Interpretable prediction of gross motor coordination in children aged 9–10 using machine learning and SHAP: the influence of physical fitness, basic coordination, and executive function

Spatial-body integration, physical fitness, and postural control are primary determinants of gross motor coordination in children, while cognitive regulation plays a secondary role. Training programs aiming to enhance gross motor coordination should emphasize spatial orientation, body weight management, balance, and lower-limb strength.

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Publication Details

Journal
PeerJ
Published
2026-02-26
DOI
https://doi.org/10.7717/peerj.20827
Primary Topic
Children's Physical and Motor Development
Type
article
Field-Weighted Citation Impact
0.00
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article

Interpretable prediction of gross motor coordination in children aged 9–10 using machine learning and SHAP: the influence of physical fitness, basic coordination, and executive function

Liqin Deng, Yuan Sui, Min He, Xiangyang Ding et al.
PeerJ
Children's Physical and Motor Development
article

Interpretable prediction of gross motor coordination in children aged 9–10 using machine learning and SHAP: the influence of physical fitness, basic coordination, and executive function

Liqin Deng, Yuan Sui, Min He, Xiangyang Ding, Fei Li, Yue Shi, Lingfeng Mao
article en

Abstract

Spatial-body integration, physical fitness, and postural control are primary determinants of gross motor coordination in children, while cognitive regulation plays a secondary role. Training programs aiming to enhance gross motor coordination should emphasize spatial orientation, body weight management, balance, and lower-limb strength.

PeerJVol. 14
Shanghai University of Sport (CN)
Openalex Percentile: Top 44%
Children's Physical and Motor Development
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