Fatores associados ao comportamento sedentário baseado no uso de computador, tablet ou celular: dados de 52.443 adultos brasileiros
Factores asociados al comportamiento sedentario en adultos
DOI:
https://doi.org/10.11606//issn.1981-4690.2024e38200948Keywords:
Tempo de tela, Atividades no lazer, Estudos transversais, Vigilância em saúde públicaAbstract
Este estudo tem como objetivo verificar os fatores sociodemográficos e de estilo de vida, condições de saúde e autopercepção de saúde associados ao comportamento sedentário baseado no uso de computador, tablet ou celular no lazer em adultos das capitais brasileiras e do Distrito Federal. Trata-se de um estudo transversal derivado da pesquisa Vigitel, realizada em 2019 com indivíduos maiores de dezoito anos. O desfecho foi o tempo gasto em computadores, tablets ou celulares (pelo menos quatro horas por dia). As variáveis independentes do estudo foram sexo, idade, estado civil, cor da pele, região do Brasil, escolaridade, tabagismo, consumo excessivo de álcool e de alimentos industrializados, atividade física no lazer e recomendações de atividade física, presença de obesidade, diabetes e hipertensão e autopercepção de saúde, obtida por meio de questionário. A análise dos dados utilizou regressão logística binária, teste de heterogeneidade de Wald e teste de tendência linear. Entre os 52.443 participantes, indivíduos que viviam sem companheiro (p<0,001), que eram negros (p=0,041), tinham nível superior (p<0,001), consumiam álcool (p<0,001) e alimentos industrializados em excesso (p<0,001) e com pior autopercepção de saúde (p<0,001) foram mais propensos a usar computador, tablet ou celular para lazer em comparação com seus pares. Indivíduos mais velhos (p<0,001) e residentes na região sul do Brasil (p=0,003) tiveram menor chance de ter o desfecho investigado em relação aos participantes mais jovens e da região norte, respectivamente. Fatores como idade, estado civil e escolaridade estão mais fortemente associados ao uso prolongado de computador, tablet ou celular.
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References
Sandell L. Television viewing in Finland 2015. Finnpanel; 2015. [s.l.: s.n.].
Tremblay MS, Aubert S, Barnes JD, et al. Sedentary behavior research network (SBRN) - terminology consensus project process and outcome. Int J Behav Nutr Phys Act. 2017;14(1):1-17.
Basterra-Gortari FJ, Bes-Rastrollo M, Gea A, Núñez-Córdoba JM, Toledo E, Martínez-González MA. Television viewing, computer use, time driving and all-cause mortality: the SUN cohort. J Am Heart Assoc. 2014;3(3):e000864.
Mielke GI, Burton NW, Turrell G, Brown WJ. Temporal trends in sitting time by domain in a cohort of mid-age Australian men and women. Maturitas. 2018;116:108-115.
Owen N, Healy GN, Matthews CE, Dunstan DW. Too much sitting: the population-health science of sedentary behavior. Exerc Sport Sci Rev. 2010;38(3):105-113.
Nguyen P, Le LKD, Nguyen D, Gao L, Dunstan DW, Moodie M. The effectiveness of sedentary behaviour interventions on sitting time and screen time in children and adults: an umbrella review of systematic reviews. Int J Behav Nutr Phys Act. 2020;17(1):1-11.
Wang X, Li Y, Fan H. The associations between screen time-based sedentary behavior and depression: a systematic review and meta-analysis. BMC Public Health. 2019;19(1):1-9.
Ekelund U, Tarp J, Fagerland MW, et al. Joint associations of accelerometer-measured physical activity and sedentary time with all-cause mortality: a harmonised meta-analysis in more than 44,000 middle-aged and older individuals. Br J Sports Med. 2020;54(24):1499-1506.
Patterson R, McNamara E, Tainio M, et al. Sedentary behaviour and risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes: a systematic review and dose response meta-analysis. Eur J Epidemiol. 2018;33(9):811-829.
Chau JY, Grunseit AC, Chey T, et al. Daily sitting time and all-cause mortality: a meta-analysis. PLoS One. 2013;8(11):e80000.
Ford ES, Caspersen CJ. Sedentary behaviour and cardiovascular disease: a review of prospective studies. Int J Epidemiol. 2012;41(5):1338-1353.
