Sihan Dong BSN , Min Wang PhD , Su Hwan Kim PhD , Zhaodong Chen , Xiangning Hu , Peiyao Li , Xueying Liu BSN , Mengjiao Xu BSN , Xiuling Yang PhD , Yuting Song PhD
{"title":"中国养老院老年人久坐行为的机制:能力、机会、动机-行为模型导向的结构方程模型。","authors":"Sihan Dong BSN , Min Wang PhD , Su Hwan Kim PhD , Zhaodong Chen , Xiangning Hu , Peiyao Li , Xueying Liu BSN , Mengjiao Xu BSN , Xiuling Yang PhD , Yuting Song PhD","doi":"10.1016/j.jamda.2025.105629","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>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.</div></div><div><h3>Design</h3><div>Cross-sectional study.</div></div><div><h3>Setting and Participants</h3><div>We collected data from 329 residents who lived in 11 residential care homes in China.</div></div><div><h3>Method</h3><div>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.</div></div><div><h3>Result</h3><div>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; <em>P</em> = .039; 95% CI, −0.054 to −0.031]), but also indirectly through exercise self-efficacy (β = 0.003; <em>P</em> < .001; 95% CI, −0.023 to −0.011]) and depressive symptoms (β = 0.003; <em>P</em> < .001; 95% CI, −0.018 to −0.006) affected sedentary behaviors. ADLs indirectly affected sedentary behaviors through exercise self-efficacy (β = 0.029; <em>P</em> < .001; 95% CI, −0.220 to −0.107) and depressive symptoms (β = 0.099; <em>P</em> < .001; 95% CI, −0.161 to −0.053).</div></div><div><h3>Conclusions and Implications</h3><div>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.</div></div>","PeriodicalId":17180,"journal":{"name":"Journal of the American Medical Directors Association","volume":"26 7","pages":"Article 105629"},"PeriodicalIF":4.2000,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mechanisms Leading to Sedentary Behaviors among Older Adults in Chinese Residential Care Homes: The Capability, Opportunity, Motivation-Behavior Model Guided Structural Equation Modeling\",\"authors\":\"Sihan Dong BSN , Min Wang PhD , Su Hwan Kim PhD , Zhaodong Chen , Xiangning Hu , Peiyao Li , Xueying Liu BSN , Mengjiao Xu BSN , Xiuling Yang PhD , Yuting Song PhD\",\"doi\":\"10.1016/j.jamda.2025.105629\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>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.</div></div><div><h3>Design</h3><div>Cross-sectional study.</div></div><div><h3>Setting and Participants</h3><div>We collected data from 329 residents who lived in 11 residential care homes in China.</div></div><div><h3>Method</h3><div>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.</div></div><div><h3>Result</h3><div>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; <em>P</em> = .039; 95% CI, −0.054 to −0.031]), but also indirectly through exercise self-efficacy (β = 0.003; <em>P</em> < .001; 95% CI, −0.023 to −0.011]) and depressive symptoms (β = 0.003; <em>P</em> < .001; 95% CI, −0.018 to −0.006) affected sedentary behaviors. ADLs indirectly affected sedentary behaviors through exercise self-efficacy (β = 0.029; <em>P</em> < .001; 95% CI, −0.220 to −0.107) and depressive symptoms (β = 0.099; <em>P</em> < .001; 95% CI, −0.161 to −0.053).</div></div><div><h3>Conclusions and Implications</h3><div>The high levels of sedentary behaviors among our sample of residents warrant awareness among long-term care staff and managers. 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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
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.
期刊介绍:
JAMDA, the official journal of AMDA - The Society for Post-Acute and Long-Term Care Medicine, is a leading peer-reviewed publication that offers practical information and research geared towards healthcare professionals in the post-acute and long-term care fields. It is also a valuable resource for policy-makers, organizational leaders, educators, and advocates.
The journal provides essential information for various healthcare professionals such as medical directors, attending physicians, nurses, consultant pharmacists, geriatric psychiatrists, nurse practitioners, physician assistants, physical and occupational therapists, social workers, and others involved in providing, overseeing, and promoting quality