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股骨近端骨折后老年人中无切点指标与常见临床检查的关联

Association of Cut-Point Free Metrics and Common Clinical Tests Among Older Adults After Proximal Femoral Fracture.

作者信息

Younesian Hananeh, Singleton David, Vereijken Beatrix, Garcia-Aymerich Judith, Rochester Lynn, Aursand Berge Martin, Engdal Monika, Buekers Joren, Koch Sarah, Helbostad Jorunn L, Alvarez Paula, Jansen Carl-Philipp, Aminian Kamiar, Paraschiv-Ionescu Anisoara, Becker Clemens, Caulfield Brian

机构信息

School of Public Health, Physiotherapy & Population Science, University College Dublin, D04 V1W8 Dublin, Ireland.

Insight Research Ireland Centre For Data Analytics, University College Dublin, D04 P7W1 Dublin, Ireland.

出版信息

Sensors (Basel). 2025 Apr 18;25(8):2557. doi: 10.3390/s25082557.

DOI:10.3390/s25082557
PMID:40285246
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12031448/
Abstract

Wearable and lightweight devices facilitate real-world physical activity (PA) assessments. MX metrics, as a cut-point-free parameter, evaluate acceleration above which the most active X minutes are accumulated. It provides insights into the intensity of PA over specific durations. This study evaluated the association of MX metrics and clinical tests in older adults recovering from proximal femoral fracture (PFF). Analyses were conducted on the PFF cohort from the baseline assessment of the Mobilise-D project using an accelerometer-based device. Participants (N = 396) were categorized into four recovery groups: acute, post-acute, extended recovery, and long-term recovery. Mobility capacity was assessed through the 6 min walking test (6MinWT), Short Physical Performance Battery (SPPB), 4-m walking test (4MWT), and hand grip (HG) strength. Mobility perception was evaluated using the Late-Life Function and Disability Instrument (LLFDI). Eight MX metrics (M1-M90) were calculated using the GGIR package in R. Results showed a moderate to strong positive correlation between M1 and M30 and lower limb mobility capacity tests and mobility perception (Lower Extremity domains) particularly in the extended and long-term recovery groups. MX metrics can be used for measuring PA intensity among older adults recovering from PFF. Hence, MX metrics have a high potential for clinical use as personalized PA targets in PFF rehabilitation.

摘要

可穿戴且轻便的设备有助于进行现实世界中的身体活动(PA)评估。MX指标作为一种无切点参数,用于评估加速度,在该加速度之上会累积最活跃的X分钟。它能深入了解特定时间段内PA的强度。本研究评估了MX指标与股骨近端骨折(PFF)康复期老年人的临床测试之间的关联。使用基于加速度计的设备,对Mobilise-D项目基线评估中的PFF队列进行了分析。参与者(N = 396)被分为四个康复组:急性、急性后、延长康复和长期康复。通过6分钟步行测试(6MinWT)、简短体能状况量表(SPPB)、4米步行测试(4MWT)和握力(HG)来评估活动能力。使用老年功能与残疾量表(LLFDI)评估活动感知。使用R语言中的GGIR软件包计算了八个MX指标(M1 - M90)。结果显示,M1和M30与下肢活动能力测试及活动感知(下肢领域)之间存在中度至强的正相关,尤其是在延长康复组和长期康复组中。MX指标可用于测量PFF康复期老年人的PA强度。因此,MX指标在PFF康复中作为个性化PA目标具有很高的临床应用潜力。

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本文引用的文献

1
Relationship Between Frequency of Physical Activity, Functional Mobility, and Self-Perceived Health in People with Different Levels of Pain: A Cross-Sectional Study.不同疼痛程度人群的身体活动频率、功能活动能力与自我感知健康之间的关系:一项横断面研究
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Connecting real-world digital mobility assessment to clinical outcomes for regulatory and clinical endorsement-the Mobilise-D study protocol.将真实世界的数字移动性评估与临床结局联系起来,以获得监管和临床认可——Mobilise-D 研究方案。
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Physical Activity in Centenarians beyond Cut-Point-Based Accelerometer Metrics.百岁老人的体力活动超出基于切点的加速度计指标。
Int J Environ Res Public Health. 2022 Sep 9;19(18):11384. doi: 10.3390/ijerph191811384.
9
Algorithms for Walking Speed Estimation Using a Lower-Back-Worn Inertial Sensor: A Cross-Validation on Speed Ranges.使用背部佩戴惯性传感器的步行速度估计算法:速度范围的交叉验证。
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Calibration and Cross-Validation of Accelerometer Cut-Points to Classify Sedentary Time and Physical Activity from Hip and Non-Dominant and Dominant Wrists in Older Adults.加速度计切点的校准和交叉验证,以对老年人髋部和非优势手腕及优势手腕的久坐时间和身体活动进行分类。
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