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Analysis of risk factors and their interactions in type 2 diabetes mellitus: A cross‐sectional survey in Guilin, China

机译:2型糖尿病的危险因素及其相互作用的分析:中国桂林的横断面调查

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Abstract Aims/IntroductionType 2 diabetes is a metabolic disease characterized by insulin resistance, and is associated with the effects of genetic and environmental factors. The present study aimed to not only analyze the influence of a single factor for type 2 diabetes, but also to investigate the interaction effects between risk factors. Materials and MethodsA total of 6,660 individuals selected by the method of cluster random sampling accepted a cross-sectional survey (questionnaire investigation, physical measurement, laboratory examination and liver ultrasound examination). The classification tree was used to analyze the risk factors and their interactions in type 2 diabetes. The clinical and metabolic characteristics were compared between type 2 diabetes patients and controls, and the non-conditional logistic regression model was used to quantitatively analyze the interactions. ResultsA total of 338 participants were classified as type 2 diabetes (217 men and 121 women), the classification tree model showed three variables with close associations with type 2 diabetes: age, triglycerides (TG) and non-alcoholic fatty liver disease (NAFLD). Type 2 diabetes patients had higher age and incidences of high TG, NAFLD, hypertension, high body mass index, high uric acid, high total cholesterol, high low-density lipoprotein cholesterol and low high-density lipoprotein cholesterol. The multivariate logistic regression analysis showed that the following factors had interactions in type2 diabetes: high TG × advanced age (odds ratio 2.499, 95% confidence interval 1.868–3.344, P = 0.000), NAFLD × advanced age (odds ratio 1.250, 95% confidence interval 1.048–1.491, P = 0.013) and NAFLD × high TG (odds ratio 1.349, 95% confidence interval 1.144–1.590, P = 0.000). ConclusionsThe present study showed that type 2 diabetes resulted from the interactions of many factors; the interactions among age, TG and NAFLD are important risk factors for type 2 diabetes.
机译:摘要目的/简介2型糖尿病是一种以胰岛素抵抗为特征的代谢性疾病,与遗传和环境因素有关。本研究不仅旨在分析单一因素对2型糖尿病的影响,而且旨在研究危险因素之间的相互作用。材料和方法通过整群随机抽样的方法选择的总共6,660名患者接受了横断面调查(问卷调查,体格测量,实验室检查和肝超声检查)。分类树用于分析2型糖尿病的危险因素及其相互作用。比较2型糖尿病患者和对照组的临床和代谢特征,并使用非条件logistic回归模型对相互作用进行定量分析。结果总共338名参与者被分类为2型糖尿病(男性217名,女性121名),分类树模型显示了与2型糖尿病密切相关的三个变量:年龄,甘油三酸酯(TG)和非酒精性脂肪肝疾病(NAFLD) 。 2型糖尿病患者的年龄较高,TG,NAFLD,高血压,高体重指数,高尿酸,高总胆固醇,高低密度脂蛋白胆固醇和低高密度脂蛋白胆固醇的发生率更高。多元logistic回归分析显示,以下因素在2型糖尿病中具有相互作用:高TG×高龄(比值2.499,95%置信区间1.868–3.344,P = 0.000),NAFLD×高龄(比值1.250,95%)置信区间1.048–1.491,P = 0.013)和NAFLD×高TG(赔率1.349,95%置信区间1.144–1.590,P = 0.000)。结论本研究表明2型糖尿病是由多种因素共同作用引起的。年龄,TG和NAFLD之间的相互作用是2型糖尿病的重要危险因素。

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