• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

帕金森病患者在跨越障碍物时压力中心测量值在跌倒风险预测中的效用。

Utility of center of pressure measures during obstacle crossing in prediction of fall risk in people with Parkinson's disease.

作者信息

Conceição Núbia Ribeiro da, Nóbrega de Sousa Priscila, Pereira Marcelo Pinto, Gobbi Lilian Teresa Bucken, Vitório Rodrigo

机构信息

São Paulo State University (Unesp), Institute of Biosciences, Rio Claro, Brazil.

São Paulo State University (Unesp), Institute of Biosciences, Rio Claro, Brazil.

出版信息

Hum Mov Sci. 2019 Aug;66:1-8. doi: 10.1016/j.humov.2019.03.010. Epub 2019 Mar 16.

DOI:10.1016/j.humov.2019.03.010
PMID:30889495
Abstract

INTRODUCTION

Postural instability during walking and tripping over obstacles are the main causes of falls in people with Parkinson's disease (PD). Preliminary limited evidence suggests that the length of the prospective follow-up period affects falls prediction in PD, with shorter periods leading to more accurate prediction. Thus, the primary aim of the present study was to test the performance of center of pressure (CoP) variables during obstacle crossing to predict fall risk in people with PD during subsequent periods of four, six, and 12 months. We also compared CoP variables during obstacle crossing between fallers and non-fallers.

METHODS

Forty-two individuals with PD, in mild to moderate stages, completed the baseline obstacle crossing assessment and reported falls for 12 months. Participants walked at their self-selected pace and were instructed to cross an obstacle (half knee height) positioned in the middle of an 8-m long pathway. A force platform was used to analyze CoP parameters of the stance phase of the trailing limb (most affected limb). The ability of each outcome measure to predict fall risk at four, six, and 12 months was assessed using receiver operating characteristic curve analyses.

RESULTS

Ten individuals (23.8%) were considered fallers at four months, twelve individuals (28.5%) at six months, and twenty-one individuals (50%) at 12 months. CoP amplitude and CoP velocity in the mediolateral direction significantly predicted fall risk at four, six, and 12 months. As judged by the area under the curve, mediolateral CoP velocity showed the best performance at four months, while mediolateral CoP amplitude showed the best performance at six months. Fallers presented greater values of mediolateral CoP velocity and amplitude than non-fallers.

CONCLUSION

These findings suggest that mediolateral CoP velocity and amplitude during obstacle crossing might be useful to predict fall risk in people with PD. Therefore, larger studies are encouraged.

摘要

引言

行走时的姿势不稳和绊倒在障碍物上是帕金森病(PD)患者跌倒的主要原因。初步有限的证据表明,前瞻性随访期的长短会影响PD患者跌倒的预测,随访期较短时预测更准确。因此,本研究的主要目的是测试在跨越障碍物期间压力中心(CoP)变量的表现,以预测PD患者在随后4个月、6个月和12个月期间的跌倒风险。我们还比较了跌倒者和未跌倒者在跨越障碍物期间的CoP变量。

方法

42名轻度至中度PD患者完成了基线障碍物跨越评估,并报告了12个月内的跌倒情况。参与者以自己选择的速度行走,并被指示跨过位于8米长路径中间的一个障碍物(半膝高)。使用测力平台分析后肢(受影响最严重的肢体)站立期的CoP参数。使用受试者工作特征曲线分析评估每个结果指标预测4个月、6个月和12个月跌倒风险的能力。

结果

4个月时有10名个体(23.8%)被认为是跌倒者,6个月时有12名个体(28.5%),12个月时有21名个体(50%)。CoP在内外侧方向的幅度和速度在4个月、6个月和12个月时显著预测了跌倒风险。根据曲线下面积判断,内外侧CoP速度在4个月时表现最佳,而内外侧CoP幅度在6个月时表现最佳。跌倒者的内外侧CoP速度和幅度值高于未跌倒者。

