Evidence map›Paper›PMID 38351984›Full record

ArticleInnovation in aging2024

Sad Mood Bridges Depressive Symptoms and Cognitive Performance in Community-Dwelling Older Adults: A Network Approach.

Wen Zhang, Tianyin Liu, Dara Kiu Yi Leung, Stephen Chan, Gloria Wong, Terry Lum

Abstract read
In one paragraph

Article in Innovation in aging, 2024. 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
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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.

Wen ZhangSchool of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, China.ORCID https://orcid.org/0000-0002-8166-2879
Tianyin LiuDepartment of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China.ORCID https://orcid.org/0000-0002-8194-5342
Dara Kiu Yi LeungDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0002-7255-2790
Stephen ChanFelizberta Lo Padilla Tong School of Social Sciences, Caritas Institute of Higher Education, Hong Kong, China.ORCID https://orcid.org/0000-0003-4240-0742
Gloria WongDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0002-1331-942X
Terry LumDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0003-1196-5345

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Depression and cognitive impairment are common and often coexist in older adults. The network theory of mental disorders provides a novel approach to understanding the pathways between depressive symptoms and cognitive domains and the potential "bridge" that links and perpetuates both conditions. This study aimed to identify pathways and bridge symptoms between depressive symptoms and cognitive domains in older adults. Research Design and Methods: Data were derived from 2,792 older adults aged 60 years and older with mild and more severe depressive symptoms from the community in Hong Kong. Depressive symptoms were assessed using the Patient Health Questionnaire (PHQ-9) and cognition using the Montreal Cognitive Assessment 5-minute protocol (MoCA-5min). Summary descriptive statistics were calculated, followed by network estimation using graphical LASSO, community detection, centrality analysis using bridge expected influence (BEI), and network stability analyses to assess the structure of the PHQ-9 and MoCA-5min items network, the pathways, and the bridge symptoms. Results: Participants (mean age = 77.3 years, Discussion and Implications:

Indexed as

CognitionDepressive symptomsMental healthNetwork analysisQuantitative research methods

Identifiers

PMID38351984
PMCPMC10863485

What OpenQuestion holds

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Registered trials

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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.