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Quality of Life as a Predictor of Smartphone Addiction Risk Among Adolescents

  • Hatice Kumcagiz
Original research

Abstract

The aim of the present study was to investigate quality of life (QL) as a predictor of smartphone addiction risk among Turkish adolescents. In line with this purpose, a total of 352 high school students (153 males and 199 females) completed the Pediatric Quality of Life Inventory and a Smartphone Addiction Scale during the 2015–2016 academic year. Simple and multiple linear regression analysis was used to examine the association between QL and smartphone addiction risk. The results of this study suggested that the dimensions of physical and psychosocial health, as well as overall QL, negatively correlated with smartphone addiction in Turkish high school students. Therefore, school counselors should help their clients to improve their QL in order to effectively prevent smartphone addiction risk among high school students.

Keywords

Smartphone addiction Quality of life Psychosocial health Physical health Turkey 

References

  1. Ada, S., & Tatlı, H. (2012). Akıllı telefon kullanımını etkileyen faktörler üzerine bir araştırma. Kahramanmaraş Sütçü İmam Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, İşletme Bölümü, Kahramanmaraş. http://ab.org.tr/ab13/bildiri/74.pdf.
  2. Adriana, B., & James, G. P. (2005). Psychological predictors of problem mobile phone use. Cyberpsychology & Behavior, 8(1), 39–51.CrossRefGoogle Scholar
  3. Altıparmak, S., & Eser, E. (2007). Quality of life in married women aged 15–49. Family and Society: Journal of Education Culture and Research, 3, 29–34.Google Scholar
  4. Arıoglu, S., Beger, T., & Kaan, M. (2004). Home care in the elderly and contribution to quality of life. Journal of the Actual Medical, 9, 12–16.Google Scholar
  5. Aydın, A. (2004). Gelişim ve öğrenme psikolojisi. Istanbul: Alfa basin yayın dağıtım.Google Scholar
  6. Balıkçı, K., Balık, D.T., Özcan, I.C., & Balık, H.H. (2004). Statistical investigation of the effects on human health of daily mobile phone usage (pp. 236–238). www.ursi.org.tr/2004_kongre/BU65.PDF,08.08.2016.
  7. Bianchi, A., & Phillips, J. G. (2005). Psychological predictors of problem mobile phone use. Cyberpsychology & Behavior, 8(1), 39–51.CrossRefGoogle Scholar
  8. Çakır, F., & Demir, N. (2014). A study on determining preferences of university students’ purchasing smartphone. Dokuz Eylul University Journal of the Faculty of Economics and Administrative Sciences, 29(1), 213–243.Google Scholar
  9. Çetin, F. H., Pamuk, M., & Donmuş, V. (2015). Investigation of mediating role of internet dependency between problem mobile phone usage and academic delay in adolescents. Journal of Child and Youth Mental Health, 22(1), 60–61.Google Scholar
  10. Choudhary, A. (2014). Smart phones and their impact on net income per employee for selected U.S. firms. Review of Business and Finance Studies, 5(2), 9–17.Google Scholar
  11. Dinc, M. (2015). Technology dependence and youth. Journal of Youth Studies, 3(3), 31–65.Google Scholar
  12. Dogan, U., & İlçin-Tosun, N. (2016). Mediating effect of problematic smartphone use on the relationship between social anxiety and social network usage among high school students. Adıyaman University Journal of the Social Sciences Institute, 8(22), 99–128.Google Scholar
