Factors associated with active and sedentary behaviors in Brazilian adolescents: a network analysis
DOI:
https://doi.org/10.12820/rbafs.28e0311Keywords:
Sedentary behavior, Physical activity, Social network analysis, BrazilAbstract
The present study aimed to verify the association of sociodemographic correlates and school characteristics with levels of physical activity (PA) and sedentary behavior (SB) of Brazilian adolescents. The sample consisted of 71,903 adolescents between 13 and 16 years old (52.8% girls), enrolled in the last year in public and private elementary schools of Brazil, participants of the third edition of the National Survey of School Health (PeNSE). The time of PA in Physical Education class and extra Physical Education class, time in active commuting and time in SB were related to sociodemographic variables (type of municipality, place where the school is located, mother’s schooling, perception of insecurity, age and gender) and school characteristics (type of school, block available for use). Data were analyzed using network analysis. The network topology showed that boys are more active than girls, especially in extra Physical Education`s PA. In addition, boys, students whose mothers have higher education, enrolled in private schools, which have a court available for use, have a positive association with longer time spent in PA in physical education classes. Students enrolled in public schools had a positive association with time spent in active commuting PA. As for SB, young people from the urban context are more exposed to SB than rural context. It was concluded that sociodemographic correlates and characteristics of the school were associated with all domains of the physical activity and sedentary behavior.
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References
WHO. Global action plan on physical activity 2018-2030: more active people for a healthier world. WHO; 2018.
Guthold R, Stevens GA, Riley LM, Bull FC. Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1·6 million participants. Lancet Child Adolesc Health. 2020;4(1):23–35. DOI: https://doi.org/10.1016/S2352-4642(19)30323-2
Barbosa Filho VC, Costa RM, Knebel MTG, Oliveira BN, Silva CB A, Silva KS. The prevalence of global physical activity among young people: a systematic review for the Report Card Brazil. Rev Bras Cineantropom Hum. 2018;23(4):367–87. DOI: https://doi.org/10.5007/1980-0037.2018v20n4p367
Bauman AE, Petersen CB, Blond K, Rangul V, Hardy LL. The Descriptive Epidemiology of Sedentary Behaviour. 2018, p. 73–106. DOI: https://doi.org/10.1007/978-3-319-61552-3_4
Pinto AA, Claumann GS, Angelo HCC, Menezes EC, Dias DT, Pelegrini A. Active commuting to school and associated factors among adolescents: a systematic review. J Phys Educ. 2017;28(1). DOI: https://doi.org/10.4025/jphyseduc.v28i1.2859
Ferrari GLM, Victo ER, Ferrari TK, Solé D. Active transportation to school for children and adolescents from Brazil: a systematic review. Rev Bras Cineantropom Hum. 2018;23(4):406–14. DOI: https://doi.org/10.5007/1980-0037.2018v20n4p406
Camargo EM, Silva MP, Mota J, Campos W. Prevalence and factors associated with active transportation to school for adolescents. Rev Saude Publica. 2020;54:78. DOI: https://doi.org/10.11606/s1518-8787.2020054002078
Ferreira RW, Varela AR, Monteiro LZ, Häfele CA, Santos SJ, Wendt A, et al. Desigualdades sociodemográficas na prática de atividade física de lazer e deslocamento ativo para a escola em adolescentes: Pesquisa Nacional de Saúde do Escolar (PeNSE 2009, 2012 e 2015). Cad Saude Publica. 2018;34(4). DOI: https://doi.org/10.1590/0102-311x00037917
Couto JO, Araujo RHO, Silva ECM, Soares NMM, Santos AE, Silva RJS. What is the contribution of each physical activity domain to total physical activity in adolescents? Rev Bras Cineantropom Hum. 2020;22:e70170. DOI: https://doi.org/10.1590/1980-0037.2020v22e70170
Parajára MC, Castro BM, Coelho DB, Meireles AL. Are neighborhood characteristics associated with sedentary behavior in adolescents? A systematic review. Int J Environ Health Res. 2020;30(4):388–408. DOI: https://doi.org/10.1080/09603123.2019.1597833
Matias TS, Silva KS, Silva JA, Mello GT, Salmon J. Clustering of diet, physical activity and sedentary behavior among Brazilian adolescents in the national school - based health survey (PeNSE 2015). BMC Public Health. 2018;18(1):1283. DOI: https://doi.org/10.1186/s12889-018-6203-1
Woods AJ, Probst YC, Norman J, Wardle K, Ryan ST, Patel L, et al. Correlates of physical activity and sedentary behaviour in children attending before and after school care: a systematic review. BMC Public Health. 2022;22(1):2364. DOI: https://doi.org/10.1186/s12889-022-14675-8
