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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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author | 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 |
author_facet | 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 |
author_sort | Nouri-Keshtkar, Marjan |
collection | PubMed |
description | 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 and females. We also aimed to evaluate the interrelations among the associated factors involved in the development of MetS. This study used data derived from the Fasa PERSIAN cohort study, a branch of the PERSIAN cohort study, for participants aged 35 to 70 years with 10,138 males and females. SEM was used to evaluate the direct and indirect effects, as well as gender effects of influencing factors. Results from the SEM showed that in females most changes in MetS are described by waist circumference (WC), followed by hypertension (HP) and triglyceride (TG), while in males most changes in MetS are described by WC, followed by TG then fasting blood glucose (FBG). Results from the SEM confirmed the gender effects of social status on MetS, mediated by sleep and controlled by age, BMI, ethnicity and physical activity. This study also shows that the integration of TG and WC within genders could be useful as a screening criterion for MetS in our study population. |
format | Online Article Text |
id | pubmed-10520016 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105200162023-09-27 Role of gender in explaining metabolic syndrome risk factors in an Iranian rural population using structural equation modelling 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 Sci Rep Article 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 and females. We also aimed to evaluate the interrelations among the associated factors involved in the development of MetS. This study used data derived from the Fasa PERSIAN cohort study, a branch of the PERSIAN cohort study, for participants aged 35 to 70 years with 10,138 males and females. SEM was used to evaluate the direct and indirect effects, as well as gender effects of influencing factors. Results from the SEM showed that in females most changes in MetS are described by waist circumference (WC), followed by hypertension (HP) and triglyceride (TG), while in males most changes in MetS are described by WC, followed by TG then fasting blood glucose (FBG). Results from the SEM confirmed the gender effects of social status on MetS, mediated by sleep and controlled by age, BMI, ethnicity and physical activity. This study also shows that the integration of TG and WC within genders could be useful as a screening criterion for MetS in our study population. Nature Publishing Group UK 2023-09-25 /pmc/articles/PMC10520016/ /pubmed/37749166 http://dx.doi.org/10.1038/s41598-023-40485-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article 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 Role of gender in explaining metabolic syndrome risk factors in an Iranian rural population using structural equation modelling |
title | Role of gender in explaining metabolic syndrome risk factors in an Iranian rural population using structural equation modelling |
title_full | Role of gender in explaining metabolic syndrome risk factors in an Iranian rural population using structural equation modelling |
title_fullStr | Role of gender in explaining metabolic syndrome risk factors in an Iranian rural population using structural equation modelling |
title_full_unstemmed | Role of gender in explaining metabolic syndrome risk factors in an Iranian rural population using structural equation modelling |
title_short | Role of gender in explaining metabolic syndrome risk factors in an Iranian rural population using structural equation modelling |
title_sort | role of gender in explaining metabolic syndrome risk factors in an iranian rural population using structural equation modelling |
topic | Article |
url | 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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