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脊髓灰质炎后遗症患者的跌倒:患病率及危险因素

Falls in Post-Polio Patients: Prevalence and Risk Factors.

作者信息

Ofran Yonah, Schwartz Isabella, Shabat Sheer, Seyres Martin, Karniel Naama, Portnoy Sigal

机构信息

Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91905, Israel.

Department of Physical Medicine & Rehabilitation, Hadassah University Hospital, Jerusalem 9765418, Israel.

出版信息

Biology (Basel). 2021 Oct 28;10(11):1110. doi: 10.3390/biology10111110.

DOI:10.3390/biology10111110
PMID:34827103
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8614826/
Abstract

UNLABELLED

Individuals with post-polio syndrome (PPS) suffer from falls and secondary damage.

AIM

To (i) analyze the correlation between spatio-temporal gait data and fall measures (fear and frequency of falls) and to (ii) test whether the gait parameters are predictors of fall measures in PPS patients.

METHODS

Spatio-temporal gait data of 50 individuals with PPS (25 males; age 65.9 ± 8.0) were acquired during gait and while performing the Timed Up-and-Go test. Subjects filled the Activities-specific Balance Confidence Scale (ABC Scale) and reported number of falls during the past year.

RESULTS

ABC scores and number of falls correlated with the Timed Up-and-Go, and gait cadence and velocity. The number of falls also correlated with the swing duration symmetry index and the step length variability. Four gait variability parameters explained 33.2% of the variance of the report of falls ( = 0.006). The gait velocity was the best predictor of the ABC score and explained 24.8% of its variance ( = 0.001).

CONCLUSION

Gait variability, easily measured by wearables or pressure-sensing mats, is an important predictor of falls in PPS population. Therefore, gait variability might be an efficient tool before devising a patient-specific fall prevention program for the PPS patient.

摘要

未标注

患有小儿麻痹后遗症(PPS)的个体容易跌倒并遭受继发性损伤。

目的

(i)分析时空步态数据与跌倒指标(对跌倒的恐惧和跌倒频率)之间的相关性,以及(ii)测试步态参数是否为PPS患者跌倒指标的预测因素。

方法

在步态期间以及进行定时起立行走测试时,采集了50名PPS患者(25名男性;年龄65.9±8.0岁)的时空步态数据。受试者填写特定活动平衡信心量表(ABC量表)并报告过去一年中的跌倒次数。

结果

ABC评分和跌倒次数与定时起立行走测试、步态节奏和速度相关。跌倒次数还与摆动持续时间对称指数和步长变异性相关。四个步态变异性参数解释了跌倒报告方差的33.2%(P = 0.006)。步态速度是ABC评分的最佳预测因素,解释了其方差的24.8%(P = 0.001)。

结论

可通过可穿戴设备或压力感应垫轻松测量的步态变异性,是PPS人群跌倒的重要预测因素。因此,在为PPS患者制定个性化的跌倒预防计划之前,步态变异性可能是一种有效的工具。

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J Rehabil Med Clin Commun. 2020 Feb 27;3:1000023. doi: 10.2340/20030711-1000023. eCollection 2020.
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Abnormal Gait Detection Using Wearable Hall-Effect Sensors.使用可穿戴霍尔效应传感器进行异常步态检测。
Sensors (Basel). 2021 Feb 9;21(4):1206. doi: 10.3390/s21041206.
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Smartphone Monitoring of Gait and Balance During Irregular Surface Walking and Obstacle Crossing.不规则路面行走和跨越障碍物时步态与平衡的智能手机监测
Front Sports Act Living. 2020 Nov 27;2:560577. doi: 10.3389/fspor.2020.560577. eCollection 2020.
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Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment.基于电纺纤维的可穿戴袜子的设计与验证及其在远程步态和姿势评估中的应用。
Sensors (Basel). 2020 Nov 23;20(22):6691. doi: 10.3390/s20226691.
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Wearable Inertial Measurement Units for Assessing Gait in Real-World Environments.用于在现实环境中评估步态的可穿戴惯性测量单元。
Front Physiol. 2020 Feb 20;11:90. doi: 10.3389/fphys.2020.00090. eCollection 2020.
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