智能化交互式认知运动干预在老年人跌倒预防中应用的范围综述

doi:10.3761/j.issn.0254-1769.2025.07.019

摘要/Abstract

摘要：

目的对智能化交互式认知运动干预在老年人跌倒预防中的干预方案设计及应用状况进行范围综述，为该领域的后续研究提供参考。方法根据范围综述框架，系统检索PubMed、Web of Science、Embase、Cochrane Library、CINAHL、Scopus、IEEE Xplore、中国生物医学文献数据库、中国知网、万方数据库、维普数据库等，检索时限为建库至2024年9月17日，对纳入研究进行分析和总结。结果共纳入19篇文献。其中虚拟现实、商业游戏、计算机触摸感应、可穿戴设备、红外线感应为主要的智能化交互式技术，通常以基础认知能力训练、高级认知功能训练、空间认知训练、综合应用训练等结合平衡和协调、步态与力量、上下楼梯、避障等功能性活动训练进行干预。评估指标包括平衡和步态、跌倒风险和自我效能、生理指标、肌力、姿势稳定性、身体功能综合评估，以及可行性和安全性评估。结论智能化交互式认知干预运动在老年人中安全可行，可改善老年人平衡能力，降低跌倒的风险。

关键词: 交互式认知运动, 运动干预, 跌倒预防, 老年人, 护理

Abstract:

Objective To conduct a scoping review of the intervention design and application status of intelligent interactive cognitive-motor training（IICMT） in fall prevention among older adults，providing references for subsequent research in this field. Methods Following the scoping review framework，systematic searches were conducted in PubMed，Web of Science，Embase，Cochrane Library，CINAHL，Scopus，IEEE Xplore，Chinese Biomedical Literature Database，CNKI，Wanfang Database，and VIP Database from their inception to September 17，2024. The included studies were analyzed and summarized. Results A total of 19 articles were included. The main intelligent interactive technologies included virtual reality，commercial games，computer touch sensing，wearable devices，and infrared sensing，typically combining basic cognitive ability training，advanced cognitive function training，spatial cognitive training，and comprehensive application training with functional activity training such as balance and coordination，gait and strength，stair climbing，and obstacle avoidance. Assessment indicators included balance and gait，fall risk and self-efficacy，physiological indicators，muscle strength，postural stability，physical function，as well as feasibility and safety assessments. Conclusion IICMT is safe and feasible among older adults，and can improve balance and fall efficacy，reducing the risk of falls.

Key words: Interactive Cognitive-Motor Training, Exercise Intervention, Fall Prevention, Aged, Nursing Care

何梦欣, 陈德凤, 李蓓, 董旭辉, 李佳宝, 杨扬, 徐要凯, 梁悦语. 智能化交互式认知运动干预在老年人跌倒预防中应用的范围综述[J]. 中华护理杂志, 2025, 60(7): 884-889.

HE Mengxin, CHEN Defeng, LI Bei, DONG Xuhui, LI Jiabao, YANG Yang, XU Yaokai, LIANG Yueyu. Intelligent interactive cognitive-motor training for fall prevention in older adults：a scoping review[J]. Chinese Journal of Nursing, 2025, 60(7): 884-889.

