Pathological Internet use, cyberbullying and mobile phone use in adolescence: a school-based study in Greece
-
Zoi Tsimtsiou
, Anna-Bettina Haidich
Abstract
Purpose
This study investigated the prevalence of Internet addiction (IA) and cyberbullying and examined profiles of adolescents with increased risk to develop pathological behaviors.
Methods
In this cross-sectional, school-based study, 8053 students of 30 middle and 21 high schools (12–18 years old) were invited to participate, based on a multistage stratified random sampling technique. The Internet aiddiction test (IAT) was used along with information on socio-demographics, Internet activities and cyberbullying experience.
Results
Five thousand five hundred and ninety students participated (response rate 69.4%). Pathological Internet use (IAT ≥50) was found in 526 (10.1%), while 403 (7.3%) experienced cyberbullying as victims and 367 (6.6%) as perpetrators during the last year. In multivariable models, the odds of IA increased with online hours on mobile phones and Internet use during weekends, Internet café visits, chatrooms usage and engagement in cyberbullying. Cyberbullying victims were more likely to be older, female, Facebook and chatrooms users, while perpetrators were more likely to be male, older Internet users and fans of pornographic sites. A perpetrator was significantly more likely to have also been a victim [odds ratio (OR) = 5.51, confidence interval (CI): 3.92–7.74]. Hours of daily Internet use on a mobile phone was independently associated with IA and cyberbullying (OR) 1.41, 95% CI 1.30, 1.53 and OR 1.11, 95% CI 1.01, 1.21, respectively.
Conclusions
Cyberbullying is associated with IA and the hours spent online on a mobile phone affected both conditions. The increasing Internet access through mobile phones or other devices should be accompanied by the appropriate education of both parents and adolescents on safe Internet use.
Acknowledgments
We would like to thank all the 46 primary health care professionals who were involved with enthusiasm in this study and all the students and teachers who participated. We would especially like to thank Dr George Kormas for his valuable advice and guidance in the training of the health care professionals.
[1] Siomos KE, Dafouli ED, Braimiotis DA, Mouzas OD, Angelopoulos NV. Internet addiction among Greek adolescent students. Cyberpsychol Behav. 2008;11:653–7.10.1089/cpb.2008.0088Suche in Google Scholar PubMed
[2] Tsitsika A, Critselis E, Kormas G, Filippopoulou A, Tounissidou D, et al. Internet use and misuse: a multivariate regression analysis of the predictive factors of internet use among Greek adolescents. Eur J Pediatr. 2009;168:655–65.10.1007/s00431-008-0811-1Suche in Google Scholar PubMed
[3] Kormas G, Critselis E, Janikian M, Kafetzis D, Tsitsika A. Risk factors and psychosocial characteristics of potential problematic and problematic internet use among adolescents: a cross-sectional study. BMC Public Health. 2011;11:95.10.1186/1471-2458-11-595Suche in Google Scholar PubMed PubMed Central
[4] Floros GD, Siomos KE, Fisoun V, Dafouli E, Geroukalis D. Adolescent online cyberbullying in Greece: the impact of parental online security practices, bonding, and online impulsiveness. J Sch Health. 2013;83:445–53.10.1111/josh.12049Suche in Google Scholar PubMed
[5] Floros G, Paradeisioti A, Hadjimarcou M, Mappouras DG, Kalakouta O, et al. Cyberbullying in cyprus-associated parenting style and psychopathology. Stud Health Technol Inform. 2013;191:85–9.Suche in Google Scholar PubMed
[6] Sansone RA, Sansone LA. Cell phones: the psychosocial risks. Innov Clin Neurosci. 2013;10:33–7.Suche in Google Scholar PubMed
