The effect of smoking on latent hazard classes of metabolic syndrome using latent class causal analysis method in the Iranian population

BACKGROUND: The prevalence of metabolic syndrome is increasing worldwide. Clinical guidelines consider metabolic syndrome as an all or none medical condition. One proposed method for classifying metabolic syndrome is latent class analysis (LCA). One approach to causal inference in LCA is using prope...

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Detalles Bibliográficos
Autores principales: Khodamoradi, Farzad, Nazemipour, Maryam, Mansournia, Nasrin, Yazdani, Kamran, khalili, Davood, Arshadi, Maedeh, Etminan, Mahyar, Mansournia, Mohammad Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588163/
https://www.ncbi.nlm.nih.gov/pubmed/37864179
http://dx.doi.org/10.1186/s12889-023-16863-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588163/
https://www.ncbi.nlm.nih.gov/pubmed/37864179
http://dx.doi.org/10.1186/s12889-023-16863-6

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