  13. Dogan, U., & Karakus, Y. (2016). Lise öğrencilerinin sosyal ağ siteleri kullanımının yordayıcısı olarak çok boyutlu yalnızlık. Sakarya Üniversitesi. Journal of Education, 6(1), 57–71.Google Scholar
  14. Durusoy, R., Hassoy, H., Özkurt, A., & Karababa, O. (2017). Mobile phone use, school electromagnetic field levels and related symptoms: A crosssectional survey among 2150 high school students in Izmir. Environmental Health, 16(51), 1–14.Google Scholar
  15. Ertem, F. (2006). Cep telefonu kullanımının insan ilişkilerine etkisi. Yayımlanmamış Yüksek Lisans Tezi, Haliç Üniversitesi, Sosyal Bilimler Enstitüsü, İstanbul.Google Scholar
  16. Eser, E. (2006). Measurement and conceptual bases of health-related quality of life. Journal of Healthy Accumulation, 1(2), 1–5.Google Scholar
  17. Eti-İcli, G., & Oguzhan, A. (2008). Factors affecting mobile phone brand choice (Research on Kırklareli University Vocational School Students). Marmara University Journal of the Faculty of Economics and Administrative Sciences, 24(2), 847–862.Google Scholar
  18. Gentile, D. (2009). Pathological video-game use among youth ages 8–18. Physiological Science, 20(5), 594–603. http://www.drdouglas.org/drdpdfs/Gentile_Pathological_VG_Use_2009e.pdf.
  19. Gilman, R., & Huebner, E. S. (2006). Characteristics of adolescents who report very high life satisfaction. Journal of Youth and Adolescence, 35, 311–319.CrossRefGoogle Scholar
  20. Gönener, D.H., Sertbaş, G., Galata, Z., & Cander, B. (2009). Cep telefonu kullanımının çocuklarla etkileşimi. Akademik Acil Tıp Dergisi, 4(7), 47–50.Google Scholar
  21. Grant, J. E., Potenza, M. N., Weinstein, A., & Gorelick, D. A. (2010). Introduction to behavioral addictions. The American Journal of Drug and Alcohol Abuse, 36(5), 233–241.CrossRefGoogle Scholar
  22. Gümüs, İ., & Örgev, C. (2015). Önlisans öğrencilerinin akıllı cep telefon kullanmalarının başarı ve harcama düzeylerine olası etkileri üzerine bir çalışma. ISCAT/Akademik Platform, 310–315. http://kritik-analitik.com/ISCAT2015_bildiriler/C1-ISCAT2015ID65.pdf.
  23. Havlioglu, S., & Koruk, İ. (2013). Problem behaviors and level of quality of life in nomadic seasonal agricultural worker adolescents. Journal of Turkish Public Health, 11(1), 11–12.Google Scholar
  24. Hietanen, M., Hamalainen, A., & Husman, T. (2002). Hypersensitivity symptoms associated with exposure to cellular telephones. Bioelectromagnetics, 23, 264–270.CrossRefGoogle Scholar
  25. Ibrahim, I. I., Subarı, K. A., Kassım, K. M., & Mohamood, S. K. B. (2013). Antecedent stirring purchase intention of smartphone among adolescents in perils. International Journal of Academic Research in Business and Social Sciences, 3(12), 84–97.CrossRefGoogle Scholar
  26. Karaaslan, Aİ., & Budak, L. (2012). Research on the use of mobile phone features by university students and its impact on their communication practices in everyday life. Journal of Yaşar University, 26(7), 4548–4571.Google Scholar
  27. Karasar, N. (2009). Bilimsel Araştırma Yöntemi. Ankara: Nobel Yayıncılık.Google Scholar
  28. Kelleci, M. (2008). The effects of internet use, cell phones and computer games on mental health of children and adolescents. TAF Preventive Medicine Bulletin, 7(3), 253–256.Google Scholar
  29. Kuloglu, M., & Korkmaz, S. (2011). Cep telefonu ve baz istasyonlarının nöropsikolojik etkileri. Yeni Symposium, 49, 99–105.Google Scholar
  30. Kuyucu, M. (2017). Gençlerde akıllı telefon kullanımı ve akıllı telefon bağımlılığı sorunsalı: “Akıllı telefon (kolik)” üniversite gençliği. Global Media Journal TR Edition, 7(14), 328–359.Google Scholar
