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Family factors in adolescent problematic Internet gaming: A systematic review
Open accessAbstract
Background and aims Familial influences are known to affect the likelihood of an adolescent becoming a problem gamer. This systematic review examined some of the key findings in empirical research on family factors related to adolescent problem gaming. Methods A total of 14 studies in the past decade were evaluated. Family-related variables included: (a) parent status (e.g., socioeconomic status and mental health), (b) parent-child relationship (e.g., warmth, conflict, and abuse), (c) parental influence on gaming (e.g., supervision of gaming, modeling, and attitudes toward gaming), and (d) family environment (e.g., household composition). Results The majority of studies have focused on parent-child relationships, reporting that poorer quality relationships are associated with increased severity of problem gaming. The paternal relationship may be protective against problem gaming; therefore, prevention programs should leverage the support of cooperative fathers. Discussion The intergenerational effects of problem gaming require further attention, in light of adult gamers raising their children in a gaming-centric environment. Research has been limited by a reliance on adolescent self-report to understand family dynamics, without gathering corroborating information from parents and other family members. The very high rates of problem gaming (>10%) reported in general population samples raise concerns about the validity of current screening tools. Conclusions Interventions for adolescents may be more effective in some cases if they can address familial influences on problem gaming with the active co-participation of parents, rather than enrolling vulnerable adolescents in individual-based training or temporarily isolating adolescents from the family system.
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“negative early childhood experiences have been reported as vulnerability factors for gambling disorder (Roberts et al., 2017) and gaming disorder (Schneider et al., 2017)”
From The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors (2019) · cites this paper as Schneider et al., 2017
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(2012) · The Scientific World JOURNAL · doi:10.1100/tswj · Cited by 2,600
(1998) · Medical Entomology and Zoology · Cited by 1,425
Theory and measurement of generalized problematic internet use : A two-step approach
Caplan, S. E. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.012 · Cited by 1,061
The impact of computer use on children's and adolescents' development
Subrahmanyam, K., Greenfield, P. M., Kraut, R. E., & Gross, E. F. (2001) · Journal of Applied Developmental Psychology · doi:10.1016/s0193-3973(00)00063-0 · Cited by 565
Factors associated with Internet addiction among adolescents
Lam, L. T., Peng, Z.-W., Mai, J.-C., & Jing, J. (2009) · CyberPsychology & Behavior · doi:10.1089/cpb.2009.0036 · Cited by 531
King, D. L., Haagsma, M. C., Delfabbro, P., Gradisar, M., & Griffiths, M. D. (2013) · Clinical Psychology Review · doi:10.1016/j.cpr.2013.01.002 · Cited by 499
Self-citationNot so doomed: computer game play and positive adolescent development
Durkin, K., & Barber, B. L. (2002) · Journal of Applied Developmental Psychology · doi:10.1016/s0193-3973(02)00124-7 · Cited by 491
Family factors of Internet addiction and substance use experience in Taiwanese adolescents
Yen, J.-Y., Yen, C.-F., Chen, C.-C., Chen, S.-H., & Ko, C.-H. (2007) · CyberPsychology & Behavior · doi:10.1089/cpb.2006.9948 · Cited by 481
Rehbein, F., Psych, G., Kleimann, M., Mediasci, G., & Mößle, T. (2010) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2009.0227 · Cited by 480
Ferguson, C. J., Coulson, M., & Barnett, J. (2011) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2011.09.005 · Cited by 461
Research works printed but not linked: 1
- American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (DSM-5) (5th ed.). Washington, DC: American Psychiatric Association.
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Manifesto for a European research network into Problematic Usage of the Internet
Fineberg, N., Demetrovics, Z., Stein, D., Ioannidis, K., Potenza, M., Grünblatt, E., Brand, M., Billieux, J., Carmi, L., King, D., et al. (2018) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2018.08.004 · Cited by 334
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Metadata
- Authors
- Schneider, L. A., King, D. L., & Delfabbro, P. H.
- Affiliations
- The University of Adelaide (AU)
- Corresponding author
- King, Daniel L.
- Venue
- Journal of Behavioral Addictions
- Publisher
- Akademiai Kiado Zrt.
- Published
- 2017-06-28
- Volume
- 6
- Issue
- 3
- Pages
- 321-333
- ISSN
- 2062-5871 (ISSN-L)
- 2063-5303
- PMC
- PMC5700711
- OpenAlex
- W2741062752
- Cited by
- 382
- References
- 50
- Citations by year
- 2026: 58 · 2025: 57 · 2024: 55 · 2023: 53 · 2022: 51 · 2021: 45 · 2020: 36 · 2019: 15 · 2018: 12
- FWCI
- 5.31
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Behavioral Addictions (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) (acceptedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
- Social Sciences › Education › Child Development and Digital Technology
- Keywords
- adolescent gaming, family factors, parent-child relationship, parental influence, parental supervision, parental role modeling, father-child relationship, family environment, household composition, socioeconomic status, parental mental health, intergenerational effects, prevention programs, screening tool
- MeSH terms
- Adolescent, Family, Humans, Parent-Child Relations, Social Environment, Behavior, Addictive, Video Games
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