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National Adolescent School-based Health Survey - PeNSE 2015: Sedentary behavior and its correlates

OBJECTIVE: To investigate the association between sedentary behavior (SB) and sociodemographic, social support, behavioral, and health variables among Brazilian adolescents. METHODS: The 2015 National Adolescent School-based Health Survey (PeNSE) was a cross-sectional study consisting of 102,072 Bra...

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Autores principales: Silva, Roberta Mendes Abreu, Andrade, Amanda Cristina de Souza, Caiaffa, Waleska Teixeira, de Medeiros, Danielle Souto, Bezerra, Vanessa Moraes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6991995/
https://www.ncbi.nlm.nih.gov/pubmed/31999792
http://dx.doi.org/10.1371/journal.pone.0228373
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author Silva, Roberta Mendes Abreu
Andrade, Amanda Cristina de Souza
Caiaffa, Waleska Teixeira
de Medeiros, Danielle Souto
Bezerra, Vanessa Moraes
author_facet Silva, Roberta Mendes Abreu
Andrade, Amanda Cristina de Souza
Caiaffa, Waleska Teixeira
de Medeiros, Danielle Souto
Bezerra, Vanessa Moraes
author_sort Silva, Roberta Mendes Abreu
collection PubMed
description OBJECTIVE: To investigate the association between sedentary behavior (SB) and sociodemographic, social support, behavioral, and health variables among Brazilian adolescents. METHODS: The 2015 National Adolescent School-based Health Survey (PeNSE) was a cross-sectional study consisting of 102,072 Brazilian ninth-graders (mainly aged 13–15 years). SB was defined as the time (in hours) watching television, using a computer, playing video games, talking to friends, or doing other activities in a sitting position. For analysis purposes, SB was categorized into different cut-offs as per the sample distribution quartiles: >2 versus <2 (25(th) percentile); >4 versus <4 (50(th) 26 percentile) and >6 versus <6 (75(th) 27 percentile). We employed Poisson univariate and multivariate regression analyses with robust variance and hierarchical entry of variables for each cut-off point. RESULTS: The prevalence rates of each SB cut-off point were 68.15% (CI: 67.44–68.86), 44.15% (CI: 43.40–44.90) and 24.97% (CI:24.37–25.57) for >2, >4 and >6 hours, respectively. The following characteristics were positively and significantly associated with each SB cut-off point in the final models: females, current employment, higher household economic status and higher maternal schooling, lower levels of parents checking homework, tobacco and alcohol use, soft drink and fruit consumption, and regular, poor or very poor self-assessed health status. Conversely, students who self-declared brown were less likely to be classified as a SB cut-off point. Significant associations with age, report of close friends, and physical activity varied by different SB cut-off points. CONCLUSION: Understanding the SB correlates in their different dimensions contributes to the identification of subgroups of adolescents with higher SB prevalence, which is crucial in the development and improvement of public policies. The demographic and behavioral characterization of these groups can guide the development of future intervention strategies, considering the school and family contexts of these adolescents.
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spelling pubmed-69919952020-02-20 National Adolescent School-based Health Survey - PeNSE 2015: Sedentary behavior and its correlates Silva, Roberta Mendes Abreu Andrade, Amanda Cristina de Souza Caiaffa, Waleska Teixeira de Medeiros, Danielle Souto Bezerra, Vanessa Moraes PLoS One Research Article OBJECTIVE: To investigate the association between sedentary behavior (SB) and sociodemographic, social support, behavioral, and health variables among Brazilian adolescents. METHODS: The 2015 National Adolescent School-based Health Survey (PeNSE) was a cross-sectional study consisting of 102,072 Brazilian ninth-graders (mainly aged 13–15 years). SB was defined as the time (in hours) watching television, using a computer, playing video games, talking to friends, or doing other activities in a sitting position. For analysis purposes, SB was categorized into different cut-offs as per the sample distribution quartiles: >2 versus <2 (25(th) percentile); >4 versus <4 (50(th) 26 percentile) and >6 versus <6 (75(th) 27 percentile). We employed Poisson univariate and multivariate regression analyses with robust variance and hierarchical entry of variables for each cut-off point. RESULTS: The prevalence rates of each SB cut-off point were 68.15% (CI: 67.44–68.86), 44.15% (CI: 43.40–44.90) and 24.97% (CI:24.37–25.57) for >2, >4 and >6 hours, respectively. The following characteristics were positively and significantly associated with each SB cut-off point in the final models: females, current employment, higher household economic status and higher maternal schooling, lower levels of parents checking homework, tobacco and alcohol use, soft drink and fruit consumption, and regular, poor or very poor self-assessed health status. Conversely, students who self-declared brown were less likely to be classified as a SB cut-off point. Significant associations with age, report of close friends, and physical activity varied by different SB cut-off points. CONCLUSION: Understanding the SB correlates in their different dimensions contributes to the identification of subgroups of adolescents with higher SB prevalence, which is crucial in the development and improvement of public policies. The demographic and behavioral characterization of these groups can guide the development of future intervention strategies, considering the school and family contexts of these adolescents. Public Library of Science 2020-01-30 /pmc/articles/PMC6991995/ /pubmed/31999792 http://dx.doi.org/10.1371/journal.pone.0228373 Text en © 2020 Silva et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Silva, Roberta Mendes Abreu
Andrade, Amanda Cristina de Souza
Caiaffa, Waleska Teixeira
de Medeiros, Danielle Souto
Bezerra, Vanessa Moraes
National Adolescent School-based Health Survey - PeNSE 2015: Sedentary behavior and its correlates
title National Adolescent School-based Health Survey - PeNSE 2015: Sedentary behavior and its correlates
title_full National Adolescent School-based Health Survey - PeNSE 2015: Sedentary behavior and its correlates
title_fullStr National Adolescent School-based Health Survey - PeNSE 2015: Sedentary behavior and its correlates
title_full_unstemmed National Adolescent School-based Health Survey - PeNSE 2015: Sedentary behavior and its correlates
title_short National Adolescent School-based Health Survey - PeNSE 2015: Sedentary behavior and its correlates
title_sort national adolescent school-based health survey - pense 2015: sedentary behavior and its correlates
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6991995/
https://www.ncbi.nlm.nih.gov/pubmed/31999792
http://dx.doi.org/10.1371/journal.pone.0228373
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