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  • 1 Eskişehir Osmangazi University, Eskişehir, Turkey
  • 2 Artvin Çoruh University, Artvin, Turkey
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Background and aims

Phubbing can be described as an individual looking at his or her mobile phone during a conversation with other individuals, dealing with the mobile phone and escaping from interpersonal communication. In this research, determinants of phubbing behavior were investigated; in addition, the effects of gender, smart phone ownership and social media membership were tested as moderators.

Methods

To examine the cause–effect relations among the variables of the theoretical model, the research employs a correlational design. Participants were 409 university students who were selected via random sampling. Phubbing was obtained via the scales featuring mobile phone addiction, SMS addiction, internet addiction, social media addiction and game addiction. The obtained data were analyzed using a correlation analysis, multiple linear regression analysis and structural equation model.

Results

The results showed that the most important determinants of phubbing behavior are mobile phone, SMS, social media and internet addictions.

Discussion

Although the findings show that the highest correlation value explaining phubbing is a mobile phone addiction, the other correlation values reflect a dependency on the phone.

Conclusions

There is an increasing tendency towards mobile phone use, and this tendency prepares the basis of phubbing.

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  • Akçay, H. (2011). Social media use with the context of uses and gratification: A research on Gumushane University. Journal of Communication Theory and Research, 33, 138161

    • Search Google Scholar
    • Export Citation
  • Amerikan Psikiyatri Birliği. (1995). Mental bozuklukların tanısalve sayımsal elkitabı: DSM-IV, E. Köroğlu (çev.). Ankara: Hekimler Yayın Birliği

    • Search Google Scholar
    • Export Citation
  • Anderson, J. C. & Gerbing, D. (1984). The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis. Psychometrika, 49, 155173

    • Search Google Scholar
    • Export Citation
  • Andreassen, C. S., Torsheim, T., Brunborg, G. S. & Pallesen, S. (2012). Development of a Facebook addiction scale 1, 2. Psychologicalreports, 110(2), 501517

    • Search Google Scholar
    • Export Citation
  • Balcı, Ş. & Gülnar, B. (2009). Internet addiction among university students and the profile of internet addicts. Journal of Selcuk Communication, 6(1), 522

    • Search Google Scholar
    • Export Citation
  • Bener, A., Al-Mahdi, H. S., Ali, A. I., Al-Nufal, M., Vachhani, P. J. & Tewfik, I. (2011). Obesity and low vision as a result of excessive internet use and television viewing. International Journalof Food Sciences and Nutrition, 62(1), 6062

    • Search Google Scholar
    • Export Citation
  • Bianchi, A. & Phillips, J. G. (2005). Psychological predictors of problem mobile phone use. Cyber Psychology & Behavior, 8(1), 3951

  • Billieux, J., van der Linden, M., d’Acremont, M., Ceschi, G. & Zermatten, A. (2007). Does impulsivity relate to perceived dependence on and actual use of the mobile phone? Applied Cognitive Psychology, 21(4), 527537

    • Search Google Scholar
    • Export Citation
  • Billieux, J., van der Linden, M. & Rochat, L. (2008). The role of impulsivity in actual and problematic use of the mobile phone. Applied Cognitive Psychology, 22(9), 11951210

    • Search Google Scholar
    • Export Citation
  • Böhmer, M., Hecht, B., Schöning, J., Krüger, A. & Bauer, G. (2011, August). Falling asleep with Angry Birds, Facebookand Kindle: A large scale study on mobile application usage. In Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services (pp. 4756). ACM

    • Search Google Scholar
    • Export Citation
  • Caplan, S. E. (2002). Problematic internet use and psychosocial well-being: Development of a theory-based cognitive–behavioral measurement instrument. Computers in Human Behavior, 18(5), 553575

    • Search Google Scholar
    • Export Citation
  • Ceyhan, A. A. (2011). University students’ problematic internet use and communication skills according to internet use purposes. Educational Science: Theory & Practice, 11(1), 5977

    • Search Google Scholar
    • Export Citation
  • Ceyhan, E. (2008). A risk factor for adolescent mental health: Internet addiction. Turkish Journal of Child and Adolescent Mental Health, 15(2), 109116

