Association between two novel anthropometric measures and type 2 diabetes in a Chinese population

医学 体质指数 四分位数 危险系数 混淆 人口学 置信区间 婚姻状况 人体测量学 比例危险模型 2型糖尿病 糖尿病 2型糖尿病 人口 内科学 流行病学 环境卫生 内分泌学 社会学
作者
Di Wang,Ziting Chen,Yinru Wu,Jiaojiao Ren,Dong Shen,Guifang Hu,Chen Mao
出处
期刊:Diabetes, Obesity and Metabolism [Wiley]
卷期号:26 (8): 3238-3247 被引量:32
标识
DOI:10.1111/dom.15651
摘要

Abstract Aims To investigate the associations of conicity index (C‐index) and relative fat mass (RFM) with incident type 2 diabetes mellitus (T2DM) among adults in China. Materials and Methods A total of 10 813 participants aged over 18 years in Shenzhen Longhua district were enrolled in a follow‐up study conducted from 2018 to 2022. The participants were categorized based on quartiles (Q) of C‐index and RFM. The Cox proportional hazards model was performed to examine the relationships between C‐index, RFM and the risk of T2DM. Results After adjusting for potential confounding factors, including age, sex, occupation, marital status, education level, smoking status, alcohol consumption, physical exercise, hypertension status, fasting blood glucose (FBG) and total cholesterol (TC), both C‐index and RFM showed positive and independent associations with risk of T2DM. The multivariable‐adjusted hazard ratios (95% confidence intervals) for T2DM risk in participants in C‐index Q3 and Q4 compared with those in C‐index Q1 were 1.50 (1.12, 2.02) and 1.73 (1.29, 2.30), and 1.94 (1.44, 2.63), 3.18 (1.79, 5.64), 4.91 (2.68, 9.00) for participants in RFM Q2, Q3 and Q4 compared with RFM Q1. These differences were statistically significant (all p < 0.05). Conclusion C‐index and RFM are strongly associated with new‐onset T2DM and could be used to identify the risk of diabetes in large‐scale epidemiological studies.
最长约 10秒,即可获得该文献文件

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
脆脆小甜椒完成签到,获得积分10
刚刚
小超完成签到,获得积分10
刚刚
噜噜噜完成签到,获得积分10
刚刚
null应助HangYin采纳,获得10
刚刚
XCL完成签到,获得积分10
1秒前
糊涂的中恶完成签到,获得积分10
1秒前
祁忆完成签到,获得积分10
1秒前
唐亮发布了新的文献求助10
1秒前
3秒前
深情安青应助qianqian采纳,获得10
3秒前
3秒前
SciGPT应助云山采纳,获得10
3秒前
3秒前
科研狗完成签到,获得积分20
4秒前
wanci应助fcyyc采纳,获得10
4秒前
4秒前
是的发布了新的文献求助10
4秒前
Naomi完成签到,获得积分20
4秒前
大泓淇完成签到,获得积分10
4秒前
Cloudy355发布了新的文献求助10
4秒前
5秒前
5秒前
5秒前
上官若男应助fengdengjin采纳,获得10
5秒前
AN关注了科研通微信公众号
6秒前
pp发布了新的文献求助10
6秒前
漂亮的保温杯完成签到,获得积分20
6秒前
打打应助猴子大王666采纳,获得10
6秒前
6秒前
huang发布了新的文献求助10
7秒前
顾矜应助糖果采纳,获得10
7秒前
斯文败类应助licheng采纳,获得10
7秒前
xm完成签到,获得积分10
8秒前
Jade发布了新的文献求助10
8秒前
8秒前
木叶发布了新的文献求助10
8秒前
ll发布了新的文献求助10
8秒前
八爷啦啦啦完成签到,获得积分10
8秒前
9秒前
xy2003发布了新的文献求助10
9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
The anomeric effect 1314
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7734732
求助须知:如何正确求助?哪些是违规求助? 9285038
关于积分的说明 20168542
捐赠科研通 7312683
什么是DOI,文献DOI怎么找? 3304743
关于科研通互助平台的介绍 2457334
邀请新用户注册赠送积分活动 2314084