Hajian-Tilaki Karimollah
Department of Biostatistics and Epidemiology, Babol University of Medical Sciences, Babol, Iran.
Diabetes Metab J. 2018 Oct;42(5):433-441. doi: 10.4093/dmj.2018.0010.
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.
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.
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.
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.
本研究旨在应用结构方程模型（SEM）比较伊朗成年人群中代谢综合征（MetS）不同竞争模型（单因素、双因素和三因素）的拟合度。
数据来自一项基于人群的横断面研究，该研究涉及伊朗北部841名非糖尿病成年个体的心脏代谢危险因素，内容包括血糖、血脂和代谢综合征。采用结构方程模型方法中的验证性因素分析对三个概念性假设模型（单因素、两个相关因素和三个相关潜在因素）进行评估。计算相关系数的汇总统计量和模型汇总拟合指数。
研究结果表明，与三因素相关模型相比，单因素模型和双因素相关模型的汇总拟合指数较差。所有拟合标准均符合两性概念性假设的三因素相关模型。然而，女性中表示代谢综合征的三个潜在结构之间的相关结构高于男性。
这些结果表明，在非糖尿病伊朗成年人群中，代谢综合征的病理生理学和病因学具有多因素而非单因素的合理性。
