Built environment and physical activity of adolescents: an approach with artificial neural networks

Authors

  • Murilo Gominho Antunes Correia Júnior Universidade de Pernambuco, Programa de Pós-Graduação em Hebiatria, Recife, Pernambuco, Brasil. Universidade de Pernambuco, Escola Superior de Educação Física, Programa Associado de Pós-Graduação em Educação Física Universidade de Pernambuco/Universidade Federal da Paraíba, Recife, Pernambuco, Brasil. https://orcid.org/0000-0002-2395-2210
  • Thaliane Mayara Pessôa dos Prazeres Universidade de Pernambuco, Escola Superior de Educação Física, Programa Associado de Pós-Graduação em Educação Física Universidade de Pernambuco/Universidade Federal da Paraíba, Recife, Pernambuco, Brasil. https://orcid.org/0000-0003-0640-2353
  • Rafael dos Santos Henrique Universidade Federal de Pernambuco, Departamento de Educação Física, Recife, Pernambuco, Brasil. https://orcid.org/0000-0003-3912-5559
  • Javiera Alarcon Universidade de Pernambuco, Escola Superior de Educação Física, Programa Associado de Pós-Graduação em Educação Física Universidade de Pernambuco/Universidade Federal da Paraíba, Recife, Pernambuco, Brasil. https://orcid.org/0000-0003-4267-046X
  • Isabele Goes Nobre Universidade Federal de Pernambuco, Departamento de Educação Física, Recife, Pernambuco, Brasil. https://orcid.org/0000-0003-4598-1060
  • Bruno Cesar Pereira Pinto Universidade Federal de Pernambuco, Departamento de Engenharia Cartográfica, Recife, Pernambuco, Brasil. https://orcid.org/0009-0000-1042-6249
  • Gustavo Aires de Arruda Universidade de Pernambuco, Escola Superior de Educação Física, Programa Associado de Pós-Graduação em Educação Física Universidade de Pernambuco/Universidade Federal da Paraíba, Recife, Pernambuco, Brasil https://orcid.org/0000-0002-9157-6114
  • Douglas Eduardo Ferreira Maia Universidade Federal de Pernambuco, Departamento de Educação Física, Recife, Pernambuco, Brasil. https://orcid.org/0000-0003-1257-846X
  • Lucilene Antunes Correia Marques de Sá Universidade Federal de Pernambuco, Departamento de Engenharia Cartográfica, Recife, Pernambuco, Brasil. https://orcid.org/0000-0003-4497-6243
  • Marcos André Moura dos Santos Universidade de Pernambuco, Programa de Pós-Graduação em Hebiatria, Recife, Pernambuco, Brasil. Universidade de Pernambuco, Escola Superior de Educação Física, Programa Associado de Pós-Graduação em Educação Física Universidade de Pernambuco/Universidade Federal da Paraíba, Recife, Pernambuco, Brasil. https://orcid.org/0000-0002-2734-8416

DOI:

https://doi.org/10.12820/rbafs.29e0346

Keywords:

Artificial neural network, Adolescents, Georeferencing

Abstract

The objective of this study was to analyze the association of the level of physical activity (PA) and body composition in relation to the amount and distance of built environments favorable to the practice of PA in relation to the homes of adolescents in the city of Lagoa do Carro/Pernambuco, Brazil. A total of 289 adolescents (153 boys; 10 to 18 years) participated in the study, duly enrolled in schools municipality. The self-administered Physical Activity Questionnaire for Children (PAQ-C) and Physical Activity Questionnaire for Adolescent (PAQ-A) was used to assess the PA level. The Geographic Information System was used to assess the built environments. Buffers of 100 to 500 meters were created from the center of the built environment. The Artificial Neural Network in the Feedforward method was used to assess the association and importance of built environment and body composition variables with PA level. The different distances from the built environment to the place of residence do not present statistical differences. It is noteworthy that the number of buffers up to 500 meters away was the variable that showed the greatest importance for the PA level, along with adolescents who live in places with greater exposure in terms of built environments, being considered more active. It was possible to conclude that the main determinants of the PA level of adolescents were the amount of buffers at 500 meters, sex and the distance to the built environment. However, the variables, housing area, body mass and amounts of buffers at 100 meters were the ones with the lowest power of influence.

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Published

2024-09-18

How to Cite

1.
Correia Júnior MGA, Prazeres TMP dos, Henrique R dos S, Alarcon J, Nobre IG, Pinto BCP, et al. Built environment and physical activity of adolescents: an approach with artificial neural networks. Rev. Bras. Ativ. Fís. Saúde [Internet]. 2024 Sep. 18 [cited 2024 Sep. 27];29:1-12. Available from: https://rbafs.org.br/RBAFS/article/view/15217

Issue

Vol. 29 (2024)

Section

Original Articles

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Copyright (c) 2024 Murilo Gominho, Thaliane Mayara Pessôa dos Prazeres, Rafael dos Santos Henrique, Javiera Alarcon, Isabele Gois Nobre, Bruno Cesar Pereira Pinto, Gustavo Aires de Arruda, Douglas Eduardo Ferreira Maia, Lucilene Antunes Correia Marques de Sá, Marcos André Moura dos Santos

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