Association between screen time and dietary patterns and overweight/obesity among adolescents

Authors

  • Maria Gabriela Matias de PINHO Universidade Federal de Santa Catarina
  • Fernando ADAMI Faculdade de Medicina do ABC
  • Jucemar BENEDET Universidade Federal de Santa Catarina
  • Francisco de Assis Guedes de VASCONCELOS Universidade Federal de Santa Catarina

Keywords:

Adolescents, Food behavior, Obesity, Overweight

Abstract

Objective
The association between screen time and dietary patterns and overweight/obesity among adolescents was analysed in this study.

Methods
In this cross-sectional study, 963 Brazilian adolescents, aged between 11 and 14 years were evaluated. Body mass index was used to assess overweight/obesity. Dietary patterns and screen time were assessed using qualitative questionnaires. Principal component analysis was used to obtain dietary patterns. Confounder variables were: type of school (public or private), sexual maturation, mother’s weight and mother’s education. The Chi-square test was used for the crude analysis; for the adjusted analysis was used Poisson regression with sample weighting.

Results
Overweight/obesity prevalence was 29.8% and statistically higher among boys (34.7%). Higher screen time prevalence was 39.1%. The dietary patterns obtained were: obesogenic; coffee and dairy products; traditional Brazilian meal; fruit and vegetables; bread and chocolate milk. The dietary pattern that more closely represented student food consumption was the obesogenic pattern. Screen time was not significantly associated with overweight/obesity. The obesogenic pattern (in both sexes), the coffee and dairy products pattern, and thebread and chocolate milk pattern (only in girls), were inversely associated with overweight/obesity. In this study, dietary patterns influenced overweight/obesity, although in some cases, in an inverse way from what expected.

Conclusion
A high prevalence of overweight/obesity and a high proportion of screen time activities among the adolescents were observed. Our results indicate a high consumption of unhealthy dietary pattern among adolescents. 

References

Olds T, Maher C, Zumin S, Peneau S, Lioret S, Castetbon K, et al. Evidence that the prevalence of childhood overweight is plateauing: Data from nine countries. J Pediatr Obes. 2011;6(5-6):342-60. https://doi.org/10.3109/17477166.2011.605895

Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384(9945):766-81. https//:doi.org/10.1016/S0140-6736(14)60460-8

Instituto Brasileiro de Geografia e Estatística. Pesquisa de orçamentos familiares 2008-2009: antropometria e estado nutricional de crianças, adolescentes e adultos do Brasil. Rio de Janeiro: IBGE; 2010.

Inge TH, King WC, Jenkins TM, Courcoulas AP, Mitsnefes M, Flum DR, et al. The effect of obesity in adolescence on adult health status. Pediatrics. 2013;132(6):1098-104. https://doi.org/10.1542/peds.2013-2185

Currie C, Zanotti C, Morgan A, Currie D, Looze M, Roberts C, et al. Social determinants of health and well-being among young people. Health Behaviour in School-aged Children (HBSC) study: International report from the 2009/2010 survey. Copenhagen: WHO Regional Office for Europe; 2012.

Enes CC, Slater B. Obesidade na adolescência e seus principais fatores determinantes. Rev Bras Epidemiol. 2010;13(1):163-71. https://doi.org/10.1590/S1415-790X2010000100015

Instituto Brasileiro de Geografia e Estatística. Pesquisa Nacional de Saúde do Escolar – PeNSE 2012. Rio de Janeiro: IBGE; 2013.

Viner RM, Cole TJ. Who changes body mass between adolescence and adulthood? Factors predicting change in BMI between 16 year and 30 years in the 1970 British Birth Cohort. Int J Obes, 2006;30(9):1368-74. https//:doi.org/10.1038/sj.ijo.0803183

Mamun AA, O’Callaghan MJ, Williams G, Najman JM. Television watching from adolescence to adulthood and its association with BMI, waist circumference, waist-to-hip ratio and obesity: A longitudinal study. Public Health Nutr. 2013;16(1):54-64. https//:doi.org/10.1017/S1368980012002832

Tavares LF, Castro IRR, Levy RB, Cardoso LO, Claro RM. Dietary patterns of Brazilian adolescents: Results of the Brazilian National School-Based Health Survey (PeNSE). Cad Saúde Pública. 2014;30(12):2679-90. https://doi.org/10.1590/0102-311x00016814

