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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...
Autores principales: | Li, Qiyu, Wang, Pengbo, Li, Guangxiao, Chang, Ye, Guo, Xiaofan, Sun, Yingxian, Zhang, Xingang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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