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Secular trends in global burden of diabetes attributable to particulate matter pollution from 1990 to 2019

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Abstract

Increasing evidence suggests an association between fine particulate matter (PM2.5) exposure and type 2 diabetes mellitus. However, there is still a lack of comparative evaluation regarding diabetes burden due to ambient and indoor PM2.5 pollution at a global scale. This study attempts to provide a systematic and comprehensive profile for PM2.5-attributable burden of diabetes and its spatiotemporal trends, globally and regionally. Comparative estimates of diabetes attributable to ambient PM2.5 and household air pollution (HAP) from solid fuels for 204 countries and territories were derived from the Global Burden of Disease Study 2019. Globally, 292.5 (95% uncertainty interval: 207.1, 373.4) thousand deaths and 13.0 (9.1, 17.2) million disability-adjusted life years (DALYs) from diabetes were attributed to PM2.5 pollution in 2019, wherein more than two-thirds (67.3% deaths and 69.7% DALYs) were contributed by ambient PM2.5. Compared to 1990, age-standardized DALY rate (ASDR) in 2019 attributable to ambient PM2.5 increased by 85.9% (APC: 2.21% [2.15, 2.27]), while HAP-associated ASDR decreased by 37.9% (APC: − 1.66% [− 1.82, − 1.50]). We observed a negative correlation between SDI and APC in ASMR (rs =  − 0.5, p < 0.001) and ASDR (rs = -0.4, p < 0.001) among 204 countries and territories. HAP-related diabetes experienced a sharp decline during 1990–2019, while global burden of diabetes attributable to ambient PM2.5 was rising rapidly. The elderly and people in low-SDI countries suffered from the greatest burden of diabetes due to PM2.5 pollution. More targeted interventions should be taken by governments to reduce PM2.5 exposure and related diabetes burden.

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Data availability

The datasets generated and/or analyzed during the current study are available in the (GBD) repository (http://ghdx.healthdata.org/gbd-results-tool).

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Acknowledgements

The authors wish to acknowledge the contributions of Global Burden of Disease for assistance in providing data.

Funding

This study was financially supported by Scientific Research Program Funded by Hubei Provincial Department of Education (Grant No. Q20201104), Open Fund Project of Hubei Province Key Laboratory of Occupational Hazard Identification and Control (Grant No. OHIC2020Y01).

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Author notes

  1. Yong Yu & Minjin Peng

    Present address: Department of Infection Control, Shiyan Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, China

  2. Kai Wang and Yunquan Zhang are co-first authors who contributed equally to this paper.

Authors and Affiliations

  1. Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China

    Kai Wang, Yunquan Zhang, Yaqi Wang, Jiaxin Liu, Peixuan Zhou, Yang Yuan, Zhouxin Yin & Shaocai Mo

  2. School of Public Health, Hubei University of Medicine, Shiyan, 442000, China

    Yong Yu & Minjin Peng

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  1. Kai Wang
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Contributions

Kai Wang: data curation, formal analysis, writing — original draft, writing — review and editing, visualization. Yunquan Zhang: conceptualization, methodology, data curation, writing — review and editing, visualization. Yaqi Wang: data curation, writing — review and editing. Jiaxin Liu: data curation, writing — review and editing. Peixuan Zhou: data curation, writing — review and editing. Zhouxin Yin: data curation, writing — review and editing. Shaocai Mo: data curation, writing — review and editing. Yang Yuan: data curation, writing — review and editing. Yong Yu: data curation, writing — review and editing. Minjin Peng: conceptualization, methodology, data curation, writing — review and editing, visualization.

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Correspondence to Minjin Peng.

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Wang, K., Zhang, Y., Wang, Y. et al. Secular trends in global burden of diabetes attributable to particulate matter pollution from 1990 to 2019. Environ Sci Pollut Res 29, 52844–52856 (2022). https://doi.org/10.1007/s11356-022-19510-6

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