  31. Kwon, M., Lee, J. Y., Won, W. Y., Park, J. W., Min, J. A., Hahn, C., et al. (2013). Development and validation of a smartphone addiction scale (SAS). PLoS ONE, 8(2), e56936.CrossRefGoogle Scholar
  32. Lasen, A. (2004). Affective technologies: Emotions and mobile phones. Surrey: The Digital World Research Centre. www.surrey.ac.uk/dwrc/Publications/AllPubs.pdf
  33. Leung, L., & Lee, P. (2012). The influences of information literacy, internet addiction and parenting styles on Internet risks. New Media and Society, 14(1), 117–136.CrossRefGoogle Scholar
  34. Leventhal, A., Karsenty, E., & Sadetzki, S. (2004). Cellular phones and public health. Harefuah, 143(8), 614–620.Google Scholar
  35. Memik, N.C. (2005). Çocuklar için yaşam kalitesi ölçeği geçerlik ve güvenirlik çalışması (Dissertation). Kocaeli University, Kocaeli.Google Scholar
  36. Memik, N. C., Agaoglu, B., Coşkun, A., Üneri, Ş. Ö., & Karakaya, I. (2007). The validity and reliability of the Turkish pediatric quality of life inventory for children 13–18 years old. Journal of Turkish Psychiatry, 18, 353–363.Google Scholar
  37. Memik, N. C., Agaoglu, B., Coşkun, A., Üneri, Ş. Ö., & Karakaya, I. (2008). The validity and reliability of the Turkish pediatric quality of life inventory for children 8–12 years old. Journal of Child and Adolescent Mental Health, 15, 87–98.Google Scholar
  38. Middleton, C. A., & Cuiker, W. (2006). Is mobile email functional or dysfunctional? Two perspectives on mobile email usage. European Journal of Information Systems, 15, 252–260.CrossRefGoogle Scholar
  39. Noyan, C. O., Darçın, A. E., Nurmedov, S., Yılmaz, O., & Dilbaz, N. (2015). Validity and reliability of the Turkish version of the smartphone addiction scale-short version among university students. Journal of the Anadolu Psikiyatri, Supplement, 1(16), 73–81.CrossRefGoogle Scholar
  40. Oksman, V., & Turtianinen, J. (2004). Mobile communication as a social stage: Meanings of mobile communication in everyday life amongst teenagers in Finland. New Media and Society, 6(3), 319–339.CrossRefGoogle Scholar
  41. Pain, R., Grundy, S., Gill, S., Towner, E., Sparks, G., & Hughes, K. (2005). So long as my mobile: Mobile phones, urban life and geographies of young people’s safety. International Journal of Urban and Regional Research, 29(4), 814–830.CrossRefGoogle Scholar
  42. Park, N., Kee, K. F., & Valenzuela, S. (2009). Being immersed in the social networking environment: Facebook groups, uses and gratifications, and social outcomes. Cyberpsychology & Behavior, 12, 729–733.CrossRefGoogle Scholar
  43. Rosen, L. D., Whaling, K., Carrier, L. M., Cheever, N. A., & Rokkum, J. (2013). The media/technology usage, attitudes and anxiety scale: An empirical investigation. Computers in Human Behavior, 29(6), 2501–2511.CrossRefGoogle Scholar
  44. Sarıkaya, A. (2015). 1418 yaş arası ergenlerin benlik saygısı ve psikolojik dayanıklılık düzeyleri arasındaki ilişki. (Unpublished master’s thesis). Istanbul University of Science, Istanbul.Google Scholar
  45. Semerci, B. (2007). Ergen ruh saglıgı. Istanbul: Alfa Yayınları.Google Scholar
  46. Senoglu, Y., & Çam, K. (2015). The effects of hormonal therapy on quality of life in prostate cancer. The Oncology Bulletin, 14, 317–332.Google Scholar
  47. Tabak, S. R., & Akköse, K. (2006). The health-control-perception levels of ergens and their effects on health behaviors. TAF Preventive Medicine Bulletin, 5(2), 118–130.Google Scholar
