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Features of the metabolic syndrome predict higher risk of diabetes and impaired glucose tolerance: a prospective study in Mauritius

机译:代谢综合征的特征预示着糖尿病和糖耐量受损的风险增加:毛里求斯的一项前瞻性研究

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摘要

OBJECTIVE: To assess the independent and joint effects of the components of the metabolic syndrome, including leptin, which is a recently proposed addition to this syndrome, in predicting the cumulative incidence of impaired glucose tolerance (IGT) and diabetes among individuals with normal glucose tolerance. RESEARCH DESIGN AND METHODS: This prospective study involved 2,605 residents of Mauritius with normal glucose tolerance who were followed for 5 years for IGT or diabetes onset in relation to total and regional adiposity (BMI, waist-to-hip ratio [WHR]), fasting and 2-h 75-g oral glucose load glucose and insulin, total and HDL cholesterol, blood pressure, serum uric acid, triglyceride, and leptin levels. RESULTS: A multivariate logistic regression model adjusted for age, sex, ethnicity, and diabetes family history showed a significantly higher linear increase in risk of IGT and diabetes in association with the following variables only: fasting glucose (odds ratio 1.89 [95% CI 1.51-2.34]), 2-h glucose (1.68 [1.50-1.88]), WHR (1.30 [1.10-1.52]), BMI (1.04 [1.00-1.08]), and serum uric acid (1.37 [1.20-1.57]). However, a nonlinear increase was seen with serum triglyceride and plasma leptin concentrations. No risk factors resulted in joint effects that were greater than expected from combining individual effects. CONCLUSIONS: Metabolic syndrome features independently predict a higher risk of diabetes or IGT in normoglycemic subjects but in combination confer no higher-than-expected risk of these outcomes. At higher concentrations of triglycerides and leptin, risk plateaus and even declines slightly.
机译:目的:评估代谢综合征(包括瘦素)各成分的独立和联合作用,这是该综合征最近提出的补充,用于预测糖耐量正常的个体的糖耐量异常(IGT)和糖尿病的累积发生率。研究设计和方法:这项前瞻性研究涉及2605名毛里求斯居民,其糖耐量正常,根据总和区域性肥胖(BMI,腰臀比[WHR]),禁食情况对IGT或糖尿病发作进行了5年随访。 75克口服葡萄糖2小时,葡萄糖和胰岛素,总胆固醇和高密度脂蛋白胆固醇,血压,血清尿酸,甘油三酸酯和瘦素水平。结果:针对年龄,性别,种族和糖尿病家族史进行调整的多元logistic回归模型显示,IGT和糖尿病风险的线性增加显着更高,仅与以下变量相关:空腹血糖(优势比1.89 [95%CI 1.51 -2.34],2-h葡萄糖(1.68 [1.50-1.88]),WHR(1.30 [1.10-1.52]),BMI(1.04 [1.00-1.08])和血清尿酸(1.37 [1.20-1.57]) 。但是,血清甘油三酸酯和血浆瘦素浓度呈非线性增加。没有风险因素会导致联合效应大于联合个体效应所预期的效应。结论:代谢综合征的特征独立地预测了正常血糖受试者中较高的糖尿病或IGT风险,但合起来并没有带来高于预期的风险。甘油三酸酯和瘦素的浓度较高时,有高原风险,甚至略有下降。

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