Determining the Relationship between Obesity and Problematic Internet Use among Adolescents
Background: Obesity has become widespread among adolescents throughout the world. This study aimed to determine the relationship between problematic internet use and obesity among 10-19 yr old adolescents.
Methods: The descriptive study was carried out in a private elementary and high school in Gaziantep Province in the Eastern Turkey in 2016-2017. Overall, 474 adolescents and 938 their parents were enrolled. Data collection form consisted of three parts. The first part included questions about sociodemographic characteristics of the adolescent and his/her parents. The second part included data on anthropometrical measurements, dietary habits and physical activity level. Third part of the data collection form included Problematic Internet Usage Scale. First, anthropometrical measurements of the adolescents were recorded. Then, the data collection forms were applied to adolescents and their parents.
Results: 34.8% of adolescents were overweight and obese. Approximately four out of ten male adolescents and three out of ten female adolescents were overweight or obese (P<0.05). Girls had less problematic internet use behaviors (P<0.05). There were statistically significant differences between age, sex, socioeconomic status, unhealthy eating habits and problem internet usage (P<0.05).
Conclusion: Periodic screening should be done to determine the prevalence of obesity and problematic internet usage. Training programs on regular physical activity and healthy nutrition should be prepared and guidance services should be provided for the reduction of obesity rates and the protection of ideal weight.
2. TÜİK report (2015). Child with statis-tics 2014. https://data.tuik.gov.tr/Bulten/Index?p=Dogum-Istatistikleri-2015-21514 [Ac-cessed 04 April 2018].
3. Must A, Bandini LG, Tybor DJ, et al (2007). Activity, inactivity, and screen time in relation to weight and fatness over adolescence in girls. Obe-sity (Silver Spring), 15 (7): 1774-1781.
4. Cam HH, Nur N (2015). A study on the prevalence of internet addiction and its association with psychopathological symptoms and obesity in adolescents. TAF Prev Med Bull, 2015; 14(3): 181-188.
5. Demirpence M, Yılmaz H, Çolak A, et al (2016). The effect of sleeve gastrec-tomy on serum irisin levels in patients with morbid obesity. Endokrynol Pol, 67(5):481-486.
6. Branca F, Nikogosain H, Lobstein T (2007). The challenge of obesity in the WHO European region and the strategies for response. WHO, Den-mark.
7. Ministry of Health Public Health Institution (2014). Physical activity guide of Turkey. https://hsgm.saglik.gov.tr/depo/birimler/saglikli-beslenme-hareketli-hayat-db/Fiziksel_Aktivite_Rehberi/Turkiye_Fiziksel_Aktivite_Rehberi. pdf [Accessed 12 March 2017].
8. Tsitsika A, Critselis E, Kormas G, et al. (2009). Internet use and misuse: a multi-variate regression analysis of the predic-tive factors of internet use among Greek adolescents. Eur J Pediatr, 168 (6):655-65.
9. Lavin M, Marvin NV, Scott L (1999). Sensa-tion seeking and collegiate vulnerability to enternet depence. Cyberpsychol Behav, 2 (5):425-430.
10. Canan F, Ataoglu A, Nichols LA, et al (2010). Evaluation of psychometric prop-erties of the internet addiction scale in a sample of Turkish high school students. Cyberpsychol Behav Soc Netw, 13(3):317-20.
11. Davis RA (2001). A cognitive-behavioral model of pathological internet use. Com-puters in Human Behavior, 17 (2):187-195.
12. Kalyon, A, Balcı, İ, Şahin M (2016). The reflection of internet addiction in the media. Journal of Human Sciences, 13 (2):2520-2532.
13. Report of a Joint FAO/WHO/UNU Ex-pert Consultation (2004). Human En-ergy Requirements. Rome, FAO Food and Nutrition Technical Report Series. http://www.fao.org/3/y5686e/y5686e00.htm [Accessed 03 June 2018].
14. Sallis JF, Owen N (1999). Physical activ-ity and behavioural medicine. Sage Publications, London.
15. Neyzi O, Günoz H, Furman A, et al (2008). Body weight, height, head circumference and body mass index reference values in Turkish children. J Child Health Dis, 51: 1-14.
16. Ceyhan AA, Ceyhan E (2014). The validity and reliability study of the problematic in-ternet use scale in adolescents. J Addiction, 15 (2):56-64.
17. Turkey Nutrition and Health Survey (2010). Evaluation of nutritional status and habits result report. ISBN: 978-975-590-483-2. https://hsgm.saglik.gov.tr/depo/birimler/saglikli-beslenme-hareketli-hayat-db/Yayinlar/kitaplar/TBSA_RAPOR_KITAP_20.08.pdf [Accessed 03 December 2018].
18. Santas F, Santas G (2018). Obesity among women in Turkey. Iran J Public Health, 47 (5):682-688.
19. Sengier A (2005). Multifactorial etiology of obesity: Nutritional and central aspects. Rev Med Brux, 26(4):S211-4.
20. Nelson TL, Vogler GP, Pedersen NL, et al (2000). Genetic and environmental influ-ences on body fat distribution, fasting in sulin levels and CVD: are the influences shared? Twin Res, 3(1):43-50.
21. Creative Cities Network. https://es.unesco.org/creative-cities/gaziantep [12 [Accessed 03 De-cember 2018].
22. TUIK report (2015). World of statistics day. https://data.tuik.gov.tr/Bulten/Index?p=Dunya-Nufus-Gunu-2015-18617
23. Feldman DE, Barnett T, Shrier I, et al (2003). Is physical activity differentially as-sociated with different types of sedentary pursuits? Arch Pediatr Adolesc Med, 157 (8):797-802.
24. Yılmaz E, Şahin YL, Haseski Hİ, et al (2014). An analysis of ınternet addiction among high school students with respect to sev-eral variables: Balıkesir province sample. Journal of Educational Sciences Research, 4 (1):133-144.
25. Dogan A (2013). The Prevalence of in-ternet addiction. https://acikerisim.deu.edu.tr/xmlui/handle/20.500.12397/7021 [Accessed 12 August 2021]
26. Tsai HF, Cheng SH, Yeh TL, et al (2009). The risk factors of internet addiction-A survey of university freshmen. Psychiatry Res, 167 (3):294-299.
27. Hancox RJ, Milne BJ, Poulton R (2004). As-sociation between child and adolescent television viewing and adult health: a lon-gitudinal birth cohort study. Lancet, 364 (9430):257-262.
28. Kautiainen S, Koivusilta L, Lintonen T, et al (2005). Use of information and commu-nication technology and prevalence of overweight and obesity among adoles-cents. Int J Obes (Lond), 29 (8): 925-933.
29. Tao Z (2013). The relationship between in-ternet addiction and bulimia in a sample of Chinese college students: depression as partial mediator between ınternet ad-diction and bulimia eating and weight disorders - studies on anorexia, bulimia and obesity. Eat Weight Disord, 18 (3):233-43.
30. Kaltiala R, Lintonen T, Rimpela A (2004). Internet addiction? Potentially problemat-ic use of the Internet in a population of 12–18 year-old adolescents. Addict Res Theory, 12 (1):89-96.
31. Cao H, Sun Y, Wan Y, et al (2011). Prob-lematic internet use in Chinese adoles-cents and its relation to psychosomatic symptoms and life satisfaction. BMC Pub-lic Health, 11:802.
32. Kesgin C. Topuzoğlu A (2006). Definition of health: coping. Journal of Istanbul Kultur University, 16 (3):47-49.
|Issue||Vol 50 No 9 (2021)|
|Adolescent Health Obesity Internet use|
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