Tonge KL, Jones RA, Okely AD. Correlates of children’s objectively measured physical activity and sedentary behavior in early childhood education and care services: A systematic review. Prev Med (Baltim). 2016;89:129–39. DOI: https://doi.org/10.1016/j.ypmed.2016.05.019
Gomes MLB, Tornquist L, Tornquist D, Caputo EL. Body image is associated with leisure-time physical activity and sedentary behavior in adolescents: data from the Brazilian National School-based Health Survey (PeNSE 2015). Braz J Psychiatry. 2021;43(6):584–9. DOI: https://doi.org/10.1590/1516-4446-2020-1515
Silva RMA, Andrade ACS, Caiaffa WT, Medeiros DS, Bezerra VM. National Adolescent School-based Health Survey - PeNSE 2015: Sedentary behavior and its correlates. PLoS One. 2020;15(1):e0228373. DOI: https://doi.org/10.1371/journal.pone.0228373
Lourenço CLM, Christofoletti M, Malta DC, Mendes EL. Associação entre tempo excessivo frente à TV e índice de massa corporal em adolescentes brasileiros: uma análise de regressão quantílica da PeNSE, 2015. Cien Saude Colet. 2021;26(11):5817–28. DOI: https://doi.org/10.1590/1413-812320212611.28352020
Costa CS, Flores TR, Wendt A, Neves RG, Assunção MCF, Santos IS. Comportamento sedentário e consumo de alimentos ultraprocessados entre adolescentes brasileiros: Pesquisa Nacional de Saúde do Escolar (PeNSE), 2015. Cad Saude Publica. 2018;34(3),e00021017. DOI: https://doi.org/10.1590/0102-311x00021017
Hevey D. Network analysis: a brief overview and tutorial. Health Psychol Behav Med. 2018;6(1):301–28. DOI: https://doi.org/10.1080/21642850.2018.1521283
Instituto Brasileiro de Geografia e Estatística. Pesquisa nacional de saúde escolar. Rio de Janeiro: Instituto Brasileiro de Geografia e Estatística. 2016.
Oliveira MM, Campos MO, Andreazzi MAR, Malta DC, Oliveira MM, Campos MO, et al. Características da Pesquisa Nacional de Saúde do Escolar - PeNSE. Epidemiol Serv Saúde. 2017;26(3):605–16. DOI: https://doi.org/10.5123/S1679-49742017000300017
Mendonça G, Mendes JO, Lucena JMS, Farias Júnior JC. Os fatores sociodemográficos moderam a associação da prática de atividade física dos pais e amigos com o nível de atividade física dos adolescentes? RBAFS. 2020;24:1–9. DOI: https://doi.org/10.12820/rbafs.24e0092
Fruchterman TMJ, Reingold EM. Graph drawing by force-directed placement. Softw Pract Exp. 1991; 21(11):1129–64. DOI: https://doi.org/10.1002/spe.4380211102
Epskamp S, Cramer AOJ, Waldorp LJ, Schmittmann VD, Borsboom D. qgraph : Network Visualizations of Relationships in Psychometric Data. J Stat Softw. 2012;48(4). DOI: https://doi.org/10.18637/jss.v048.i04
Araújo RHO, Werneck AO, Barboza LL, Ramírez-Vélez R, Martins CML, Tassitano RM, et al. Prevalence and sociodemographic correlates of physical activity and sitting time among South American adolescents: a harmonized analysis of nationally representative cross-sectional surveys. Int J Behav Nutr Phys Act. 2022;19(1):52. DOI: https://doi.org/10.1186/s12966-022-01291-3
Andrade Neto F, Eto FN, Pereira TSS, Carletti L, Molina M CB. Active and sedentary behaviours in children aged 7 to 10 years old: the urban and rural contexts, Brazil. BMC Public Health. 2014;14(1):1174. DOI: https://doi.org/10.1186/1471-2458-14-1174
James M, Todd C, Scott S, Stratton G, McCoubrey S, Christian D, et al. Teenage recommendations to improve physical activity for their age group: a qualitative study. BMC Public Health. 2018;18(1):372. DOI: https://doi.org/10.1186/s12889-018-5274-3
Silva M, Engers P, Vilela G, Spohr C, Rombaldi A. Fontes de informação sobre benefícios à prática de atividade física e fatores associados em adolescentes: estudo de base escolar. RBAFS. 2016;21(3). DOI: https://doi.org/10.12820/rbafs.v.21n3p237-245
Dias PJP, Domingos IP, Ferreira MG, Muraro AP, Sichieri R, Gonçalves-Silva RMV. Prevalência e fatores associados aos comportamentos sedentários em adolescentes. Rev Saúde Publica. 2014;48(2):266–74. DOI: https://doi.org/10.1590/S0034-8910.2014048004635
Guerra PH, Farias Júnior JC, Florindo AA. Sedentary behavior in Brazilian children and adolescents: a systematic review. Rev Saude Publica. 2016; 50(0). DOI: https://doi.org/10.1590/S1518-8787.2016050006307
Werneck AO, Oyeyemi AL, Fernandes RA, Romanzini M, Ronque ERV, Cyrino ES, et al. Regional Socioeconomic Inequalities in Physical Activity and Sedentary Behavior Among Brazilian Adolescents. J Phys Act Health. 2018;15(5):338–44. DOI: https://doi.org/10.1123/jpah.2017-0338
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