PL EN


Preferences help
enabled [disable] Abstract
Number of results
Journal
2012 | 7 | 4 | 444-449
Article title

The relationship between daily Internet use time and school performance in Korean adolescents

Content
Title variants
Languages of publication
EN
Abstracts
EN
This study investigates whether daily Internet use time is related to the school performance of Korean adolescents. We therefore analyzed raw data from the 2009 Korea Youth Risk Behavior Web-based Survey-V (KYRBWS-V), in which 75,066 students from the middle-school first grade to the high-school third grade participated. We assessed the association between daily Internet use time and school performance by using multivariate logistic regression analysis adjusted for age, body mass index, education level of parents, and economic status of the family. For boys, the odds ratio (OR) [95% confidence interval (CI)] for recording ≥ average school performance and daily time spent on Internet use was 1.876 (1.752–2.008, p < 0.001) for ≤1 hour, 1.564 (1.467–1.667, p < 0.001) for >1–≤2 hours, 1.158 (1.079–1.242, p < 0.001) for >2–≤3 hours, and 0.759 (0.695–0.828, p < 0.001) for over 4 hours, when compared to those who never used the Internet. For girls, the OR (95% CI) for recording ≥ average school performance and daily Internet use time was 1.729 (1.607–1.860, p < 0.001) for ≤1 hour, 1.503 (1.399–1.616, p < 0.001) for >1–≤2 hours, 1.193 (1.100–1.293, p < 0.001) for >2–≤3 hours, and 0.809 (0.725–0.903, p < 0.001) for over 4 hours, when compared to those who never used the Internet. It was concluded that Korean adolescents who spend ≤3 hours per day on the Internet are predisposed to an increase in performance levels at school, whereas those who spend over 4 hours per day on the Internet are predisposed to a decrease in school performance levels.
Publisher
Journal
Year
Volume
7
Issue
4
Pages
444-449
Physical description
Dates
published
1 - 8 - 2012
online
24 - 5 - 2012
References
  • [1] Centers for Disease Control and Prevention (2011). Physical Activity and Health: The Benefits of Physical Activity. Centers for Disease Control and Prevention. http://www.cdc.gov/physicalactivity/everyone/health/index.html
  • [2] Magdalena Kwaśniewska, Dorota Kaleta, Anna Jegier, Tomasz Kostka, Elżbieta Dziankowska-Zaborszczyk, Wojciech Drygas (2011). The weight change impact on metabolic syndrome: a 17-year follow-up study. Central European Journal of Medicine. 6(6): 788–794 http://dx.doi.org/10.2478/s11536-011-0093-2[Crossref]
  • [3] Özlem Seven, Hale Karapolat, Sibel Eyigor, Yesim Kirazlı, Berrin Durmaz (2010). Risk factors for osteoporosis in healthy males. Central European Journal of Medicine. 5(5): 593–600 http://dx.doi.org/10.2478/s11536-009-0111-9[Crossref][WoS]
  • [4] Canoy D, Bundred P (2011). Obesity in children. Clinical Evidence (Online), pii: 0325
  • [5] Park YS, Lee DH, Choi JM, Kang YJ, Kim CH (2004). Trend of obesity in school age children in Seoul over the past 23 years. Korean J Pediatr. 47(3): 247–257
  • [6] Thomas AW, Albert JS (2002). Handbook of obesity treatment (3rd ed.). New York: Guilford Press. USA.
  • [7] World Health Organization (2011). Obesity and Overweight. Global Strategy on Diet, Physical Activity and Health, http://www.who.int/mediacentre/factsheets/fs311/en/
  • [8] Marina Rašić Popovic, Ivan Tasić, Aleksandar Dimić, Sonja Stojanović, Bojana Stamenković, Svetlana Kostić, Dejan Popović, Todorka Savić, Nataša Miladinović Tasić, Snezana Manojlovic, Branislava Ivanović. Correlation between total cardiovascular risk and bone density in postmenopausal women. Central European Journal of Medicine. 6(6): 795–803 [WoS]
  • [9] Ploughman M (2008). Exercise is brain food: the effects of physical activity on cognitive function. Dev Neurorehabil. 11(3): 236–240 http://dx.doi.org/10.1080/17518420801997007[Crossref][WoS]