Gilchrist SC, Howard VJ, Akinyemiju T, et al. Association of sedentary behavior with cancer mortality in middle-aged and older US adults. JAMA Oncol. 2020;6(8):1210-1217.
Friedenreich CM, Ryder-Burbidge C, McNeil J. Physical activity, obesity and sedentary behavior in cancer etiology: epidemiologic evidence and biologic mechanisms. Mol Oncol. 2021;15(3):790-800.
Nang EEK, Salim A, Wu Y, et al. Television screen time, but not computer use and reading time, is associated with cardio-metabolic biomarkers in a multiethnic Asian population: a cross-sectional study. Int J Behav Nutr Phys Act. 2013;10(1):1-10.
Andrade-Gómez E, García-Esquinas E, Ortolá R, et al. Watching TV has a distinct sociodemographic and lifestyle profile compared with other sedentary behaviors: a nationwide population-based study. PLoS One. 2017;12(12):e0188836.
Uijtdewilligen L, Singh AS, Chinapaw MJM, Twisk JWR, van Mechelen W. Person-related determinants of TV viewing and computer time in a cohort of young Dutch adults: who sits the most? Scand J Med Sci Sports. 2015;25(5):716-723.
Silva DR, Collings P, Araujo RH, et al. Correlates of screen-based behaviors among adults from the 2019 Brazilian National Health Survey. BMC Public Health. 2021;21(1):1-9.
Costa BGG, Chaput JP, Silva KS. The two sides of sedentary behavior. J Phys Educ. 2022;33(1).
Garcia LMT, Barros MVGD, Silva KS, et al. Aspectos sociodemográficos associados a três comportamentos sedentários em trabalhadores brasileiros. Cad Saúde Pública. 2015;31(5):1015-1024.
Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Vigilância de Doenças e Agravos não Transmissíveis e Promoção da Saúde. Vigitel Brasil 2019: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no Distrito Federal em 2019. Brasília: Ministério da Saúde; 2020. p. 139.
O’Donoghue G, Perchoux C, Mensah K, et al. A systematic review of correlates of sedentary behaviour in adults aged 18-65 years: a socio-ecological approach. BMC Public Health. 2016;16(1):1-25.
Rhodes RE, Mark RS, Temmel CP. Adult sedentary behavior: a systematic review. Am J Prev Med. 2012;42(3):e3-e28.
Leão OADA, Knuth AG, Meucci RD. Comportamento sedentário em idosos residentes de zona rural no extremo Sul do Brasil. Rev Bras Epidemiol. 2020;23:e200008.
Liao C, Goff L, Chaparro A, et al. A comparison of website usage between young adults and the elderly. Proc Hum Factors Ergon. 2000;44(24):4-101.
Smith MW, Sharit J, Czaja SJ. Aging, motor control, and the performance of computer mouse tasks. Hum Factors. 1999;41(3):389-396.
Wildenbos GA, Peute LW, Jaspers MW. A framework for evaluating mHealth tools for older patients on usability. Digital Healthcare Empowering Europeans. 2015:783-787.
Hunsaker A, Hargittai E. A review of Internet use among older adults. New Media Soc. 2018;20(10):3937-3954.
Fennell C, Barkley JE, Lepp A. The relationship between cell phone use, physical activity, and sedentary behavior in adults aged 18-80. Comput Hum Behav. 2019;90:53-59.
Pew Research Center. Smartphone ownership is growing rapidly around the world, but not always equally. Available from: https://www.pewresearch.org/global/2019/02/05/smartphone-ownership-is-growing-rapidly-around-the-world-but-not-always-equally/.
Weber S, Mitchell C. Imaging, keyboarding, and posting identities: young people and new media technologies. Youth, Identity, and Digital Media. 2008;7:25-47.
DeAndrea DC, Ellison NB, LaRose R, Steinfield C, Fiore A. Serious social media: On the use of social media for improving students' adjustment to college. Internet High Educ. 2012;15(1):15-23.
Villanti AC, Johnson AL, Ilakkuvan V, et al. Social media use and access to digital technology in US young adults in 2016. J Med Internet Res. 2017;19(6):e7303.
