非高密度脂蛋白胆固醇作为社区居住成人2型糖尿病事件的预测因子:超过12年的纵向研究结果

In-Ho Seo, Da-Hye Son, H. Lee, Yongjae Lee
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引用次数: 2

摘要

非高密度脂蛋白胆固醇是分析血液中致动脉粥样硬化脂蛋白总量和预测心血管疾病发展的简单措施。然而,目前尚不清楚非高密度脂蛋白胆固醇是否与2型糖尿病的发生有关。本研究旨在评估非高密度脂蛋白胆固醇与2型糖尿病发病率之间的关系,研究对象为大样本、以社区为基础的韩国队列,为期12年。在10038名参与者中,从韩国基因组和流行病学研究(KoGES)中选择了7608名(3662名男性和3946名女性)非糖尿病患者。他们的非高密度脂蛋白胆固醇水平被分成四分位数。在调整潜在的混杂变量后,使用多变量Cox比例风险回归模型计算2型糖尿病发生率的95%置信区间(ci)的风险比(hr)。在12年的随访期间,共有1442人(18.9%:7608人中有1442人)患2型糖尿病,发病率为3.0-5.0。与参考的第一个四分位数相比,在调整了潜在的混杂变量(包括HOMA-IR标记物)后,第二、第三和第四四分位数的2型糖尿病发生率(95% ci)以剂量-反应方式增加。基线的非高密度脂蛋白胆固醇水平可能是未来2型糖尿病的预测指标,即使先前的葡萄糖或胰岛素(HOMA-IR)水平正常。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-HDL cholesterol as a predictor for incident type 2 diabetes in community-dwelling adults: Longitudinal findings over 12 years.
Non-HDL cholesterol is a simple measure to analyze the total amount of proatherogenic lipoproteins in the blood and to predict development of cardiovascular disease. However, it is unclear whether non-HDL cholesterol has a relationship with incident type 2 diabetes. This study aimed to evaluate the association between non-HDL cholesterol and incident type 2 diabetes with a large-sample, community-based Korean cohort over a 12-year period. Among the 10,038 total participants, 7,608 (3,662 men and 3,946 women) without diabetes were selected from the Korean Genome and Epidemiology Study (KoGES). Their non-HDL cholesterol level was divided into quartiles. The hazard ratios (HRs) with 95% confidence intervals (CIs) for incident type 2 diabetes were calculated using multivariate Cox proportional hazards regression models after adjusting for potentially confounding variables. In total, 1,442 individuals (18.9%: 1442 of 7608) developed type 2 diabetes during the 12-year follow up period, with an incident rate of 3.0-5.0. Compared to the reference first quartile, the HRs (95% CIs) of incident type 2 diabetes for the second, third, and fourth quartiles increased in a dose-response manner after adjusting for potentially confounding variables, including the HOMA-IR marker. Non-HDL cholesterol level at baseline could be a future predictor of type 2 diabetes even when prior glucose or insulin (HOMA-IR) levels are normal.
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