    • Search Google Scholar
    • Export Citation
  • Ceyhan, E. (2010). Predictiveness of identity status, main internet use purposes and gender on university students’ problematic internet use. Educational Sciences: Theory & Practice, 10(3), 13231355

    • Search Google Scholar
    • Export Citation
  • Charlton, J. P. & Danforth, I. D. (2007). Distinguishing addiction and high engagement in the context of online game playing. Computers in Human Behavior, 23(3), 15311548

    • Search Google Scholar
    • Export Citation
  • Charlton, J. P. & Danforth, I. D. (2010). Validating the distinction between computer addiction and engagement: Online game playing and personality. Behaviour & Information Technology, 29(6), 601613

    • Search Google Scholar
    • Export Citation
  • Chiu, S. I., Lee, J. Z. & Huang, D. H. (2004). Video game addiction in children and teenagers in Taiwan. Cyber Psychology & Behavior, 7(5), 571581

    • Search Google Scholar
    • Export Citation
  • Chou, C. & Hsiao, M. C. (2000). Internet addiction, usage, gratification, and pleasure experience: The Taiwan college students’ case. Computers & Education, 35(1), 6580

    • Search Google Scholar
    • Export Citation
  • Chou, T. J. & Ting, C. C. (2003). The role of flow experience in cybergame addiction. Cyber Psychology & Behavior, 6(6), 663675

  • Cole, D. A. (1987). Utility of confirmatory factor analysis in test validation research. Journal of Consulting and Clinical Psychology, 55, 10191031

    • Search Google Scholar
    • Export Citation
  • Cooper, J. & Weaver, K. D. (2003). Gender and computers: Understanding the digital divide. Mahwah, N.J.: Erlbaum

  • Davis, R. A. (2001). A cognitive-behavioral model of pathological internet use. Computers in Human Behavior, 17(2), 187195

  • Dhaha, I. S. Y. (2013). Predictors of Facebook addiction among youth: A structural equation modeling. Journal of Social Sciences, 2(4), 186195

    • Search Google Scholar
    • Export Citation
  • Dong, G., Lu, Q., Zhou, H. & Zhao, X. (2011). Precursor or sequela: Pathological disorders in people with Internet addiction disorder. PloS One, 6(2), 15

    • Search Google Scholar
    • Export Citation
  • Durkin, K. F. (1997). Misuse of the Internet by pedophiles: Implications for law enforcement and probation practice. Federal Probation, 61(3), 14

    • Search Google Scholar
    • Export Citation
  • Economides, A. A. & Grousopoulou, A. (2008). Use of mobile phones by male and female Greek students. International Journalof Mobile Communications, 6(6), 729749

    • Search Google Scholar
    • Export Citation
  • Falaki, H., Mahajan, R., Kandula, S., Lymberopoulos, D., Govindan, R. & Estrin, D. (2010, June). Diversity in smartphone usage. In Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services (pp. 179194). ACM

    • Search Google Scholar
    • Export Citation
  • Field, A. (2009). Discovering statistics using SPSS. London: Sage

  • Frangos, C., Frangos, C. & Kiohos, A. (2010). Internet addiction among Greek university students: Demographic associations with the phenomenon, using the Greek version of Young’s internet addiction. International Journal of Economic Sciencesand Applied Research, 1, 4974

    • Search Google Scholar
    • Export Citation
  • Gilbert, R. L., Murphy, N. A. & McNally, T. (2011). Addiction to the 3-dimensional Internet: Estimated prevalence and relationship to real world addictions. Addiction Research & Theory, 19(4), 380390

    • Search Google Scholar
    • Export Citation
  • Ghamari, F., Mohammadbeigi, A., Mohammadsalehi, N. & Hashiani, A. A. (2011). Internet addiction and modeling its risk factors in medical students, Iran. Indian Journal of Psychological Medicine, 33(2), 158

    • Search Google Scholar
    • Export Citation
  • Goldberg, I. (1996). Internet addiction disorder. Retrieved from: http://www.psycom.net/iadcriteria.html

  • Griffiths, M. (2000). Does Internet and computer “addiction” exist? Some case study evidence. Cyber Psychology and Behavior, 3(2), 211218

    • Search Google Scholar
    • Export Citation
  • Griffiths, M. D. (1999). Internet addiction: Internet fuels other addictions. Student British Medical Journal, 7, 428

