Factors associated with sedentary behavior among ELSA-Brasil participants: ecological model

Autores

DOI:

https://doi.org/10.12820/rbafs.23e0006

Palavras-chave:

Sedentary Behavior, Adult, Epidemiology

Resumo

O objetivo principal do estudo foi identificar a prevalência e fatores associados ao comportamento sedentário (CS). O estudo compreendeu um total de 13.765 indivíduos de ambos os sexos participantes do Estudo Longitudinal de Saúde do Adulto (ELSA-Brasil) avaliados na segunda onda (2012-2014). O CS foi medido usando questões relacionadas ao tempo sentado durante a semana e o final de semana. Os fatores associados foram avaliados por meio de entrevistas face a face com blocos de questionários e medidas antropométricas. Um modelo ecológico hierárquico foi construído com todos os possíveis fatores associados ao CS: ambiente sociodemográfico (idade e nível de instrução; situação econômica); ambiente comportamental (atividade física no tempo livre, atividade física de deslocamento, consumo de cerveja, tabagismo atual); e ambiente biológico (sobrepeso, obesidade e obesidade abdominal). Odds ratios (OR) brutos e ajustados e intervalos de con ança de 95% (95% ICs) foram estimados usando regressão logística. Entre homens e mulheres, a maior escolaridade, o tabagismo atual e a obesidade abdominal foram positivamente associados ao CS, enquanto que ter mais de 51 anos e ser fisicamente ativo estavam associados negativamente ao CS. O modelo ecológico proposto explica o CS por meio do ambiente sociodemográfico, comportamental e biológico.

Downloads

Não há dados estatísticos.

Biografia do Autor

Francisco José Gondim Pitanga, Department of Physical Education. Federal University of Bahia, Salvador, Bahia, Brazil.

Doutor em Saúde Pública

Referências

1. Pate RR, O’Neill JR, Lobelo F. e evolving definition of “sedentary”. Exerc Sport Sci Rev. 2008;36(4):173-8. 

2. Jakes RW, Day NE, Khaw KT, Luben R, Oakes S, Welch A, et al. Television viewing and low participation in vigorous recreation are independently associated with obesity and markers of cardiovascular disease risk: EPIC-Norfolk population-based study. Eur J Clin Nutr. 2003;57(9):1089-96. 

3. Hu FB, Li TY, Colditz GA, Willett WC, Manson JE. Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA. 2003;289(14):1785-91. 

4. Banks E, Jorm L, Rogers K, Clements M, Bauman A. Screen-time, obesity, ageing and disability: findings from 91266 participants in the 45 and Up Study. Public Health Nutr. 2011;14(1):34-43. 

5. Chang PC, Li TC, Wu MT, Liu CS, Li CI, Chen CC, et al. Association between television viewing and the risk of metabolic syndrome in a community-based population. BMC Public Health. 2008;8:193. 

6. E, Hamer M, Dunstan DW. Screen-based entertainment time, all-cause mortality, and cardiovascular events: population-based study with ongoing mortality and hospital events follow-up. J Am Coll Cardiol. 2011;57(3):292-9. 

7. Dunstan DW, Barr EL, Healy GN, Salmon J, Shaw JE, Balkau B et al. Television viewing time and mortality: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Circulation. 2010;121(3):384-91. 

8. Van der Ploeg HP, Chey T, Korda RJ, Banks E, Bauman A. Sitting time and all-cause mortality risk in 222 497 Australian adults. Arch Intern Med. 2012;172(6):494-500. 

9. Edwardson CL, Gorely T, Davies MJ, Gray LJ, Khunti K, Wilmot EG et al. Association of sedentary behaviour with metabolic syndrome: a meta-analysis. PLoS One. 2012;7(4):e34916. 

10. Hu man S, Szafron M. Social correlates of leisure-time sedentary behaviours in Canadian adults. Prev Med Rep. 2017;5:268-74. 

11. Ishii, K, Shibata, A, Oka, K. Sociodemographic and anthropometric factors associated with screen-based sedentary behavior among Japanese adults: a population- based cross-sectional study. J Epidemiol. 2013;23(5):382–88. 