  48. Tascı, K., & Telli, Ç. (2007). Bilgi ekonomisinin kuramsal çerçevesi, XII. Türkiye’de internet konferansı, 8–10 Kasım, Bilkent Üniversitesi, Ankara.Google Scholar
  49. Tatlı, H. (2015). Akıllı telefon seçiminin belirleyicileri: üniversite öğrencileri üzerine bir uygulama. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Dergisi, 5(2), 549–567.Google Scholar
  50. Ting, D. H., Lim, S. F., Patanmacia, T. S., Low, C. G., & Ker, G. C. (2011). Dependency on smartphone and the impact on purchase behaviour. Young Consumers, 12(3), 193–203.CrossRefGoogle Scholar
  51. Tossell, C., Kortum, P., Shepard, C., Rahmati, A., & Zhong, L. (2015). Exploring smartphone addiction: Insights from long-term telemetric behavioral measures. International Journal of Information Management, 9(2), 37–43.Google Scholar
  52. Türkiye İstatistik Kurumu (TÜİK). (2015). Household Information Technologies Usage Survey. http://www.tuik.gov.tr. 12 May 2016.
  53. Ugur, N. G., & Turan, H. A. (2015). College students’ acceptance and usage of mobile applications: Sakarya University case. Internet Applications and Management, 6(2), 63–79.CrossRefGoogle Scholar
  54. Ulucan, E. (2015). Tatil süresince iş amaçlı akıllı telefon kullanımının turistlerin tatil deneyimine etkisi. (Unpublished master’s thesis). Istanbul Trade University, Istanbul.Google Scholar
  55. Ünal, H. M. (2015). Ankara Yıldırım Beyazıt Üniversitesi Tıp Fakültesi öğrencilerinin akıllı telefon bağımlılık düzeylerinin belirlenmesi, (Dissertation). Yıldırım Beyazıt University, Ankara.Google Scholar
  56. Uzgören, E., Şengür, M., & Yigit, Ü. (2012). Factors affecting university students’ demand for mobile phones. Dumlupınar University Journal of The Faculty of Economics and Administrative Sciences, 14(1), 55–72.Google Scholar
  57. Uzgören, E., Şengür, M., & Yigit, Ü. (2013). Analysis of behavior towards wastefulness of university students request in mobile phone. Süleyman Demirel University Journal of The Faculty of Economics and Administrative Sciences, 18(1), 29–44.Google Scholar
  58. Varni, J. W., Seid, M., & Kurtin, P. S. (2001). The PedsQLTM 4.0: Reliability and validity of the Pediatric Quality of Life Inventory TM version 4.0 generic core scales in healthy and patient populations. Medical Care, 39, 800–812.CrossRefGoogle Scholar
  59. Varni, J. W., Seid, M., & Rode, C. A. (1999). The PedsQL: Measurement model for the Pediatric Quality of Life Inventory. Medical Care, 37, 126–139.CrossRefGoogle Scholar
  60. Wu, A., Cheung, V., Ku, L., & Hung, E. (2013). Psychological risk factors of addiction to social networking sites among Chinese smartphone users. Journal of Behavioral Addictions, 2(3), 160–166.CrossRefGoogle Scholar
  61. Yılmaz, Ö. (2016). E-Learning: Students input for using mobile devices in science instructional settings. Journal of Education and Learning, 5(3), 182–192.CrossRefGoogle Scholar
  62. Yılmaz, G., Şar, A. H., & Civan, S. (2015). An examination of the relationship between mobile phone addiction and social anxiety in adolescents. Online Journal of Technology Addiction & Cyberbullying, 2(2), 20–37.Google Scholar

Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Educational Sciences, Department of Guidance and Psychological Counseling, Education FacultyOndokuz Mayis UniversitySamsunTurkey

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