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
无私绿兰完成签到,获得积分10
刚刚
AllenZ发布了新的文献求助10
刚刚
Garnieta完成签到,获得积分10
1秒前
Chebyshev完成签到,获得积分10
2秒前
不安水蓝完成签到 ,获得积分10
2秒前
自信书包发布了新的文献求助10
3秒前
蓝色牛马发布了新的文献求助10
4秒前
爆米花应助温暖砖头采纳,获得10
5秒前
清冷渊完成签到 ,获得积分10
7秒前
7秒前
斯文败类应助落后雁菱采纳,获得10
9秒前
lidianji122完成签到,获得积分10
9秒前
9秒前
10秒前
Jasper应助yh采纳,获得10
11秒前
14秒前
调皮秋完成签到,获得积分10
14秒前
眼睛大樱桃完成签到,获得积分10
15秒前
16秒前
16秒前
自由灵安发布了新的文献求助10
16秒前
赵李锋发布了新的文献求助10
17秒前
落霞完成签到,获得积分10
17秒前
Copyright应助zgw采纳,获得10
18秒前
小美发布了新的文献求助10
19秒前
yh完成签到,获得积分10
20秒前
fearless完成签到,获得积分10
20秒前
干净紫蓝完成签到,获得积分10
21秒前
王焕玉发布了新的文献求助10
22秒前
23秒前
Kao应助太清采纳,获得10
24秒前
24秒前
noob发布了新的文献求助10
25秒前
茉莉花素应助减简采纳,获得10
26秒前
123应助减简采纳,获得10
26秒前
Copyright应助减简采纳,获得10
26秒前
嘻嘻哈哈应助减简采纳,获得10
26秒前
脑洞疼应助外向铃铛采纳,获得10
27秒前
自由灵安完成签到,获得积分20
30秒前
平常寒烟发布了新的文献求助10
30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
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Introducing the Learning Sciences 600
Resiliency Scale for Adolescents--Chinese Version 600
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 7321581
求助须知:如何正确求助?哪些是违规求助? 8937133
关于积分的说明 18947365
捐赠科研通 6979627
什么是DOI,文献DOI怎么找? 3214778
关于科研通互助平台的介绍 2382407
邀请新用户注册赠送积分活动 2194050