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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Veröffentlicht in:Sci Rep
Hauptverfasser: Ahanchi, Noushin Sadat, Hadaegh, Farzad, Alipour, Abbas, Ghanbarian, Arash, Azizi, Fereidoun, Khalili, Davood
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Publishing Group UK 2019
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Article
Online Zugang: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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