Your Location:
Home >
Browse articles >
The national and provincial prevalence and non-fatal burdens of diabetes in China from 2005 to 2023 with projections of prevalence to 2050
RESEARCH | Updated:2026-01-27
    • The national and provincial prevalence and non-fatal burdens of diabetes in China from 2005 to 2023 with projections of prevalence to 2050

    • “Reporting on the latest research in diabetes management, a study reveals significant temporal trends and geographical variations in diabetes prevalence and non-fatal burden across China from 2005 to 2023. Experts utilized the DisMod-MR model to estimate the non-fatal burdens, including prevalence and YLDs, and projected diabetes prevalence to 2050 under two scenarios. This research provides critical insights into diabetes prevention and management, laying a foundation for enhancing disease control and treatment outcomes.”
    • Yu-Chang Zhou , Jiang-Mei Liu , Zhen-Ping Zhao , Mai-Geng Zhou , Marie Ng
    • Military Medical Research Vol. 12, Issue 11, Pages: 1686-1702(2025)
    • DOI: 10.1186/s40779-025-00615-1     

      CLC:
    • Accepted:09 May 2025 ,

    Scan QR Code

  •  
  •  
  • AI Introduction

  • Full Text(HTML)

  • Figs( 3 ) Tabs( 2 )

  • References

  • Publication Info

  • Metrics

380

Views

108

Downloads

0

CSCD

Alert me when the article has been cited
Submit
Tools
  • BibTeXDownload
  • EndnoteDownload
  • RefMan Download
  • NoteExpressDownload
  • NoteFirstDownload

Related Articles

Forecasting the prevalence of epilepsy in low- and middle-income countries to 2050 using a hybrid deep neural network-transformer modeling framework: insights from the Global Burden of Disease Study 2023
National and subnational burden and causes of anemia in China from 1990 to 2023: findings from the Global Burden of Disease Study 2023
Life expectancy of cancer patients in China
The national and provincial disease and indirect economic burden of high alcohol use in China from 1990 to 2023 with forecasting to 2050
Engineered exosomes for diabetic foot ulcers: lessons learned, challenges remain

Related Author

Mai-Geng Zhou
Marie Ng
Zhi-Jin Zhang
Hao-Feng Wang
Yu-Sha Cui
Shi-Nuan Lin
Han Jiao
Fan-Gang Meng

Related Institution

Department of Neurology, Beijing Tiantan Hospital, Capital Medical University
China National Clinical Research Center for Neurological Diseases
National Engineering Research Center of Visual Technology, School of Computer Science, Peking University
HUST-GYENNO CNS Intelligent Digital Medicine Technology Center, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology
Guangdong Provincial Engineering Technology Research Center for Medical Artificial Intelligence in Neurological Diseases