Motamed Nima, Zamani Farhad, Rabiee Behnam, Saeedian Fatemeh Sima, Maadi Mansooreh, Akhavan-Niaki Haleh, Asouri Mohsen
Department of Social Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
Gastrointestinal and Liver Disease Research Center, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran.
Arch Iran Med. 2016 Feb;19(2):110-5.
Although metabolic syndrome (MetS) is a major health problem worldwide, there is no universal agreement on its definition. One of the major disagreements is dealing with the issue of obesity in this definition. This study was conducted to determine a preferably better index of obesity which can be interrelated with other components of MetS in a single factor model of MetS.
Out of 6140 participants of a cohort study of subjects aged 10-90 years in northern Iran, the baseline data of 5616 participants aged 18-75 was considered. Confirmatory factor analysis was conducted using AMOS software to evaluate a single factor model of MetS in which blood pressure, triglyceride (TG), high density lipoprotein (HDL), fasting blood sugar (FBS) and obesity measures including waist circumference (WC), body mass index (BMI), waist to hip ratio (WHR) and waist to height ratio (WHtR) were used as indicators of metabolic syndrome. Four single factor models differing from each other by obesity indices were evaluated. The models were evaluated in all 5616 subjects and 4931 subjects without diabetes mellitus according to sex separately.
All single factor models had appropriate fit indices with CFI > 0.95, GFI > 0.95 and RMSEA < 0.08 in non-diabetic population, wherein all models obtained the best values of fit indices in men and good fit indices in women. In the general population of men, the single factor models built based on WHR (Chi-square=6.9, df=2, P-value=0.031, RMSEA = 0.028, CI = 0.007-0.052, CFI = 0.994, GFI = 0.999 and AIC = 22.9) and WHtR (Chi-square = 9.97, df = 2, P-value = 0.007, RMSEA = 0.036, CI = 0.016-0.059, CFI = 0.992, GFI = 0.998 and AIC = 25.97) were fitted properly with data while in th general population of women, the model based on WHR obtained better fit indices (Chi-square = 7.5, df = 2, P-value = 0.023, RMSEA = 0.033, CI = 0.011-0.060, CFI = 0.994, GFI = 0.998 and AIC = 23.5). Models based on WHtR obtained better regression weights than WHR.
While single factor validity of MetS was confirmed in almost all models, the best models were different according to sex and population of study.
尽管代谢综合征（MetS）是全球主要的健康问题，但其定义尚无普遍共识。主要分歧之一在于该定义中肥胖问题的处理。本研究旨在确定一个更优的肥胖指标，该指标在代谢综合征的单因素模型中可与代谢综合征的其他组分相关联。
在伊朗北部一项针对10 - 90岁人群的队列研究的6140名参与者中，选取了5616名18 - 75岁参与者的基线数据。使用AMOS软件进行验证性因子分析，以评估代谢综合征的单因素模型，其中血压、甘油三酯（TG）、高密度脂蛋白（HDL）、空腹血糖（FBS）以及包括腰围（WC）、体重指数（BMI）、腰臀比（WHR）和腰高比（WHtR）在内的肥胖指标被用作代谢综合征的指标。评估了四个因肥胖指标不同而相互差异的单因素模型。这些模型分别在所有5616名受试者以及4931名无糖尿病的受试者中按性别进行评估。
在非糖尿病人群中，所有单因素模型均具有合适的拟合指标，CFI > 0.95、GFI > 0.95且RMSEA < 0.08，其中所有模型在男性中获得了最佳拟合指标值，在女性中获得了良好的拟合指标。在男性总体人群中，基于腰臀比构建的单因素模型（卡方 = 6.9，自由度 = 2，P值 = 0.031，RMSEA = 0.028，CI = 0.007 - 0.052，CFI = 0.994，GFI = 0.999，AIC = 22.9）和基于腰高比构建的单因素模型（卡方 = 9.97，自由度 = 2，P值 = 0.007，RMSEA = 0.036，CI = 0.016 - 0.059，CFI = 0.992，GFI = 0.998，AIC = 25.97）与数据拟合良好，而在女性总体人群中，基于腰臀比的模型获得了更好的拟合指标（卡方 = 7.5，自由度 = 2，P值 = 0.023，RMSEA = 0.033，CI = 0.011 - 0.060，CFI = 0.994，GFI = 0.998，AIC = 23.5）。基于腰高比的模型比基于腰臀比的模型获得了更好的回归权重。
虽然几乎所有模型都证实了代谢综合征的单因素有效性，但最佳模型因性别和研究人群而异。
Zotero 插件