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使用平滑样条方差分析的PEER干预对老年人身体活动时间序列的有效性。

Effectiveness of PEER Intervention on Older Adults' Physical Activity Time Series Using Smoothing Spline ANOVA.

作者信息

Liu Yi, Liu Chang, Ni Liqiang, Zhang Wei, Chen Chen, Lopez Janet, Zheng Hao, Thiamwong Ladda, Xie Rui

机构信息

Department of Statistics and Data Science, University of Central Florida, Orlando, FL 32816, USA.

Department of Computer Science, University of Central Florida, Orlando, FL 32816, USA.

出版信息

Mathematics (Basel). 2025 Feb;13(3). doi: 10.3390/math13030516. Epub 2025 Feb 4.

Abstract

Falls are a major cause of injury among older adults. The Physio-fEedback Exercise pRogram (PEER) combines physio-feedback, cognitive reframing, and guided exercises to reduce fall risk. However, its impact on physical activity (PA) over time is underexplored. Functional time-series analysis offers insight into behavior patterns and sustainability. This preliminary study assessed PEER's effectiveness in improving PA levels immediately and over time. A total of 64 community-dwelling older adults were cluster-randomized into PEER or control groups . Participants wore Fitbit trackers, generating time-series data on activity. The PEER group completed an 8-week program, while the control group received CDC fall prevention pamphlets. PA data were analyzed using smoothing spline analysis of variance (SSANOVA), chosen for its flexibility in modeling complex, non-linear relationships in time-series data and its ability to handle skewed distributions and repeated measures. Unlike traditional parametric models, SSANOVA decomposes temporal trends into interpretable components, capturing both smooth trends and abrupt changes, such as those occurring on group workout days. This capability ensures robust and nuanced analysis of intervention effects. Results showed PEER participants significantly increased evenly and had very active minutes and reduced sedentary behavior during the intervention. No significant effect was found for light active minutes. Specifically, during the intervention period, PEER participants engaged in an average of 6.7% fewer sedentary minutes per day, 13.8% additional fairly active minutes per day, and 2.8% additional very active minutes per day compared to the control group. While the reduction in sedentary minutes and increase in fairly active minutes were not statistically significant, the increase in very active minutes was significant. However, our functional time-series analysis revealed these improvements diminished over the 15-week follow-up, indicating challenges in maintaining PA. In conclusion, PEER boosts PA and reduces sedentary behavior short-term, but strategies are needed to sustain these benefits. In conclusion, PEER boosts PA and reduces sedentary behavior short-term, but strategies are needed to sustain these benefits. Public health policies should emphasize technology-driven fall risk assessments, community-based prevention programs, and initiatives that promote physical activity, home safety, and chronic condition management.

摘要

跌倒是老年人受伤的主要原因。物理反馈运动计划(PEER)结合了物理反馈、认知重构和指导性练习,以降低跌倒风险。然而,其对身体活动(PA)随时间的影响尚未得到充分研究。功能时间序列分析有助于洞察行为模式和可持续性。这项初步研究评估了PEER在即刻及长期改善PA水平方面的有效性。共有64名社区居住的老年人被整群随机分为PEER组或对照组。参与者佩戴Fitbit追踪器,生成关于活动的时间序列数据。PEER组完成了一个为期8周的计划,而对照组收到了美国疾病控制与预防中心的预防跌倒宣传册。使用方差平滑样条分析(SSANOVA)对PA数据进行分析,选择该方法是因为它在对时间序列数据中的复杂非线性关系进行建模时具有灵活性,并且能够处理偏态分布和重复测量。与传统参数模型不同,SSANOVA将时间趋势分解为可解释的成分,捕捉平滑趋势和突然变化,例如在团体锻炼日发生的变化。这种能力确保了对干预效果进行稳健且细致入微的分析。结果显示,PEER参与者在干预期间平均每天久坐时间减少6.7%,相当活跃时间增加13.8%,非常活跃时间增加2.8%。与对照组相比,轻度活跃时间没有显著影响。虽然久坐时间的减少和相当活跃时间的增加在统计学上不显著,但非常活跃时间的增加是显著的。然而,我们的功能时间序列分析显示,这些改善在15周的随访中有所减少,表明在维持身体活动方面存在挑战。总之,PEER在短期内提高了身体活动水平并减少了久坐行为,但需要采取策略来维持这些益处。公共卫生政策应强调技术驱动的跌倒风险评估、基于社区的预防计划以及促进身体活动、家庭安全和慢性病管理的举措。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077e/12017781/e1a58961b686/nihms-2061926-f0001.jpg

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