Optimal cut-points of different anthropometric indices and their joint effect in prediction of type 2 diabetes: results of a cohort study

BACKGROUND: To determine the anthropometric indices that would predict type 2 diabetes (T2D) and delineate their optimal cut-points. METHODS: In a cohort study, 7017 Iranian adults, aged 20–60 years, free of T2D at baseline were investigated. Using Cox proportional hazard models, hazard ratios (HRs)...

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Detalles Bibliográficos
Autores principales: Zafari, Neda, Lotfaliany, Mojtaba, Mansournia, Mohammad Ali, Khalili, Davood, Azizi, Fereidoun, Hadaegh, Farzad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987476/
https://www.ncbi.nlm.nih.gov/pubmed/29866083
http://dx.doi.org/10.1186/s12889-018-5611-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987476/
https://www.ncbi.nlm.nih.gov/pubmed/29866083
http://dx.doi.org/10.1186/s12889-018-5611-6

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