Suppr超能文献

内脏脂肪指数在预测 10 年糖尿病风险方面优于常见的人体测量学指数:来自 ATTICA 研究的结果。

Visceral adiposity index outperforms common anthropometric indices in predicting 10-year diabetes risk: Results from the ATTICA study.

机构信息

Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece.

Aston Medical Research Institute, Aston Medical School, Aston University, Birmingham, UK.

出版信息

Diabetes Metab Res Rev. 2019 Sep;35(6):e3161. doi: 10.1002/dmrr.3161. Epub 2019 Apr 23.

Abstract

BACKGROUND

Visceral adiposity index (VAI) is a novel marker of visceral adipose tissue accumulation and dysfunction. The study aim was to explore the association of VAI with the 10-year type 2 diabetes mellitus (T2DM) incidence in apparently healthy individuals and compare its T2DM predictive ability against common anthropometric indices.

METHODS

In 2001 to 2002, the ATTICA study (Greece) recruited a random sample of 1514 and 1528 CVD-free men (18-87 years old) and women (18-89 years old), respectively. Sociodemographic, lifestyle, clinical, and biochemical characteristics of participants were measured at baseline, and the 10-year follow-up was performed during 2011 to 2012. After excluding participants with diabetes at baseline and participants without complete follow-up information regarding diabetes status and/or baseline VAI values, the working sample consisted of 1049 participants. In this sample, the predictive value of baseline VAI value was studied in relation to 10-year diabetes incidence.

RESULTS

One hundred thirty-three incident cases of diabetes were documented (10-year incidence: 12.7%). In the fully adjusted model, VAI significantly increased diabetes risk by 22% (OR per 1-unit increase =1.22; 95%CI, 1.09-1.37). Markers of oxidative stress and inflammation were found to, at least partly, mediate this relationship. Also, a moderating effect of menstruation status was revealed among women. VAI showed the highest predictive ability and contributed the most, along with waist-to-height ratio, to the correct classification of participants who developed diabetes.

CONCLUSIONS

The present findings suggest that VAI may be a useful index for predicting long-term diabetes development and may exhibit better predictive ability to commonly used anthropometric indices.

摘要

背景

内脏脂肪指数(VAI)是一种新的内脏脂肪组织堆积和功能障碍的标志物。本研究旨在探讨 VAI 与健康个体中 10 年 2 型糖尿病(T2DM)发病率的相关性,并比较其对常见人体测量学指标的 T2DM 预测能力。

方法

在 2001 年至 2002 年,ATTICA 研究(希腊)招募了一组无心血管疾病的男性(18-87 岁)和女性(18-89 岁)各 1514 人和 1528 人作为随机样本。在基线时测量参与者的社会人口统计学、生活方式、临床和生化特征,并在 2011 年至 2012 年进行 10 年随访。在排除基线时患有糖尿病的参与者和无完整随访信息的参与者(包括糖尿病状态和/或基线 VAI 值)后,工作样本由 1049 名参与者组成。在该样本中,研究了基线 VAI 值与 10 年糖尿病发病率的关系。

结果

记录到 133 例糖尿病新发病例(10 年发病率:12.7%)。在完全调整的模型中,VAI 使糖尿病风险增加 22%(每增加 1 个单位的 OR=1.22;95%CI,1.09-1.37)。氧化应激和炎症标志物至少部分介导了这种关系。此外,还发现女性的月经状况存在调节作用。VAI 显示出最高的预测能力,与腰围身高比一起,对新诊断为糖尿病的参与者的正确分类贡献最大。

结论

本研究结果表明,VAI 可能是预测长期糖尿病发展的有用指标,并且与常用人体测量学指标相比,可能具有更好的预测能力。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验