Spatiotemporal Evolution of the Prevalence of Depressive Symptoms Among Older Adults - China, 2013-2020.

IF 2.9 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Kexin Li, Peihan Wang, Li Wang, Zhenbo Wang, Chengdong Xu, Xueying Zhao, Huimin Zhang, Yuehua Hu
{"title":"Spatiotemporal Evolution of the Prevalence of Depressive Symptoms Among Older Adults - China, 2013-2020.","authors":"Kexin Li, Peihan Wang, Li Wang, Zhenbo Wang, Chengdong Xu, Xueying Zhao, Huimin Zhang, Yuehua Hu","doi":"10.46234/ccdcw2025.120","DOIUrl":null,"url":null,"abstract":"<p><strong>What is already known about this topic?: </strong>Depression among older adults represents a critical public health challenge in China. While previous research has documented spatial heterogeneity in the prevalence of depressive symptoms among elderly populations across China, the comprehensive spatiotemporal patterns remain inadequately characterized.</p><p><strong>What is added by this report?: </strong>This study provides the first comprehensive city-level analysis of elderly depressive symptom prevalence in China from 2013 to 2020. The findings reveal a substantial increase in average prevalence from 30.27% [95% confidence interval (<i>CI</i>): 24.53%, 36.02%] in 2013 to 37.79% (95% <i>CI</i>: 31.01%, 44.56%) in 2020. Higher prevalence rates were consistently observed in cities across Southwest, Northwest, and Central China, though without significant spatial clustering patterns.</p><p><strong>What are the implications for public health practice?: </strong>Enhanced mental health interventions and preventive strategies targeting elderly populations are particularly warranted in China's western and central regions, where the burden of depressive symptoms is highest.</p>","PeriodicalId":69039,"journal":{"name":"中国疾病预防控制中心周报","volume":"7 21","pages":"732-736"},"PeriodicalIF":2.9000,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12227995/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国疾病预防控制中心周报","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.46234/ccdcw2025.120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

Abstract

What is already known about this topic?: Depression among older adults represents a critical public health challenge in China. While previous research has documented spatial heterogeneity in the prevalence of depressive symptoms among elderly populations across China, the comprehensive spatiotemporal patterns remain inadequately characterized.

What is added by this report?: This study provides the first comprehensive city-level analysis of elderly depressive symptom prevalence in China from 2013 to 2020. The findings reveal a substantial increase in average prevalence from 30.27% [95% confidence interval (CI): 24.53%, 36.02%] in 2013 to 37.79% (95% CI: 31.01%, 44.56%) in 2020. Higher prevalence rates were consistently observed in cities across Southwest, Northwest, and Central China, though without significant spatial clustering patterns.

What are the implications for public health practice?: Enhanced mental health interventions and preventive strategies targeting elderly populations are particularly warranted in China's western and central regions, where the burden of depressive symptoms is highest.

2013-2020年中国老年人抑郁症状患病率的时空演变
关于这个话题我们已经知道了什么?在中国,老年人抑郁症是一个重大的公共卫生挑战。虽然以前的研究已经记录了中国老年人抑郁症状患病率的空间异质性,但综合时空模式仍未充分表征。这份报告增加了什么内容?本研究首次在城市层面对2013 - 2020年中国老年人抑郁症状患病率进行了综合分析。研究结果显示,平均患病率从2013年的30.27%[95%置信区间(CI): 24.53%, 36.02%]大幅增加到2020年的37.79% (95% CI: 31.01%, 44.56%)。中国西南、西北和中部城市的患病率均较高,但没有明显的空间聚类模式。这对公共卫生实践有什么影响?在中国西部和中部地区,尤其需要加强针对老年人的心理健康干预和预防策略,因为那里的抑郁症状负担最重。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
5.90
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信