结论

这些发现表明,跨越障碍物期间的内外侧CoP速度和幅度可能有助于预测PD患者的跌倒风险。因此,鼓励开展更大规模的研究。

相似文献

1
Utility of center of pressure measures during obstacle crossing in prediction of fall risk in people with Parkinson's disease.帕金森病患者在跨越障碍物时压力中心测量值在跌倒风险预测中的效用。
Hum Mov Sci. 2019 Aug;66:1-8. doi: 10.1016/j.humov.2019.03.010. Epub 2019 Mar 16.
2
Center of pressure responses to unpredictable external perturbations indicate low accuracy in predicting fall risk in people with Parkinson's disease.对不可预测的外部干扰的压力中心反应表明,预测帕金森病患者跌倒风险的准确性较低。
Eur J Neurosci. 2021 Apr;53(8):2901-2911. doi: 10.1111/ejn.15143. Epub 2021 Feb 23.
3
Fallers with Parkinson's disease exhibit restrictive trunk control during walking.帕金森病患者在行走时表现出躯干控制受限。
Gait Posture. 2018 Sep;65:246-250. doi: 10.1016/j.gaitpost.2018.07.181. Epub 2018 Aug 3.
4
Gait & Posture Special Issue: Gait adaptations in response to obstacle type in fallers with Parkinson's disease.《步态与姿势》特刊:帕金森病患者跌倒者对障碍物类型的步态适应性
Gait Posture. 2018 Mar;61:368-374. doi: 10.1016/j.gaitpost.2018.01.030. Epub 2018 Jan 31.
5
Obstacle crossing in Parkinson's disease: mediolateral sway of the centre of mass during level-ground walking and obstacle crossing.帕金森病中的障碍物穿越:平地行走和障碍物穿越时质心的侧向摆动。
Gait Posture. 2013 Sep;38(4):790-4. doi: 10.1016/j.gaitpost.2013.03.024. Epub 2013 May 4.
6
Utility of an obstacle-crossing test to classify future fallers and non-fallers at hospital discharge after stroke: A pilot study.脑卒中出院后障碍穿越测试对未来跌倒者和非跌倒者分类的效用:一项初步研究。
Gait Posture. 2022 Jul;96:179-184. doi: 10.1016/j.gaitpost.2022.05.037. Epub 2022 May 31.
7
A prospective study of laboratory and clinical measures of postural stability to predict community-dwelling fallers.一项关于姿势稳定性的实验室和临床测量指标以预测社区居住者跌倒情况的前瞻性研究。
J Gerontol A Biol Sci Med Sci. 2000 Aug;55(8):M469-76. doi: 10.1093/gerona/55.8.m469.
8
Elderly fall risk prediction using static posturography.使用静态姿势描记法预测老年人跌倒风险。
PLoS One. 2017 Feb 21;12(2):e0172398. doi: 10.1371/journal.pone.0172398. eCollection 2017.
9
Motor dual-tasking deficits predict falls in Parkinson's disease: A prospective study.运动双重任务缺陷可预测帕金森病患者的跌倒:一项前瞻性研究。
Parkinsonism Relat Disord. 2016 May;26:73-7. doi: 10.1016/j.parkreldis.2016.03.007. Epub 2016 Mar 14.
10
Force platform balance measures as predictors of indoor and outdoor falls in community-dwelling women aged 63-76 years.力平台平衡测量作为63 - 76岁社区居住女性室内和室外跌倒的预测指标。
J Gerontol A Biol Sci Med Sci. 2008 Feb;63(2):171-8. doi: 10.1093/gerona/63.2.171.

引用本文的文献

1
Sway frequencies may predict postural instability in Parkinson's disease: a novel convolutional neural network approach.摇摆频率可能预测帕金森病的姿势不稳:一种新型卷积神经网络方法。
J Neuroeng Rehabil. 2025 Feb 18;22(1):29. doi: 10.1186/s12984-025-01570-7.
2
Enhancing fall risk assessment: instrumenting vision with deep learning during walks.增强跌倒风险评估:在行走过程中使用深度学习为视觉赋能。
J Neuroeng Rehabil. 2024 Jun 22;21(1):106. doi: 10.1186/s12984-024-01400-2.
3
Distinguishing features of Parkinson's disease fallers based on wireless insole plantar pressure monitoring.
基于无线鞋垫足底压力监测的帕金森病跌倒者的特征识别
NPJ Parkinsons Dis. 2024 Mar 19;10(1):67. doi: 10.1038/s41531-024-00678-2.
4
Combination of Clinical and Gait Measures to Classify Fallers and Non-Fallers in Parkinson's Disease.临床与步态测量相结合对帕金森病跌倒者和非跌倒者进行分类。
Sensors (Basel). 2023 May 11;23(10):4651. doi: 10.3390/s23104651.
5
Cutoff Point of Mini-Balance Evaluation Systems Test Scores for Elderly Estimated by Center of Pressure Measurements by Linear Regression and Decision Tree Classification.通过线性回归和决策树分类的压力中心测量法估计老年人迷你平衡评估系统测试分数的截断点。
Life (Basel). 2022 Dec 17;12(12):2133. doi: 10.3390/life12122133.
6
Should we use both clinical and mobility measures to identify fallers in Parkinson's disease?我们是否应该同时使用临床和活动能力测量来识别帕金森病患者的跌倒者?
Parkinsonism Relat Disord. 2023 Jan;106:105235. doi: 10.1016/j.parkreldis.2022.105235. Epub 2022 Dec 7.
7
Visual Perturbation Suggests Increased Effort to Maintain Balance in Early Stages of Parkinson's to be an Effect of Age Rather Than Disease.视觉干扰表明,帕金森病早期为维持平衡而增加的努力是年龄而非疾病的影响。
Front Hum Neurosci. 2022 Mar 2;16:762380. doi: 10.3389/fnhum.2022.762380. eCollection 2022.
8
Postural Adjustments and Biomechanics During Gait Initiation and Obstacle Negotiation: A Comparison Between Akinetic-Rigid and Hyperkinetic Parkinson's Disease.步态起始和越过障碍物过程中的姿势调整与生物力学:运动不能-强直型和运动增多型帕金森病的比较
Front Physiol. 2021 Nov 4;12:723628. doi: 10.3389/fphys.2021.723628. eCollection 2021.
9
Assessment of Risk Factors for Falls among Patients with Parkinson's Disease.帕金森病患者跌倒风险因素评估。
Biomed Res Int. 2021 Sep 28;2021:5531331. doi: 10.1155/2021/5531331. eCollection 2021.
10
Biomechanical control of paretic lower limb during imposed weight transfer in individuals post-stroke.脑卒中后患者在施加体重转移时的瘫痪下肢的生物力学控制。
J Neuroeng Rehabil. 2020 Oct 27;17(1):140. doi: 10.1186/s12984-020-00768-1.