Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/109441
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dc.contributorDepartment of Applied Social Sciences-
dc.creatorZhang, Wen_US
dc.creatorLiu, Ten_US
dc.creatorLeung, DKYen_US
dc.creatorChan, Sen_US
dc.creatorWong, Gen_US
dc.creatorLum, Ten_US
dc.date.accessioned2024-10-18T06:10:41Z-
dc.date.available2024-10-18T06:10:41Z-
dc.identifier.urihttp://hdl.handle.net/10397/109441-
dc.language.isoenen_US
dc.publisherOxford University Pressen_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.comen_US
dc.rightsThe 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.subjectCognitionen_US
dc.subjectDepressive symptomsen_US
dc.subjectMental healthen_US
dc.subjectNetwork analysisen_US
dc.subjectQuantitative research methodsen_US
dc.titleSad mood bridges depressive symptoms and cognitive performance in community-dwelling older adults : a network approachen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume8en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1093/geroni/igad139en_US
dcterms.abstractBackground 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.abstractResearch 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.abstractResults: 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.abstractDiscussion 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.accessRightsopen accessen_US
dcterms.bibliographicCitationInnovation in aging, 2024, v. 8, no. 1, igad139en_US
dcterms.isPartOfInnovation in agingen_US
dcterms.issued2024-
dc.identifier.scopus2-s2.0-85187263720-
dc.identifier.eissn2399-5300en_US
dc.identifier.artnigad139en_US
dc.description.validate202410 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Others-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHong Kong Jockey Club Charities Trust for the Project JC JoyAge: Jockey Club Holistic Support Project for Elderly Mental Wellnessen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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