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针对老年人和神经疾病患者的认知计算机化训练:训练量和训练方式重要吗?一项伞状Meta回归分析。

Cognitive Computerized Training for Older Adults and Patients with Neurological Disorders: Do the Amount and Training Modality Count? An Umbrella Meta-Regression Analysis.

作者信息

Bonnechère Bruno, Klass Malgorzata

机构信息

REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, Diepenbeek, Belgium.

Technology-Supported and Data-Driven Rehabilitation, Data Sciences Institute, Hasselt University, Diepenbeek, Belgium.

出版信息

Games Health J. 2023 Apr;12(2):100-117. doi: 10.1089/g4h.2022.0120. Epub 2023 Feb 10.

Abstract

Numerous applications have been created to train cognition and challenge the brain, a process known as computerized cognitive training (CCT). Despite potential positive results, important questions remain unresolved: the appropriate training duration, the efficacy of CCT depending on its type (commercial or developed in-house for the rehabilitation of specific patients) and delivery mode (at-home or on-site), and the patients most likely to benefit such intervention. This study aims to perform an umbrella meta-analysis and meta-regression to determine if the type of CCT, the delivery mode, the amount of training, and participants' age at inclusion influence the improvement of the cognitive function. To do so, we performed a umbrella meta-analysis. One hundred studies were included in this analysis representing 6407 participants. Statistical improvements were found for the different conditions after the training. We do not find statistical difference between the type of intervention or the delivery mode. No dose-response relationship between the total amount of training and the improvement of cognitive functions was found. CCT is effective in improving cognitive function in patients suffering from neurological conditions and in healthy aging. There is therefore an urgent need for health care systems to recognize its therapeutic potential and to evaluate at a larger scale their integration into the clinical pipeline as preventive and rehabilitation tool.

摘要

已经创建了许多应用程序来训练认知能力并挑战大脑,这一过程称为计算机化认知训练(CCT)。尽管可能会有积极的结果,但重要的问题仍未得到解决:合适的训练时长、CCT 的疗效(取决于其类型,即商业型或为特定患者康复而内部开发的)以及交付模式(在家或在现场),以及最可能从这种干预中受益的患者。本研究旨在进行一项汇总荟萃分析和荟萃回归,以确定CCT的类型、交付模式、训练量以及纳入时参与者的年龄是否会影响认知功能的改善。为此,我们进行了一项汇总荟萃分析。该分析纳入了100项研究,代表6407名参与者。训练后在不同条件下发现了统计学上的改善。我们未发现干预类型或交付模式之间存在统计学差异。未发现训练总量与认知功能改善之间存在剂量反应关系。CCT对患有神经疾病的患者和健康老龄化人群的认知功能改善有效。因此,医疗保健系统迫切需要认识到其治疗潜力,并更大规模地评估将其作为预防和康复工具纳入临床流程的情况。

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