  • Griffiths, M. D. (2012). Internet sex addiction: A review of empirical research. Addiction Research & Theory, 20(2), 111124

  • Grüsser, S. M., Thalemann, R. & Griffiths, M. D. (2006). Excessive computer game playing: Evidence for addiction and aggression? Cyber Psychology & Behavior, 10(2), 290292

    • Search Google Scholar
    • Export Citation
  • Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2010). Multivariate data analysis: A global perspective. Upper Saddle River, New Jersey: Pearson

    • Search Google Scholar
    • Export Citation
  • Hall, A. S. & Parsons, J. (2001). Internet addiction: College student case study using best practices in cognitive behavior therapy. Journal of Mental Health Counseling, 23(4), 312327

    • Search Google Scholar
    • Export Citation
  • Hansen, S. (2002). Excessive Internet usage or ‘Internet Addiction’? The implications of diagnostic categories for student users. Journal of Computer Assisted Learning, 18(2), 235236

    • Search Google Scholar
    • Export Citation
  • Hardie, E. & Tee, M. Y. (2007). Excessive Internet use: The role of personality, loneliness and social support networks in Internet addiction. Australian Journal of Emerging Technologies &Society, 5(1), 3447

    • Search Google Scholar
    • Export Citation
  • Hassanzadeh, R. & Rezaei, A. (2011). Effect of sex, course and age on SMS addiction in students. Middle-East Journal of Scientific Research, 10(5), 619625

    • Search Google Scholar
    • Export Citation
  • Hawi, N. S. (2012). Internet addiction among adolescents in Lebanon. Computers in Human Behavior, 28(3), 10441053

  • Hope, A. (2007). Risk taking, boundary performance and intentional school internet “misuse”. Discourse: Studies in the Cultural Politics of Education, 28(1), 8799

    • Search Google Scholar
    • Export Citation
  • Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179185

  • Hoyle, R. H. & Panter, A. T. (1995). Writing about structural equation models. In R. H. Hoyle (Ed.), Structural equation modeling:Concepts, issues, and applications (pp. 158176). Thousand Oaks, CA: Sage Publications. http://www.stopphubbing.com

    • Search Google Scholar
    • Export Citation
  • Hua, C. (2005). An analysis of the causes of students’ cyber-addiction and the corresponding countermeasures. Journal of Southwest Jiaotong University, 2, 1114

    • Search Google Scholar
    • Export Citation
  • Jackson, L. A., Ervin, K. S., Gardner, P. D. & Schmitt, N. (2001). Gender and the Internet: Women communicating and men searching. Sex Roles, 44(5/6), 363379

    • Search Google Scholar
    • Export Citation
  • Joiner, R., Gavin, J., Duffield, J., Brosnan, M., Crook, C., Durndell, A., Maras, P., Miller, J., Scott, A. J. & Lovatt, P. (2005). Gender, Internet identification, and Internet anxiety: Correlates of Internet use. Cyberpsychology and Behavior, 8(4), 371378

    • Search Google Scholar
    • Export Citation
  • Jöreskog, K. & Sörbom, D. (2001). LISREL 8.51. Mooresvile: Scientific Software

  • Junco, R. & Cole-Avent, G. A. (2008). An introduction to technologies commonly used by college students. New Directionsfor Student Services, 124, 317

    • Search Google Scholar
    • Export Citation
  • Karadağ, E. (2009). Spiritual leadership and organizational culture: A study of structural equation model. Educational Sciences:Theory & Practice, 9(3), 13571405

    • Search Google Scholar
    • Export Citation
  • Karaiskos, D., Tzavellas, E., Balta, G. & Paparrigopoulos, T. (2010). P02-232-Social network addiction: A new clinical disorder? European Psychiatry, 25, 855

    • Search Google Scholar
    • Export Citation
  • Khazaal, Y., Xirossavidou, C., Khan, R., Edel, Y., Zeboun, F. & Zullino, D. (2012). Cognitive-behavioral treatments for internet addiction. Open Addiction Journal, 5(1), 3035

    • Search Google Scholar
    • Export Citation
  • Kim, E. J., Namkoong, K., Ku, T. & Kim, S. J. (2008). The relationship between online game addiction and aggression, selfcontrol and narcissistic personality traits. European Psychiatry, 23(3), 212218

