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ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Clinical Diabetes

Volume 16 - 2025 | doi: 10.3389/fendo.2025.1601089

Global Spatiotemporal Trends and Influencing Factors of Type 2 Diabetes Mellitus Mortality: Estimates and Predictions from 1990 to 2040

Provisionally accepted
Yue  ZhangYue Zhang1Huan  DengHuan Deng2Jian  ZuJian Zu1*Yujiao  DengYujiao Deng3Jingyue  TanJingyue Tan1Zhanpeng  YangZhanpeng Yang1Yang  JiaoYang Jiao4Xiaomeng  CuiXiaomeng Cui5Lei  ZhangLei Zhang6Fanpu  JiFanpu Ji2,5,7,8,9*Yuan  WangYuan Wang5*
  • 1School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China
  • 2National & Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
  • 3Division of Gastroenterology, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
  • 4Department of Endocrinology, the Second Affiliated Hospital of Xi’an Jiaotong University,, Xi’an, China
  • 5Department of Infectious Diseases, Second Affiliated Hospital of Xi'an Jiaotong University, Xi’an, Shaanxi Province, China
  • 6China-Australia Joint Research Centre for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, China
  • 7Key Laboratory of Environment and Genes Related to Diseases, Xi'an, Jiaotong University, Ministry of Education of China, Xi'an, China
  • 8Key Laboratory of Surgical Critical Care and Life Support (Xi'an Jiaotong University), Ministry of Education, Xi'an, China
  • 9Global Health Institute, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China

The final, formatted version of the article will be published soon.

Background: To predict global spatiotemporal trends and influencing factors of Type 2 diabetes mellitus (T2DM) mortality. Materials and Methods: Based on the Global Burden of Disease 2021 database, we utilized Bayesian Age-Period-Cohort model to predict age-standardized mortality rate (ASMR) of T2DM in 2022–2040. The common spatial pattern and risk factors were forecasted using Bayesian spatio-temporal model. Decomposition analysis determined the contribution of influencing factors to T2DM deaths. Frontier analysis estimated the gaps between countries and the potential to reduce ASMR. Results: The global deaths of T2DM have been growing, with ASMR showing an increasing and then gradually decreasing trend in 1990–2040 (AAPC1990–2021, 0.31 [0.21–0.42]; AAPC2022–2040, -0.16 [-0.17 to -0.15]), and they are projected to reach 2,756,631 and 18.63 (8.82–28.43) per 100,000 person by 2040, respectively. The ASMR of males is always higher than that of females except Eastern Mediterranean and increases fastest in the 15–49 years group. South-East Asia will has the largest number of deaths (1,035,666 in 2040) and the fastest growth (AAPC2022–2040, 0.22 [0.216–0.228]) in 2022–2040, but Africa will always have the highest ASMR. Age structure contributes more than 58.80% to the increase in deaths except Africa. There are 72 countries with higher ASMR in 2040 compared to 2021, and 86 countries will have heavier burden in 2022–2040. High-middle SDI countries have higher ASMR with huge potential to reduce them. Conclusions: The global deaths of T2DM have been growing, Africa will always have the highest ASMR. Age structure will be the main factor influencing T2DM mortality across regions.

Keywords: type 2 diabetes mellitus, Age-standardized mortality rate, Decomposition analysis, Frontier analysis, Bayesian spatio-temporal model

Received: 27 Mar 2025; Accepted: 06 Aug 2025.

Copyright: © 2025 Zhang, Deng, Zu, Deng, Tan, Yang, Jiao, Cui, Zhang, Ji and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Jian Zu, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China
Fanpu Ji, Department of Infectious Diseases, Second Affiliated Hospital of Xi'an Jiaotong University, Xi’an, 710004, Shaanxi Province, China
Yuan Wang, Department of Infectious Diseases, Second Affiliated Hospital of Xi'an Jiaotong University, Xi’an, 710004, Shaanxi Province, China

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