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2015 | 16 | 1 | 20-27
Tytuł artykułu

Excessive TV Viewing Time and Associated Factors in Brazilian Adolescents from a Rural Area

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose. Sedentary behavior has been identified as a risk factor for chronic non-communicable diseases. This study identified the prevalence of excessive TV viewing time during the week and weekend and associated factors in adolescents living in a small urban and rural area. Methods. A cross-sectional study involving 283 students (aged 10-19 years) from Brazil was conducted in 2010. Data on TV viewing time and sociodemographic information were collected by questionnaires, cardiorespiratory fitness was evaluated by the 20-m shuttle run test, and anthropometric characteristics were obtained by measuring waist circumference and skinfold thickness. Statistical analysis involved binary logistic regression. Results. The prevalence of excessive TV viewing time ( 2 h) was 76.7% during on weekdays and 78.4% on the weekend. Adolescents aged 10-12 years (OR = 6.20; 95% CI = 2.91, 13.19; p < 0.001) and 13-15 years (OR = 2.57; 95% CI = 1.28, 5.18; p = 0.008) were more exposed to excessive TV viewing time during the week. No associations were found for excessive TV viewing time on the weekend. Conclusions. Approximately 8 in 10 adolescents presented excessive TV viewing time; excessive TV viewing time during the week was associated with age.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
16
Numer
1
Strony
20-27
Opis fizyczny
Daty
wydano
2015-03-01
otrzymano
2014-09-17
zaakceptowano
2015-03-23
online
2015-05-23
Twórcy
  • University State of Santa Catarina, Florianópolis, SC, Brazil , fernandacerveira@yahoo.com.br
  • Rodovia Amaro Antônio Vieira, 2489 Itacorubi, Florianópolis-SC- Brasil CEP 88034-102
  • Federal University of Santa Catarina, Florianópolis, SC, Brazil
  • Federal University of Santa Catarina, Florianópolis, SC, Brazil
  • Federal University of Santa Catarina, Florianópolis, SC, Brazil
Bibliografia
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  • 2. World Health Organization, Marketing of foods high in fat, salt and sugar to children: update 2012-2013. WHO, Copenhagen 2013. http://www.euro.who.int/data/assets/pdf_file/0019/191125/e96859.pdf [Accessed: 2013, July 16].
  • 3. Commonwealth Scientific Industrial Research Organization (CSIRO). 2007 Australian National Children’s Nutrition and Physical Activity video games on physical activity in children. Available from: http://www.health.gov.au/internet/main/publishing.nsf/Content/8F4516D5FAC0700ACA257BF0001E0109/$File/childrens-nutphys-survey.pdf [Accessed: 2013, August 18].
  • 4. Barbosa Filho V.C., Campos W., Lopes A.S., Epidemiology of physical inactivity, sedentary behaviors, and unhealthy eating habits among Brazilian adolescents: a systematic review [in Portuguese]. Ciênc Saúde Colet, 2014, 19 (1), 171-191, doi: 10.1590/1413-81232014191.0446.[Crossref]
  • 5. Tenório M.C.M., Barros M.V.G., Tassitano R.M., Bezerra J., Tenório J.M., Hallal P.C., Physical activity and sedentary behavior among adolescent high school students [in Portuguese]. Rev Bras Epidemiol, 2010, 13 (1), 105-117, doi: 10.1590/S1415-790X2010000100010.[Crossref]
  • 6. Martinez Gomez D., Veiga O.L., Zapatera B., Cabanas- Sánchez V., Gomez-Martinez S., Martínez Gómez D. et al., Patterns of sedentary behavior and compliance with public health recommendations in Spanish adolescents: the AFINOS study. Cad Saúde Pública, 2012, 28 (12), 2237-2244, doi: 10.1590/S0102-311X2012001400003.[Crossref]
  • 7. Pelegrini A., Silva R.C.R., Petroski E.L., Relationship of time spent in front of the TV with energy expenditure in adolescents with different percents of body fat [in Portuguese]. Rev Bras Cineantropom Desempenho Hum, 2008, 10 (1), 81-84.
  • 8. Mark A.E., Janssen I., Relationship between screen time and metabolic syndrome in adolescents. J Public Health, 2008, 30 (2), 153-160, doi:10.1093/pubmed/fdn022.[Crossref]
  • 9. Campagnolo P.B.D., Vitolo M.R., Gama C.M., Factors associated with excessive television watching among adolescents [in Portuguese]. Rev Bras Med Esporte, 2008, 14 (3), 197-200, doi: 10.1590/S1517-86922008000300007.[WoS][Crossref]
  • 10. Eaton D.K., Kann L., Kinchen S., Shanklin S., Ross J., Hawkins J. et al., Youth risk behavior surveillance - United States, 2009. MMWR Surveill Summ, 2010, 59 (5), 1-142.
