Asociaciones entre tiempo sedentario de pantalla y rendimiento académico en adolescentesPROYECTO DADOS

  1. Adelantado-Renau, M 1
  2. Beltrán-Valls, M.R. 1
  3. Monzonís-Carda, I 1
  4. Bellmunt-Villalonga, H. 1
  5. Linares-Ayala, N 1
  6. Moliner-Urdiales, D 1
  1. 1 Universitat Jaume I
    info

    Universitat Jaume I

    Castelló de la Plana, España

    ROR https://ror.org/02ws1xc11

Journal:
Journal of sport and health research

ISSN: 1989-6239

Year of publication: 2020

Volume: 12

Issue: 3

Pages: 7-7

Type: Article

DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Journal of sport and health research

Abstract

Sedentary screen media usage is currently the most popular leisure time sedentary behaviour among adolescents and is associated with multiple adverse health consequences. A growing body of evidence has suggested that screen media usage could also influence academic performance, showing inconclusive results. Therefore, the aim of the present study was to analyse the association between sedentary screen media usage and academic performance in physically active adolescents. A total of 264 adolescents from the DADOS (Deporte, ADOlescencia y Salud) study were included in the analyses. Sedentary screen media usage was self- reported by adolescents (i.e., time spent in video games, internet, mobile phone and television). Academic performance was assessed through the Science Research Associates Test of Educational Abilities for assessing cognitive abilities (i.e., verbal, numeric, reasoning and global), and through the final school grades (i.e., math, language and grade point average). Our results show that sedentary internet use time was inversely associated with school grades, reasoning ability and overall cognitive ability, and mobile phone use time was negatively related to grade point average. These findings suggest that programs aimed to promote the responsible use of new technologies among youth may result beneficial for academic performance.

€ View funding

Funding information

Los autores agradecen a todos los adolescentes su participación en el estudio, y a todos los investigadores del grupo LIFE el trabajo realizado en la toma de datos. Este trabajo ha sido financiado por el MINECO (Dep2013-45515-R), por la Universidad Jaume I de Castellón (UJI; P1·1A2015-05), y por una beca de investigación Sunny Sport de la compañía Schweppes Suntory España. M.A.R cuenta con una beca Predoctoral de la UJI (PREDOC/2015/13).

