Hajian-Tilaki Karimollah
Department of Biostatistics and Epidemiology, Babol University of Medical Sciences, Babol, IR Iran.
Int J Endocrinol Metab. 2018 Apr 17;16(2):e14159. doi: 10.5812/ijem.14159. eCollection 2018 Apr.
The aim of this study was to explore the underlying latent factors that can explain the observed variation of components of metabolic syndrome (MetS) in Iranian non-diabetic adult population.
The researchers performed an exploratory factor analysis (EFA) of metabolic syndrome components, including body mass index (BMI), waist circumference (WC), systolic (SBP) and diastolic blood pressure (DBP), triglyceride (TG), high density lipoprotein (HDL), and Fasting blood sugar (FBS). These observed variables were measured from a representative sample of 841 non-diabetic participants in a cross-sectional population-based study of adults aged 20 to 70 years in the North of Iran.
Three factors were extracted by EFA in both genders. In males, the 3 generated factors were, 1) blood pressure factor underlying systolic and diastolic blood pressure, 2) obesity factor manifested by BMI and WC, 3) lipid/glucose factor underlying TG, HDL and FBS that explained 23.9%, 23.0% and 18.4% of variance in the observed data, respectively, in males. However, in females, BMI and WC were revealed as obesity factors, and systolic and diastolic blood pressure were characterized as hypertension factor, and TG, HDL and FBS appeared to be loaded on lipid/glucose factor, similar to males, and designated 25.6%, 25.4%, and 15.8% of the variance, respectively. Triglyceride and FBS were positively loaded, whereas HDL was loaded negatively with similar loading pattern in both genders. Overall, these 3 underlying latent factors explained 65.3% of the variance of observed clinical data sets in males and 66.8% in females. When TG and HDL were replaced by TG to HDL ratio and also SBP and DBP by mean arterial pressure (MAP), the two-factor model was generated in both genders.
The 2-and 3-factor models were characterized indicating a single pathogenesis that could not explain the unified clustering of MetS in non-diabetic adults.
本研究旨在探索潜在的影响因素，以解释伊朗非糖尿病成年人群中观察到的代谢综合征（MetS）各组分的变化情况。
研究人员对代谢综合征的组分进行了探索性因素分析（EFA），这些组分包括体重指数（BMI）、腰围（WC）、收缩压（SBP）和舒张压（DBP）、甘油三酯（TG）、高密度脂蛋白（HDL）以及空腹血糖（FBS）。这些观察变量来自伊朗北部一项针对20至70岁成年人的基于人群的横断面研究中841名非糖尿病参与者的代表性样本。
EFA在男性和女性中均提取出三个因素。在男性中，产生的三个因素分别为：1）收缩压和舒张压所代表的血压因素；2）由BMI和WC体现的肥胖因素；3）TG、HDL和FBS所代表的脂质/血糖因素，分别解释了观察数据中23.9%、23.0%和18.4%的方差。然而，在女性中，BMI和WC被揭示为肥胖因素，收缩压和舒张压被表征为高血压因素，TG、HDL和FBS与男性类似，似乎加载在脂质/血糖因素上，分别解释了25.6%、25.4%和15.8%的方差。甘油三酯和空腹血糖呈正负荷，而高密度脂蛋白在两性中均呈负负荷，且负荷模式相似。总体而言，这三个潜在因素解释了男性观察到的临床数据集方差的65.3%，女性为66.8%。当用甘油三酯与高密度脂蛋白的比值替代TG，并用平均动脉压（MAP）替代SBP和DBP时，在两性中均产生了双因素模型。
二因素和三因素模型的特征表明单一发病机制无法解释非糖尿病成年人中代谢综合征的统一聚类情况。