Rocha BMC, Goldbaum M, César CLG, Stopa SR. Comportamento sedentário na cidade de São Paulo: ISA-Capital 2015. Rev Bras Epidemiol. 2019;22:e190050.
Cohen SS, Matthews CE, Signorello LB, et al. Sedentary and physically active behavior patterns among low-income African-American and white adults living in the southeastern United States. PLoS One. 2013;8(4):e59975.
Lakerveld J, Loyen A, Schotman N, et al. Sitting too much: a hierarchy of socio-demographic correlates. Prev Med. 2017;101:77-83.
Instituto de Pesquisa Econômica Aplicada - IPEA. Atlas da violência; 2020. Available from: https://www.ipea.gov.br/atlasviolencia/download/24/atlas-da-violencia-2020.
Salvador EP, Florindo AA, Reis RS, Costa EF. Percepção do ambiente e prática de atividade física no lazer entre idosos. Rev Saúde Pública. 2009;43(6):972-980.
Malta DC, Silva JB. Policies to promote physical activity in Brazil. Lancet. 2012;380(9838):195-196.
Hallal PC, Reis RS, Hino AAF, et al. Avaliação de programas comunitários de promoção da atividade física: o caso de Curitiba, Paraná. Rev Bras Ativ Fis Saúde. 2009;14(2):104-114.
Benedetti TRB, Schwingel A, Gomez LSR, Chodzko-Zajko W. Program "VAMOS" (Active Living, Enhancing Health): from conception to initial findings. Rev Bras Cineantropom Desempenho Hum. 2012;14(6):723-737.
Rech CR, Camargo EMD, Araujo PABD, Loch MR, Reis RS. Perceived barriers to leisure-time physical activity in the Brazilian population. Rev Bras Med Esporte. 2018;24:303-309.
Gidlow C, Johnston LH, Crone D, Ellis N, James D. A systematic review of the relationship between socio-economic position and physical activity. Health Educ J. 2006;65(4):338-367.
Poortinga W. The prevalence and clustering of four major lifestyle risk factors in an English adult population. Prev Med. 2007;44(2):124-128.
Twenge JM. More time on technology, less happiness? Associations between digital-media use and psychological well-being. Curr Dir Psychol Sci. 2019;28(4):372-379.
Van Der Ploeg HP, Hillsdon M. Is sedentary behaviour just physical inactivity by another name? Int J Behav Nutr Phys Act. 2017;14(1):1-8.
Owen N, Sparling PB, Healy GN, Dunstan DW, Matthews CE. Sedentary behavior: emerging evidence for a new health risk. Mayo Clin Proc. 2010;85(12):1138-1141.
Bertuol C, Tozetto WR, Streb AR, Del Duca GF. Combined relationship of physical inactivity and sedentary behaviour with the prevalence of noncommunicable chronic diseases: data from 52,675 Brazilian adults and elderly. Eur J Sport Sci. 2021;1-10.
Martinez-Gomez D, Guallar-Castillon P, Mota J, et al. Physical activity, sitting time and mortality in older adults with diabetes. Int J Sports Med. 2015;36(14):1206-1211.
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):1785-1791.
Hobbs M, Pearson N, Foster PJ, Biddle SJ. Sedentary behaviour and diet across the lifespan: an updated systematic review. Br J Sports Med. 2015;49(18):1179-1188.
Pearson N, Biddle SJ. Sedentary behavior and dietary intake in children, adolescents, and adults: a systematic review. Am J Prev Med. 2011;41(2):178-188.
Kikuchi H, Inoue S, Sugiyama T, et al. Distinct associations of different sedentary behaviors with health-related attributes among older adults. Prev Med. 2014;67:335-339.
Gaskin CJ, Orellana L. Factors associated with physical activity and sedentary behavior in older adults from six low-and middle-income countries. Int J Environ Res Public Health. 2018;15(5):908.
Bombak AE. Self-rated health and public health: a critical perspective. Front Public Health. 2013;1:15.
McKeough Z, Cheng SWM, Alison J, et al. Low leisure-based sitting time and being physically active were associated with reduced odds of death and diabetes in people with chronic obstructive pulmonary disease: a cohort study. J Physiother. 2018;64(2):114-120.
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