IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i9p5752-d811409.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/9/5752/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/9/5752/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schenker N. & Gentleman J. F., 2001. "On Judging the Significance of Differences by Examining the Overlap Between Confidence Intervals," The American Statistician, American Statistical Association, vol. 55, pages 182-186, August.
    2. Olufunmilola Ibironke & Claudia Carranza & Srijata Sarkar & Martha Torres & Hyejeong Theresa Choi & Joyce Nwoko & Kathleen Black & Raul Quintana-Belmares & Álvaro Osornio-Vargas & Pamela Ohman-Strickl, 2019. "Urban Air Pollution Particulates Suppress Human T-Cell Responses to Mycobacterium Tuberculosis," IJERPH, MDPI, vol. 16(21), pages 1-18, October.
    3. Roger D. Peng & Francesca Dominici & Thomas A. Louis, 2006. "Model choice in time series studies of air pollution and mortality," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(2), pages 179-203, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yunquan Zhang & Chuanhua Yu & Jin Yang & Lan Zhang & Fangfang Cui, 2017. "Diurnal Temperature Range in Relation to Daily Mortality and Years of Life Lost in Wuhan, China," IJERPH, MDPI, vol. 14(8), pages 1-11, August.
    2. Robert J. R. Elliott & Ingmar Schumacher & Cees Withagen, 2020. "Suggestions for a Covid-19 Post-Pandemic Research Agenda in Environmental Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 1187-1213, August.
    3. Domínguez-Torreiro, Marcos & Soliño, Mario, 2011. "Provided and perceived status quo in choice experiments: Implications for valuing the outputs of multifunctional rural areas," Ecological Economics, Elsevier, vol. 70(12), pages 2523-2531.
    4. Kai Luo & Wenjing Li & Ruiming Zhang & Runkui Li & Qun Xu & Yang Cao, 2016. "Ambient Fine Particulate Matter Exposure and Risk of Cardiovascular Mortality: Adjustment of the Meteorological Factors," IJERPH, MDPI, vol. 13(11), pages 1-17, November.
    5. Tim Goedemé & Karel Van den Bosch & Lina Salanauskaite & Gerlinde Verbist, 2013. "Testing the Statistical Significance of Microsimulation Results: Often Easier than You Think. A Technical Note," ImPRovE Working Papers 13/10, Herman Deleeck Centre for Social Policy, University of Antwerp.
    6. Yao Xiao & Chengzhen Meng & Suli Huang & Yanran Duan & Gang Liu & Shuyuan Yu & Ji Peng & Jinquan Cheng & Ping Yin, 2021. "Short-Term Effect of Temperature Change on Non-Accidental Mortality in Shenzhen, China," IJERPH, MDPI, vol. 18(16), pages 1-14, August.
    7. Thomas Yee & Alfian Hadi, 2014. "Row–column interaction models, with an R implementation," Computational Statistics, Springer, vol. 29(6), pages 1427-1445, December.
    8. Andrew Kerner & Morten Jerven & Alison Beatty, 2017. "Does it pay to be poor? Testing for systematically underreported GNI estimates," The Review of International Organizations, Springer, vol. 12(1), pages 1-38, March.
    9. McKendree, Melissa G.S. & Olynk Widmar, Nicole & Ortega, David L. & Foster, Kenneth A., 2013. "Consumer Preferences for Verified Pork-Rearing Practices in the Production of Ham Products," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(3), pages 1-21.
    10. Montero, José-María, 2018. "Geostatistics: Unde venis et quo vadis? /Geoestadística:¿De dónde vienes y a dónde vas?," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 36, pages 81-106, Enero.
    11. Kumar, Santosh & Nahlen, Bernard, 2023. "Intergenerational persistence of health: Evidence from India," Economics Letters, Elsevier, vol. 224(C).
    12. Paul Mwebaze & Jeff Bennett & Nigel W. Beebe & Gregor J. Devine & Paul Barro, 2018. "Economic Valuation of the Threat Posed by the Establishment of the Asian Tiger Mosquito in Australia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(2), pages 357-379, October.
    13. Amy E. Wagler, 2014. "Confidence Intervals for Assessing Heterogeneity in Generalized Linear Mixed Models," Journal of Educational and Behavioral Statistics, , vol. 39(3), pages 167-179, June.
    14. Laura Lindberg & Kathryn Kost & Isaac Maddow-Zimet & Sheila Desai & Mia Zolna, 2020. "Abortion Reporting in the United States: An Assessment of Three National Fertility Surveys," Demography, Springer;Population Association of America (PAA), vol. 57(3), pages 899-925, June.
    15. Adam A. Szpiro & Lianne Sheppard & Sara D. Adar & Joel D. Kaufman, 2014. "Estimating acute air pollution health effects from cohort study data," Biometrics, The International Biometric Society, vol. 70(1), pages 164-174, March.
    16. Matthew Fell & Craig Russell & Jibby Medina & Toby Gillgrass & Shaheel Chummun & Alistair R M Cobb & Jonathan Sandy & Yvonne Wren & Andrew Wills & Sarah J Lewis, 2021. "The impact of changing cigarette smoking habits and smoke-free legislation on orofacial cleft incidence in the United Kingdom: Evidence from two time-series studies," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-18, November.
    17. Fang Huang & Renjie Chen & Yuetian Shen & Haidong Kan & Xingya Kuang, 2016. "The Impact of the 2013 Eastern China Smog on Outpatient Visits for Coronary Heart Disease in Shanghai, China," IJERPH, MDPI, vol. 13(7), pages 1-6, June.
    18. Tobias Keller & Martin Glaum & Andreas Bausch & Thorsten Bunz, 2023. "The “CEO in context” technique revisited: A replication and extension of Hambrick and Quigley (2014)," Strategic Management Journal, Wiley Blackwell, vol. 44(4), pages 1111-1138, April.
    19. Leigh Fisher & Jon Wakefield & Cici Bauer & Steve Self, 2017. "Time series modeling of pathogen-specific disease probabilities with subsampled data," Biometrics, The International Biometric Society, vol. 73(1), pages 283-293, March.
    20. Bir, Courtney & Wolf, Christopher A. & Widmar, Nicole Olynk, 2020. "Dog and Cat Owner Demand for Veterinary Service Payment Plans," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 46(2), August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5752-:d:811409. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.