[7] Sasmaz T, Oner S, Kurt AÖ, Yapici G, Yazici AE, et al. Prevalence and risk factors of Internet addiction in high school students. Eur J Public Health. 2014;24:15–20.10.1093/eurpub/ckt051Suche in Google Scholar PubMed
[8] Tsitsika A, Janikian M, Schoenmakers TM, Tzavela EC, Olafsson K, et al. Internet addictive behavior in adolescence: a cross-sectional study in seven European countries. Cyberpsychol Behav Soc Netw. 2014;17:528–35.10.1089/cyber.2013.0382Suche in Google Scholar PubMed
[9] Kuss DJ, Griffiths MD, Karila L, Billieux J. Internet addiction: a systematic review of epidemiological research for the last decade. Curr Pharm Des. 2014;20:4026–52.10.2174/13816128113199990617Suche in Google Scholar PubMed
[10] Lindfors PL, Kaltiala-Heino R, Rimpelä AH. Cyberbullying among finnish adolescents-a population-based study. BMC Public Health. 2012;12:1027.10.1186/1471-2458-12-1027Suche in Google Scholar PubMed PubMed Central
[11] Stavropoulos V, Alexandraki K, Motti-Stefanidi F. Recognizing internet addiction: prevalence and relationship to academic achievement in adolescents enrolled in urban and rural Greek high schools. J Adolesc. 2013;36:565–76.10.1016/j.adolescence.2013.03.008Suche in Google Scholar PubMed
[12] Chang FC, Chiu CH, Miao NF, Chen PH, Lee CM, et al. The relationship between parental mediation and Internet addiction among adolescents, and the association with cyberbullying and depression. Compr Psychiatry. 2015;57:21–8.10.1016/j.comppsych.2014.11.013Suche in Google Scholar PubMed
[13] Musa GJ, Postuvan V, Resch F, Parzer P, Wasserman C, et al. Prevalence of pathological Internet use among adolescents in Europe: demographic and social factors. Addiction. 2012;107:2210–22.10.1111/j.1360-0443.2012.03946.xSuche in Google Scholar PubMed
[14] Tsitsika A, Critselis E, Louizou A, Janikian M, Freskou A, et al. Determinants of Internet addiction among adolescents: a case-control study. Sci World J. 2011;11:866–74.10.1100/tsw.2011.85Suche in Google Scholar PubMed PubMed Central
[15] Lam LT. Risk factors of Internet addiction and the health effect of internet addiction on adolescents: a systematic review of longitudinal and prospective studies. Curr Psychiatry Rep. 2014;16:508.10.1007/s11920-014-0508-2Suche in Google Scholar PubMed
[16] Mak KK, Lai CM, Watanabe H, Kim DI, Bahar N, et al. Epidemiology of internet behaviors and addiction among adolescents in six asian countries. Cyberpsychol Behav Soc Netw. 2014;17:720–8.10.1089/cyber.2014.0139Suche in Google Scholar PubMed
[17] Young KS. Caught in the Net. New York: Jonh Wiley & Sons, 1998.Suche in Google Scholar
[18] Tsimtsiou Z, Haidich AB, Kokkali S, Dardavesis T, Young KS, et al. Greek version of the Internet Addiction Test: a validation study. Psychiatr Q. 2014;85:187–95.10.1007/s11126-013-9282-2Suche in Google Scholar PubMed
[19] Centers for Disease Control and Prevention (CDC). Youth Risk Behavior Surveillance System (YRBSS): Youth Risk Behavior Surveillance System (YRBSS). Available at: http:ftp.cdc.gov/pub/data/yrbs/2013/2013_xxh_ questionnaire.pdf.Suche in Google Scholar
[20] Kim D, Lee Y, Lee J, Nam JK, Chung Y. Development of Korean smartphone addiction proneness scale for youth. PLoS One. 2014;9:e97920.10.1371/journal.pone.0097920Suche in Google Scholar PubMed PubMed Central
[21] Tochigi M, Nishida A, Shimodera S, Oshima N, Inoue K, et al. Irregular bedtime and nocturnal cellular phone usage as risk factors for being involved in bullying: a cross-sectional survey of Japanese adolescents. PLoS One. 2012;7:e45736.10.1371/journal.pone.0045736Suche in Google Scholar PubMed PubMed Central
[22] Strittmatter E, Brunner R, Fischer G, Parzer P, Resch F, et al. Association of peer victimization, coping, and pathological internet use among adolescents].[Article in German]. Z Kinder Jugendpsychiatr Psychother. 2014;42:85–94.10.1024/1422-4917/a000275Suche in Google Scholar PubMed
