# A person-centered approach to cognitive performance analysis in primary school children: Comparisons through self-organizing maps

**Authors:** Sergio Montalt-García, Isaac Estevan, Israel Villarrasa-Sapiña, Xavier García-Massó, Henri Tilga, Henri Tilga, Henri Tilga, Henri Tilga

PMC · DOI: 10.1371/journal.pone.0318836 · PLOS ONE · 2025-02-20

## TL;DR

This study identifies student profiles based on physical, psychological, and social traits and finds that these traits influence cognitive performance in primary school children.

## Contribution

The novel use of Self-Organizing Maps to uncover distinct student profiles and their cognitive performance associations.

## Key findings

- Six distinct student profiles were identified using Self-Organizing Maps.
- Profiles with higher physical activity and positive social/psychological traits showed better cognitive performance.
- Diverse student profiles suggest the need for targeted educational programs.

## Abstract

The objective of this study was to identify distinct student profiles based on physical, psychological, and social characteristics, and examine their impact on cognitive performance. A total of 194 children participated in this cross-sectional design study (mean age = 10.61 years, SD = 0.45; 48.96% girls). The study included participants from diverse racial backgrounds. Using Self-Organizing Maps, an unsupervised neural network clustering technique, six distinct profiles were identified. These profiles revealed significant effects in daily physical activity, self-reported physical, social, and psychological factors, and physical performance. Profiles characterized by higher physical activity levels and positive social and psychological factors were associated with better cognitive performance, in contrast to profiles with lower levels in these domains. These findings suggest that students’ cognitive outcomes may be linked to their physical, psychological, and social characteristics, which interact to shape cognitive functioning. The recognition of the diversity of student profiles in specific educational settings may facilitate the design of more targeted programs that address individual needs and strengths, thereby enhancing their development in these domains within similar educational contexts.

## Full-text entities

- **Diseases:** depression (MESH:D003866), motivational deficits (MESH:D009461), CP (MESH:D003072), PA (MESH:D059445), overweight (MESH:D050177)
- **Chemicals:** CP (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

72 references — full list in the complete paper: https://tomesphere.com/paper/PMC11841877/full.md

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Source: https://tomesphere.com/paper/PMC11841877