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Application of Latent Class Analysis to Identify Metabolic Syndrome Components Patterns in adults: Tehran Lipid and Glucose study

In this study, using latent class analysis (LCA), we investigated whether there are any homogeneous subclasses of individuals exhibiting different profiles of metabolic syndrome (MetS) components. The current study was conducted within the framework of the Tehran Lipid and Glucose Study (TLGS), a po...

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Bibliographic Details
Published in:Sci Rep
Main Authors: Ahanchi, Noushin Sadat, Hadaegh, Farzad, Alipour, Abbas, Ghanbarian, Arash, Azizi, Fereidoun, Khalili, Davood
Format: Artigo
Language:Inglês
Published: Nature Publishing Group UK 2019
Subjects:
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6367385/
https://ncbi.nlm.nih.gov/pubmed/30733469
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-38095-0
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