1,257
Views
8
CrossRef citations to date
0
Altmetric
Empirical article

A Meta-analysis of the Relationship between Motor Skills and Executive Functions in Typically-developing Children

, , ORCID Icon, , , ORCID Icon & show all
Pages 83-110 | Published online: 08 Oct 2021
 

ABSTRACT

The relationship between motor skills and executive functions (EFs) is gaining prominence in the field of developmental psychology. However, evidence of the motor skills–EFs link in children with typical development is somewhat inconsistent and there has been no adequate attempt to evaluate it systematically across studies. In view of this, the present meta-analysis was carried out to investigate the relationship between the global domains of motor skills and EFs; and to explore specific associations between different components of motor skills (balance, manual dexterity, locomotor skills, and object control skills) and EFs (response inhibition, working memory, and cognitive flexibility) in typically developing children. The analysis involved data on 4,866 children between the ages of 3 and 12 years, taken from 32 studies. The results revealed a significant positive association between motor skills and EFs at the global level, as well as at the specific level of analysis. At the specific level of analysis, balance and manual dexterity were found to have the strongest independent associations with all EF components. Moderator analysis revealed an age effect between balance and response inhibition only. In summary, the present meta-analysis provides evidence for the theoretical assumption of a link between motor skills and EFs and emphasizes the importance of including cognitively engaging motor tasks in intervention programs designed to promote motor skills and higher-order cognitive skills in children.

Acknowledgments

This work was supported by the Eötvös Loránd Research Network (project number: LP-2018-21/2018). The work of Renata Cserjesi was supported by a Bolyai János Research Fellowship awarded by the Hungarian Academy of Sciences.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was funded by the Hungarian Academy of Sciences in the framework of the Lendület II. program (project N: LP‐2018‐21/2018) and Renata Cserjesi work was supported by Bolyai Janos Research Fellowship of the Hungarian Academy of Sciences;Hungarian Academy of Sciences [Bolyai Janos Fellowship,Lendulet].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 297.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.