Hu FB. Dietary pattern analysis: A new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13(1):3-9. https//:doi.org/10.1097/00041433-200202000-00002

Chinapaw M, Altenburg T, Brug J. Sedentary behaviour and health in children: Evaluating the evidence. Prev Med. 2015;70:1-2. https//:doi.org/10.1016/j.ypmed.2014.10.029

Mihas C, Mariolis A, Manios Y, Naska A, Panagiotakos D, Arapaki A, et al. Overweight/obesity and factors associated with body mass index during adolescence: The VYRONAS study. Acta Paediatrica. 2009;98(3):495-500. https//:doi.org/10.1111/j.1651-2227.2008.01129.x

Motter AF, Vasconcelos FA, Correa EN, Andrade DF. Pontos de venda de alimentos e assiciação com sobrepeso/obesidade em escolares de Florianopolis, Santa Catarina, Brasil. Cad Saúde Pública. 2015;31(3):620-32. https//:doi.org/10.1590/0102-311X00097814

World Health Organization. Growth reference data for 5-19 years. Geneva: WHO; 2007.

Assis MAA, Benedet JR, Vasconcelos FAG, Pietro PF, Kupek E. Validação da terceira versão do Questionário Alimentar do Dia Anterior (Quada-3) para escolares de 6 a 11 anos. Cad Saúde Pública. 2009;25(8):1816-26. https://doi.org/10.1590/S0102-311X2009000800018

Jolliffe IT. Principal component analysis. New York: Springer; 2010.

American Academy of Pediatrics. Council on Communications and Media. Children, adolescents, and the media. Pediatrics. 2013;132(5):958-61. https://doi.org/10.1542/peds.2013-2656

Malina RM, Bouchard C. Growth, maturation, and physical activity. 2nd ed. Illinois: Human Kinetics Books; 2004.

Adami F, Vasconcelos FAG. Obesidade e maturação sexual precoce em escolares de Florianópolis-SC. Rev Bras Epidemiol. 2008;11(4):549-60. https//:doi.org/10.1590/S1415-7 90X2008000400004

Minghelli B, Nunes C, Oliveira R. Prevalence of overweight and obesity in portuguese adolescents: Comparison of different anthropometric methods. North Am J Med Sci. 2013;5(11):653-9. https://doi.org/10.4103/1947-2714.122309

Wrotniak BH, Malete L, Maruapula SD, Jackson J, Shaibu S, Ratcliffe S, et al. Association between socioeconomic status indicators and obesity in adolescent students in Botswana, an African country in rapid nutrition transition. Pediatr Obes. 2012;7(2):e9-e13. https//:doi.org/10.1111/j.2047-6310.2011.00023.x

Zaghloul S, Al-Hooti SN, Al-Hamad N, Al-Zenki S, Alomirah H, Alayan I, et al. Evidence for nutrition transition in Kuwait: Over-consumption of macronutrients and obesity. Public Health Nutr. 2013;16(4):596-607. https//:doi.org/10.1017/S1368980012003941

Barros MS, Fonseca VM, Meio MDBB, Chaves CR. Excesso de peso entre adolescentes em zona rural e a alimentação escolar oferecida. Cad Saúde Coletiva. 2013;21(2):201-8. https://doi.org/10.1590/S1414-462X2013000200016

Silva Júnior LM, Santos AP, Souza OF, Farias ES. Prevalência de excesso de peso e fatores associados em adolescentes de escolas privadas de região urbana na Amazônia. Rev Paul Pediatr. 2012;30(2):217-22. https://doi.org/10.1590/S0103-05822012000200010

Vasconcellos MB, Anjos LA, Vasconcellos MTL. Estado nutricional e tempo de tela de escolares da Rede Pública de Ensino Fundamental de Niterói, Rio de Janeiro, Brasil. Cad Saúde Pública. 2013;29(4):713-22. https//:doi.org/10.1590/S0102-311X2013000400009

Maher C, Olds TS, Eisenmann JC, Dollman J. Screen time is more strongly associated than physical activity with overweight and obesity in 9- to 16-year-old Australians. Acta Paediatrica. 2012;101(11):1170-4. https://doi.org/10.1111/j.1651-2227.2012.02804.x

