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数字设备引起的“学习效应”是否会夸大运动视觉训练效果?一项系统综述和荟萃分析。

Does the "learning effect" caused by digital devices exaggerate sports visual training outcomes? A systematic review and meta-analysis.

作者信息

Guo Yuqiang, Yuan Tinggang, Yang Mulin, Qiu Jinyu

机构信息

Science Research Center of Sports Training, China Institute of Sport Science, Beijing, China.

School of Physical Education, Shanghai University of Sport, Shanghai, China.

出版信息

Front Physiol. 2025 Sep 5;16:1664572. doi: 10.3389/fphys.2025.1664572. eCollection 2025.

Abstract

OBJECTIVE

Digital-based visual training (VT) is widely employed to improve visual-cognitive performance, yet its efficacy may be confounded by the "learning effect".

METHODS

A systematic literature search was conducted across PubMed, Web of Science, MEDLINE, SPORTDiscus, and Cochrane Library, covering all studies published up to 8 May 2025. The search was limited to peer-reviewed articles written in English. Only randomized controlled trials (RCTs) that included both baseline and post-intervention measures of visual-cognitive performance were eligible. Subgroup analysis was conducted based on the presence or absence of task similarity between training and testing conditions, to assess potential bias introduced by the "learning effect".

RESULTS

The search identified 3,798 articles, of which 33 RCTs involving 1,048 participants met the inclusion criteria for meta-analysis. VT was found to significantly improve visual attention, reaction time, decision-making time, decision-making accuracy, and eye-hand coordination. Subgroup analyses revealed that studies classified as "learning effect present" (LE+) consistently reported substantially larger effect sizes than those without (LE-). Significant between-group differences were observed for visual attention (SMD = 1.65 vs. 0.07; = 0.00), reaction time (SMD = 2.66 vs. 0.50; = 0.00), and decision-making accuracy (SMD = 1.46 vs. 0.62; = 0.03), indicating that task similarity may artificially inflate performance outcomes.

CONCLUSION

These findings indicate that observed improvements may reflect task familiarity rather than true cognitive enhancement. To improve evaluation validity, future studies should avoid task redundancy, incorporate retention testing, and adopt structurally distinct outcome measures.

摘要

目的

基于数字的视觉训练(VT)被广泛用于提高视觉认知表现,但其效果可能会被“学习效应”混淆。

方法

在PubMed、科学网、MEDLINE、SPORTDiscus和Cochrane图书馆进行了系统的文献检索,涵盖截至2025年5月8日发表的所有研究。检索仅限于用英文撰写的同行评审文章。只有那些包括视觉认知表现的基线和干预后测量的随机对照试验(RCT)才有资格入选。根据训练和测试条件之间是否存在任务相似性进行亚组分析,以评估“学习效应”引入的潜在偏差。

结果

检索到3798篇文章,其中33项涉及1048名参与者的RCT符合荟萃分析的纳入标准。发现VT能显著提高视觉注意力、反应时间、决策时间、决策准确性和眼手协调能力。亚组分析显示,被归类为“存在学习效应”(LE+)的研究始终报告的效应量比没有(LE-)的研究大得多。在视觉注意力(标准化均数差[SMD]=1.65对0.07;P=0.00)、反应时间(SMD=2.66对0.50;P=0.00)和决策准确性(SMD=1.46对0.62;P=0.03)方面观察到显著的组间差异,表明任务相似性可能会人为夸大表现结果。

结论

这些发现表明,观察到的改善可能反映了任务熟悉度而非真正的认知增强。为了提高评估效度,未来的研究应避免任务冗余,纳入留存测试,并采用结构上不同的结果测量方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aa7/12446229/ad889a550707/fphys-16-1664572-g001.jpg

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