[23] Ortega R, Elipe P, Mora-Merchán JA, Genta ML, Brighi A, et al. The emotional impact of bullying and cyberbullying on victims: a European cross-national study. Aggress Behav. 2012;38:342–56.10.1002/ab.21440Suche in Google Scholar PubMed
[24] Jung YE, Leventhal B, Kim YS, Park TW, Lee SH, Lee M, et al. Cyberbullying, problematic internet use, and psychopathologic symptoms among Korean youth. Yonsei Med J. 2014;55:826–30.10.3349/ymj.2014.55.3.826Suche in Google Scholar PubMed PubMed Central
[25] Gámez-Guadix M, Orue I, Smith PK, Calvete E. Longitudinal and reciprocal relations of cyberbullying with depression, substance use, and problematic internet use among adolescents. J Adolesc Health. 2013;53:446–52.10.1016/j.jadohealth.2013.03.030Suche in Google Scholar PubMed
[26] Olumide AO, Adams P, Amodu OK. Prevalence and correlates of the perpetration of cyberbullying among in-school adolescents in Oyo State, Nigeria. Int J Adolesc Med Health. 2016;28:183–91.10.1515/ijamh-2015-0009Suche in Google Scholar PubMed
©2018 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Pride, shame and health among adolescents – a cross-sectional survey
- Illicit substance use among Tunisian college students: prevalence and risk factors
- Characteristics of the life habits of obese students at one of Japan's National Colleges of Technology
- Social mobilization for safe transition from adolescence: a qualitative research in Iran
- Craving for cigarette smoking among male adolescents in Isfahan based on mindfulness and emotional self-regulation
- Pathological Internet use, cyberbullying and mobile phone use in adolescence: a school-based study in Greece
- Work related musculoskeletal disorders among adolescent girls and young women employees of textile industries in Tamil Nadu, India – a comparative study
- Exploring maternal attitudes towards adolescent contraception: implications for use of LARC
- The effects of a low-dose physical activity intervention on physical activity and body mass index in severely obese adolescents
- Pubertal assessment: a national survey of attitudes, knowledge and practices of the US pediatric trainees
- Association between perceived parental style and depressive symptoms among adolescents in Hulu Langat District, Malaysia
- Exercise intervention on cardiovascular disease risk factors in a university population in the United Arab Emirates
Artikel in diesem Heft
- Pride, shame and health among adolescents – a cross-sectional survey
- Illicit substance use among Tunisian college students: prevalence and risk factors
- Characteristics of the life habits of obese students at one of Japan's National Colleges of Technology
- Social mobilization for safe transition from adolescence: a qualitative research in Iran
- Craving for cigarette smoking among male adolescents in Isfahan based on mindfulness and emotional self-regulation
- Pathological Internet use, cyberbullying and mobile phone use in adolescence: a school-based study in Greece
- Work related musculoskeletal disorders among adolescent girls and young women employees of textile industries in Tamil Nadu, India – a comparative study
- Exploring maternal attitudes towards adolescent contraception: implications for use of LARC
- The effects of a low-dose physical activity intervention on physical activity and body mass index in severely obese adolescents
- Pubertal assessment: a national survey of attitudes, knowledge and practices of the US pediatric trainees
- Association between perceived parental style and depressive symptoms among adolescents in Hulu Langat District, Malaysia
- Exercise intervention on cardiovascular disease risk factors in a university population in the United Arab Emirates