Age-period-cohort analysis of pancreatitis epidemiological trends from 1990 to 2019 and forecasts for 2044: a systematic analysis from the Global Burden of Disease Study 2019

流行病学 医学 入射(几何) 队列 代群效应 人口学 队列研究 死亡率 公共卫生 胰腺炎 儿科 外科 内科学 病理 物理 社会学 光学
作者
Wenkai Jiang,Yan Du,Caifei Xiang,Xin Li,Wence Zhou
出处
期刊:Frontiers in Public Health [Frontiers Media]
卷期号:11 被引量:5
标识
DOI:10.3389/fpubh.2023.1118888
摘要

Pancreatitis poses a serious medical problem worldwide. This study aims to explore the epidemiological trends of pancreatitis from 1990 to 2019, analyze the association between disease burden and age, period and birth cohort, and subsequently present a forecast of pancreatitis incidence and deaths.Epidemiologic data were gathered from the Global Health Data Exchange query tool. Joinpoint regression model was used to calculate the average annual percentage changes (AAPCs). Age-period-cohort analysis was utilized to estimate the independent effects of age, period and birth cohort. We also predicted the global epidemiological trends to 2044.Globally, the incident cases and deaths of pancreatitis increased 1.63-and 1.65-fold from 1990 to 2019, respectively. Joinpoint regression analysis showed that the age-standardized incidence rate (ASIR) and age-standardized death rate (ASDR) decreased over the past three decades. The age effect indicates that older people have higher age-specific incidence and death rates. The period effect on incidence and deaths showed downward trends from 1990 to 2019. The cohort effect demonstrated that incidence and death risk peaked in the earlier birth cohort and were lower in the latest birth cohort. Incident cases and deaths of pancreatitis may significantly increase in the next 25 years. The ASIRs were predicted to slightly increase, while the ASDRs were predicted to decrease.Epidemiologic patterns and trends of pancreatitis across age, period and birth cohort may provide novel insight into public health. Limitations of alcohol use and prevention strategies for pancreatitis are necessary to reduce future burden.

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
hjygzv完成签到,获得积分10
刚刚
完美世界应助庾青烟采纳,获得10
1秒前
羽翼发布了新的文献求助10
1秒前
学学学发布了新的文献求助10
2秒前
yan关注了科研通微信公众号
6秒前
6秒前
痛米完成签到 ,获得积分10
8秒前
8秒前
always完成签到 ,获得积分10
8秒前
蘇q完成签到 ,获得积分10
8秒前
8秒前
鹅鹅Namae应助姜老师采纳,获得10
9秒前
10秒前
YHG667完成签到,获得积分20
10秒前
田様应助Da采纳,获得10
11秒前
超级元以完成签到,获得积分10
12秒前
十一发布了新的文献求助10
13秒前
如初发布了新的文献求助10
13秒前
MAOYOULE发布了新的文献求助10
14秒前
舒心十八发布了新的文献求助10
14秒前
Angora完成签到,获得积分10
14秒前
filili发布了新的文献求助10
15秒前
Shaowei完成签到,获得积分10
15秒前
yan发布了新的文献求助10
15秒前
二三发布了新的文献求助10
16秒前
小蘑菇应助fangwei2026采纳,获得10
17秒前
18秒前
饺子完成签到,获得积分10
19秒前
万能图书馆应助filili采纳,获得10
20秒前
o景泰蓝o完成签到 ,获得积分10
23秒前
Da发布了新的文献求助10
24秒前
24秒前
26秒前
27秒前
学学学发布了新的文献求助10
27秒前
852应助白色桔梗采纳,获得10
27秒前
29秒前
二三完成签到,获得积分10
29秒前
29秒前
31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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6354064
求助须知:如何正确求助?哪些是违规求助? 8169043
关于积分的说明 17195797
捐赠科研通 5410209
什么是DOI,文献DOI怎么找? 2863905
邀请新用户注册赠送积分活动 1841339
关于科研通互助平台的介绍 1689961