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参考文献 29

[1]	Montero-Odasso M, Van Der Velde N, Martin FC, et al. World guidelines for falls prevention and management for older adults:a global initiative[J]. Age Ageing, 2023, 51(9):afac205.
[2]	苏清清, 宋咪, 高玲, 等. 机器学习在老年人跌倒风险管理中的研究进展[J]. 中国实用护理杂志, 2023, 39(29):2311-2316.
	Su QQ, Song M, Gao L, et al. Research progress of machine learning in fall risk management of the elderly[J]. Chin J Pract Nurs, 2023, 39(29):2311-2316.
[3]	张雨欣, 张开利. 老年人恐惧跌倒相关性活动限制的研究进展[J]. 中华护理杂志, 2023, 58(1):112-116. DOI URL
	Zhang YX, Zhang KL. Research progress in fear of falling-related activity restriction in older adults[J]. Chin J Nurs, 2023, 58(1):112-116.
[4]	Chan PT, Chang WC, Chiu HL, et al. Effect of interactive cog-nitive-motor training on eye-hand coordination and cognitive function in older adults[J]. BMC Geriatr, 2019, 19(1):27.
[5]	Ali N, Tian H, Thabane L, et al. The effects of dual-task train-ing on cognitive and physical functions in older adults with cognitive impairment:a systematic review and meta-analysis[J]. J Prev Alzheimers Dis, 2022, 9(2):359-370. DOI PMID
[6]	王文玉, 乔晓霞, 司华新, 等. 社区可逆认知衰弱老年人运动联合认知干预方案的构建[J]. 中华护理杂志, 2022, 57(19):2392-2397. DOI URL
	Wang WY, Qiao XX, Si HX, et al. Construction of joint cogni-tive intervention program for the elderly with reversible cognitive decline in community[J]. Chin J Nurs, 2022, 57(19):2392-2397.
[7]	Forbes G, Massie S, Craw S. Fall prediction using behavioural modelling from sensor data in smart homes[J]. Artif Intell Rev, 2020, 53(2):1071-1091.
[8]	Arksey H, O’Malley L. Scoping studies:towards a methodologi-cal framework[J]. Int J Soc Res Methodol, 2005, 8(1):19-32.
[9]	JBI. JBI manual for evidence synthesis[EB/OL].[2025-01-02]. https://jbi-global.atlassian.net/wiki/spaces/MANUAL/overview.
[10]	Sadeghi H, Jehu DA, Daneshjoo A, et al. Effects of 8 weeks of balance training,virtual reality training,and combined exercise on lower limb muscle strength,balance,and functional mobility among older men:a randomized controlled trial[J]. Sports Health, 2021, 13(6):606-612.
[11]	胡艳群, 李斌, 王蛟颜, 等. 短期虚拟现实康复训练联合认知干预对老年脑卒中偏瘫患者运动功能、Lovett肌力分级及生存质量的影响分析[J]. 中国医学前沿杂志(电子版), 2018, 10(8):97-101.
	Hu YQ, Li B, Wang JY, et al. Effect of short-term virtual reality rehabilitation training combined with cognitive intervention on motor function,Lovett muscle strength grade and quality of life in elderly stroke patients with hemiplegia[J]. Chin J Front Med Sci(Ele Ver), 2018, 10(8):97-101.
[12]	孟九菊, 徐小丹, 张华, 等. 虚拟情景互动训练对老年人跌倒风险的干预效果研究[J]. 中国康复, 2020, 35(1):43-46.
	Meng JJ, Xu XD, Zhang H, et al. Effect of virtual situational interactive training system on reduction of falling risk of older adults[J]. Chin J Rehabil, 2020, 35(1):43-46.
[13]	Sturnieks DL, Menant J, Valenzuela M, et al. Effect of cogni-tive-only and cognitive-motor training on preventing falls in community-dwelling older people:protocol for the smart±step randomised controlled trial[J]. BMJ Open, 2019, 9(8):e029409.
[14]	Schoene D, Valenzuela T, Toson B, et al. Interactive cognitive-motor step training improves cognitive risk factors of falling in older adults:a randomized controlled trial[J]. PLoS One, 2015, 10(12):e0145161.
[15]	Kao CC, Chiu HL, Liu D, et al. Effect of interactive cognitive motor training on gait and balance among older adults:a randomized controlled trial[J]. Int J Nurs Stud, 2018, 82:121-128.
[16]	Hassett L, van den Berg M, Lindley RI, et al. Digitally ena-bled aged care and neurological rehabilitation to enhance outcomes with Activity and MObility UsiNg Technology (AMOUNT) in Australia:a randomised controlled trial[J]. PLoS Med, 2020, 17(2):e1003029.
[17]	Gomes GCV, do Socorro Simões M, Lin SM, et al. Feasibility,safety,acceptability,and functional outcomes of playing Nin-tendo Wii Fit PlusTM for frail older adults:a randomized feasibility clinical trial[J]. Maturitas, 2018, 118:20-28.
[18]	de Rooij IJM, van de Port IGL, Punt M, et al. Effect of vir-tual reality gait training on participation in survivors of subacute stroke:a randomized controlled trial[J]. Phys Ther, 2021, 101(5):pzab051.
[19]	Callisaya ML, Jayakody O, Vaidya A, et al. A novel cognitive-motor exercise program delivered via a tablet to improve mobility in older people with cognitive impairment-Stand-ingTall Cognition and Mobility[J]. Exp Gerontol, 2021, 152:111434.
[20]	Bagheri H, Khanmohammadi R, Olyaei G, et al. Video game and motor-cognitive dual-task training could be suitable treatments to improve dual-task interference in older adults[J]. Neurosci Lett, 2021, 760:136099.
[21]	Yun SJ, Hyun SE, Oh BM, et al. Fully immersive virtual rea-lity exergames with dual-task components for patients with Parkinson’s disease:a feasibility study[J]. J Neuroeng Reha-bil, 2023, 20(1):92.
[22]	Mesbah N, Perry M, Hill KD, et al. The experiences of older adults with dementia of “Balance Wise”:an individual or group-delivered exercise programme:a qualitative study[J]. Disabili-ties, 2023, 4(1):11-26.
[23]	Kim Y, Chae M, Yang H. Simultaneous cognitive-physical dual task training based on fairy tales in older adults with mild cognitive impairment:a pilot study[J]. Geriatr Nurs, 2021, 42(5):1156-1163.
[24]	Jhaveri S, Romanyk M, Glatt R, et al. Smartfit dual-task exer-cise improves cognition and physical function in older adults with mild cognitive impairment:results of a community-based pilot study[J]. J Aging Phys Act, 2023, 31(4):621-632.
[25]	Bajdek N, Latham NK, Dishaw M, et al. Feasibility of a multi-component digital fall prevention exercise intervention for at-risk older adults[J]. J Frailty Aging, 2024, 13(4):349-358.
[26]	Subramaniam S, Wan-Ying Hui-Chan C, Bhatt T. A cognitive-balance control training paradigm using wii fit to reduce fall risk in chronic stroke survivors[J]. J Neurol Phys Ther, 2014, 38(4):216-225. DOI PMID
[27]	Zhang LH, Guo JW, Zhang J, et al. Interactive cognitive motor training:a promising approach for sustainable improvement of balance in older adults[J]. Sustainability, 2023, 15(18):13407.
[28]	Bajraktari S, Zingmark M, Pettersson B, et al. Reaching older people with a digital fall prevention intervention in a swe-dish municipality context-an observational study[J]. Front Public Health, 2022, 10:857652.
[29]	张雪, 蔡燕, 王聪, 等. 认知-运动双任务训练在预防老年人跌倒中的研究进展[J]. 中华护理杂志, 2025, 60(3):297-302.
	Zhang X, Cai Y, Wang C, et al. Research progress on cogni-tive-motor dual-task training for preventing falls in older adults[J]. Chin J Nurs, 2025, 60(3):297-302.