DOI QR코드

DOI QR Code

Associations between dietary patterns and screen time among Korean adolescents

  • Lee, Jae Yeon (Department of Foods and Nutrition, College of Natural Sciences, Kookmin University) ;
  • Jun, Nuri (Department of Foods and Nutrition, College of Natural Sciences, Kookmin University) ;
  • Baik, Inkyung (Department of Foods and Nutrition, College of Natural Sciences, Kookmin University)
  • Received : 2013.03.22
  • Accepted : 2013.06.21
  • Published : 2013.08.01

Abstract

Data are limited on the association between dietary patterns and screen time among Korean adolescents. The present study identified dietary patterns of 691 adolescents, aged 13-18 years, who had participated in the Third Korean National Health and Nutrition Examination Survey (KNHANES III) and analyzed their associations with screen time. Screen time was defined as the time spent watching TV, using a computer, or playing video games was calculated as a sum of all these times. Dietary patterns and their factor scores were derived from a food frequency questionnaire using the factor analysis method. To analyze the association between dietary patterns and screen time, we conducted multiple linear regression analysis. We also performed multiple logistic regression analysis to estimate odds ratios (OR) of excessive screen time (2 hours or longer per day) and 95% confidence intervals (CI). We identified 2 dietary patterns labeled "the Korean healthy dietary pattern" and "the Western diet and fast foods pattern". The former included mixed grains, legumes, potatoes, red meat, eggs, fish, dairy products, fruits, vegetables, seaweeds, and mushrooms, whereas the latter included noodles, bread, red meat, poultry, fast foods, snack, and soft drinks. After controlling for potential confounding factors, factor scores for the Korean healthy dietary pattern were inversely associated (P-value for trend < 0.01) and those for the Western diet and fast foods pattern were positively associated with the screen time (P-value for trend < 0.01). Adolescents in the top tertile of the scores for the Korean healthy dietary pattern had a multivariable-adjusted OR [95% CI] of 0.44 (0.25-0.75) for excessive screen time compared with those in the lowest tertile. On the basis of these findings, adolescents who have excessive screen time may need to be encouraged to consume a more healthy diet.