Thibault H, Contrand B, Saubusse E, Baine M, Maurice-Tison S. Risk factors for overweight and obesity in French adolescents: Physical activity, sedentary behavior and parental characteristics. Nutrition. 2010;26(2):192-200. https://doi.org/10.1016/j.nut.2009.03.015

Al-Haifi AR, Al-Fayez MA, Al-Athari BI, Al-Ajmi FA, Allafi AR, Al-Hazzaa HM, et al. Relative contribution of physical activity, sedentary behaviors, and dietary habits to the prevalence of obesity among Kuwaiti adolescents. Food Nutri Bull. 2013;34(1). https//:doi.org/10.5539/gjhs.v8n1p107

Nogueira JAD, Costa THM. Gender differences in physical activity, sedentary behavior, and their relation to body composition in active Brazilian adolescents. J Physi Act Health. 2009;6:93-8. https://doi.org/10.1123/jpah.6.1.93

Silva KS, Nahas MV, Hoefelmann LP, Lopes AS, Oliveira ES. Associações entre atividade física, índice de massa corporal e comportamentos sedentários em adolescentes. Rev Bras Epidemiol. 2008;11(1):158-68. https://doi.org/10.1590/S1415-790X2008000100015

Benedet J, Assis MAA, Calvo MCM, Andrade DF. Excesso de peso em adolescentes: explorando potenciais fatores de risco. Rev Paul Pediatr. 2013;31(2):172-81. https://doi.org/10.1590/S0103-05822013000200007

Nasreddine L, Naja F, Akl C, Chamieh MC, Karam S, Sibai AM, et al. Dietary, lifestyle and socioeconomic correlates of overweight, obesity and central adiposity in Lebanese children and adolescents. Nutrients. 2014;6(3):1038-62. https://doi.org/10.3390/nu6031038

Monteiro CA, Levy RB, Claro RM, de Castro IR, Cannon G. Increasing consumption of ultraprocessed foods and likely impact on human health: Evidence from Brazil. Public Health Nutr. 2011;14(1):5-13. https://doi.org/10.1017/S1368980010003241

D’Avila GL, Silva DA, de Vasconcelos FA. Associação entre cosumo alimentar, atividade física, fatores socioeconômicos e percentual de gordura corporal em escolares. Ciênc Saúde Coletiva. 2016;21(4):1071-81. https://doi.org/10.15 90/141 3-81232015214.13722015

Dupuy M, Godeau E, Vignes C, Ahluwalia N. Socio-demographic and lifestyle factors associated with overweight in a representative sample of 11-15 year olds in France: Results from the WHOCollaborative Health Behaviour in School-aged Children (HBSC) cross-sectional study. BMC Public Health. 2011;11:442. https://doi.org/10.1186/1471-2458-11-442

Pinho L, Silveira MF, Botelho AC, Caldeira AP. Identification of dietary patterns of adolescents attending public schools. J Pediatr. 2014;90(3):267-72. https://doi.org/10.1016/j.jped.2013.04.006

Rieth MA, Moreira MB, Fuchs FD, Moreira LB, Fuchs SC. Fruits and vegetables intake and characteristics associated among adolescents from Southern Brazil. Nutri J. 2012;11:95. https://doi.org/10.1186/1475-2891-11-95

Musaiger AO, Al-Roomi K, Bader Z. Social, dietary and lifestyle factors associated with obesity among Bahraini adolescents. Appetite. 2014;73:197-204. https://doi.org/10.1016/j.appet.2013.11.002

Bere E, Klepp KI, Overby NC. Free school fruit: Can an extra piece of fruit every school day contribute to the prevention of future weight gain? A cluster randomized trial. Food Nutr Res. 2014;58. https://doi.org/10.3402/fnr.v58.23194

Colucci ACA, Cesar CLG, Marchioni DML, Fisberg RM. Relação entre o consumo de açúcares de adição e a adequação da dieta de adolescentes residentes no município de São Paulo. Rev Nutr. 2011;24(2):219-31. https://doi.org/10.1590/S1415-52732011000200003

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Published

2023-03-16

How to Cite

Matias de PINHO, M. G. ., ADAMI, F. ., BENEDET, J. ., & de Assis Guedes de VASCONCELOS, F. . (2023). Association between screen time and dietary patterns and overweight/obesity among adolescents. Brazilian Journal of Nutrition, 30(3). Retrieved from https://puccampinas.emnuvens.com.br/nutricao/article/view/7868

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ORIGINAL ARTICLE