Central and Bridging Roles of Social Relationships Within the Multilayer Health Ecology Model in Motoric Cognitive Risk Syndrome: A Network Analysis.
Motoric cognitive risk (MCR) syndrome signals dementia risk in older adults, with social relationships recognized as modifiable influences; however, their interconnectedness with the multilayer factors of the health ecology model remains underexplored. This study aims to investigate the central and...
| Publicado en: | Journal of the American Medical Directors Association Vol. 26; no. 9 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Sep2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187703169&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187703169 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15258610 N1L jtl: Journal of the American Medical Directors Association issn: 15258610 maglogo: N pubinfo: dt: Sep2025 vid: 26 iid: 9 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 187703169 187703169 187703169 10.1016/j.jamda.2025.105771 187703169 ppct: 1 formats: tig: atl: Central and Bridging Roles of Social Relationships Within the Multilayer Health Ecology Model in Motoric Cognitive Risk Syndrome: A Network Analysis. aug: au: Su, Liming Jiang, Linfu Ma, Yiting Wang, Zhonghua Wang, Xiaoying Lin, Yang affil: School of Medicine, Zhejiang Ocean University, Zhoushan, Zhejiang Province, China sug: subj: Support, Social Interpersonal Relations Cognition Disorders Diagnosis Social Participation Social Networks Community Living In Old Age Human Male Female Cross Sectional Studies China Aged Aged, 80 and Over Health Behavior Socioeconomic Factors Surveys Multiple Linear Regression Self Report Self Concept Aged: 65+ years Aged, 80 & over Male Female ab: Motoric cognitive risk (MCR) syndrome signals dementia risk in older adults, with social relationships recognized as modifiable influences; however, their interconnectedness with the multilayer factors of the health ecology model remains underexplored. This study aims to investigate the central and bridging functions of social activities, social networks, and social support within the health ecology model in the context of MCR. A cross-sectional study. A total of 561 community-dwelling older adults with MCR were recruited from the Aging Survey in Mountainous and Island Counties in China. Participants completed the 15-item Chinese version of the social relationships scale. Multivariable linear regression was conducted to identify significant associations between the multidimensional aspects of social relationships and the multilayer factors within the health ecology model. These variables were subsequently incorporated into the mixed graphical model–based network analysis to examine structural associations. Network centrality, predictability, and bridging metrics were further assessed to identify key influential nodes. Mixed graphical model–based network analysis revealed that social networks exhibited the highest values of strength, bridge strength, and predictability, followed by social support and activities. Notably, strong correlations were observed between social networks and education level (≥1 year) (r = 0.635), social networks and self-reported financial status (wealthy) (r = 0.623), social activities and self-reported financial status (wealthy) (r = 0.557), and social support and self-esteem (r = 0.523). Social networks, social activities, and social support function as central and bridging roles within the multilayer health ecology model, linking socioeconomic and behavioral factors in MCR. These findings underscore the importance of social relationships as culturally sensitive and modifiable targets for multilevel interventions from a mechanistic perspective, offering a theoretical foundation for practices and policies aimed at slowing MCR progression and promoting healthy cognitive aging. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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