Evidence map›Paper›PMID 41541892›Full record

ArticleChina CDC weekly2025

Prevalence of Depression and Anxiety Symptoms and the Influencing Factors Among Older Adults Aged 60 Years and Over - 7 PLADs, China, 2024.

Xin Gao, Yingchen Sang, Youjiao Wang, Xinying Zeng, Jinglei Wang, Xiang Si, Ying Liu, Shiwei Liu

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Xin GaoTobacco Control Office, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Yingchen SangTobacco Control Office, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Youjiao WangTobacco Control Office, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Xinying ZengTobacco Control Office, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Jinglei WangOffice of NCD and Ageing Health Management, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Xiang SiOffice of NCD and Ageing Health Management, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Ying LiuTobacco Control Office, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Shiwei LiuTobacco Control Office, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Mental health problems in older adults have become a major public health concern. What is added by this report?: The prevalence of depression and anxiety symptoms in adults aged ≥60 years was 13.8% and 8.0%, respectively. Compared with good sleep quality, the odds ratio (95% confidence interval) of depression and anxiety for those with poor sleep quality was 7.88 (6.33, 9.79) and 6.42 (5.02, 8.22), respectively. What are the implications for public health practice?: Early screening for depression and anxiety, lifestyle interventions and chronic disease management should be strengthened to promote mental health of older adults.

Indexed as

AnxietyDepressionLifestyle PromotionOlder Adults

Identifiers

PMID41541892
PMCPMC12801040

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.