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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Sci Rep
Egile Nagusiak: Ahanchi, Noushin Sadat, Hadaegh, Farzad, Alipour, Abbas, Ghanbarian, Arash, Azizi, Fereidoun, Khalili, Davood
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Nature Publishing Group UK 2019
Gaiak:
Sarrera elektronikoa: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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