Suppr超能文献

在弗明汉姆研究的当代人群中,使用肥胖年数估算2型糖尿病风险。

Estimating the risk of type-2 diabetes using obese-years in a contemporary population of the Framingham Study.

作者信息

Abdullah Asnawi, Amin Fauzi Ali, Hanum Farida, Stoelwinder Johannes, Tanamas Stephanie, Wolf Rory, Wong Evelyn, Peeters Anna

机构信息

Faculty of Public Health, University Muhammadiyah Aceh, Banda Aceh, Indonesia.

School of Public Health and Preventive Medicine, Monash University, Clayton, Australia;

出版信息

Glob Health Action. 2016 Jun 30;9:30421. doi: 10.3402/gha.v9.30421. eCollection 2016.

Abstract

BACKGROUND

We have recently demonstrated that an obese-years construct is a better predictor of the risk of diabetes than the severity of body weight alone. However, these risk estimates were derived from a population cohort study initiated in 1948 that might not apply to the current population.

OBJECTIVE

To validate an obese-years construct in estimating the risk of type-2 diabetes in a more contemporary cohort study.

DESIGN

A total of 5,132 participants of the Framingham Offspring Study, initiated in 1972, were followed up for 45 years. Body mass index (BMI) above 29 kg/m(2) was multiplied by the number of years lived with obesity at that BMI to define the number of obese-years. Time-dependent Cox regression was used to explore the association.

RESULTS

The risk of type-2 diabetes increased significantly with increase in obese-years. Adjusted hazard ratios increased by 6% (95% CI: 5-7%) per additional 10 points of obese-years. This ratio was observed to be similar in both men and women, but was 4% higher in current smokers than in never/ex-smokers. The Akaike Information Criterion confirmed that the Cox regression model with the obese-years construct was a stronger predictor of the risk of diabetes than a model including either BMI or the duration of obesity alone.

CONCLUSIONS

In a contemporary cohort population, it was confirmed that the obese-years construct is strongly associated with an increased risk of type-2 diabetes. This suggests that both severity and the duration of obesity should be considered in future estimations of the burden of disease associated with obesity.

摘要

背景

我们最近证明,肥胖年限指标比单纯的体重严重程度更能预测糖尿病风险。然而,这些风险估计值来自于1948年启动的一项人群队列研究,可能不适用于当前人群。

目的

在一项更具当代性的队列研究中验证肥胖年限指标在评估2型糖尿病风险方面的作用。

设计

对1972年启动的弗明汉后代研究中的5132名参与者进行了45年的随访。体重指数(BMI)高于29kg/m²的数值乘以处于该BMI水平的肥胖年数,以确定肥胖年限。采用时间依赖性Cox回归来探究两者之间的关联。

结果

2型糖尿病风险随着肥胖年限的增加而显著升高。每增加10个肥胖年限积分,调整后的风险比增加6%(95%置信区间:5%-7%)。该比例在男性和女性中相似,但当前吸烟者比从不吸烟/已戒烟者高4%。赤池信息准则证实,包含肥胖年限指标的Cox回归模型比仅包含BMI或肥胖持续时间的模型更能有力地预测糖尿病风险。

结论

在当代队列人群中,证实了肥胖年限指标与2型糖尿病风险增加密切相关。这表明在未来评估与肥胖相关的疾病负担时,应同时考虑肥胖的严重程度和持续时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c7b/4930546/1c71e0087b53/GHA-9-30421-g001.jpg

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