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Physical (in)activity, and its predictors, among Brazilian adolescents: a multilevel analysis
BACKGROUND: Physical activity is a multifactorial trait, determined by both individual and environmental characteristics, it seems relevant to understand the determinants related to youth guidelines accomplishment. The present study aimed to verify the differences between the Brazilian federative un...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8811962/ https://www.ncbi.nlm.nih.gov/pubmed/35114963 http://dx.doi.org/10.1186/s12889-021-12336-w |
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author | Gomes, Thayse Natacha Thuany, Mabliny dos Santos, Fernanda Karina Rosemann, Thomas Knechtle, Beat |
author_facet | Gomes, Thayse Natacha Thuany, Mabliny dos Santos, Fernanda Karina Rosemann, Thomas Knechtle, Beat |
author_sort | Gomes, Thayse Natacha |
collection | PubMed |
description | BACKGROUND: Physical activity is a multifactorial trait, determined by both individual and environmental characteristics, it seems relevant to understand the determinants related to youth guidelines accomplishment. The present study aimed to verify the differences between the Brazilian federative units regarding to the prevalence of youth physical activity guidelines accomplishment and to investigate the determinants related to the inter-individual differences in this accomplishment. METHODS: Sample comes from the 2015 Brazilian National School Health Survey (PeNSE), comprising 99,570 adolescents (51,527 girls, 13-17y), enrolled in 3039 schools. Adolescents reported the time they spend in moderate-to-vigorous physical activity daily, and they were categorized as active or inactive, if the guidelines were achieved, or not, respectively, and multilevel statistical analyses were used, including both child and school-level variables. Multilevel Binomial model was computed in the SuperMix software. RESULTS: The majority of the adolescents did not comply with the physical activity guidelines daily, where Bahian children complied the least, while those from Amazonas, Tocantins, and Mato Grosso do Sul complied the most. Boys (OR: 2.305; 95%CI: 2.277-2.334), older adolescents (OR: 1.044; 95%CI: 1.036-1.051), and those who spent more time in active travelling to/from school (OR: 1.001; 95%CI: 1.001-1.001) complied more the physical activity guidelines. At the school level, adolescents from larger schools (OR: 0.957; 95%CI: 0.928-0.986) tended to comply less with the guidelines. CONCLUSION: Significant differences between Brazilian federative units in youth daily physical activity guidelines compliance were observed, highlighting the role of individual but also environmental constraints in the Brazilian adolescents’ engagement in physical activity. |
format | Online Article Text |
id | pubmed-8811962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88119622022-02-03 Physical (in)activity, and its predictors, among Brazilian adolescents: a multilevel analysis Gomes, Thayse Natacha Thuany, Mabliny dos Santos, Fernanda Karina Rosemann, Thomas Knechtle, Beat BMC Public Health Research BACKGROUND: Physical activity is a multifactorial trait, determined by both individual and environmental characteristics, it seems relevant to understand the determinants related to youth guidelines accomplishment. The present study aimed to verify the differences between the Brazilian federative units regarding to the prevalence of youth physical activity guidelines accomplishment and to investigate the determinants related to the inter-individual differences in this accomplishment. METHODS: Sample comes from the 2015 Brazilian National School Health Survey (PeNSE), comprising 99,570 adolescents (51,527 girls, 13-17y), enrolled in 3039 schools. Adolescents reported the time they spend in moderate-to-vigorous physical activity daily, and they were categorized as active or inactive, if the guidelines were achieved, or not, respectively, and multilevel statistical analyses were used, including both child and school-level variables. Multilevel Binomial model was computed in the SuperMix software. RESULTS: The majority of the adolescents did not comply with the physical activity guidelines daily, where Bahian children complied the least, while those from Amazonas, Tocantins, and Mato Grosso do Sul complied the most. Boys (OR: 2.305; 95%CI: 2.277-2.334), older adolescents (OR: 1.044; 95%CI: 1.036-1.051), and those who spent more time in active travelling to/from school (OR: 1.001; 95%CI: 1.001-1.001) complied more the physical activity guidelines. At the school level, adolescents from larger schools (OR: 0.957; 95%CI: 0.928-0.986) tended to comply less with the guidelines. CONCLUSION: Significant differences between Brazilian federative units in youth daily physical activity guidelines compliance were observed, highlighting the role of individual but also environmental constraints in the Brazilian adolescents’ engagement in physical activity. BioMed Central 2022-02-03 /pmc/articles/PMC8811962/ /pubmed/35114963 http://dx.doi.org/10.1186/s12889-021-12336-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Gomes, Thayse Natacha Thuany, Mabliny dos Santos, Fernanda Karina Rosemann, Thomas Knechtle, Beat Physical (in)activity, and its predictors, among Brazilian adolescents: a multilevel analysis |
title | Physical (in)activity, and its predictors, among Brazilian adolescents: a multilevel analysis |
title_full | Physical (in)activity, and its predictors, among Brazilian adolescents: a multilevel analysis |
title_fullStr | Physical (in)activity, and its predictors, among Brazilian adolescents: a multilevel analysis |
title_full_unstemmed | Physical (in)activity, and its predictors, among Brazilian adolescents: a multilevel analysis |
title_short | Physical (in)activity, and its predictors, among Brazilian adolescents: a multilevel analysis |
title_sort | physical (in)activity, and its predictors, among brazilian adolescents: a multilevel analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8811962/ https://www.ncbi.nlm.nih.gov/pubmed/35114963 http://dx.doi.org/10.1186/s12889-021-12336-w |
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