Evidence map›Paper›PMID 40620850›Full record

ArticleChina CDC weekly2025

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

Kexin Li, Peihan Wang, Li Wang, Zhenbo Wang, Chengdong Xu, Xueying Zhao, Huimin Zhang, Yuehua Hu

Abstract read
In one paragraph

Article in China CDC weekly, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kexin LiKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Peihan WangKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Li WangCollege of Geography and Environmental Science, Henan University, Kaifeng City, Henan Province, China.
Zhenbo WangKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Chengdong XuUniversity of Chinese Academy of Sciences, Beijing, China.
Xueying ZhaoKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Huimin ZhangKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Yuehua HuOffice of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 ( 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.

Indexed as

Chinese elderlyDepressive Symptom PrevalenceDisease BurdenSpatiotemporal Evolution

Identifiers

PMID40620850
PMCPMC12227995

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.