Mechanisms Leading to Sedentary Behaviors among Older Adults in Chinese Residential Care Homes: The Capability, Opportunity, Motivation-Behavior Model Guided Structural Equation Modeling
- Authors
- Dong, Sihan; Wang, Min; Kim, Su Hwan; Chen, Zhaodong; Hu, Xiangning; Li, Peiyao; Liu, Xueying; Xu, Mengjiao; Yang, Xiuling; Song, Yuting
- Issue Date
- Jul-2025
- Publisher
- Lippincott Williams & Wilkins Ltd.
- Keywords
- older people; residential care home; Sedentary behavior; structural equation modeling
- Citation
- Journal of the American Medical Directors Association, v.26, no.7
- Indexed
- SCIE
SCOPUS
- Journal Title
- Journal of the American Medical Directors Association
- Volume
- 26
- Number
- 7
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/78868
- DOI
- 10.1016/j.jamda.2025.105629
- ISSN
- 1525-8610
1538-9375
- Abstract
- Objective: 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
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