Role of gender in explaining metabolic syndrome risk factors in an Iranian rural population using structural equation modelling.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
25 09 2023
25 09 2023
Historique:
received:
07
02
2023
accepted:
10
08
2023
medline:
27
9
2023
pubmed:
26
9
2023
entrez:
25
9
2023
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 37749166
doi: 10.1038/s41598-023-40485-y
pii: 10.1038/s41598-023-40485-y
pmc: PMC10520016
doi:
Substances chimiques
Triglycerides
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
16007Informations de copyright
© 2023. Springer Nature Limited.
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