Rapid increasing burden of diabetes and cardiovascular disease caused by high body mass index in 1.25 million Chinese adults, 2005–2018

医学 体质指数 糖尿病 索引(排版) 疾病 老年学 内科学 内分泌学 计算机科学 万维网
作者
Yixin Tian,Zhenping Zhao,Xue Cao,Yuting Kang,Limin Wang,Peng Yin,Yuxin Song,Linfeng Zhang,Xin Wang,Zuo Chen,Congyi Zheng,Mingbo Liu,Yuehui Fang,Mei Zhang,Yuna He,Zhen Hu,Jiayin Cai,Runqing Gu,Yilin Huang,Xuyan Pei
出处
期刊:Med [Elsevier BV]
卷期号:4 (8): 505-525.e3 被引量:3
标识
DOI:10.1016/j.medj.2023.05.008
摘要

Background Temporal trends and geographical variations in disease burden for diabetes mellitus (DM) and cardiovascular disease (CVD) attributable to high body mass index (BMI) in China have not been fully elucidated. Methods We estimated deaths and years of life lost (YLLs) for DM and CVD attributable to high BMI by age, sex, year, and region from 2005 to 2018 based on pooled data of 1.25 million adults. Findings Approximately 497,430 (95% uncertainty interval [UI], 470,520–525,720) deaths for DM and CVD were attributable to high BMI in China in 2018, with 453,750 deaths from CVD and 43,700 deaths from DM. Between 2005 and 2018, there was a 17.35% increase in age-standardized mortality rate for DM and CVD attributable to high BMI. The high BMI-related DM and CVD YLL rates increased from 127.46 (95% UI 108.70–148.62) per 100,000 people aged 20–24 years to 5,735.54 (95% UI 4,844.16–6,713.53) per 100,000 people aged ≥80 years, respectively. The highest age-standardized mortality rate for high BMI-related DM and CVD in northeast, northwest, and circum-Bohai Sea regions of China. Conclusion The disease burden for DM and CVD attributable to high BMI increased substantially between 2005 and 2018. Urgent measures are required at both national and regional levels for resource mobilization to slow the growing burden. Funding The work was supported by the National Key Research and Development Program of China, China National Science & Technology Pillar Program, and National Health Commission of the People’s Republic of China.
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
李爱国应助书俭采纳,获得100
刚刚
风华正茂发布了新的文献求助10
2秒前
伍小颖酱完成签到,获得积分10
2秒前
Solitude_Z完成签到,获得积分10
2秒前
小伊001完成签到,获得积分10
3秒前
5秒前
6秒前
7秒前
8秒前
eagle完成签到,获得积分20
8秒前
清若静发布了新的文献求助50
9秒前
123发布了新的文献求助10
9秒前
乐乐应助卢鹏印采纳,获得10
10秒前
Jasper应助fenghuo采纳,获得10
11秒前
科研通AI5应助fenghuo采纳,获得10
11秒前
dingzj0828完成签到,获得积分10
11秒前
hahhh7完成签到,获得积分10
13秒前
14秒前
14秒前
Ventus发布了新的文献求助80
14秒前
dingzj0828发布了新的文献求助10
14秒前
娇娇大王完成签到,获得积分10
18秒前
明理的亦寒完成签到,获得积分10
18秒前
卷卷发布了新的文献求助30
19秒前
19秒前
20秒前
桐桐应助JJy采纳,获得30
21秒前
恒河猴完成签到,获得积分10
21秒前
21秒前
22秒前
23秒前
刻苦鼠标发布了新的文献求助10
24秒前
筱筱发布了新的文献求助10
25秒前
卢鹏印发布了新的文献求助10
26秒前
26秒前
1eegl发布了新的文献求助10
26秒前
hua发布了新的文献求助10
26秒前
27秒前
27秒前
小蘑菇应助sun采纳,获得10
27秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3738248
求助须知:如何正确求助?哪些是违规求助? 3281724
关于积分的说明 10026477
捐赠科研通 2998622
什么是DOI,文献DOI怎么找? 1645291
邀请新用户注册赠送积分活动 782740
科研通“疑难数据库(出版商)”最低求助积分说明 749891