August 18, 2025ChildrenOpen Access

Prediction of Children’s Subjective Well-Being from Physical Activity and Sports Participation Using Machine Learning Techniques: Evidence from a Multinational Study

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Machine learning improves subjective well-being prediction in children through sports participation, suggesting potential data-driven interventions.

Machine learning approaches improved predictions of children's subjective well-being, achieving R2 up to 0.504.
Analysis of over 128,000 records indicated positive associations between sports participation and subjective well-being predictions.
GroupKFold cross-validation ensured robust findings across multiple cultural contexts, confirming method reliability.
These insights indicate a need for longitudinal studies to better understand causality and cultural nuances in well-being reports.

Souza-Lima et al. (2025) studied this question.

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Machine learning improves subjective well-being prediction in children through sports participation, suggesting potential data-driven interventions.