Keywords

References

  1. Kim JA, Kim SM, Lee JS, Oh HJ, Han JH, Song YJ, Joung HJ, Park HS. Dietary patterns and the metabolic syndrome in Korean adolescents: 2001 Korean National Health and Nutrition Survey. Diabetes Care 2007;30:1904-5. https://doi.org/10.2337/dc06-2591
  2. Mun Y. The State and Factors Associated with the Level of Physical Activity and Exercise in Adolescents. Journal of Korea Academy of Public Health Nursing 2007;21:75-84.
  3. American Academy of Pediatrics. Committee on Public Education. American Academy of Pediatrics: Children, adolescents, and television. Pediatrics 2001;107:423-6. https://doi.org/10.1542/peds.107.2.423
  4. Foltz JL, Cook SR, Szilagyi PG, Peggy Auinger, Stewart PA, Sophie Bucher, Dipl, Baldwin CD. US adolescent nutrition, exercise, and screen time baseline levels prior to national recommendations. Clin Pediatr 2011;50:424-33. https://doi.org/10.1177/0009922810393499
  5. Manios Y, Kondaki K, Kourlaba G, Grammatikaki E, Birbilis M, Ioannou E. Television viewing and food habits in toddlers and preschoolers in Greece: the GENESIS study. Eur J Pediatr 2009; 168:801-8. https://doi.org/10.1007/s00431-008-0838-3
  6. Pearson N, Biddle SJ. Sedentary behavior and dietary intake in children, adolescents, and adults. A systematic review. Am J Prev Med 2011;41:178-88. https://doi.org/10.1016/j.amepre.2011.05.002
  7. Giammattei J, Blix G, Marshak HH, Wollitzer AO, Pettitt DJ. Television watching and soft drink consumption: associations with obesity in 11- to 13-year-old schoolchildren. Arch Pediatr Adolesc Med 2003;157:882-6. https://doi.org/10.1001/archpedi.157.9.882
  8. Charreire H, Kesse-Guyot E, Bertrais S, Simon C, Chaix B, Weber C, Touvier T, Galan P, Hercberg S, Oppert JM. Associations between dietary patterns, physical activity [leisure-time and occupational] and television viewing in middle-aged French adults. Br J Nutr 2011;105:902-10. https://doi.org/10.1017/S000711451000440X
  9. Aranceta J, Perez-Rodrigo C, Ribas L, Serra-Majem L. Sociodemographic and lifestyle determinants of food patterns in Spanish children and adolescents: the enKid study. Eur J Clin Nutr 2003;57 Suppl 1:S40-4. https://doi.org/10.1038/sj.ejcn.1601813
  10. Bibiloni Mdel M, Martinez E, Llull R, Pons A, Tur JA. Western and Mediterranean dietary patterns among Balearic Islands' adolescents: socio-economic and lifestyle determinants. Public Health Nutr 2012;15:683-92. https://doi.org/10.1017/S1368980011002199
  11. The future of the internet economy, a statistical profile [Internet]. The document for the OECD high-level meeting on "The Internet Economy: Generating Innovation and Growth"; 2011 June 28-29. Available from: http://www.oecd.org/internet/ieconomy/48255770.pdf
  12. Ahn Y, Kwon E, Shim JE, Park MK, Joo Y, Kimm K, Park C, Kim DH. Validation and reproducibility of food frequency questionnaire for Korean genome epidemiologic study. Eur J Clin Nutr 2007;61:1435-41. https://doi.org/10.1038/sj.ejcn.1602657
  13. Na YJ, Lee SH. Development and validation of a quantitative food frequency questionnaire to assess nutritional status in Korean adults. Nutr Res Pract 2012;6:444-50. https://doi.org/10.4162/nrp.2012.6.5.444
  14. Kim J, Jo I. Grains, vegetables, and fish dietary pattern is inversely associated with the risk of metabolic syndrome in South korean adults. J Am Diet Assoc 2011;111:1141-9. https://doi.org/10.1016/j.jada.2011.05.001
  15. Song Y, Park MJ, Paik HY, Joung H. Secular trends in dietary patterns and obesity-related risk factors in Korean adolescents aged 10-19 years. Int J Obes 2010;34:48-56. https://doi.org/10.1038/ijo.2009.203
  16. Ambrosini GL, Oddy WH, Robinson M, O'Sullivan TA, Hands BP, de Klerk NH, Silburn SR, Zubrick SR, Kendall GE, Stanley FJ, Beilin LJ. Adolescent dietary patterns are associated with lifestyle and family psycho-social factors. Public Health Nutr 2009;12:1807-15. https://doi.org/10.1017/S1368980008004618
  17. Rodrigues PR, Pereira RA, Cunha DB, Sichieri R, Ferreira MG, Vilela AA, Gonçalves-Silva RM. Factors associated with dietary patterns in adolescents: a school-based study in Cuiabá, Mato Grosso. Rev Bras Epidemiol 2012;15:662-74. https://doi.org/10.1590/S1415-790X2012000300019
  18. Odegaard AO, Koh WP, Yuan JM, Gross MD, Pereira MA. Western-style fast food intake and cardiometabolic risk in an Eastern country. Circulation. 2012;126:182-8. https://doi.org/10.1161/CIRCULATIONAHA.111.084004
  19. Fung T, Hu FB, Fuchs C, Giovannucci E, Hunter DJ, Stampfer MJ, Colditz GA, Willett WC. Major dietary patterns and the risk of colorectal cancer in women. Arch Intern Med 2003;163: 309-14. https://doi.org/10.1001/archinte.163.3.309
  20. Pedro Carrera-Bastos, Maelan Fontes-Villalba, James H O'Keefe, Staffan Lindeberg, Loren Cordain. The western diet and lifestyle and diseases of civilization. Research Reports in Clinical Cardiology 2011:2:15-35.
  21. Howard AL, Robinson M, Smith GJ, Ambrosini GL, Piek JP, Oddy WH. ADHD is associated with a "Western" dietary pattern in adolescents. J Atten Disord. 2011;15:403-11. https://doi.org/10.1177/1087054710365990
  22. Joung H, Hong S, Song Y, Ahn BC, Park MJ. Dietary patterns and metabolic syndrome risk factors among adolescents. Korean J Pediatr 2012;55:128-35. https://doi.org/10.3345/kjp.2012.55.4.128

Cited by

  1. Sedentary behaviour and diet across the lifespan: an updated systematic review vol.49, pp.18, 2014, https://doi.org/10.1136/bjsports-2014-093754
  2. Obesity in relation to oral health behaviors: An analysis of the Korea National Health and Nutrition Examination Survey 2008-2010 vol.12, pp.5, 2016, https://doi.org/10.3892/etm.2016.3697
  3. Associations between physical activity patterns and dietary patterns in a representative sample of Polish girls aged 13-21 years: a cross-sectional study (GEBaHealth Project) vol.16, pp.1, 2016, https://doi.org/10.1186/s12889-016-3367-4
  4. Majoring in nutrition influences BMI of female college students vol.5, pp.2048-6790, 2016, https://doi.org/10.1017/jns.2015.24
  5. Prevalence, Risk Factors and Comorbidities of Allergic Rhinitis in South Korea: The Fifth Korea National Health and Nutrition Examination Survey vol.28, pp.2, 2014, https://doi.org/10.2500/ajra.2014.28.4040
  6. Joint Association of Screen Time and Physical Activity with Obesity: Findings from the Korea Media Panel Study vol.9, pp.4, 2018, https://doi.org/10.24171/j.phrp.2018.9.4.10