虚拟现实训练对老年特发性正常压力脑积水患者平衡与步行功能的影响
Effect of virtual reality training on balance and walking in old patients with idiopathic normal pressure hydro-cephalus
梁晓笑 1郑洁皎 2吴雪娇 3陈茜 1张廷宇 1顾秋怡3
作者信息
- 1. 上海中医药大学康复医学院,上海市 201203
- 2. 上海中医药大学康复医学院,上海市 201203;复旦大学附属华东医院,上海市 200040
- 3. 上海市第一康复医院,上海市 200082
- 折叠
摘要
目的 观察虚拟现实(VR)训练对老年特发性正常压力脑积水患者平衡与步行功能的影响.方法 2022年9月至2023年7月,复旦大学附属华东医院收治的特发性正常压力脑积水患者38例,随机分为对照组(n = 19)和观察组(n = 19).两组均接受常规康复训练,观察组增加VR训练,共4周.干预前后,采用功能性伸展测试(FRT)、Berg平衡量表(BBS)、静态平衡功能测试(反应时间、移动速度、方向控制、最大偏移距离、端点行程)、计时起立-行走测试(TUGT)和双任务计时起立-行走测试(DTUGT)进行评估.结果 干预后,两组各项指标均显著改善(|t|>6.563,P<0.001);除TUGT外,其余指标观察组均优于对照组(|t|>2.038,P<0.05).结论 增加VR训练可以进一步改善特发性正常压力脑积水患者的平衡与步行功能.
Abstract
Objective To observe the effect of virtual reality(VR)training on balance and walking in old patients with idiopathic normal pressure hydrocephalus.Methods Thirty-eight patients with idiopathic normal pressure hydrocephalus were selected from Huadong Hospital Af-filiated to Fudan University from September,2022 to July,2023;and randomly divided into control group(n = 19)and observation group(n = 19).Both groups received conventional rehabilitation training,and the observa-tion group received VR training in addition,for four weeks.They were assessed with Functional Reaching Test(FRT),Berg Balance Scale(BBS),static balance function test(reaction time,movement speed,directional con-trol,maximal offset distance and endpoint travel),Timed Up and Go Test(TUGT)and Dual-task Timed Up and Go Test(DTUGT)before and after intervention.Results All the parameters improved in both groups after intervention(|t|>6.563,P<0.001),and they were better in the observation group than in the control group(|t|>2.038,P<0.05),except TUGT.Conclusion The combination of VR training can further improve balance and walking in patients with idiopathic normal pressure hydrocephalus.
关键词
特发性正常压力脑积水/平衡/步行/虚拟现实Key words
idiopathic normal pressure hydrocephalus/balance/walking/virtual reality引用本文复制引用
基金项目
上海市科委科技创新行动计划(22Y31900200)
上海市康复医学会"康复科技创新行动计划"项目(2023KJCX022)
出版年
2024
国家科技期刊平台
NSTL
万方数据