Role of gender in explaining metabolic syndrome risk factors in an Iranian rural population using structural equation modelling

Many factors can lead to an increase in the prevalence of metabolic syndrome (MetS) in different populations. Using an advanced structural equation model (SEM), this study is aimed to determine the most important risk factors of MetS, as a continuous latent variable, using a large number of males an...

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Detalles Bibliográficos
Autores principales: Nouri-Keshtkar, Marjan, Shojaei Shahrokhabadi, Mohadeseh, Ghaheri, Azadeh, Hosseini, Roya, Ketabi, Hassan, Farjam, Mojtaba, Chen, Ding-Geng, Rezaeian, Mehdi, Homayounfar, Reza, Tahamtani, Yaser, Totonchi, Mehdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520016/
https://www.ncbi.nlm.nih.gov/pubmed/37749166
http://dx.doi.org/10.1038/s41598-023-40485-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520016/
https://www.ncbi.nlm.nih.gov/pubmed/37749166
http://dx.doi.org/10.1038/s41598-023-40485-y

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