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Diabetes mortality burden attributable to short-term effect of PM10 in China

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Abstract

Ambient air pollution may be associated with diabetes mellitus. However, evidence from developing countries is limited although the concentrations of air pollution are disproportionably higher in these countries. We collected daily data on diabetes mortality, air pollution, and weather conditions from 16 Chinese provincial cities during 2007–2013. A quasi-Poisson regression combined with a distributed lag model was used to quantify the city-specific mortality risk of PM10 (particulate matter with aerodynamic diameter < 10 μm). Then, a random-effect meta-analysis was conducted to pool effect estimates from 16 cities. We also calculated the attributable fraction and attributable number of diabetes mortality due to PM10. Effects of PM10 were found to be acute and limited to 3 days. Harvesting effect of PM10 was found during lag 4–10 days on diabetes mortality. An increase of 0.17% (95%CI: 0.01–0.34), 0.48% (95%CI: 0.22–0.73), and 0.53% (95%CI: 0.27–0.80) in diabetes mortality was associated with per 10 μg/m3 increase in PM10 at lag 0, 0–4 and 0–10 days, respectively. Totally, 5.76% (95%CI: 2.59–8.00%) and 5878 (95%CI: 2639–8163) deaths due to diabetes could be attributable to PM10. If the concentration of PM10 attained the Chinese government and WHO targets, the reduction in number of PM2.5-attributed diabetes deaths was 2016 and 5528, respectively. Higher effect estimates of PM10 were observed among females and those aged 0–64 years old at lag 0 day, while greater cumulative effects of PM10 were among males, the elderly aged 75 or over, and the illiterate at lag 0–10 days. However, the between-group differences were not statistically significant. It is one of the few studies on examining the attributable burden of diabetes mortality caused by particulate matter. Our findings indicated that effective efforts on controlling air pollution could reduce a prominent number of air pollution-related diabetes deaths.

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Funding

The study was supported by the Fundamental Research Funds for the Central Universities (No. 11618323), the National Key Research and Development Program of China (No. 2018YFC0213602), the Natural Science Foundation of Guangdong Province (No. 2018A030310655), and the Department of Science and Technology of Guangdong Province (2019B110206002 and 2019B121202002).

Author information

Authors and Affiliations

  1. Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China

    Jun Yang, Boguang Wang, Hao Wang & Chunlin Zhang

  2. Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China

    Jun Yang, Boguang Wang, Hao Wang & Chunlin Zhang

  3. National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, China

    Maigeng Zhou & Peng Yin

  4. China National Environmental Monitoring Centre, Beijing, 100012, China

    Fengying Zhang

  5. CAPHRI School of Public Health and Primary Care, Maastricht University, Maastricht, Netherlands

    Fengying Zhang

  6. School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia

    Yuming Guo

  7. Department of Clinical Epidemiology and Biostatistics, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China

    Shilu Tong

  8. School of Public Health and Institute of Environment and Population Health, Anhui Medical University, Hefei, China

    Shilu Tong

  9. School of Public Health and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia

    Shilu Tong

  10. Division of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, OH, 43210, USA

    Qinghua Sun

  11. State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China

    Xiuping Song & Qiyong Liu

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  1. Jun Yang
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  10. Qinghua Sun
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  12. Qiyong Liu
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Contributions

J.Y. and Q.L. initiated the study. M.Z., P.Y., Q.L., F.Z., and J.Y. collected the data. J.Y. performed statistical analysis. J.Y. drafted the manuscript. B.W., Y.G., S.T., H.W., C.Z., X.S., F.Z., Q.S., and Q.L. revised the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Jun Yang or Qiyong Liu.

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Competing interests

The authors declare that they have no competing interests.

Ethics approval

Ethical approval was not required for secondary analysis of anonymous data in this study.

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Responsible editor: Lotfi Aleya

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Jun Yang, Maigeng Zhou and Fengying Zhang are co-first authors.

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Yang, J., Zhou, M., Zhang, F. et al. Diabetes mortality burden attributable to short-term effect of PM10 in China. Environ Sci Pollut Res 27, 18784–18792 (2020). https://doi.org/10.1007/s11356-020-08376-1

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