Comparison of working memory performance in athletes and non-athletes : a meta-analysis of behavioural studies
Wu, C., Zhang, C., Li, X., Ye, C., & Astikainen, P. (2024). Comparison of working memory performance in athletes and non-athletes : a meta-analysis of behavioural studies. Memory, Early online. https://doi.org/10.1080/09658211.2024.2423812
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MemoryDate
2024Copyright
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
The relationship between sports expertise and working memory (WM) has garnered increasing attention in experimental research. However, no meta-analysis has compared WM performance between athletes and non-athletes. This study addresses this gap by comparing WM performance between these groups and investigating potential moderators. A comprehensive literature search identified 21 studies involving 1455 participants from seven databases, including PubMed, Embase, and ProQuest. Athletes primarily engaged in basketball, football, and fencing, while non-athletes included some identified as sedentary. The risk of bias assessment indicated low risk across most domains. Publication bias, assessed through a funnel plot and statistical tests, showed no significant evidence of bias. The forest plot, using a random effects model, revealed moderate heterogeneity. The overall effect size indicated a statistically significant, albeit small, advantage for athletes over non-athletes (Hedges’ g = 0.30), persisting across sports types and performance levels. Notably, this advantage was more pronounced when athletes were contrasted with a sedentary population (Hedges’ g = 0.63), compared to the analysis where the sedentary population was excluded from the non-athlete reference group (Hedges’ g = 0.15). Our findings indicate a consistent link between sports expertise and improved WM performance, while sedentary lifestyles appear to be associated with WM disadvantages.
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https://converis.jyu.fi/converis/portal/detail/Publication/243846842
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Research Council of FinlandFunding program(s)
Academy Research Fellow, AoFAdditional information about funding
Chenxiao Wu is supported by the China Scholarship Council (grant 202206060106). Chaoxiong Ye is supported by the Research Council of Finland (former Academy of Finland) Academy Research Fellow project (grant 355369) and Finnish Cultural Foundation (grant 00231373).License
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