Using the changes of several simple anthropometric indices to predict the occurrence of metabolic syndrome: Findings from medically under-resourced communities in rural China

BACKGROUND: Various anthropometric indices have been proved to be useful to predict metabolic syndrome(MetS), but the association between changes in anthropometric indices and the onset of MetS is unclear. This study selected six indices that are easy to measure and calculate in daily life and evalu...

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Detalles Bibliográficos
Autores principales: Li, Qiyu, Wang, Pengbo, Li, Guangxiao, Chang, Ye, Guo, Xiaofan, Sun, Yingxian, Zhang, Xingang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9618802/
https://www.ncbi.nlm.nih.gov/pubmed/36325456
http://dx.doi.org/10.3389/fendo.2022.1014541

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9618802/
https://www.ncbi.nlm.nih.gov/pubmed/36325456
http://dx.doi.org/10.3389/fendo.2022.1014541

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