A body composition-based clustering study and its association with metabolic phenotypes among the general population in China
The InBody-based clustering analysis showed males could be categorized into 2 subgroups while females could be classified into 3 subgroups, indicating that the population with a specific InBody clustering profile could be at higher risk of metabolic diseases.
Authors
- Yangtian Wang
- Yue Wu (ORCID: https://orcid.org/0000-0002-3459-5079)
- Weimin Chen (ORCID: https://orcid.org/0000-0001-8331-933X)
- Yuan Li (ORCID: https://orcid.org/0000-0002-6245-9437)
- Dan Xiang (ORCID: https://orcid.org/0000-0002-8059-8836)
Institutions
- Nanjing Drum Tower Hospital (CN)
Publication Details
- Journal
- Frontiers in Nutrition
- Published
- 2025-10-31
- DOI
- https://doi.org/10.3389/fnut.2025.1636849
- Citations
- 1
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 1.29