Utility of Anthropometric Indexes for Detecting Metabolic Syndrome in Resource-Limited Regions of Northwestern China: Cross-Sectional Study
According to 8 anthropometric and lipid-related indices, it is suggested that WHtR and LAP are the most appropriate indexes for identifying the presence of MetS in resource-limited areas.
Authors
- Yining Liu
- Hongjuan Shi (ORCID: https://orcid.org/0000-0002-0744-4013)
- Chao Shi (ORCID: https://orcid.org/0000-0002-1418-6112)
- Ling Ma (ORCID: https://orcid.org/0009-0007-4681-4850)
- Danyu Yang (ORCID: https://orcid.org/0009-0008-3775-4435)
- Cheng Yin (ORCID: https://orcid.org/0009-0002-7197-2854)
Institutions
- Ningxia Medical University (CN)
- Ningxia Medical University General Hospital (CN)
- The Fourth People's Hospital of Ningxia Hui Autonomous Region (CN)
Publication Details
- Journal
- JMIR Public Health and Surveillance
- Published
- 2024-11-29
- DOI
- https://doi.org/10.2196/57799
- Citations
- 9
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 3.22