12. Garcia LM, Barros MV, Silva KS, Del Duca GF, Costa FF, Oliveira ES et al. Socio-demographic factors associated with three sedentary behaviors in Brazilian workers. Cad Saude Publica. 2015;31(5):1015-24.. 

13. Pitanga FJ, Matos SM, Almeida MC, Molina MC, Aquino EM. Factors associated with leisure time physical activity among ELSA-Brasil participants: Ecological Model. Prev Med. 2016;90:17-25. 

14. Aquino EM, Barreto SM, Bensenor IM, Carvalho MS, Chor D, Duncan BB, et al. Brazilian Longitudinal Study of Adult Health (ELSA-Brasil): objectives and design. Am J Epidemiol. 2012;175(4):315-24. 

15. Schmidt MI, Griep RH, Passos VM, Luft VC, Goulart AC, Menezes GM, et al. Strategies and development of quality assurance and control in the ELSA-Brasil. Rev Saude Publica. 2013;47(Suppl 2):105-12.
16. Lohman TG, Roche AF, Martorell R. Anthropometric Standardization Reference Manual. Human Kinetics: Champaign, IL, USA; 1988 p. 177.

17. Mill JG, Pinto K, Griep RH, Goulart A, Foppa M, Lotufo PA et al. Medical assessments and measurements in ELSA- Brasil. Rev Saude Publica. 2013;47(Suppl 2):54-62.
18. Matsudo VR, Andrade DR, Araújo TL, Andrade E, Oliveira L, Braggion G. Physical Activity Promotion: Experiences and Evaluation of the Agita São Paulo Program Using the Ecological Mobile Model. J Phys Act Health. 2004;1:81-97.
19. Wallmann-Sperlich B, Bucksch J, Hansen S, Schantz P, Froboese I. Sitting time in Germany: an analysis of socio- demographic and environmental correlates. BMC Public Health. 2013;13:196.
20. O’Donoghue G, Perchoux C, Mensah K, Lakerveld J, van der Ploeg H, Bernaards C et al. DEDIPAC Consortium. A systematic review of correlates of sedentary behaviour in adults aged 18-65 years: a socio-ecological approach. BMC Public Health. 2016;16:163.
21. Burton NW, Haynes M, van U elen JG, Brown WJ, Turrell G: Mid-aged adults’ sitting time in three contexts. Am J Prev Med 2012; 42(4):363–373.

22. Rosenberg DE, Bull FC, Marshall AL, Sallis JF, Bauman AE. Assessment of sedentary behavior with the International Physical Activity Questionnaire. J Phys Act Health 2008;5(Suppl 1):S30–S44.
23. Burton NW, Khan A, Brown WJ, Turrell G. e association between sedentary leisure and physical activity in middle- aged adults. Br J Sports Med. 2012;46(10):747-52.

24. Nooijen CFJ, Möller J, Forsell Y, Ekblom M, Galanti MR, Engström K. Do unfavourable alcohol, smoking, nutrition and physical activity predict sustained leisure time sedentary behaviour? A population-based cohort study. Prev Med. 2017;101:23-27.
25. Sohn M, Cho KH, Han KD, Choi M, Kim YH. Sitting time and obesity or abdominal obesity in older south Koreans: Korean National Health and Nutrition Examination Survey 2013. Behav Med. 2016:1-8.
26. Thorp AA, Owen N, Neuhaus M, Dunstan DW: Sedentary behaviors and subsequent health outcomes in adults a systematic review of longitudinal studies, 1996–2011. Am J Prev Med. 2011;41(2):207–15.
27. Williams DM, Raynor HA, Ciccolo JT. A review of TV viewing and its association with health outcomes in adults. Am J Lifestyle Med. 2008;2(3):250–59.

Downloads

Publicado

2018-08-14

Como Citar

1.
Pitanga FJG, Matos SMA, Almeida M da C, Griep RH, Viana MC, Melo ECP, et al. Factors associated with sedentary behavior among ELSA-Brasil participants: ecological model. Rev. Bras. Ativ. Fís. Saúde [Internet]. 14º de agosto de 2018 [citado 28º de março de 2024];23:1-8. Disponível em: https://rbafs.org.br/RBAFS/article/view/12052

Edição

Seção

Artigos Originais