    • Search Google Scholar
    • Export Citation
  • Kline, R. B. (2005). Principle and practice of structural equation modeling. New York, NY: Guilford

  • Kwon, M., Lee, J. Y., Won, W. Y., Park, J. W., Min, J. A., Hahn, C., Gu, X., Choi, J. H. & Kim, D. J. (2013). Development and validation of a smartphone addiction scale (SAS). PloS One, 8(2), e56936

    • Search Google Scholar
    • Export Citation
  • La Rose, R., Lin, C. A. & Eastin, M. S. (2003). Unregulated Internet usage: Addiction, habit, or deficient self-regulation? Media Psychology, 5(3), 225253

    • Search Google Scholar
    • Export Citation
  • Leung, L. (2007). Linking psychological attributes to addiction and improper use of the mobile phone among adolescents in Hong Kong. Journal of Children and Media, 2(2), 93113

    • Search Google Scholar
    • Export Citation
  • Lin, S. S. & Tsai, C. C. (2002). Sensation seeking and internet dependence of Taiwanese high school adolescents. Computersin Human Behavior, 18(4), 411426

    • Search Google Scholar
    • Export Citation
  • Lo, S. K., Wang, C. C. & Fang, W. (2005). Physical interpersonal relationships and social anxiety among online game players. Cyber Psychology & Behavior, 8(1), 1520

    • Search Google Scholar
    • Export Citation
  • MacCallum, R. C., Browne, M. W. & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130149

    • Search Google Scholar
    • Export Citation
  • Malita, L. (2011). Social media time management tools and tips. Procedia Computer Science, 3, 747753

  • Mante, E. A. & Piris, D. (2002). SMS use by young people in the Netherlands. Revista de Estudios de Juventud, 52, 4758

  • Marsh, H. W., Balla, J. R. & McDonald, R. P. (1988). Goodnessof-fit indexes in confirmatory factory analysis: The effects of sample size. Psychological Bulletin, 103(3), 391410

    • Search Google Scholar
    • Export Citation
  • Morahan-Martin, J. & Schumacher, P. (2000). Incidence and correlates of pathological Internet use among college students. Computers in Human Behavior, 16(1), 1329

    • Search Google Scholar
    • Export Citation
  • Morgan, C. & Cotten, S. R. (2003). The relationship between Internet activities and depressive symptoms in a sample of college freshmen. Cyberpsychology and Behavior, 6(2), 133142

    • Search Google Scholar
    • Export Citation
  • Nalwa, K. & Anand, A. P. (2003). Internet addiction in students: A cause of concern. Cyber Psychology & Behavior, 6(6), 653656

  • Odacı, H. & Çıkrıkçı, Ö. (2014). Problematic Internet use in terms of gender, attachment styles and subjective well-being in university students. Computers in Human Behavior, 32, 6166

    • Search Google Scholar
    • Export Citation
  • Özaşçılar, M. (2012). Genç bireylerin cep telefonu kullanımı ve bireysel güvenlik: üniversite öğrencilerinin cep telefonunu bireysel güvenlik amaçlı kullanımları (Young individuals’ cell phone usage and individual security: University students’ cell phone usage for individual security). Journal of Sociological Research, 15(1), 4374

    • Search Google Scholar
    • Export Citation
  • Öztürk, E. & Özmen, S. K. (2011). An investigation of the problematic Internet use of teacher candidates based on personality types, shyness and demographic factors. Educational Sciences:Theory & Practice, 11(4), 17851808

    • Search Google Scholar
    • Export Citation
  • Pallanti, S., Bernardi, S. & Quercioli, L. (2006). The Shorter PROMIS Questionnaire and the Internet Addiction Scale in the assessment of multiple addictions in a high-school population: Prevalence and related disability. CNS Spectr, 11(12), 966974

    • Search Google Scholar
    • Export Citation
  • Park, W. K. (2005). Mobile phone addiction. In Mobile Communications (pp. 253272). London: Springer

  • Parker, J. D., Taylor, R. N., Eastabrook, J. M., Schell, S. L. & Wood, L. M. (2008). Problem gambling in adolescence: Relationships with internet misuse, gaming abuse and emotional intelligence. Personality and Individual Differences, 45(2), 174180

