Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/109441
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Applied Social Sciences | - |
dc.creator | Zhang, W | en_US |
dc.creator | Liu, T | en_US |
dc.creator | Leung, DKY | en_US |
dc.creator | Chan, S | en_US |
dc.creator | Wong, G | en_US |
dc.creator | Lum, T | en_US |
dc.date.accessioned | 2024-10-18T06:10:41Z | - |
dc.date.available | 2024-10-18T06:10:41Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/109441 | - |
dc.language.iso | en | en_US |
dc.publisher | Oxford University Press | en_US |
dc.rights | © The Author(s) 2023. Published by Oxford University Press on behalf of The Gerontological Society of America. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@ oup.com | en_US |
dc.rights | The following publication Wen Zhang, Tianyin Liu, Dara Kiu Yi Leung, Stephen Chan, Gloria Wong, Terry Lum, Sad Mood Bridges Depressive Symptoms and Cognitive Performance in Community-Dwelling Older Adults: A Network Approach, Innovation in Aging, Volume 8, Issue 1, 2024, igad139 is available at https://doi.org/10.1093/geroni/igad139. | en_US |
dc.subject | Cognition | en_US |
dc.subject | Depressive symptoms | en_US |
dc.subject | Mental health | en_US |
dc.subject | Network analysis | en_US |
dc.subject | Quantitative research methods | en_US |
dc.title | Sad mood bridges depressive symptoms and cognitive performance in community-dwelling older adults : a network approach | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 8 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.doi | 10.1093/geroni/igad139 | en_US |
dcterms.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. | - |
dcterms.abstract | 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. | - |
dcterms.abstract | Results: Participants (mean age = 77.3 years, SD = 8.5) scored 8.2 (SD = 3.4) on PHQ-9 and 20.3 (SD = 5.4) on MoCA-5min. Three independent communities were identified in PHQ-9 and MoCA-5min items, suggesting that depression is not a uniform entity (2 communities) and has differential connections with cognition. The network estimation results suggested that the 2 most prominent connections between depressive symptoms and cognitive domains were: (1) anhedonia with executive functions/language and (2) sad mood with memory. Among all depressive symptoms, sad mood had the highest BEI, bridging depressive symptoms and cognitive domains. | - |
dcterms.abstract | Discussion and Implications: Sad mood seems to be the pathway between depression and cognition in this sample of older Chinese. This finding highlights the importance of sad mood as a potential mechanism for the co-occurrence of depression and cognitive impairment, implying that intervention targeting sad mood might have rippling effects on cognitive health. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Innovation in aging, 2024, v. 8, no. 1, igad139 | en_US |
dcterms.isPartOf | Innovation in aging | en_US |
dcterms.issued | 2024 | - |
dc.identifier.scopus | 2-s2.0-85187263720 | - |
dc.identifier.eissn | 2399-5300 | en_US |
dc.identifier.artn | igad139 | en_US |
dc.description.validate | 202410 bcch | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Others | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Hong Kong Jockey Club Charities Trust for the Project JC JoyAge: Jockey Club Holistic Support Project for Elderly Mental Wellness | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
igad139.pdf | 7.01 MB | Adobe PDF | View/Open |
Page views
28
Citations as of Nov 24, 2024
Downloads
10
Citations as of Nov 24, 2024
SCOPUSTM
Citations
1
Citations as of Nov 21, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.