Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/4367
DC FieldValueLanguage
dc.contributor.authorChan, Stephen Cheong Yuen_US
dc.contributor.otherZhang, W.-
dc.contributor.otherLiu, T.-
dc.contributor.otherLeung, D.-
dc.contributor.otherWong, G.-
dc.contributor.otherLum, T.-
dc.date.accessioned2024-01-03T02:30:21Z-
dc.date.available2024-01-03T02:30:21Z-
dc.date.issued2023-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/4367-
dc.description.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. Research Design and Methods Data were derived from 2792 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-min 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, 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 (two communities) and has differential connections with cognition. The network estimation results suggested that the two most prominent connections between depressive symptoms and cognitive domains were: (1) <i>anhedonia</i> with <i>executive functions/language</i> and (2) <i>sad mood</i> with <i>memory</i>. Among all depressive symptoms, <i>sad mood</i> had the highest BEI, bridging depressive symptoms and cognitive domains. Discussion and Implications <i>Sad mood</i> seems to be the pathway between depression and cognition in this sample of older Chinese. This finding highlights the importance of <i>sad mood</i> 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.en_US
dc.language.isoenen_US
dc.publisherOxford University Pressen_US
dc.relation.ispartofInnovation in Agingen_US
dc.titleSad mood bridges depressive symptoms and cognitive performance in community-dwelling older adults: A network approachen_US
dc.typejournal articleen_US
dc.identifier.doi10.1093/geroni/igad139-
dc.contributor.affiliationFelizberta Lo Padilla Tong School of Social Sciencesen_US
dc.relation.issn2399-5300en_US
dc.cihe.affiliatedYes-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.openairetypejournal article-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
crisitem.author.deptFelizberta Lo Padilla Tong School of Social Sciences-
Appears in Collections:SS Publication
Files in This Item:
File Description SizeFormat
View Online87 BHTMLView/Open
SFX Query Show simple item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.