RSSDI Repository, Complications of Diabetes Demonstration
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  • Predicting metabolic syndrome by anthropometric measures among adults 35–65 years in the west of Iran; a cross sectional study from an Iranian RaNCD cohort data

Predicting metabolic syndrome by anthropometric measures among adults 35–65 years in the west of Iran; a cross sectional study from an Iranian RaNCD cohort data

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Observational studies B Hamzeh, A Bagheri, Y Pasdar, M Darbandi… - Diabetes & Metabolic …, 2020 - Elsevier

Chapter : Section2
Journal Year : 2020
Cited by : 5

… Anthropometric indices have been proposed for the early detection of metabolic syndrome (MetS) and its risk factors. The present study aimed to determine optimal cutoff points for the …..... Read More

Keywords : ['anthropometric measure among adult year', 'iranian rancd cohort datum', 'predict metabolic syndrome', 'cross sectional study', 'west', 'iran']
PubMed Link : https://www.sciencedirect.com/science/article/pii/S1871402120302617
Google Scholar Link : https://scholar.google.com/scholar?cites=3799278660694774570&as_sdt=5,50&sciodt=0,50&hl=en&num=20