Global disease burden of COPD from 1990 to 2019 and prediction of future disease burden trend in China

慢性阻塞性肺病 医学 入射(几何) 疾病负担 疾病负担 疾病 中国 环境卫生 人口学 潜在生命损失数年 预期寿命 内科学 人口 地理 物理 考古 社会学 光学
作者
Wan Hu,Liwen Fang,H Zhang,Raj Ni,Guangdong Pan
出处
期刊:Public Health [Elsevier BV]
卷期号:208: 89-97 被引量:46
标识
DOI:10.1016/j.puhe.2022.04.015
摘要

This study aimed to assess and predict the disease burden attributable to chronic obstructive pulmonary disease (COPD) in a timely, comprehensive, and reliable manner, thereby mitigating the health hazards of COPD.Data on the disease burden owing to COPD from 1990 to 2019 were extracted from the Global Burden of Disease (GBD) Study 2019. Linear regression analysis was used to calculate the estimated annual percentage change (EAPC) in the age-standardized rates. Non-parametric tests were used for subgroup analysis. The Bayesian age-period-cohot (BAPC) model integrated nested Laplace approximations to predict the disease burden over the next 25 years. Sensitivity analysis was performed using the Norpred APC model.Globally, the COPD-related age-standardized incidence rate decreased from 216.48/100,000 in 1990 to 200.49/100,000 in 2019, with an EAPC of -0.33. But the number of new cases increased from 8,722,966 in 1990 to 16, 214, 828 in 2019. Trends in prevalence, deaths, and disability-adjusted life years (DALYs) were the same as incidence. There were significant differences in disease burden between the genders and all age groups (P < 0.05) in China. The projections suggested that the COPD-related number of new cases and deaths in China would increase by approximately 1.5 times over the next 25 years.The number of incidence, prevalence, deaths, and DALYs had all increased in China in the past and would continue to grow over the next 25 years. Therefore, measures should be taken to target risk factors and high-risk groups.
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
不入当归完成签到,获得积分10
刚刚
小陈发布了新的文献求助10
1秒前
徐自豪完成签到 ,获得积分10
1秒前
佑hui完成签到,获得积分10
1秒前
靓丽访文完成签到,获得积分10
1秒前
小别给小别的求助进行了留言
2秒前
DT完成签到,获得积分10
3秒前
lyy发布了新的文献求助10
3秒前
大胆的向卉完成签到,获得积分10
4秒前
顾矜应助liao采纳,获得10
4秒前
不良人完成签到,获得积分10
4秒前
LL发布了新的文献求助10
4秒前
大魔王完成签到,获得积分10
5秒前
仔仔完成签到,获得积分10
5秒前
清脆的秋柔完成签到 ,获得积分10
5秒前
lmei完成签到 ,获得积分10
5秒前
6秒前
游云发布了新的文献求助10
7秒前
JamesPei应助姜姜采纳,获得10
7秒前
7秒前
大魔王发布了新的文献求助10
7秒前
8秒前
鸡腿战神完成签到,获得积分10
8秒前
8秒前
我是老大应助Wangyn采纳,获得10
8秒前
8秒前
充电宝应助科研通管家采纳,获得10
8秒前
8秒前
传统的襄发布了新的文献求助10
8秒前
ding应助科研通管家采纳,获得10
8秒前
LL发布了新的文献求助10
8秒前
cdercder应助科研通管家采纳,获得10
8秒前
带线一去不回完成签到,获得积分10
8秒前
爆米花应助科研通管家采纳,获得10
8秒前
YWY应助科研通管家采纳,获得10
8秒前
ding应助科研通管家采纳,获得10
9秒前
Orange应助科研通管家采纳,获得10
9秒前
Joy完成签到 ,获得积分10
9秒前
华仔应助科研通管家采纳,获得10
9秒前
爆米花应助科研通管家采纳,获得10
9秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 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
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 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 7248201
求助须知:如何正确求助?哪些是违规求助? 8871125
关于积分的说明 18715896
捐赠科研通 6927246
什么是DOI,文献DOI怎么找? 3198181
关于科研通互助平台的介绍 2373861
邀请新用户注册赠送积分活动 2173014