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How Do Health, Biological, Behavioral, and Cognitive Variables Interact over Time in Children of Both Sexes? A Complex Systems Approach

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  • Elenice de Sousa Pereira

    (Department of Physical Education, Federal University of Viçosa, Viçosa 36570-900, MG, Brazil)

  • Mabliny Thuany

    (Faculty of Sports, University of Porto, 4200-450 Porto, Portugal)

  • Paulo Felipe Ribeiro Bandeira

    (Department of Physical Education, Regional University of Cariri—URCA, Crato 63105-000, CE, Brazil
    Federal University of Vale do São Francisco—UNIVASF, Petrolina 48902-300, PE, Brazil)

  • Thayse Natacha Q. F. Gomes

    (Department of Physical Education, Federal University of Sergipe, São Cristóvão 49100-000, SE, Brazil
    Department of Physical Education and Sport Sciences, University of Limerick, V94 T9PX Limerick, Ireland
    Physical Activity for Health Cluster, Health Research Institute, University of Limerick, V94 T9PX Limerick, Ireland)

  • Fernanda Karina dos Santos

    (Department of Physical Education, Federal University of Viçosa, Viçosa 36570-900, MG, Brazil)

Abstract

The present study examined gender differences in health, physical activity, physical fitness, real and perceived motor competence, and executive function indicators in three time points, and analyzed the dynamic and non-linear association between health, biological, behavioral, and cognitive variables in children followed over time. A total of 67 children (aged between six and 10 years) were followed during two years and split into two cohorts (six to eight years old: C1; eight to 10 years old: C2). Data regarding health, physical activity, real and perceived motor competence, physical fitness, and executive function indicators were obtained according to their respective protocols. Comparison tests and network analysis were estimated. Significant gender differences were found in both cohorts. The emerged networks indicated different topologies in both cohorts. No clusters were observed between the variables in C1, and there was a greater number of interactions at eight years of age. Sparse networks were observed in children aged eight and 10 years in C2, and greater connectivity was observed at nine years of age between health, physical fitness, motor competence, and physical activity indicators. This study showed that there are non-linear dynamic relationships between health, biological, behavioral, and cognitive variables over time during child development.

Suggested Citation

  • Elenice de Sousa Pereira & Mabliny Thuany & Paulo Felipe Ribeiro Bandeira & Thayse Natacha Q. F. Gomes & Fernanda Karina dos Santos, 2023. "How Do Health, Biological, Behavioral, and Cognitive Variables Interact over Time in Children of Both Sexes? A Complex Systems Approach," IJERPH, MDPI, vol. 20(3), pages 1-19, February.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:2728-:d:1056682
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    References listed on IDEAS

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    1. Epskamp, Sacha & Cramer, Angélique O.J. & Waldorp, Lourens J. & Schmittmann, Verena D. & Borsboom, Denny, 2012. "qgraph: Network Visualizations of Relationships in Psychometric Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i04).
    2. Jiahua Chen & Zehua Chen, 2008. "Extended Bayesian information criteria for model selection with large model spaces," Biometrika, Biometrika Trust, vol. 95(3), pages 759-771.
    3. José Francisco López-Gil & Javier Brazo-Sayavera & Juan Luis Yuste Lucas & Fernando Renato Cavichiolli, 2020. "Weight Status Is Related to Health-Related Physical Fitness and Physical Activity but Not to Sedentary Behaviour in Children," IJERPH, MDPI, vol. 17(12), pages 1-13, June.
    4. Jorge Cazorla-González & Sergi García-Retortillo & Mariano Gacto-Sánchez & Gerard Muñoz-Castro & Juan Serrano-Ferrer & Blanca Román-Viñas & Abel López-Bermejo & Raquel Font-Lladó & Anna Prats-Puig, 2022. "Effects of Crawling before Walking: Network Interactions and Longitudinal Associations in 7-Year-Old Children," IJERPH, MDPI, vol. 19(9), pages 1-11, May.
    5. Clarice Maria de Lucena Martins & Paulo Felipe Ribeiro Bandeira & Natália Batista Albuquerque Goulart Lemos & Thaynã Alves Bezerra & Cain Craig Truman Clark & Jorge Mota & Michael Joseph Duncan, 2020. "A Network Perspective on the Relationship between Screen Time, Executive Function, and Fundamental Motor Skills among Preschoolers," IJERPH, MDPI, vol. 17(23), pages 1-12, November.
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