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代谢综合征是非酒精性脂肪性肝病的一个危险因素:来自验证性因子分析和结构方程模型的证据。

Metabolic syndrome is a risk factor for nonalcoholic fatty liver disease: evidence from a confirmatory factor analysis and structural equation modeling.

作者信息

Shi F-Y, Gao W-F, Tao E-X, Liu H-Q, Wang S-Z

机构信息

Department of Health Statistics, School of Public Health, Weifang Medical College, Weifang, Shandong, China.

出版信息

Eur Rev Med Pharmacol Sci. 2016 Oct;20(20):4313-4321.

PMID:27831641
Abstract

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.

摘要

目的

已有研究表明,非酒精性脂肪性肝病(NAFLD)与代谢综合征(MS)相关。本研究采用验证性因子分析(CFA)和结构方程模型(SEM)来描述MS与NAFLD之间的关系。

患者与方法

对3440例NAFLD患者进行了横断面研究。在这3440名受试者中,1160例被诊断为MS。测量了体重指数(BMI)、收缩压(SBP)、舒张压(DBP)、尿素氮(UN)、血肌酐(Scr)、尿酸(UA)、空腹血糖(FPG)、果糖胺、总胆固醇(TC)、甘油三酯(TG)、脂蛋白α、高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)、谷丙转氨酶(ALT)、谷草转氨酶(AST)、总蛋白(TP)、白蛋白、球蛋白、总胆红素(TB)、直接胆红素(DB)、碱性磷酸酶(ALP)和γ-谷氨酰转肽酶(GGT)。分别使用CFA来识别NAFLD和MS的潜在结构。采用SEM方法分析MS与NAFLD之间的潜在关系。

结果

二阶CFA显示,NAFLD的观测变量可加载到七个潜在因子上,这些潜在因子又进一步共同加载到一个未观测到的NAFLD因子上。MS的CFA显示,超重、高血糖、血脂异常和高血压聚集在MS的一个单一潜在因子下。在MS和NAFLD模型中,高血压的因子载荷均高于其他因子。MS和NAFLD的因子模型与数据拟合良好。作为一个潜在因子,MS与NAFLD风险增加显著相关。

结论

MS可能是NAFLD的一个危险因素。MS及其组分可能在NAFLD的发生发展中起重要作用。

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