  • [10] Flöel A, Ruscheweyh R, Krüger K, Willemer C, Winter B, Völker K, Lohmann H, Zitzmann M, Mooren F, Breitenstein C, Knecht S (2010). Physical activity and memory functions: are neurotrophins and cerebral gray matter volume the missing link? Neuroimage. 49(3): 2756–2763 http://dx.doi.org/10.1016/j.neuroimage.2009.10.043[WoS][Crossref]
  • [11] Tremblay MS, Inman JW, Willms JD (2000). The relationship between physical activity, self-esteem, and academic achievement in 12-year-old children. Pediatric Exercise Science. 12: 312–323
  • [12] Welk GJ, Jackson AW, Morrow JR Jr, Haskell WH, Meredith MD, Cooper KH (2010). The association of health-related fitness with indicators of academic performance in Texas schools. Res Q Exerc Sport. 81(3 Suppl): S16–23 [Crossref][WoS]
  • [13] Coe DP, Pivarnik JM, Womack CJ, Reeves MJ, Malina RM (2006). Effect of physical education and activity levels on academic achievement in children. Med Sci Sports Exerc. 38(8): 1515–1519 http://dx.doi.org/10.1249/01.mss.0000227537.13175.1b[Crossref]
  • [14] Fox CK, Barr-Anderson D, Neumark-Sztainer D, Wall M (2010). Physical activity and sports team participation: associations with academic outcomes in middle school and high school students. J Sch Health. 80(1): 31–37 http://dx.doi.org/10.1111/j.1746-1561.2009.00454.x[Crossref]
  • [15] Internet World Stats (2011). Internet Usage Statistics: World Internet Users and Population Stats. http://www.internetworldstats.com/
  • [16] Korea Centers for Disease Control and Prevention (2011). Korea Health Statistics 2010: Korea National Health and Nutrition Examination Survey-V (KNHANESIV-V). Korea Centers for Disease Control and Prevention. http://knhanes.cdc.go.kr/
  • [17] Korea Centers for Disease Control and Prevention (2010). The Statistics of 5th Korea Youth Risk Behavior Web-based Survey (KYRBWS) in 2009. Korea Centers for Disease Control and Prevention. http://yhs.cdc.go.kr/
  • [18] Bae J, Joung H, Kim JY, Kwon KN, Kim YT, Park SW (2010). Test-retest reliability of a questionnaire for the Korea Youth Risk Behavior Web-based Survey. J Prev Med Public Health, 43(5): 403–410. http://dx.doi.org/10.3961/jpmph.2010.43.5.403[Crossref]
  • [19] Bae J, Joung H, Kim JY, Kwon KN, Kim Y, Park SW (2010). Validity of self-reported height, weight, and body mass index of the Korea Youth Risk Behavior Web-based Survey questionnaire. J Prev Med Public Health, 43(5): 396–402 http://dx.doi.org/10.3961/jpmph.2010.43.5.396[Crossref]
  • [20] Gunstad J, Paul RH, Cohen RA, Tate DF, Spitznagel MB, Gordon E (2007). Elevated body mass index is associated with executive dysfunction in otherwise healthy adults. Compr Psychiatry. 48(1): 57–61 http://dx.doi.org/10.1016/j.comppsych.2006.05.001[Crossref][WoS]
  • [21] Jeong SK, Nam HS, Son MH, Son EJ, Cho KH (2005). Interactive effect of obesity indexes on cognition. Dement Geriatr Cogn Disord. 19(2–3): 91–96 http://dx.doi.org/10.1159/000082659[Crossref]
  • [22] Kuo HK, Jones RN, Milberg WP, Tennstedt S, Talbot L, Morris JN, Lipsitz LA (2006). Cognitive function in normal-weight, overweight, and obese older adults: an analysis of the Advanced Cognitive Training for Independent and Vital Elderly cohort. J Am Geriatr Soc. 54(1): 97–103 http://dx.doi.org/10.1111/j.1532-5415.2005.00522.x[Crossref]
  • [23] Small GW, Moody TD, Siddarth P, Bookheimer SY (2009). Your brain on Google: patterns of cerebral activation during internet searching. Am J Geriatr Psychiatry. 17(2): 116–126 http://dx.doi.org/10.1097/JGP.0b013e3181953a02[Crossref][WoS]
Document Type
Publication order reference
YADDA identifier
bwmeta1.element.-psjd-doi-10_2478_s11536-012-0019-7
Identifiers
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.