已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Waist-to-hip ratio better reflect beta-cell function and predicts diabetes risk in adult with overweight or obesity

超重 医学 肥胖 糖尿病 腰臀比 2型糖尿病 内科学 BETA(编程语言) 腰围 内分泌学 体质指数 计算机科学 程序设计语言
作者
Na Liu,Bian Wang,Guanxiong Zhang,Minxue Shen,Cheng Peng,Zhanjun Guo,L. Zuo,Junya Yang,Min Guo,Min Wang,Zhen-Qi Liu,Jing Wu
出处
期刊:Annals of Medicine [Informa]
卷期号:57 (1)
标识
DOI:10.1080/07853890.2025.2462447
摘要

Controversy remains as to which obesity measures better predict type 2 diabetes (T2D) risk in overweight or obese individuals. The objective of this study is to determine which commonly used obesity measures better reflect beta cell function and predict T2D risk in participants with overweight or obesity and to validate the findings using prospective cohort data. Cross-sectional data from the Obesity Clinic of the Xiangya Hospital of the Central South University and prospective cohort from UK Biobank. BMI, waist circumference (WC), waist-to-hip ratio (WHpR), and waist-to-height ratio (WHtR) were measured. Primary outcomes included beta cell function indices in the cross-sectional study and the occurrence of diabetes obtained from UK Biobank data. One thousand four hundred and ninety-seven participants with overweight or obesity (median age 29 years, 41% males) and 322,023 UK Biobank participants without diabetes at baseline (mean age 56.83 years, 50.4% males) were studied. WHpR had a stronger association with beta cell function and central body fat distribution than the other three obesity measures irrespective of glucometabolic states. WHpR associated positively with diabetes risk in participants using the hazard ratio scale (HR per SD increase of WHpR, 2.311, 95% CI 2.250-2.374). WHpR is a superior index in reflecting central body obesity, estimating beta cell function, and predicting T2D risk in people with overweight or obesity compared to BMI, WC, and WHtR.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Eternal芾夏完成签到,获得积分10
刚刚
完美世界应助史灵竹采纳,获得10
1秒前
橡皮鱼完成签到,获得积分10
1秒前
粽子完成签到,获得积分10
2秒前
3秒前
3秒前
ding应助缪伟采纳,获得10
4秒前
顾矜应助科研通管家采纳,获得10
6秒前
6秒前
6秒前
情怀应助科研通管家采纳,获得10
6秒前
科研通AI2S应助科研通管家采纳,获得10
6秒前
bkagyin应助科研通管家采纳,获得10
6秒前
田様应助科研通管家采纳,获得10
6秒前
丘比特应助科研通管家采纳,获得30
6秒前
小恐龙在外太空睡觉完成签到 ,获得积分10
8秒前
8秒前
Bob发布了新的文献求助20
8秒前
fighting发布了新的文献求助10
9秒前
11秒前
catank完成签到,获得积分10
11秒前
ccc发布了新的文献求助10
12秒前
Judy完成签到 ,获得积分10
12秒前
土匪完成签到,获得积分10
13秒前
小小牛马应助djbj2022采纳,获得10
14秒前
16秒前
科研通AI6.3应助受伤觅柔采纳,获得10
16秒前
缪伟发布了新的文献求助10
17秒前
18秒前
fighting完成签到,获得积分10
19秒前
20秒前
20秒前
无花果应助qurio采纳,获得10
20秒前
21秒前
shi发布了新的文献求助10
21秒前
科研通AI6.1应助y234j788采纳,获得10
22秒前
lysenko完成签到 ,获得积分10
22秒前
lili发布了新的文献求助10
22秒前
24秒前
张张张xxx发布了新的文献求助10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6371436
求助须知:如何正确求助?哪些是违规求助? 8185123
关于积分的说明 17270747
捐赠科研通 5425820
什么是DOI,文献DOI怎么找? 2870504
邀请新用户注册赠送积分活动 1847414
关于科研通互助平台的介绍 1694018