首页> 外文期刊>European review for medical and pharmacological sciences. >Metabolic syndrome is a risk factor for nonalcoholic fatty liver disease: evidence from a confirmatory factor analysis and structural equation modeling
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Metabolic syndrome is a risk factor for nonalcoholic fatty liver disease: evidence from a confirmatory factor analysis and structural equation modeling

机译:代谢综合征是非酒精性脂肪肝疾病的危险因素:验证性因素分析和结构方程模型的证据

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OBJECTIVE: It has been demonstrated that nonalcoholic fatty liver disease (NAFLD) is associated with metabolic syndrome (MS). This study used confirmatory factor analysis (CFA) and structural equation modeling (SEM) to characterize the relationship between MS and NAFLD. PATIENTS AND METHODS: A cross-sectional study was performed on 3440 NAFLD patients. Of the 3440 subjects, 1160 were diagnosed with MS. BMI, SBP, DBP, UN, Scr, UA, FPG, Fructosamine, TC, TG, lipoprotein alpha, HDL-C, LDL-C, ALT, AST, TP, albumin, globulins, TB, DB, ALP and GGT were measured. CFA was used to identify a latent structure of NAFLD and MS, respectively. SEM approach was used to analyze the latent relationship between MS and NAFLD. RESULTS: Second-order CFA revealed that the observed variables for NAFLD could be loaded onto seven latent factors, which were further loaded together onto an unobserved NAFLD factor. CFA of MS showed that overweight, hyperglycemia, dyslipidemia, and hypertension clustered together under a single latent factor of MS. In both MS and NAFLD models, hypertension showed higher factor loading than other factors. Factor models of MS and NAFLD showed a good fit to the data. As a latent factor, MS was significantly associated with increased risk of NAFLD. CONCLUSIONS: MS may be a risk factor of NAFLD. MS and its components may play important roles in the development of NAFLD.
机译:目的:已经证明非酒精性脂肪肝(NAFLD)与代谢综合征(MS)有关。这项研究使用验证性因子分析(CFA)和结构方程模型(SEM)来表征MS和NAFLD之间的关系。患者与方法:对3440名NAFLD患者进行了横断面研究。在3440名受试者中,有1160名被诊断患有MS。测量BMI,SBP,DBP,UN,Scr,UA,FPG,果糖胺,TC,TG,脂蛋白α,HDL-C,LDL-C,ALT,AST,TP,白蛋白,球蛋白,TB,DB,ALP和GGT 。 CFA分别用于识别NAFLD和MS的潜在结构。 SEM方法被用来分析MS和NAFLD之间的潜在关系。结果:二阶CFA揭示可以将观察到的NAFLD变量加载到七个潜在因子上,然后将其进一步加载到未观察到的NAFLD因子上。 MS的CFA显示,超重,高血糖,血脂异常和高血压在MS的单个潜在因素下聚集在一起。在MS和NAFLD模型中,高血压均显示出高于其他因素的负荷量。 MS和NAFLD的因子模型显示出对数据的良好拟合。作为潜在因素,MS与NAFLD风险增加显着相关。结论:MS可能是NAFLD的危险因素。 MS及其组件可能在NAFLD的发展中起重要作用。

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