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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Detalles Bibliográficos
Autores principales: Ahanchi, Noushin Sadat, Hadaegh, Farzad, Alipour, Abbas, Ghanbarian, Arash, Azizi, Fereidoun, Khalili, Davood
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6367385/
https://www.ncbi.nlm.nih.gov/pubmed/30733469
http://dx.doi.org/10.1038/s41598-018-38095-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6367385/
https://www.ncbi.nlm.nih.gov/pubmed/30733469
http://dx.doi.org/10.1038/s41598-018-38095-0

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