ArticleScientific reports2023
Role of gender in explaining metabolic syndrome risk factors in an Iranian rural population using structural equation modelling.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Evaluation of the effect of baseline predictors on the incidence of metabolic syndrome in middle-aged and elderly individuals: a population-based cohort study in Southwest Iran.Diabetology & metabolic syndrome · 2026Article
- Nutritional education interventions on the components of metabolic syndrome in the North-Western Bangladeshi adults.BMC nutrition · 2025Article
- Association of anthropometry indices and metabolic syndrome in Iranians: a cross-sectional study of the Fasa adult cohort study.BMJ open · 2025Article
- Iron Homeostasis-Related Parameters and Hepcidin/Ferritin Ratio: Emerging Sex-Specific Predictive Markers for Metabolic Syndrome.Metabolites · 2024Article
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11 authors.
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Abstract
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.
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