Joint Association of Metabolic Health and Obesity with Ten-Year Risk of Cardiovascular Disease among Chinese Adults.

肥胖 体质指数 医学 优势比 内科学 置信区间 逻辑回归 疾病 风险因素 横断面研究 代谢综合征 内分泌学 病理
作者
Jun Ting Liu,Hong Yao,Shi Cheng Yu,Jianjun Liu,Guang Jin Zhu,Shao Mei Han,Tao Xu
出处
期刊:PubMed 卷期号:35 (1): 13-21 被引量:10
标识
DOI:10.3967/bes2022.003
摘要

This study aims to investigate the association of metabolic phenotypes that are jointly determined by body mass index (BMI) or fat mass percentage and metabolic health status with the ten-year risk of cardiovascular disease (CVD) among Chinese adults.Data were obtained from a cross-sectional study. BMI and body fat mass percentage (FMP) combined with the metabolic status were used to define metabolic phenotypes. Multiple linear regression and logistic regression were used to examine the effects of metabolic phenotypes on CVD risk.A total of 13,239 adults aged 34-75 years were included in this study. Compared with the metabolically healthy non-obese (MHNO) phenotype, the metabolically unhealthy non-obese (MUNO) and metabolically unhealthy obese (MUO) phenotypes defined by BMI showed a higher CVD risk [odds ratio, OR (95% confidence interval, CI): 2.34 (1.89-2.89), 3.45 (2.50-4.75), respectively], after adjusting for the covariates. The MUNO and MUO phenotypes defined by FMP showed a higher CVD risk [ OR (95% CI): 2.31 (1.85-2.88), 2.63 (1.98-3.48), respectively] than the MHNO phenotype. The metabolically healthy obese phenotype, regardless of being defined by BMI or FMP, showed no CVD risk compared with the MHNO phenotype.General obesity without central obesity does not increase CVD risk in metabolically healthy individuals. FMP might be a more meaningful factor for the evaluation of the association of obesity with CVD risk. Obesity and metabolic status have a synergistic effect on CVD risk.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
苏苏发布了新的文献求助10
1秒前
1秒前
2秒前
小叙发布了新的文献求助10
2秒前
2秒前
科目三应助Rangi采纳,获得10
3秒前
4秒前
桃子发布了新的文献求助10
5秒前
chen发布了新的文献求助10
5秒前
北北北发布了新的文献求助10
5秒前
6秒前
你好CDY完成签到,获得积分10
6秒前
得补VC完成签到,获得积分10
7秒前
凸凸完成签到,获得积分10
7秒前
7秒前
7秒前
科目三应助熠熠生辉采纳,获得10
7秒前
科研通AI6应助dd采纳,获得10
8秒前
orixero应助糖不甜采纳,获得10
8秒前
起床做核酸完成签到,获得积分10
9秒前
9秒前
10秒前
甜菜发布了新的文献求助10
11秒前
NexusExplorer应助amy采纳,获得10
11秒前
11秒前
舒服的鱼完成签到,获得积分10
11秒前
H_C完成签到,获得积分10
12秒前
Robin发布了新的文献求助30
12秒前
鹅鹅完成签到 ,获得积分10
12秒前
泠泠月上完成签到,获得积分10
12秒前
12秒前
yao发布了新的文献求助10
13秒前
6666发布了新的文献求助100
13秒前
小呆呆发布了新的文献求助10
14秒前
无限水杯发布了新的文献求助30
15秒前
夏侯乐枫发布了新的文献求助10
15秒前
15秒前
在水一方应助chen采纳,获得10
15秒前
16秒前
负责的凝丹完成签到,获得积分10
16秒前
高分求助中
Aerospace Standards Index - 2025 10000
(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
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 1000
Teaching Language in Context (Third Edition) 1000
Identifying dimensions of interest to support learning in disengaged students: the MINE project 1000
Introduction to Early Childhood Education 1000
List of 1,091 Public Pension Profiles by Region 941
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5442411
求助须知:如何正确求助?哪些是违规求助? 4552693
关于积分的说明 14237826
捐赠科研通 4473934
什么是DOI,文献DOI怎么找? 2451764
邀请新用户注册赠送积分活动 1442609
关于科研通互助平台的介绍 1418551