Funders

Bibliographic References

  • Aguilar, M. M., Vergara, F. A., Velásquez, E. J. A., Marina, R., & García-Hermoso, A. (2015). Screen time impairs the relationship between physical fitness and academic attainment in children. Jornal de Pediatria, 91(4), 339–345.
  • Andersen, S. L. (2016). Commentary on the special issue on the adolescent brain: Adolescence, trajectories, and the importance of prevention. Neuroscience and Biobehavioral Reviews, 70, 329–333.
  • Beltran-Valls, M. R., Adelantado-Renau, M., Castro-Piñero, J., Sánchez-López, M., & Moliner-Urdiales, D. (2018). Cardiorespiratory fitness and academic performance association is mediated by weight status in adolescents: DADOS study. European Journal of Pediatrics, 177(7), 1037–1043.
  • Beltran-Valls, M. R., García Artero, E., Capdevila-Seder, A., Legaz-Arrese, A., Adelantado-Renau, M., & Moliner-Urdiales, D. (2017). Regular Practice of Competitive Sports Does Not Impair Sleep in Adolescents: DADOS Study. Pediatric Exercise Science, 30(2), 229-236.
  • Cooper, A. R., Goodman, A., Page, A. S., Sherar, L. B., Esliger, D. W., Van Sluijs, E. Andersen, L. B., Anderssen, S., Cardon, G., Davey, R., Froberg, K., Hallal, P., Janz, K. F., Kordas, K., Kreimler, S., Pate, R., Puder, J., Reilly, J., Salmon, J., Sardinha, L. B., Timperio, A. M., & Ekelund, U. (2015). Objectively measured physical activity and sedentary time in youth: the International children’s accelerometry database (ICAD). International Journal of Behavioral Nutrition and Physical Activity, 12(1), 113.
  • Crespo, C. J., Smit, E., Troiano, R. P., Bartlett, S. J., Macera, C. a, & Andersen, R. E. (2001). Television Watching, Energy Intake, and Obesity in US Children. Arch. Pediatr. Adolesc. Med., 155, 360–365.
  • Currie, C., Molcho, M., Boyce, W., Holstein, B., Torsheim, T., & Richter, M. (2008). Researching health inequalities in adolescents: The development of the Health Behaviour in School-Aged Children (HBSC) Family Affluence Scale. Soc Sci Med, 66(6), 1429-1436.
  • Dalene, K. E., Anderssen, S. A., Andersen, L. B., Steene-Johannessen, J., Ekelund, U., Hansen, B. H., & Kolle, E. (2017). Crosssectional and prospective associations between physical activity, body mass index and waist circumference in children and adolescents. Obesity Science & Practice, 3(3), 249–257.
  • Donnelly, J. E., Hillman, C. H., Castelli, D. M., Etnier, J. L., Lee, S., Tomporowski, P., Lambourne, K., & Szabo-reed, A. N. (2016). Physical Activity, Fitness, Cognitive Function, and Academic Achievement in Children: A Systematic Review. Medicine and Science in Sports and Exercise, 48(6), 1197–1222.
  • Esteban-Cornejo, I., Martinez-Gomez, D., Sallis, J. F., Cabanas-Sánchez, V., Fernández-Santos, J., Castro-Piñero, J., & Veiga, O. L. (2015). Objectively measured and self-reported leisure-time sedentary behavior and academic performance in youth: The UP&DOWN Study. Preventive Medicine, 77, 106–111.
  • Esteban-Cornejo, I., Tejero-Gonzalez, C. M., Sallis, J. F., & Veiga, O. L. (2015). Physical activity and cognition in adolescents: A systematic review. Journal of Science and Medicine in Sport, 18(5), 534–539.
  • French, M. T., Homer, J. F., Popovici, I., & Robins, P. K. (2015). What You Do in High School Matters: High School GPA, Educational Attainment, and Labor Market Earnings as a Young Adult. Eastern Economic Journal, 41(3), 370–386.
  • Garcia-Continente, X., Pérez-Giménez, A., Espelt, A., & Nebot Adell, M. (2013). Factors associated with media use among adolescents: a multilevel approach. European Journal of Public Health, 24(1), 5–10.
  • Gracia-Marco, L., Moreno, L. A., Ruiz, J. R., Ortega, F. B., de Moraes, A. C. F., Gottrand, F., … Wells, J. C. (2016). Body Composition Indices and Single and Clustered Cardiovascular Disease Risk Factors in Adolescents: Providing Clinical-Based CutPoints. Progress in Cardiovascular Diseases, 58(5), 555–564.
  • Gunnarsdottir, T., Njardvik, U., Olafsdottir, A. S., Craighead, L. W., & Bjarnason, R. (2012). Teasing and social rejection among obese children enrolling in family-based behavioural treatment: effects on psychological adjustment and academic competencies. International Journal of Obesity, 36(1), 35–44.
  • Hardy, L. L., Denney-wilson, E., Thrift, A. P., Okely, A. D., & Baur, L. A. (2010). Screen Time and Metabolic Risk Factors Among Adolescents. Arch Pediatr Adolesc Med, 164(7), 643–649.
  • Hirvensalo, M., & Lintunen, T. (2011). Lifecourse perspective for physical activity and sports participation. European Review of Aging and Physical Activity, 8(1), 13–22.
  • Hysing, M., Pallesen, S., Stormark, K. M., Jakobsen, R., Lundervold, A. J., & Sivertsen, B. (2015). Sleep and use of electronic devices in adolescence: results from a large population-based study. BMJ Open, 5(1), e006748.
  • Jackson, L. A., Von Eye, A., Witt, E. A., Zhao, Y., & Fitzgerald, H. E. (2011). A longitudinal study of the effects of Internet use and videogame playing on academic performance and the roles of gender, race and income in these relationships. Computers in Human Behavior, 27(1), 228–239.
  • Kiatrungrit, K., & Hongsanguansri, S. (2014). Cross-sectional study of use of electronic media by secondary school students in Bangkok, Thailand. Shanghai Archives of Psychiatry, 26(4), 216–226.
  • Kim, S. Y., Kim, M. S., Park, B., Kim, J. H., & Choi, H. G. (2017). The associations between internet use time and school performance among Korean adolescents differ according to the purpose of internet use. PLoS ONE, 12(4), 1–14.
