Evidence map›Paper›PMID 40804662›Full record

ArticleBMC geriatrics2025

Network relationships among depressive symptoms, sleep quality, and frailty in Chinese older adults: an undirected and bayesian network analysis.

Jia Fang, Wenwen Wu, Chen Yang, Ni Zhang, Yibo Wu, Meifen Zhang

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

6 authors.

Jia FangSchool of Nursing, Sun Yat-Sen University, Guangzhou, Guangdong, China.ORCID http://orcid.org/0000-0003-1602-3445
Wenwen WuSchool of Nursing, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Chen YangSchool of Nursing, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Ni ZhangSchool of Nursing, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Yibo WuDepartment of Nursing, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China. bjmuwuyibo@outlook.com.ORCID http://orcid.org/0000-0001-9607-313X
Meifen ZhangSchool of Nursing, Sun Yat-Sen University, Guangzhou, Guangdong, China. zhmfen@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-7931-3285

Funding

General Program of the National Natural Science Foundation of China 72374232
6 · The paper itself

Abstract

backgroundDepressive symptoms, sleep disturbances, and frailty significantly affect older adults, representing a substantial public health issue. Although previous studies have demonstrated complex interrelationships among these factors, the underlying causal pathways and optimal intervention targets remain unclear.

objectiveThe study aimed to elucidate the potential causal pathways linking these factors and identify optimal intervention targets to mitigate their synergistic effects.

methodsA cross-sectional study was conducted in 2022 among 3,924 Chinese adults aged ≥ 60 years. Frailty was assessed using the FRAIL scale; sleep quality via the Brief Pittsburgh Sleep Quality Index; and depressive symptoms with the Patient Health Questionnaire-9. We employed network and Bayesian analyses to examine the interactions among these factors, focusing on identifying core and bridge symptoms and potential causal directions.

resultsOur findings indicate that illness (r

conclusionThis study uncovers the complex links between depressive symptoms, sleep quality, and frailty in older adults. Illness and fatigue are key symptoms, with sleep disturbances identified as a primary predictor affecting both sleep quality and frailty. Targeting sleep disturbances may alleviate frailty and enhance overall sleep health.

Indexed as

DepressionFrail ElderlyFrailtySleep QualitySleep Wake DisordersAgedAged, 80 and overBayes TheoremChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedDepressive symptomsFrailtyNetwork analysisOlder adultsSleep quality

Identifiers

PMID40804662
PMCPMC12344849

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LicenceCC BY-NC-ND
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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.