Evaluating global epidemiology of type 2 diabetes mellitus among the working‐age population: A 60‐year study by interpretable machine learning framework
Global T2DM burden among the WAP shows alarming trends, particularly in ageing societies where labour forces are highly valued. Tailored WAP guidelines may reduce T2DM burden worldwide, but stronger efforts on obesity and climate change are essential for effective T2DM management.
Authors
- Liegang Liu (ORCID: https://orcid.org/0000-0002-7029-1224)
- Xuan Zhong (ORCID: https://orcid.org/0009-0003-9673-5422)
- Yingjie Luo (ORCID: https://orcid.org/0009-0004-6477-4248)
- Hongen Chen (ORCID: https://orcid.org/0000-0002-1817-1006)
- Binfa Ouyang
- Dan Zhao (ORCID: https://orcid.org/0000-0002-5120-6725)
- Shan Xu
- Yijin Zheng
- Xiaoqiang Peng (ORCID: https://orcid.org/0000-0002-5104-2580)
- Li Wang (ORCID: https://orcid.org/0000-0003-2068-7535)
Institutions
- Sun Yat-sen University (CN)
- Shenzhen Chronic Disease Prevention Center (CN)
- Shenzhen Nanshan Center for Chronic Disease Control (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Diabetes Obesity and Metabolism
- Published
- 2025-10-08
- DOI
- https://doi.org/10.1111/dom.70155
- Citations
- 1
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 1.88