Cited by 208Impact of Technology on AdolescentsSexuality, Behavior, and TechnologyGambling Behavior and Treatments

The impact of Internet-based specific activities on the perceptions of Internet addiction, quality of life, and excessive usage: A cross-sectional study

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Pontes, Halley M., Szabo, Attila, Griffiths, Mark D.·2015·Addictive Behaviors Reports

Abstract

INTRODUCTION: Recent research has examined the context in which preference for specific online activities arises, leading researchers to suggest that excessive Internet users are engaged in specific activities rather than 'generalized' Internet use. The present study aimed to partially replicate and expand these findings by addressing four research questions regarding (i) participants' preferred online activities, (i) possible expected changes in online behavior in light of hypothetical scenarios, (iii) perceived quality of life when access to Internet was not possible, and (iv) how participants with self-diagnosed Internet addiction relate to intensity and frequency of Internet use. METHODS: = 30 years, SD = 10.84) were recruited online via several English-speaking online forums. RESULTS: Most participants indicated that their preferred activities were (i) accessing general information and news, (ii) social networking, and (iii) using e-mail and/or online chatting. Participants also reported that there would be a significant decrease of their Internet use if access to their preferred activities was restricted. The study also found that 51% of the total sample perceived themselves as being addicted to the Internet, while 14.1% reported that without the Internet their life would be improved. CONCLUSIONS: The context in which the Internet is used appears to determine the intensity and the lengths that individuals will go to use this tool. The implications of these findings are further discussed.

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  • One of the most prevalent behaviors online is social networking.

    “This same reasoning has been used to distinguish between an Internet addiction and addictions to specific activities carried out on the network, with one of the most prevalent behaviors online being social networking (Jeong et al., 2016; Muñoz-Miralles et al., 2013; Pontes, Szabo, & Griffiths, 2015; Salehan & Negahban, 2013).”

    From Is smartphone addiction really an addiction? (2018) · cites this paper as Pontes, Szabo, & Griffiths, 2015

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References 44 · Cited by 208

Research works printed but not linked: 19

  1. Armstrong L. Phillips J.G. Saling L.L. Potential determinants of heavier internet usage International Journal of Human-Computer Studies 53 4 2000 537 550
  2. Barke A. Nyenhuis N. Kröner-Herwig B. The German version of the Generalized Problematic Internet Use Scale 2 (GPIUS2): A validation study Cyberpsychology, Behavior and Social Networking 17 7 2014 474 482 24742070
  3. Bőthe B. Tóth-Király I. Orosz G. Clarifying the links among online gaming, internet use, drinking motives, and online pornography use Games for Health Journal 4 2 2015 1 6 26181804
  4. Feng Q. Chen X. Sun J. Zhou Y. Sun Y. Ding W. Voxel-level comparison of arterial spin-labeled perfusion magnetic resonance imaging in adolescents with internet gaming addiction Behavioral and Brain Functions 9 1 2013 33 23937918 PMC3751515
  5. Frangos C.C. Frangos C.C. Sotiropoulos I. Problematic internet use among Greek university students: An ordinal logistic regression with risk factors of negative psychological beliefs, pornographic sites, and online games CyberPsychology, Behavior & Social Networking 14 1/2 2011 51 58 21329443
  6. Griffiths M.D. Internet addiction: Internet fuels other addictions Student British Medical Journal 7 1999 428 429
  7. Griffiths M.D. Pontes H.M. Internet addiction disorder and internet gaming disorder are not the same Journal of Addiction Research & Therapy 5 4 2014 e124
  8. Kim H. Chung Y.W. The Use of social networking services and their relationship with the big five personality model and job satisfaction in Korea Cyberpsychology, Behavior and Social Networking 17 10 2014 658 663 25127246
  9. Király O. Griffiths M.D. Urbán R. Farkas J. Kökönyei G. Elekes Z. Problematic internet use and problematic online gaming are not the same: Findings from a large nationally representative adolescent sample Cyberpsychology, Behavior and Social Networking 17 12 2014 749 754 PMC4267705 25415659
  10. Ko C.-H. Liu G.-C. Yen J.-Y. Yen C.-F. Chen C.-S. Lin W.-C. The brain activations for both cue-induced gaming urge and smoking craving among subjects comorbid with Internet gaming addiction and nicotine dependence Journal of Psychiatric Research 47 4 2013 486 493 23245948
  11. Li Y. Zhang X. Lu F. Zhang Q. Wang Y. Internet addiction among elementary and middle school students in China: A nationally representative sample study Cyberpsychology, Behavior and Social Networking 17 2 2014 111 116 PMC3924822 23971432
  12. Maraz A. Eisinger A. Hende B. Urbán R. Paksi B. Kun B. Measuring compulsive buying behaviour: Psychometric validity of three different scales and prevalence in the general population and in shopping centres Psychiatry Research 2015 (in press) 25595336
  13. Montag C. Bey K. Sha P. Li M. Chen Y.F. Liu W.Y. Is it meaningful to distinguish between generalized and specific Internet addiction? Evidence from a cross-cultural study from Germany, Sweden, Taiwan and China Asia‐Pacific Psychiatry 2014 24616402
  14. OReilly M. Internet addiction: A new disorder enters the medical lexicon Canadian Medical Association Journal 154 12 1996 1882 8653648 PMC1487729
  15. Pontes H.M. Griffiths M.D. New concepts, old known issues—The DSM-5 and internet gaming disorder and its assessment Bishop J. Psychological and social implications surrounding internet and gaming addiction 2015 IGI Global Hershey, PA (in press)
  16. Pontes H.M. Patrão I.M. Griffiths M.D. Portuguese validation of the internet addiction test: An empirical study Journal of Behavioral Addictions 3 2 2014 107 114 25215221 PMC4117285
  17. Shaffer H.J. Hall M.N. Vander Bilt J. “Computer addiction”: A critical consideration American Journal of Orthopsychiatry 70 2 2000 162 168 10826028
  18. Widyanto L. Griffiths M.D. Brunsden V. A psychometric comparison of the internet addiction test, the internet-related problem scale, and self-diagnosis Cyberpsychology, Behavior and Social Networking 14 3 2011 141 149 21067282
  19. Wong T.Y. Yuen K.S.L. Li W.O. A basic need theory approach to problematic Internet use and the mediating effect of psychological distress Frontiers in Psychology 5 2015 1562 25642201 PMC4294141

Authors
Pontes, H. M., Szabo, A., & Griffiths, M. D.
Affiliations
Nottingham Trent University (GB)
Corresponding author
Pontes, Halley M.
Venue
Addictive Behaviors Reports
Publisher
Elsevier BV
Published
2015-06
Volume
1
Pages
19-25
ISSN
2352-8532 (ISSN-L)
OpenAlex
W2092680852
Cited by
208
References
44
Citations by year
2026: 6 · 2025: 10 · 2024: 13 · 2023: 20 · 2022: 18 · 2021: 20 · 2020: 63 · 2019: 18 · 2018: 19 · 2017: 13 · 2016: 6 · 2015: 2
FWCI
44.23
Type
journal article
Language
en
Open access
Locations
  • Addictive Behaviors Reports (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • BIROn (Birkbeck, University of London) (acceptedVersion)
  • Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University) (submittedVersion, other-oa)
  • Figshare (submittedVersion, cc-by-nc-nd)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
  • Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
Keywords
internet addiction, quality of life, excessive internet use, social networking, online chat, email use, information seeking

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