    • Search Google Scholar
    • Export Citation
  • Pempek, T. A., Yermolayeva, Y. A. & Calvert, S. L. (2009). College students’ social networking experiences on Facebook. Journalof Applied Developmental Psychology, 30(3), 227238

    • Search Google Scholar
    • Export Citation
  • Schumacker, R. E. & Lomax, R. G. (1996). A beginner’s guide to structural equation modeling. Hilsdale, NJ: Erlbaum

  • Shaffer, H. J. (2002). Is computer addiction a unique psychiatric disorder. Psychiatric Times, 19(4), 2

  • Shapira, N. A., Goldsmith, T. D., Keck Jr, P. E., Khosla, U. M. & McElroy, S. L. (2000). Psychiatric features of individuals with problematic Internet use. Journal of Affective Disorders, 57(1), 267272

    • Search Google Scholar
    • Export Citation
  • Shapira, N. A., Lessig, M. C., Goldsmith, T. D., Szabo, S. T., Lazoritz, M., Gold, M. S. & Stein, D. J. (2003). Problematic internet use: Proposed classification and diagnostic criteria. Depressionand Anxiety, 17(4), 207216

    • Search Google Scholar
    • Export Citation
  • Shotton, M. A. (1991). The costs and benefits of ‘computer addiction’. Behaviour & Information Technology, 10(3), 219230

  • Smahel, D., Brown, B. B. & Blinka, L. (2012). Associations between online friendship and Internet addiction among adolescents and emerging adults. Developmental Psychology, 48(2), 381

    • Search Google Scholar
    • Export Citation
  • Smith, A. (2012). 46% of American adults are smartphone owners. Pew Internet & American Life Project

    • Export Citation
  • Tabachnick, B. G. & Fidell, L. B. (2013). Using multivariate statistics. New York: Pearson

  • Tsitsika, A., Critselis, E., Kormas, G., Filippopoulou, A., Tounissidou, D., Freskou, A. & Kafetzis, D. (2009). Internet use and misuse: A multivariate regression analysis of the predictive factors of Internet use among Greek adolescents. European Journal of Pediatrics, 168(6), 655665

    • Search Google Scholar
    • Export Citation
  • Turel, O. & Serenko, A. (2012). The benefits and dangers of enjoyment with social networking websites. European Journal of Information Systems, 21(5), 512528

    • Search Google Scholar
    • Export Citation
  • Turel, O., Serenko, A. & Giles, P. (2011). Integrating technology addiction and use: An empirical investigation of online auction users. MIS Quarterly, 35(4), 10431062

    • Search Google Scholar
    • Export Citation
  • Walsh, S. P., White, K. M. & Young, R. M. (2008). Over-connected? A qualitative exploration of the relationship between Australian youth and their mobile phones, Journal of Adolescence, 31, 7792

    • Search Google Scholar
    • Export Citation
  • Weinstein, A. M. (2010). Computer and video game addiction comparison between game users and non-game users. The American Journal of Drug and Alcohol Abuse, 36(5), 268276

    • Search Google Scholar
    • Export Citation
  • Weinstein, A. & Lejoyeux, M. (2010). Internet addiction or excessive Internet use. The American Journal of Drug and Alcohol Abuse, 36(5), 277283

    • Search Google Scholar
    • Export Citation
  • Wood, R. T. (2008). Problems with the concept of video game “addiction”: Some case study examples. International Journal of Mental Health and Addiction, 6(2), 169178

    • Search Google Scholar
    • Export Citation
  • Wright, D., Tone, A., Dyck, E., Aziz, M., Mehringer, A. M., Mozurkewich, E. & Telner, J. I. (2005). SCL-90-R and 16PF profiles of senior high school students with excessive Internet use. Canadian Journal of Psychiatry, 50, 407414

    • Search Google Scholar
    • Export Citation
  • Yang, S. C. & Tung, C. J. (2007). Comparison of Internet addicts and non-addicts in Taiwanese high school. Computers in Human Behavior, 23(1), 7996

    • Search Google Scholar
    • Export Citation
  • Yellowlees, P. M. & Marks, S. (2007). Problematic Internet use or Internet addiction? Computers in Human Behavior, 23(3), 14471453

