Little video-gaming in adolescents can be protective, but too much is associated with increased substance use

Abstract Background: Studies have demonstrated inconsistent results regarding the association between video gaming time and substance use in teenagers. Understating intricacies of this association can help with substance use reduction in teenagers. Objectives: This study aimed to untangle this complex relationship by theorizing and examining a U-shaped association. Methods: We analyzed two large samples (n1 = 7313 [52.5% female] and n2 = 8079 [51.6% female]) of 8th and 10th graders in the United States. Substance use was operationalized as the sum of self-reported number of lifetime use instances of 14 unprescribed substances. Video game use time (hours per week) was self-reported on a 1 (none) to 9 (40+) scale. Common covariates/risk factors were included. Results: Consistently across datasets, partial-correlation between squared video gaming time and substance use (r = .10, p < .001 in 2014 and r = .08, p < .001 in 2015) supported the hypothesized u-shaped association. Analysis of covariance revealed that teenagers playing video games for 1–5 h a week report on significantly fewer instances of substance use compared with non-gamers (p < .001–.007). Post hoc analyses revealed that those who play at least 30 h per week report on significantly (p < .001) more instances of substance use (3.92 in 2014 and 3.38 in 2015) compared with teenagers playing video games for 1–5 h a week (2.17 in 2015 and 1.96 in 2015). Conclusions: Video gaming time and substance use follow a u-shaped association; light video gaming can be protective in terms of substance use, while too much video gaming is associated with increased substance use.

[1]  M. Griffiths,et al.  The (co-)occurrence of problematic video gaming, substance use, and psychosocial problems in adolescents , 2014, Journal of behavioral addictions.

[2]  Ofir Turel,et al.  Effects of motor impulsivity and sleep quality on swearing, interpersonally deviant and disadvantageous behaviors on online social networking sites , 2017 .

[3]  Ofir Turel,et al.  Presumed structural and functional neural recovery after long-term abstinence from cocaine in male military veterans , 2018, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[4]  Ofir Turel,et al.  Neuroticism Magnifies the Detrimental Association between Social Media Addiction Symptoms and Wellbeing in Women, but Not in Men: a three-Way Moderation Model , 2018, Psychiatric Quarterly.

[5]  Ofir Turel,et al.  Social networking sites use and the morphology of a social-semantic brain network , 2018, Social neuroscience.

[6]  Yong Sik Lee,et al.  Changes in Cue-Induced, Prefrontal Cortex Activity with Video-Game Play , 2010, Cyberpsychology Behav. Soc. Netw..

[7]  G. Patton,et al.  Adverse outcomes of alcohol use in adolescents. , 2001, Addiction.

[8]  Reiner Hanewinkel,et al.  Co-Occurrence of Addictive Behaviours: Personality Factors Related to Substance Use, Gambling and Computer Gaming , 2012, European Addiction Research.

[9]  A. Bechara,et al.  Delay discounting mediates the association between posterior insular cortex volume and social media addiction symptoms , 2018, Cognitive, affective & behavioral neuroscience.

[10]  Hamed Qahri Saremi,et al.  Problematic Use of Social Networking Sites: Antecedents and Consequence from a Dual-System Theory Perspective , 2016, J. Manag. Inf. Syst..

[11]  B. Harrison,et al.  Video gaming in school children-how much is enough? , 2016 .

[12]  C. S. Green,et al.  Brains on video games , 2011, Nature Reviews Neuroscience.

[13]  W. Crano,et al.  Family Structure and Adolescent Drug Use: An Exploration of Single-Parent Families , 2009, Substance use & misuse.

[14]  Yufei Yuan,et al.  Online game addiction among adolescents: motivation and prevention factors , 2012, Eur. J. Inf. Syst..

[15]  L. Johnston,et al.  Monitoring the Future national survey results on drug use, 1975-2018: Volume II, college students and adults ages 19-60 , 2005 .

[16]  E. Butelman,et al.  Genetic influences on impulsivity, risk taking, stress responsivity and vulnerability to drug abuse and addiction , 2005, Nature Neuroscience.

[17]  Peter Brimblecombe,et al.  Monitoring the future , 2010 .

[18]  Hamed Qahri Saremi,et al.  School engagement, information technology use, and educational development: An empirical investigation of adolescents , 2016, Comput. Educ..

[19]  Ofir Turel,et al.  Social Networking Site Use While Driving: ADHD and the Mediating Roles of Stress, Self-Esteem and Craving , 2016, Front. Psychol..

[20]  D. Gentile.  The multiple dimensions of video game effects. , 2011 .

[21]  A. Bechara,et al.  Examination of Neural Systems Sub-Serving Facebook “Addiction” , 2014, Psychological reports.

[22]  A. Bechara,et al.  Association of excessive social media use with abnormal white matter integrity of the corpus callosum , 2018, Psychiatry Research: Neuroimaging.

[23]  Alexander Serenko,et al.  Integrating Technology Addiction and Use: An Empirical Investigation of Online Auction Users , 2011, MIS Q..

[24]  P. Renshaw,et al.  Dopamine Genes and Reward Dependence in Adolescents with Excessive Internet Video Game Play , 2007, Journal of addiction medicine.

[25]  D. Gentile,et al.  Pathological Video Game Use Among Youths: A Two-Year Longitudinal Study , 2011, Pediatrics.

[26]  Ofir Turel,et al.  Excess social media use in normal populations is associated with amygdala-striatal but not with prefrontal morphology , 2017, Psychiatry Research: Neuroimaging.

[27]  J. Carlin,et al.  Trajectories of adolescent alcohol and cannabis use into young adulthood. , 2007, Addiction.

[28]  J. Young.  Brain anatomy , 1977, Nature.

[29]  L. Romo,et al.  Early substance consumption and problematic use of video games in adolescence , 2015, Front. Psychol..

[30]  Ofir Turel,et al.  Time distortion when users at-risk for social media addiction engage in non-social media tasks. , 2018, