Worldwide trends in mortality for hypertensive heart disease from 1990 to 2019 with projection to 2034: data from the Global Burden of Disease 2019 study

医学 人口学 流行病学转变 队列 疾病负担 人口 疾病 死亡率 疾病负担 队列研究 环境卫生 内科学 社会学
作者
Wenlong Lu,Jianhui Yuan,Zeye Liu,Zhanhao Su,Shen Yuchun,Shoujun Li,Hao Zhang
出处
期刊:European Journal of Preventive Cardiology [Oxford University Press]
卷期号:31 (1): 23-37 被引量:47
标识
DOI:10.1093/eurjpc/zwad262
摘要

Abstract Aims This study aims to analyse the worldwide trends in hypertensive heart disease (HHD) mortality and associations with age, period, and birth cohort and predict the future burden of HHD deaths. Methods and results Mortality estimates were obtained from Global Burden of Disease 2019 study. We used age–period–cohort (APC) model to examine the age, period, and cohort effects on HHD mortality between 1990 and 2019. Bayesian APC model was utilized to predict HHD deaths to 2034. The global HHD deaths were 1.16 million in 2019 and were projected to increase to 1.57 million in 2034, with the largest increment in low- and middle-income countries (LMICs). Between 1990 and 2019, middle/high-middle socio-demographic index (SDI) countries had the largest mortality reductions (annual percentage change = −2.06%), whereas low SDI countries saw a lagging performance (annual percentage change = −1.09%). There was a prominent transition in the age distribution of deaths towards old-age population in middle/high-middle SDI countries, while the proportion of premature deaths (aged under 60 years) remained at 24% in low SDI countries in 2019. Amongst LMICs, Brazil, China, and Ethiopia showed typically improving trends both over time and in recent birth cohorts, whereas 63 countries including Indonesia, the Philippines, and Pakistan had unfavourable or worsening risks for recent periods and birth cohorts. Conclusion The HHD death burden in 2019 is vast and is expected to increase rapidly in the next decade, particularly for LMICs. Limited progress in HHD management together with high premature mortality would exact huge human and medical costs in low SDI countries. The examples from Brazil, China, and Ethiopia suggest that efficient health systems with action on improving hypertension care can reduce HHD mortality effectively in LMICs.
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
刚刚
nell发布了新的文献求助10
1秒前
2秒前
大香蕉完成签到,获得积分10
3秒前
思源应助黑夜的冰之歌采纳,获得10
4秒前
乐乐应助我不到啊采纳,获得10
5秒前
mehdi69发布了新的文献求助10
6秒前
冷酷的醉柳完成签到 ,获得积分10
7秒前
nell完成签到,获得积分10
8秒前
8秒前
9秒前
10秒前
10秒前
wj关闭了wj文献求助
10秒前
精明觅荷完成签到,获得积分10
11秒前
bkagyin应助太叔文博采纳,获得10
11秒前
传奇3应助泡泡采纳,获得10
12秒前
fei完成签到,获得积分10
13秒前
张777粒粒发布了新的文献求助10
14秒前
拾三发布了新的文献求助50
15秒前
我不到啊发布了新的文献求助10
15秒前
我是老大应助泷生采纳,获得10
16秒前
RuiXxxxx完成签到,获得积分10
16秒前
16秒前
fei发布了新的文献求助10
17秒前
桐桐应助雪糕采纳,获得10
18秒前
18秒前
852应助cxl采纳,获得10
19秒前
18859805972完成签到 ,获得积分10
20秒前
Jasper应助太叔文博采纳,获得10
20秒前
脑洞疼应助沐雨橙风采纳,获得10
21秒前
蓝山山发布了新的文献求助10
22秒前
自由的M完成签到 ,获得积分10
23秒前
深情安青应助Aurora采纳,获得10
24秒前
25秒前
25秒前
Jrssion完成签到,获得积分10
27秒前
无敌干扰素完成签到,获得积分10
27秒前
FashionBoy应助张777粒粒采纳,获得10
29秒前
泷生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
Autoparametric Resonance in Mechanical Systems 1000
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 500
Auslegungsgeschichte 500
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 7643661
求助须知:如何正确求助?哪些是违规求助? 9216720
关于积分的说明 19773042
捐赠科研通 7209066
什么是DOI,文献DOI怎么找? 3276704
关于科研通互助平台的介绍 2438276
邀请新用户注册赠送积分活动 2274494