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Ambient PM2.5 and Annual Lung Cancer Incidence: A Nationwide Study in 295 Chinese Counties

Author

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  • Huagui Guo

    (Department of Urban Planning and Design, The University of Hong Kong, Hong Kong 999077, China
    Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen 518057, China)

  • Weifeng Li

    (Department of Urban Planning and Design, The University of Hong Kong, Hong Kong 999077, China
    Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen 518057, China)

  • Jiansheng Wu

    (Key Laboratory for Urban Habitat Environmental Science and Technology, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
    Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

Abstract

Most studies have examined PM2.5 effects on lung cancer mortalities, while few nationwide studies have been conducted in developing countries to estimate the effects of PM2.5 on lung cancer incidences. To fill this gap, this work aims to examine the effects of PM2.5 exposure on annual incidence rates of lung cancer for males and females in China. We performed a nationwide analysis in 295 counties (districts) from 2006 to 2014. Two regression models were employed to analyse data controlling for time, location and socioeconomic characteristics. We also examined whether the estimates of PM2.5 effects are sensitive to the adjustment of health and behaviour covariates, and the issue of the changing cancer registries each year. We further investigated the modification effects of region, temperature and precipitation. Generally, we found significantly positive associations between PM2.5 and incidence rates of lung cancer for males and females. If concurrent PM2.5 changes by 10 μg/m 3 , then the incidence rate relative to its baseline significantly changes by 4.20% (95% CI: 2.73%, 5.88%) and 2.48% (95% CI: 1.24%, 4.14%) for males and females, respectively. The effects of exposure to PM2.5 were still significant when further controlling for health and behaviour factors or using 5 year consecutive data from 91 counties. We found the evidence of long-term lag effects of PM2.5. We also found that temperature appeared to positively modify the effects of PM2.5 on the incidence rates of lung cancer for males. In conclusion, there were significantly adverse effects of PM2.5 on the incidence rates of lung cancer for both males and females in China. The estimated effect sizes might be considerably lower than those reported in developed countries. There were long-term lag effects of PM2.5 on lung cancer incidence in China.

Suggested Citation

  • Huagui Guo & Weifeng Li & Jiansheng Wu, 2020. "Ambient PM2.5 and Annual Lung Cancer Incidence: A Nationwide Study in 295 Chinese Counties," IJERPH, MDPI, vol. 17(5), pages 1-18, February.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:5:p:1481-:d:324970
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    References listed on IDEAS

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    1. Douglas Almond & Yuyu Chen & Michael Greenstone & Hongbin Li, 2009. "Winter Heating or Clean Air? Unintended Impacts of China's Huai River Policy," American Economic Review, American Economic Association, vol. 99(2), pages 184-190, May.
    2. EunHye Yoo & C. Rudra & M. Glasgow & L. Mu, 2015. "Geospatial Estimation of Individual Exposure to Air Pollutants: Moving from Static Monitoring to Activity-Based Dynamic Exposure Assessment," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 105(5), pages 915-926, September.
    3. Lisa C. Vinikoor-Imler & J. Allen Davis & Thomas J. Luben, 2011. "An Ecologic Analysis of County-Level PM 2.5 Concentrations and Lung Cancer Incidence and Mortality," IJERPH, MDPI, vol. 8(6), pages 1-7, June.
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    Cited by:

    1. Yadong Pei & Chiou-Jye Huang & Yamin Shen & Yuxuan Ma, 2022. "An Ensemble Model with Adaptive Variational Mode Decomposition and Multivariate Temporal Graph Neural Network for PM2.5 Concentration Forecasting," Sustainability, MDPI, vol. 14(20), pages 1-22, October.
    2. Xialing Sun & Rui Zhang & Geyi Wang, 2022. "Spatial-Temporal Evolution of Health Impact and Economic Loss upon Exposure to PM 2.5 in China," IJERPH, MDPI, vol. 19(4), pages 1-17, February.

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    Keywords

    PM2.5; lung cancer incidence; long-term lag effect; China;
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