Global, regional, and national temporal trends in prevalence for depressive disorders in older adults, 1990–2019: An age-period-cohort analysis based on the global burden of disease study 2019

队列 流行病学 代群效应 医学 趋势分析 公共卫生 队列研究 疾病 人口学 老年学 病理 计算机科学 机器学习 社会学
作者
Jian Rong,Pan Cheng,Dan Li,Xueqin Wang,Dahai Zhao
出处
期刊:Ageing Research Reviews [Elsevier BV]
卷期号:100: 102443-102443 被引量:52
标识
DOI:10.1016/j.arr.2024.102443
摘要

As a severe public health issue, depressive disorders (DD) has caused an increasingly burden of disease, especially in the older adults. To provide an overview and in-depth analysis of temporal trends in prevalence of DD in older adults at global, regional, and national levels over the last 30 years. Here, an age-period-cohort model was adopted to analyze age, period, and cohort effects. We showed that the global prevalence of DD in older adults was increasing. The net drift of the global prevalence of DD was showing an increasing trend in 78 countries, while local drift showing a declining trend in all age groups in high sociodemographic index (SDI) region. Additionally, period and cohort effects exhibited different patterns across regions. Over time, the declining trend was most significant in high SDI regions, while this trend was most significant in middle SDI region. Interestingly, those aged 60-64 years to 70-74 years was increasing globally, while age group aged 75-79 years to 95-99 years was on declining. In high, high-middle, and low SDI regions, individuals born early face higher risks than those born late, while the opposite results were observed in low-middle SDI region. Overall, our findings offer a insight global perspective for studying the temporal trends of DD prevalence, supplementing our evidence and understanding of DD epidemiology, and identifying gaps in DD prevention, management, and intervention plans in different aspects.
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
Loretta发布了新的文献求助10
1秒前
2秒前
RR完成签到,获得积分10
2秒前
xiyin发布了新的文献求助10
4秒前
大模型应助加贝采纳,获得10
4秒前
生化老子完成签到,获得积分20
4秒前
花花公子完成签到,获得积分10
5秒前
7秒前
lll发布了新的文献求助10
8秒前
9秒前
9秒前
fhghhhjh完成签到,获得积分10
9秒前
过时的孤晴完成签到 ,获得积分10
9秒前
陈亦完成签到 ,获得积分10
10秒前
余亮完成签到 ,获得积分10
10秒前
sjdhasj发布了新的文献求助10
12秒前
LynxWell发布了新的文献求助10
12秒前
森sen完成签到 ,获得积分10
13秒前
科研通AI6.3应助Tianji采纳,获得10
15秒前
15秒前
李爱国应助lll采纳,获得10
15秒前
AireenBeryl531完成签到,获得积分0
16秒前
LXK发布了新的文献求助10
16秒前
啦啦啦发布了新的文献求助10
16秒前
小陈完成签到,获得积分10
17秒前
丘比特应助xiyin采纳,获得10
18秒前
杨同学发布了新的文献求助10
20秒前
21秒前
24秒前
25秒前
加贝发布了新的文献求助10
27秒前
28秒前
yinyin发布了新的文献求助10
31秒前
32秒前
heart完成签到,获得积分10
32秒前
萧布发布了新的文献求助30
33秒前
隐形的大有完成签到,获得积分10
33秒前
共享精神应助Loretta采纳,获得10
33秒前
千纸鹤完成签到 ,获得积分10
34秒前
zoe666发布了新的文献求助30
35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
Development Across Adulthood 800
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
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 6446067
求助须知:如何正确求助?哪些是违规求助? 8259507
关于积分的说明 17595523
捐赠科研通 5506788
什么是DOI,文献DOI怎么找? 2901902
邀请新用户注册赠送积分活动 1878867
关于科研通互助平台的介绍 1718995