COGNIPLAT游戏平台对轻度认知障碍老年人进行认知训练的可行性和效果:试点随机对照试验。

IF 2.2 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Games for Health Journal Pub Date : 2023-10-01 Epub Date: 2023-06-05 DOI:10.1089/g4h.2023.0029
Christos Goumopoulos, Georgios Skikos, Maria Frounta
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引用次数: 1

摘要

本研究考察了一种新的多领域多模式认知训练游戏平台COGNIPLAT在改善轻度认知障碍(MCI)老年人认知表现方面的有效性。该平台结合了标准的严肃游戏和利用虚拟和增强现实技术的认知刺激。对21名MCI谱中的老年参与者进行了一项双臂、评估者盲法随机对照试验,其中11人在干预组(INT),10人在对照组(CTL)。从依从性、有效学习和感知有用性方面评估了可行性。INT参加了24次训练,每次60分钟,每周两次,而CTL则进行正常的日常活动和日常护理。结果显示,INT在蒙特利尔认知评估得分、雷伊听觉言语学习测试(RAVLT)的列表B回忆、短期延迟回忆和长期延迟回忆阶段、追踪测试a和B测试得分、数字跨度测试(DST)前向跨度和功能活动问卷得分方面有统计学显著变化。RAVLT识别和DST后向跨度也存在趋势水平差异。CTL在任何指标中均未发现显著差异。INT的完成率为91%,完成研究后续部分的参与者的出勤率为100%。参与者的参与度很高,并观察到他们之间的有效学习。游戏平台的可用性和有用性被评估为很高。这项研究提供了证据,证明基于多领域多模式的认知训练计划对患有MCI的老年人有积极影响,通过在不同领域诱导更多的合作转移效应,对认知有更广泛的益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feasibility and Effects of Cognitive Training with the COGNIPLAT Game Platform in Elderly with Mild Cognitive Impairment: Pilot Randomized Controlled Trial.

This study examines the effectiveness of a new multi-domain multimodal cognitive training game platform, COGNIPLAT, in improving cognitive performance in elderly with mild cognitive impairment (MCI). The platform combines standard serious games and cognitive stimulation leveraging virtual and augmented reality technologies. A double-arm, evaluator-blinded randomized controlled trial was conducted with 21 elderly participants in the MCI spectrum, with 11 in the intervention group (INT) and 10 in the control group (CTL). Feasibility was assessed in terms of adherence, effective learning, and perceived usefulness. The INT attended 24 training sessions, 60 minutes long, twice a week, whereas the CTL engaged in normal daily activities and usual care. Results showed that the INT had a statistically significant change in the Montreal Cognitive Assessment score, stages List B Recall, Short-term delayed Recall, and Long-term delayed Recall of the Rey Auditory Verbal Learning Test (RAVLT), Trail Making Test-A and B test scores, Digit Span Test (DST) Forward Span, and Functional Activities Questionnaire score. A trend level difference was also found for the RAVLT Recognition and the DST Backward Span. No significant differences were found for the CTL in any of the metrics. The completion rate of the INT was 91%, and the attendance rate was 100% for participants who completed the follow-up segment of the study. The engagement level was high, and effective learning was observed between the participants. The perceived usability and usefulness of the game platform was assessed as high. This study provides evidence of a positive effect of a multi-domain multimodal-based cognitive training program in elderly with MCI, with broader benefits on cognition by inducing more cooperative transfer effects over different domains.

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来源期刊
CiteScore
6.70
自引率
11.40%
发文量
56
期刊介绍: Games for Health Journal is the first peer-reviewed journal dedicated to advancing the impact of game research, technologies, and applications on human health and well-being. This ground-breaking publication delivers original research that directly impacts this emerging, widely-recognized, and increasingly adopted area of healthcare. Games are rapidly becoming an important tool for improving health behaviors ranging from healthy lifestyle habits and behavior modification, to self-management of illness and chronic conditions to motivating and supporting physical activity. Games are also increasingly used to train healthcare professionals in methods for diagnosis, medical procedures, patient monitoring, as well as for responding to epidemics and natural disasters. Games for Health Journal is a must for anyone interested in the research and design of health games that integrate well-tested, evidence-based behavioral health strategies to help improve health behaviors and to support the delivery of care. Games for Health Journal coverage includes: -Nutrition, weight management, obesity -Disease prevention, self-management, and adherence -Cognitive, mental, emotional, and behavioral health -Games in home-to-clinic telehealth systems
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