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Mechanisms Leading to Sedentary Behaviors among Older Adults in Chinese Residential Care Homes: The Capability, Opportunity, Motivation-Behavior Model Guided Structural Equation Modeling

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dc.contributor.authorDong, Sihan-
dc.contributor.authorWang, Min-
dc.contributor.authorKim, Su Hwan-
dc.contributor.authorChen, Zhaodong-
dc.contributor.authorHu, Xiangning-
dc.contributor.authorLi, Peiyao-
dc.contributor.authorLiu, Xueying-
dc.contributor.authorXu, Mengjiao-
dc.contributor.authorYang, Xiuling-
dc.contributor.authorSong, Yuting-
dc.date.accessioned2025-06-16T07:00:07Z-
dc.date.available2025-06-16T07:00:07Z-
dc.date.issued2025-07-
dc.identifier.issn1525-8610-
dc.identifier.issn1538-9375-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/78868-
dc.description.abstractObjective: To evaluate sedentary behaviors among older adults in residential care homes and explore potential mechanisms leading to sedentary behaviors based on the Capability, Opportunity, and Motivation to Behavior (COM-B) model. Design: Cross-sectional study. Setting and Participants: We collected data from 329 residents who lived in 11 residential care homes in China. Method: We collected self-reported survey data on resident demographics, sedentary behavior, activities of daily living (ADLs), social support, exercise self-efficacy, and depressive symptoms. Mean and standard deviation were used to describe the sedentary behavior of older adults in care homes. We drew on the COM-B model and constructed a structural equation model to assess the interrelationships of ADLs, social support, exercise self-efficacy, depressive symptoms, and sedentary behavior. Result: The average daily sedentary time of older adults in our sample was 11.4 hours (SD = 2.6). Social support not only directly influenced sedentary behavior of older adults in care homes (β = 0.042; P = .039; 95% CI, −0.054 to −0.031]), but also indirectly through exercise self-efficacy (β = 0.003; P < .001; 95% CI, −0.023 to −0.011]) and depressive symptoms (β = 0.003; P < .001; 95% CI, −0.018 to −0.006) affected sedentary behaviors. ADLs indirectly affected sedentary behaviors through exercise self-efficacy (β = 0.029; P < .001; 95% CI, −0.220 to −0.107) and depressive symptoms (β = 0.099; P < .001; 95% CI, −0.161 to −0.053). Conclusions and Implications: The high levels of sedentary behaviors among our sample of residents warrant awareness among long-term care staff and managers. Potential strategies for reducing sedentary behaviors include promoting social support, enhancing exercise self-efficacy, and managing depressive symptoms. © 2025-
dc.language영어-
dc.language.isoENG-
dc.publisherLippincott Williams & Wilkins Ltd.-
dc.titleMechanisms Leading to Sedentary Behaviors among Older Adults in Chinese Residential Care Homes: The Capability, Opportunity, Motivation-Behavior Model Guided Structural Equation Modeling-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1016/j.jamda.2025.105629-
dc.identifier.scopusid2-s2.0-105007297079-
dc.identifier.wosid001507952200001-
dc.identifier.bibliographicCitationJournal of the American Medical Directors Association, v.26, no.7-
dc.citation.titleJournal of the American Medical Directors Association-
dc.citation.volume26-
dc.citation.number7-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaGeriatrics & Gerontology-
dc.relation.journalWebOfScienceCategoryGeriatrics & Gerontology-
dc.subject.keywordPlusPERCEIVED SOCIAL SUPPORT-
dc.subject.keywordPlusPHYSICAL-ACTIVITY-
dc.subject.keywordPlusMULTIDIMENSIONAL SCALE-
dc.subject.keywordPlusSELF-EFFICACY-
dc.subject.keywordPlusRELIABILITY-
dc.subject.keywordPlusVALIDITY-
dc.subject.keywordPlusHEALTH-
dc.subject.keywordPlusEXERCISE-
dc.subject.keywordPlusTIME-
dc.subject.keywordPlusMORTALITY-
dc.subject.keywordAuthorolder people-
dc.subject.keywordAuthorresidential care home-
dc.subject.keywordAuthorSedentary behavior-
dc.subject.keywordAuthorstructural equation modeling-
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