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
刚刚
美满怀绿完成签到 ,获得积分10
2秒前
2秒前
义气的泥猴桃完成签到,获得积分20
2秒前
2秒前
小陈完成签到,获得积分10
3秒前
橙子完成签到 ,获得积分10
3秒前
5秒前
Dillen发布了新的文献求助10
5秒前
orixero应助1823323145采纳,获得10
5秒前
小譆完成签到,获得积分10
6秒前
天天快乐应助hhhhhh采纳,获得10
7秒前
贝肯帕尼尼完成签到 ,获得积分10
7秒前
星星发布了新的文献求助10
10秒前
10秒前
慕青应助科研通管家采纳,获得10
10秒前
10秒前
所所应助科研通管家采纳,获得10
10秒前
10秒前
10秒前
10秒前
星辰大海应助科研通管家采纳,获得10
10秒前
科研通AI2S应助科研通管家采纳,获得30
10秒前
11秒前
共享精神应助科研通管家采纳,获得10
11秒前
尼亚吉拉发布了新的文献求助10
11秒前
11秒前
JamesPei应助科研通管家采纳,获得10
11秒前
molihuakai应助科研通管家采纳,获得10
11秒前
咕咕完成签到,获得积分10
13秒前
Dillen完成签到,获得积分10
14秒前
CCC完成签到,获得积分10
14秒前
葛洲坝小鱼人完成签到,获得积分10
18秒前
青春恰自来完成签到,获得积分10
19秒前
hhhhhh完成签到,获得积分10
23秒前
坚强的哈密瓜完成签到,获得积分10
26秒前
1823323145发布了新的文献求助10
28秒前
科目三应助典雅清采纳,获得10
30秒前
排骨炖豆角完成签到,获得积分10
31秒前
yuyuan82202完成签到,获得积分10
34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
Cronologia da história de Macau 5000
Merrill's Atlas of Radiographic Positioning and Procedures - 3-Volume Set, 16th Edition 2000
Petrology and Plate Tectonics 800
Matrix Methods in Data Mining and Pattern Recognition 540
Trees of tropical Asia : an illustrated guide to diversity 500
Materials Informatics Molecules, Crystals and Beyond A volume in Acta Materialia Book Series 400
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 7047315
求助须知:如何正确求助?哪些是违规求助? 8713111
关于积分的说明 18449210
捐赠科研通 6562153
什么是DOI,文献DOI怎么找? 3118896
关于科研通互助平台的介绍 2205260
邀请新用户注册赠送积分活动 2094277