  • 11. Hancox R.J., Milne B.J., Poulton R., Association between child and adolescent television viewing and adult health: a longitudinal birth cohort study. Lancet, 2004, 364 (9430), 257-262, doi: 10.1016/S0140-6736(04)16675-0.[Crossref]
  • 12. World Health Organization, Inequalities young people’s health: key findings from the Health Behaviour in School-aged Children (HBSC) 2005/2006 survey. Fact sheet. WHO, Copenhagen, 17 June 2008.
  • 13. Salmon J., Tremblay M.S., Marshall S.J., Hume C., Health risks, correlates, and interventions to Reduce Sedentary Behavior in Young People. Am J Prev Med, 2011, 41 (2), 197-206, doi: 10.1016/j.amepre.2011.05.001.[Crossref]
  • 14. Vasques D.G., Lopes A.S., Physical activity and sedentary behaviors associated factors in adolescents [in Portuguese]. Rev Bras Cineantropom Desempenho Hum, 2009, 11 (1), 59-66, doi: 10.5007/1980-0037.2009v11n1p59.[Crossref]
  • 15. Olds T.S., Maher C.A., Ridley K., Kittel D.M., Descriptive epidemiology of screen and non-screen sedentary time in adolescents: a cross sectional study. Int J Behav Nutr Phys Act, 2010, 7, 1-9, doi: 10.1186/1479-5868-7-92.[Crossref][WoS]
  • 16. Ramirez E.R., Norman G.J., Rosenberg D.E., Kerr J., Saelens B.E., Durant N. et al., Adolescent Screen Time and Rules to Limit Screen Time in the Home. J Adolesc Health, 2011, 48 (4), 379-385, doi: 10.1016/j.jadohealth. 2010.07.013.[Crossref][WoS]
  • 17. Brazilian Institute of Geography and Statics (IBGE). Population Census 2010 [in Portuguese]. Available form: http://www.cidades.ibge.gov.br/xtras/perfil.php?lang=&codmun=421590. [Accessed: 2015, January 18].
  • 18. Brazilian Association of Research Companies (ABEP). Criteria for Economic Ranking in Brazil [in Portuguese], 2010. Available from: http://iestrategy.com/main/wp-content/uploads/2010/02/CCEB.pdf [Accessed: 2011, July 17].
  • 19. Youth risk behavior survey. State and local youth risk behavior survey. Centers for Disease and Control, 2005. Available from: http://www.cdc.gov/HealthyYouth/yrbs/pdfs/2005highschoolquestionnaire.pdf [Accessed: 2005, April 30].
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  • 21. Welk G.J., Meredith M. (eds.), Fitnessgram/Activitygram reference guide (3rd ed.). The Cooper Institute, Dallas 2008.
  • 22. Taylor R.W., Jones I.E., Williams S.M., Goulding A., Evaluation of waist circumference, waist-to-hip ratio, and the conicity index as screening tools for high trunk fat mass, as measured by dual-energy X-ray absorptiometry, in children aged 3-19 y. Am J Clin Nutr, 2000, 72 (2), 490-495.
  • 23. Marfell-Jones M., Olds T., Stewart A., Carter J.E.L., International standards for anthropometric assessment. The International Society for the Advancement of Kinanthropometry, Potchefstroom, South Africa 2006.
  • 24. Slaughter M.H., Lohman T.G., Boileau R.A., Horswill C.A., Stillman R.J., Van Loan M.D. et al., Skinfold equations for estimation of body fatness in children and youth. Am J Hum Biol, 1988, 60 (5), 709-723.
  • 25. Fitnessgram, Standards for healthy fitness zone revision 8.6 and 9.x. The Cooper Institute, Dallas 2010. Available from: http://staffweb.esc12.net/~mbooth/resources_general/Coordinated_Fitness%20Gram/NewStandards_11/Updates_FitnessGram.pdf [Accessed: 2011, November 20].
  • 26. Leger L.A., Mercier D., Gadoury C., Lambert J., The multistage 20 meter shuttle run test for aerobic fitness. J Sports Sci, 1988,6(2), 93-101, doi: 10.1080/02640418808729800.[Crossref]
  • 27. Gore C., Norton K., Olds T., Whittingham N., Birchall K., Clough M. et al., Certification in anthropometry: an Australian model. In: Norton K., Olds T. (eds.), Anthropometrics. Artmed, Porto Alegre 2005, 375-388.
  • 28. Victora C.G., Huttly S.R., Fuchs S.C., Olinto M.T., The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol, 1997, 26 (1), 224-227, doi: 10.1093/ije/26.1.224.[Crossref]
  • 29. Stamatakis E., Hamer M., Dunstan D.W., 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), 292-299, doi: 10.1016/j.jacc.2010.05.065.[Crossref]
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.-psjd-doi-10_1515_humo-2015-0022
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