Abstract：
OBJECTIVE: To investigate the prevalence of physical inactivity in older adults living in nursing homes and explore the determinants of physical inactivity by using the Capability, Opportunity, Motivation-Behaviour model.
METHODS: A multisite, cross-sectional study was performed by convenience sampling and questionnaire survey.
METHODS: A total of 390 nursing home residents were recruited from three nursing homes in Southern China from May 2022 to April 2023. The participants completed a self-designed general information questionnaire, Physical Activity Scale for the Elderly, Self-Efficacy for Exercise Scale, Exercise Benefits Scale, Patient Health Questionnaire-9 and the Short Physical Performance Battery test. Descriptive statistics, univariate analysis, Spearman correlation analysis, and ordinal logistic regression were applied for data analysis.
RESULTS: The prevalence of physical inactivity among the nursing home residents reached 88.46%. Ordinal logistic regression results showed that exercise self-efficacy, perceived exercise benefits, physical function, availability of physical activity instruction, having depression, number of chronic diseases and living with spouse were the main influencing determinants of physical inactivity and explained 63.7% of the variance.
CONCLUSIONS: Physical inactivity was considerable in nursing home residents in China and influenced by complex factors. Tailored measures should be designed and implemented based on these factors to enhance physical activity while considering the uniqueness of Chinese culture.
UNASSIGNED: Healthcare professionals should enhance physical activity of residents by increasing benefits understanding, boosting self-efficacy, improving physical function, alleviating depression and integrating personalized physical activity guidance into routine care services. And more attention should be paid to the residents who had more chronic diseases or did not live with spouse.
CONCLUSIONS: Physical inactivity is a significant problem in nursing home residents. Understanding physical inactivity and its determinants enables the development of tailored interventions to enhance their physical activity level.
UNASSIGNED: This study was reported conforming to the STROBE statement.
UNASSIGNED: Nursing home residents who met the inclusion criteria were recruited.
METHODS: A multisite, cross-sectional study was performed by convenience sampling and questionnaire survey.
METHODS: A total of 390 nursing home residents were recruited from three nursing homes in Southern China from May 2022 to April 2023. The participants completed a self-designed general information questionnaire, Physical Activity Scale for the Elderly, Self-Efficacy for Exercise Scale, Exercise Benefits Scale, Patient Health Questionnaire-9 and the Short Physical Performance Battery test. Descriptive statistics, univariate analysis, Spearman correlation analysis, and ordinal logistic regression were applied for data analysis.
RESULTS: The prevalence of physical inactivity among the nursing home residents reached 88.46%. Ordinal logistic regression results showed that exercise self-efficacy, perceived exercise benefits, physical function, availability of physical activity instruction, having depression, number of chronic diseases and living with spouse were the main influencing determinants of physical inactivity and explained 63.7% of the variance.
CONCLUSIONS: Physical inactivity was considerable in nursing home residents in China and influenced by complex factors. Tailored measures should be designed and implemented based on these factors to enhance physical activity while considering the uniqueness of Chinese culture.
UNASSIGNED: Healthcare professionals should enhance physical activity of residents by increasing benefits understanding, boosting self-efficacy, improving physical function, alleviating depression and integrating personalized physical activity guidance into routine care services. And more attention should be paid to the residents who had more chronic diseases or did not live with spouse.
CONCLUSIONS: Physical inactivity is a significant problem in nursing home residents. Understanding physical inactivity and its determinants enables the development of tailored interventions to enhance their physical activity level.
UNASSIGNED: This study was reported conforming to the STROBE statement.
UNASSIGNED: Nursing home residents who met the inclusion criteria were recruited.
摘要：
目的：调查居住在疗养院的老年人缺乏体力活动的患病率，并通过使用能力来探索缺乏体力活动的决定因素，机会,动机-行为模型。
方法：多点，采用方便抽样和问卷调查的方法进行横断面研究.
方法：从2022年5月至2023年4月，从中国南方的三家养老院招募了390名养老院居民。参与者完成了自行设计的一般信息问卷，老年人身体活动量表,运动自我效能量表，锻炼福利量表，患者健康问卷-9和短体能电池测试。描述性统计，单变量分析，Spearman相关分析,并采用序数逻辑回归进行数据分析。
结果：养老院居民缺乏体力活动的患病率达到88.46%。序数logistic回归结果显示,运动自我效能感,感知到的锻炼益处，物理功能，身体活动指导的可用性，有抑郁症,慢性病的数量和与配偶一起生活是缺乏体力活动的主要影响因素，并解释了63.7％的差异。
结论：中国养老院居民缺乏体力活动是相当大的，受多种因素的影响。应根据这些因素设计和实施量身定制的措施，以增强体育锻炼，同时考虑中国文化的独特性。
■医疗保健专业人员应通过增加对福利的了解来增强居民的体育锻炼，提高自我效能感，改善身体机能，缓解抑郁，并将个性化身体活动指导纳入常规护理服务。应该更多地关注患有更多慢性病或没有与配偶生活在一起的居民。
结论：缺乏运动是养老院居民的一个重要问题。了解身体不活动及其决定因素可以开发量身定制的干预措施，以提高他们的身体活动水平。
■本研究报告符合STROBE声明。
■招募符合纳入标准的疗养院居民。
方法：多点，采用方便抽样和问卷调查的方法进行横断面研究.
方法：从2022年5月至2023年4月，从中国南方的三家养老院招募了390名养老院居民。参与者完成了自行设计的一般信息问卷，老年人身体活动量表,运动自我效能量表，锻炼福利量表，患者健康问卷-9和短体能电池测试。描述性统计，单变量分析，Spearman相关分析,并采用序数逻辑回归进行数据分析。
结果：养老院居民缺乏体力活动的患病率达到88.46%。序数logistic回归结果显示,运动自我效能感,感知到的锻炼益处，物理功能，身体活动指导的可用性，有抑郁症,慢性病的数量和与配偶一起生活是缺乏体力活动的主要影响因素，并解释了63.7％的差异。
结论：中国养老院居民缺乏体力活动是相当大的，受多种因素的影响。应根据这些因素设计和实施量身定制的措施，以增强体育锻炼，同时考虑中国文化的独特性。
■医疗保健专业人员应通过增加对福利的了解来增强居民的体育锻炼，提高自我效能感，改善身体机能，缓解抑郁，并将个性化身体活动指导纳入常规护理服务。应该更多地关注患有更多慢性病或没有与配偶生活在一起的居民。
结论：缺乏运动是养老院居民的一个重要问题。了解身体不活动及其决定因素可以开发量身定制的干预措施，以提高他们的身体活动水平。
■本研究报告符合STROBE声明。
■招募符合纳入标准的疗养院居民。