  • Young, K. S. (1996). Internet addiction: The emergence of a new clinical disorder. In Selected proceedings of the 104th annual meeting of the American Psychological Association, Toronto, Canada

    • Export Citation
  • Young, K. (2009). Understanding online gaming addiction and treatment issues for adolescents. The American Journal of Family Therapy, 37(5), 355372

    • Search Google Scholar
    • Export Citation
  • Young, K. S. & Case, C. J. (2004). Internet abuse in the workplace: New trends in risk management. Cyber Psychology & Behavior, 7(1), 105111

    • Search Google Scholar
    • Export Citation
  • Zulkefly, S. N. & Baharudin, R. (2009). Mobile phone use amongst students in a university in Malaysia: Its correlates and relationship to psychological health. European Journal of Scientific Research, 27(2), 206218

    • Search Google Scholar
    • Export Citation

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Editor(s)-in-Chief: Zsolt Demetrovics

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Assistant Editor(s): Csilla Ágoston

Editorial Board

  • Max W. Abbott (Auckland University of Technology, New Zealand)
  • Elias N. Aboujaoude (Stanford University School of Medicine, USA)
  • Hojjat Adeli (Ohio State University, USA)
  • Alex Baldacchino (University of Dundee, United Kingdom)
  • Alex Blaszczynski (University of Sidney, Australia)
  • Kenneth Blum (University of Florida, USA)
  • Henrietta Bowden-Jones (Imperial College, United Kingdom)
  • Gerhard Bühringer (Technische Universität Dresden, Germany)
  • Wim van den Brink (University of Amsterdam, The Netherlands)
  • Sam-Wook Choi (Eulji University, Republic of Korea)
  • Damiaan Denys (University of Amsterdam, The Netherlands)
  • Jeffrey L. Derevensky (McGill University, Canada)
  • Naomi Fineberg (University of Hertfordshire, United Kingdom)
  • Marie Grall-Bronnec (University Hospital of Nantes, France)
  • Jon E. Grant (University of Minnesota, USA)
  • Mark Griffiths (Nottingham Trent University, United Kingdom)
  • Heather Hausenblas (Jacksonville University, USA)
  • Tobias Hayer (University of Bremen, Germany)
  • Susumu Higuchi (National Hospital Organization Kurihama Medical and Addiction Center, Japan)
  • David Hodgins (University of Calgary, Canada)
  • Eric Hollander (Albert Einstein College of Medicine, USA)
  • Jaeseung Jeong (Korea Advanced Institute of Science and Technology, Republic of Korea)
  • Yasser Khazaal (Geneva University Hospital, Switzerland)
  • Orsolya Király (Eötvös Loránd University, Hungary)
  • Emmanuel Kuntsche (La Trobe University, Australia)
  • Hae Kook Lee (The Catholic University of Korea, Republic of Korea)
  • Michel Lejoyeux (Paris University, France)
  • Anikó Maráz (Eötvös Loránd University, Hungary)
  • Giovanni Martinotti (‘Gabriele d’Annunzio’ University of Chieti-Pescara, Italy)
  • Frederick Gerard Moeller (University of Texas, USA)
  • Daniel Thor Olason (University of Iceland, Iceland)
  • Nancy Petry (University of Connecticut, USA)
  • Bettina Pikó (University of Szeged, Hungary)
  • Afarin Rahimi-Movaghar (Teheran University of Medical Sciences, Iran)
  • József Rácz (Hungarian Academy of Sciences, Hungary)
  • Rory C. Reid (University of California Los Angeles, USA)
  • Marcantanio M. Spada (London South Bank University, United Kingdom)
  • Daniel Spritzer (Study Group on Technological Addictions, Brazil)
  • Dan J. Stein (University of Cape Town, South Africa)
  • Sherry H. Stewart (Dalhousie University, Canada)
  • Attila Szabó (Eötvös Loránd University, Hungary)
  • Ferenc Túry (Semmelweis University, Hungary)
  • Alfred Uhl (Austrian Federal Health Institute, Austria)
  • Johan Vanderlinden (University Psychiatric Center K.U.Leuven, Belgium)
  • Alexander E. Voiskounsky (Moscow State University, Russia)
  • Kimberly Young (Center for Internet Addiction, USA)

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