regression–distributed lag nonlinear model was used to determine the associations between long-term exposure (2005–2017) to air pollutants and the risk of PTB in the Beijing–Tianjin–Hebei region. Results: The monthly PTB cases exhibited a fluctuating downward trend. For each 10 μg/m 3 increase in concentration, the maximum lag-specific risk and cumulative relative risk (RR) were 1.011 (95% confidence interval (CI): 1.0091.012, lag: 3 months) and 1.042 (1.036–1.048, 5 months) for PM 2.5 , and 1.023 (1.015–1.031, 0 months) and 1.041 (1.026–1.055, 2 months) for NO 2 . The risk of PTB was negatively correlated with O 3 exposure, and the minimum lag-specific risk and cumulative RR were 0.991 (95% CI: 0.987–0.994, lag: 0 months) and 0.974 (0.968–0.981, 4 months), respectively. No age-dependent effects were observed. Conclusions: Our results revealed potential associations between outdoor exposure to PM 2.5 , NO 2 , and O 3 and the risk of PTB. Further research should explore the corresponding interactions and potential mechanisms.

Suggested Citation

  • Yuqing Feng & Jing Wei & Maogui Hu & Chengdong Xu & Tao Li & Jinfeng Wang & Wei Chen, 2022. "Lagged Effects of Exposure to Air Pollutants on the Risk of Pulmonary Tuberculosis in a Highly Polluted Region," IJERPH, MDPI, vol. 19(9), pages 1-13, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5752-:d:811409
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    References listed on IDEAS

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