  • Kubiszewski, V., Fontaine, R., Rusch, E., & Hazouard, E. (2014). Association between electronic media use and sleep habits: an eight-day follow-up study. International Journal of Adolescence and Youth, 19(3), 395–407.
  • Kühn, S., Lorenz, R., Banaschewski, T., Barker, G. J., Büchel, C., Conrod, P. J., Flor, H., Garavan, H., Ittermann, B., Loth, E., Mann, K., Nees, F., Artiges, E., Paus, T., Rietschel, M., Smolka, M. N., Ströhle, A., Walaszek, B. Schumann, G., Heinz, A. & Gallinat, J. (2014). Positive association of video game playing with left frontal cortical thickness in adolescents. PLoS ONE, 9(3), 5–10.
  • Lê-Scherban, F., Diez Roux, A. V., Li, Y., & Morgenstern, H. (2014). Does academic achievement during childhood and adolescence benefit later health? Annals of Epidemiology, 24(5), 344–355.
  • Levine, L. E., Waite, B. M., & Bowman, L. L. (2007). Electronic Media Use, Reading, and Academic Distractibility in College Youth. CyberPsychology & Behavior, 10(4), 560–566.
  • Marshall, S. J., Gorely, T., & Biddle, S. J. H. (2006). A descriptive epidemiology of screen-based media use in youth: A review and critique. Journal of Adolescence, 29(3), 333–349.
  • Martínez-Gómez, D., Veiga, O. L., GómezMartínez, S., Zapatera, B., MartínezHernández, D., Calle, M. E., & Marcos, A. (2012). Gender-specific influence of health behaviors on academic performance in Spanish adolescents: the AFINOS study. Nutrición Hospitalaria, 27(3), 724–730.
  • Mößle, T., Kleimann, M., Rehbein, F., & Pfeiffer, C. (2010). Media use and school achievement-boys at risk? The British Journal of Developmental Psychology, 28(Pt 3), 699–725.
  • Muñoz-Miralles, R., Ortega-González, R., Batalla-Martínez, C., López-Morón, M. R., Manresa, J. M., & Torán-Monserrat, P. (2014). Acceso y uso de nuevas tecnologías entre los jóvenes de educación secundaria, implicaciones en salud. Estudio JOITIC. Atención Primaria, 46(2), 77–88.
  • OMS. (2010). Global Recommendations on Physical Activity for Health. Geneva. Switzerland: Organización Mundial de la Salud.
  • Ortega, F. B., Ruiz, J. R., Castillo, M. J., & Sjöström, M. (2008). Physical fitness in childhood and adolescence: a powerful marker of health. International Journal of Obesity, 32(1), 1–11.
  • Rey-López, J. P., Vicente-Rodriguez, G., Ortega, F. B., Ruiz, J. R., Martinez-Gómez, D., De Henauw, S., Manios, Y., Molnar, D., Polito, A., Verloigne, M., Castillo, M. J., Sjöström, M., De Bourdeaudhuij, I., & Moreno, L. A. (2010). Sedentary patterns and media availability in European adolescents: The HELENA study. Preventive Medicine, 51(1), 50–55.
  • Rezende, L. F. M. de, Rodrigues Lopes, M., Rey-López, J. P., Matsudo, V. K. R., & Luiz, O. do C. (2014). Sedentary Behavior and Health Outcomes: An Overview of Systematic Reviews. PLoS ONE, 9(8), e105620.
  • Salmela-Aro, K., Upadyaya, K., Hakkarainen, K., Lonka, K., & Alho, K. (2017). The Dark Side of Internet Use: Two Longitudinal Studies of Excessive Internet Use, Depressive Symptoms, School Burnout and Engagement Among Finnish Early and Late Adolescents. Journal of Youth and Adolescence, 46(2), 343–357.
  • Salmon, J., Tremblay, M. S., Marshall, S. J., & Hume, C. (2011). Health Risks, Correlates, and Interventions to Reduce Sedentary Behavior in Young People. American Journal of Preventive Medicine, 41(2), 197–206.
  • Sawyer, S. M., Afifi, R. A., Bearinger, L. H., Blakemore, S.-J., Dick, B., Ezeh, A. C., & Patton, G. C. (2012). Adolescence: a foundation for future health. The Lancet, 379(9826), 1630–1640.
  • Shejwal, B. R., & Purayidathil, J. (2006). Television Viewing of Higher Secondary Students: Does It Affect Their Academic Achievement and Mathematical Reasoning? Psychology & Developing Societies, 18(2), 201–213.
  • Shin, N. (2004). Exploring pathways from television viewing to academic achievement in school age children. Journal of Genetic Psychology, 165(4), 367–382.
  • Syväoja, H. J., Tammelin, T. H., Ahonen, T., Kankaanpää, A., & Kantomaa, M. T. (2014). The Associations of Objectively Measured Physical Activity and Sedentary Time with Cognitive Functions in School-Aged Children. PLoS ONE, 9(7), e103559.
  • Takeuchi, H., Taki, Y., Hashizume, H., Asano, K., Asano, M., Sassa, Y., Yokota, S., Kotozaki, Y., Nouchi, R., & Kawashima, R. (2015). The impact of television viewing on brain structures: Cross-sectional and longitudinal analyses. Cerebral Cortex, 25(5), 1188–1197.
  • Tanner, J. M., & Whitehouse, R. H. (1976). Clinical longitudinal standards for height, weight, height velocity, weight velocity, and stages of puberty. Archives of Disease in Childhood, 51(3), 170–179.
  • Thurstone, L. L., & Thurstone, T. G. (2004). Test de Aptitudes Escolares (Scholar Aptitudes Test) (11th ed., Vol. 77). Madrid: TEA Ediciones S. A.
  • Tremblay, M. S., LeBlanc, A. G., Janssen, I., Kho, M. E., Hicks, A., Murumets, K., Colley, R. C., & Duggan, M. (2011). Canadian Sedentary Behaviour Guidelines for Children and Youth. Applied Physiology, Nutrition, and Metabolism, 36(1), 59–64.
  • Yan, H., Zhang, R., Oniffrey, T. M., Chen, G., Wang, Y., Wu, Y., Zhang, X., Wang, Q., Ma, L., Li, R., & Moore, J. B. (2017). Associations among screen time and unhealthy behaviors, academic performance, and well-being in Chinese adolescents. International Journal of Environmental Research and Public Health, 14(6), 1–15.
Data source: Dialnet