Using easy-to-collect indices to develop and validate models for identifying metabolic syndrome and pre-metabolic syndrome
Our models offered an easy, accurate and efficient tool for identifying MetS and pre-MetS, which might be used in large-scale population screening or self-health management at home.
Authors
- Yining Liu
- Hongjuan Shi (ORCID: https://orcid.org/0000-0002-0744-4013)
- Jinyu Ma
- Chao Shi (ORCID: https://orcid.org/0000-0002-1418-6112)
- Ling Ma (ORCID: https://orcid.org/0009-0007-4681-4850)
- L. Wu (ORCID: https://orcid.org/0009-0006-2108-0144)
- Huitian Tong
- Cheng Yin (ORCID: https://orcid.org/0009-0002-7197-2854)
Institutions
- Ningxia Hui Autonomous Region Peoples Hospital (CN)
- Ningxia Medical University (CN)
- The Fourth People's Hospital of Ningxia Hui Autonomous Region (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-06-11
- DOI
- https://doi.org/10.3389/fendo.2025.1587354
- Citations
- 1
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 1.29
Funders
- Natural Science Foundation of Ningxia Province