Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

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

Full metadata record
DC Field Value Language
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-
Files in This Item
There are no files associated with this item.
Appears in
Collections
자연과학대학 > Dept. of Information and Statistics > Journal Articles

qrcode

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

Related Researcher

Researcher Kim, Su Hwan photo

Kim, Su Hwan
자연과학대학 (정보통계학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE