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Karimollah Hajian-Tilaki  (Hajian-Tilaki K) 1 Article
Obesity and Metabolic Syndrome
Comparison of Competitive Models of Metabolic Syndrome Using Structural Equation Modeling: A Confirmatory Factor Analysis
Karimollah Hajian-Tilaki
Diabetes Metab J. 2018;42(5):433-441.   Published online October 22, 2018
DOI: https://doi.org/10.4093/dmj.2018.0010
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  • 4 Web of Science
  • 4 Crossref
AbstractAbstract PDFPubReader   
Background

The purpose of this study was to apply the structural equation modeling (SEM) to compare the fitness of different competing models (one, two, and three factors) of the metabolic syndrome (MetS) in Iranian adult population.

Methods

Data are given on the cardiometabolic risk factors of 841 individuals with nondiabetic adults from a cross-sectional population-based study of glucose, lipids, and MetS in the north of Iran. The three conceptual hypothesized models (single factor, two correlated factors, and three correlated latent factors) were evaluated by using confirmatory factor analysis with the SEM approach. The summary statistics of correlation coefficients and the model summary fitting indexes were calculated.

Results

The findings show that a single-factor model and a two-correlated factor model had a poorer summary fitting index compared with a three-correlated factor model. All fitting criteria met the conceptual hypothesized three-correlated factor model for both sexes. However, the correlation structure between the three underlying constructs designating the MetS was higher in women than in men.

Conclusion

These results indicate the plausibility of the pathophysiology and etiology of MetS being multifactorial, rather than a single factor, in a nondiabetic Iranian adult population.

Citations

Citations to this article as recorded by  
  • Structural Equation Modelling for Predicting the Relative Contribution of Each Component in the Metabolic Syndrome Status Change
    José E. Teixeira, José A. Bragada, João P. Bragada, Joana P. Coelho, Isabel G. Pinto, Luís P. Reis, Paula O. Fernandes, Jorge E. Morais, Pedro M. Magalhães
    International Journal of Environmental Research and Public Health.2022; 19(6): 3384.     CrossRef
  • New risk score model for identifying individuals at risk for diabetes in southwest China
    Liying Li, Ziqiong Wang, Muxin Zhang, Haiyan Ruan, Linxia Zhou, Xin Wei, Ye Zhu, Jiafu Wei, Sen He
    Preventive Medicine Reports.2021; 24: 101618.     CrossRef
  • Definition and early diagnosis of metabolic syndrome in children
    Gunter Matthias Christian Flemming, Sarah Bussler, Antje Körner, Wieland Kiess
    Journal of Pediatric Endocrinology and Metabolism.2020; 33(7): 821.     CrossRef
  • Calcium-Sensing Receptor in Adipose Tissue: Possible Association with Obesity-Related Elevated Autophagy
    Pamela Mattar, Sofía Sanhueza, Gabriela Yuri, Lautaro Briones, Claudio Perez-Leighton, Assaf Rudich, Sergio Lavandero, Mariana Cifuentes
    International Journal of Molecular Sciences.2020; 21(20): 7617.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal
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