集成式训练对老年脑卒中患者平衡能力及抗跌倒风险的影响
The Effect of Integrated Training on Balance Ability and Anti-fall Risk in Elderly Stroke Patients
农冬晖 1玉钰 1邹小惠 1谢先乾2
作者信息
- 1. 530022 广西南宁,南宁市第一人民医院全科医学科
- 2. 530022 广西南宁,南宁市第一人民医院康复医学科
- 折叠
摘要
目的 探究集成式训练对老年脑卒中患者平衡能力及抗跌倒风险的影响.方法 选取2020年7月至2021年3月于南宁市第一人民医院收治的100例老年脑卒中患者为研究对象,并将其随机分为两组,对照组50例、实验组50例.其中,对照组选用个性化药物治疗并加入预防跌倒的指导及宣教,实验组则是在对照组的基础上实施集成式训练.对比两组的中文版Morse跌倒评估量表(Morse Fall Scale,MFS)、Berg平衡量表(Berg Balance Scale,BBS)、计时起立-步行测验(Timed Up and Go Test,TUGT)、跌倒发生率的情况变化.结果 训练后第8周、6、12个月,两组的BBS评分有所升高,MFS评分、TUGT评分有所下降,且实验组情况较对照组改善良好(P＜0.001).与对照组相比,实验组在训练12个月内跌倒发生率有所下降(P＜0.05).结论 通过集成式训练,可有助于改善老年脑卒中患者的平衡能力,降低跌倒的风险,减少跌倒发生率,以促进病情加快恢复.
Abstract
Objective Explore the impact of integrated training on balance ability and anti-fall risk in elderly stroke patients.Methods 100 elderly stroke patients admitted to Nanning First People's Hospital from July 2020 to March 2021 were selected as the research subjects,and they were randomly divided into the control group of 50 cases and the experimental group of 50 cases.Among them,the control group selected personalized medication treatment,fall prevention guidance,and education,while the experimental group implemented integrated training on the basis of the control group.We compared the changes in the Chinese versions of the Morse Fall Scale(MFS),Berg Balance Scale(BBS),Time Stand Walk Test(TUGT),and the incidence of falls between the two groups.Results After 8 weeks,6 months,and 12 months of training,the BBS scores of the two groups increased,while the MFS scores and TUGT scores decreased.The experimental group's condition improvement was better compared to the control group(P＜0.001).Compared with the control group,the incidence of falls in the experimental group decreased within 12 months of training(P＜0.05).Conclusion Integrated training can help to improve the balance ability of elderly stroke patients,reduce the risk of falls,reduce the incidence of falls,and promote faster recovery.
关键词
老年/训练/跌倒Key words
old age/train/fall引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据