亲爱的研友该休息了!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!身体可是革命的本钱,早点休息,好梦!

Body adiposity index and other indexes of body composition in predicting cardiovascular disease in the Chinese population: A Cohort study

医学 体质指数 腰高比 腰围 肥胖 内科学 人口 逻辑回归 人口学 队列 环境卫生 社会学
作者
Wen-Shu Luo,Yi Ding,Zhening Guo
出处
期刊:Perfusion [SAGE Publishing]
卷期号:40 (6): 1397-1404 被引量:1
标识
DOI:10.1177/02676591241300973
摘要

Objective The purpose of this study was to compare the ability of four obesity indicators, including waist circumference (WC), body mass index (BMI), body adiposity index (BAI), and waist-to-height ratio (WHtR) on prediction for incident cardiovascular disease (CVD) in Chinese Han population. Methods We analyzed data from a prospective population cohort of 3598 participants aged 35 to 74 years from Jiangsu China. The logistic regression model was used to analyze the association between four obesity indicators and CVD risk. The ROC curve was used to assess and compare the diagnostic performance of four obesity indicators. Results During 8 years (median 6.3 years) of follow-up time, 82 CVD endpoints were collected during follow up (36 men and 46 women). After adjustment for age, smoking status, alcohol consumption and family history of CVD, in men, WC, BMI, and BAI were associated with triglycerides (TG), high-density lipoprotein cholesterol (HDL-C) and hypertension. In women, WC, BMI and WHtR were associated with TG, HDL-C, hyperglycemia and hypertension, BAI was only associated with HDL-C, hyperglycemia, and hypertension. ROC curve analysis indicated that BAI have the highest area under the curve to identify CVD, and BMI has the lowest area under the curve to identify CVD in Chinese males. WHtR has the highest area under the curve to identify CVD, and BMI has the lowest area under the curve to identify CVD in Chinese females. Conclusions CVD risk was more consistently correlated with BAI in Chinese men and more consistently correlated with WHtR and WC in Chinese women.
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
LHC888完成签到,获得积分10
15秒前
Orange应助木子采纳,获得10
17秒前
Crw__发布了新的文献求助10
23秒前
SciGPT应助小太阳采纳,获得10
27秒前
顺利的蚂蚁完成签到,获得积分10
28秒前
qcy72完成签到,获得积分10
31秒前
乐乐应助拼搏姒采纳,获得10
36秒前
科研通AI6.2应助蛮21采纳,获得10
38秒前
外向的妍完成签到,获得积分10
40秒前
46秒前
小太阳完成签到,获得积分10
47秒前
Moonpie应助duxinyue采纳,获得10
51秒前
大个应助Prof.Z采纳,获得10
51秒前
56秒前
酷波er应助科研通管家采纳,获得10
56秒前
1分钟前
1分钟前
拼搏姒发布了新的文献求助10
1分钟前
astg发布了新的文献求助10
1分钟前
Thanks完成签到 ,获得积分10
1分钟前
1分钟前
田様应助Prof.Z采纳,获得10
1分钟前
快乐含蕾发布了新的文献求助10
1分钟前
小马完成签到,获得积分10
1分钟前
1分钟前
caca完成签到,获得积分0
2分钟前
共享精神应助Prof.Z采纳,获得10
2分钟前
lezbj99完成签到,获得积分10
2分钟前
xingsixs完成签到 ,获得积分10
2分钟前
111完成签到,获得积分10
2分钟前
meixinhu完成签到,获得积分10
2分钟前
2分钟前
3分钟前
3分钟前
3分钟前
第八维发布了新的文献求助10
3分钟前
ccc发布了新的文献求助10
3分钟前
小蘑菇应助ccc采纳,获得10
3分钟前
3分钟前
1111发布了新的文献求助10
3分钟前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 6471930
求助须知:如何正确求助?哪些是违规求助? 8275933
关于积分的说明 17646185
捐赠科研通 5550704
什么是DOI,文献DOI怎么找? 2909374
邀请新用户注册赠送积分活动 1886159
关于科研通互助平台的介绍 1737057