Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Diabetol Metab Syndr. 2010 Jun 8;2:36. doi: 10.1186/1758-5996-2-36.
Metabolic syndrome (MetS) encompasses a cluster of coronary heart disease and diabetes mellitus risk factors. In this study, we aimed to elucidate the factors underlying the clustering of MetS components in diabetic and non-diabetic individuals.
Factor analysis was performed on 2978 (1652 non-diabetic and 1326 diabetic) participants. Entering waist circumference, homeostasis model assessment of insulin resistance (HOMA-IR), triglycerides, high-density lipoprotein-cholesterol (HDL-C) and systolic blood pressure (SBP), we performed exploratory factor analysis in diabetic and non-diabetic individuals separately. The analysis was repeated after replacing triglycerides and HDL-C with triglycerides to HDL-C ratio (triglycerides/HDL-C). MetS was defined by either adult treatment panel III (ATPIII), international diabetes federation (IDF) criteria, or by the modified form of IDF using waist circumference cut-off points for Iranian population.
The selection of triglycerides and HDL-C as two distinct variables led to identifying two factors explaining 61.3% and 55.4% of the total variance in non-diabetic and diabetic participants, respectively. In both diabetic and non-diabetic subjects, waist circumference, HOMA-IR and SBP loaded on factor 1. Factor 2 was mainly determined by triglycerides and HDL-C. Factor 1 and 2 were directly and inversely associated with MetS, respectively. When triglycerides and HDL-C were replaced by triglycerides/HDL-C, one factor was extracted, which explained 47.6% and 38.8% of the total variance in non-diabetic and diabetic participants, respectively.
This study confirms that in both diabetic and non-diabetic participants the concept of a single underlying factor representing MetS is plausible.
代谢综合征（MetS）包含一组冠心病和糖尿病的危险因素。本研究旨在阐明糖尿病和非糖尿病个体代谢综合征成分聚类的潜在因素。
对 2978 名（1652 名非糖尿病和 1326 名糖尿病）参与者进行因子分析。我们分别在糖尿病和非糖尿病个体中，输入腰围、胰岛素抵抗评估的稳态模型（HOMA-IR）、三酰甘油、高密度脂蛋白胆固醇（HDL-C）和收缩压（SBP），进行探索性因子分析。在用三酰甘油/HDL-C 替代三酰甘油和 HDL-C 后，重复该分析。代谢综合征的定义采用美国成人治疗小组 III（ATPIII）、国际糖尿病联盟（IDF）标准或伊朗人群腰围切点的改良 IDF 形式。
选择三酰甘油和 HDL-C 作为两个不同的变量，导致在非糖尿病和糖尿病参与者中分别识别出两个解释总方差 61.3%和 55.4%的因子。在糖尿病和非糖尿病患者中，腰围、HOMA-IR 和 SBP 均加载到因子 1 上。因子 2 主要由三酰甘油和 HDL-C 决定。因子 1 和 2 分别与代谢综合征呈直接和负相关。当用三酰甘油/HDL-C 替代三酰甘油和 HDL-C 时，提取出一个因子，分别解释非糖尿病和糖尿病参与者总方差的 47.6%和 38.8%。
本研究证实，在糖尿病和非糖尿病患者中，代表代谢综合征的单一潜在因素的概念是合理的。
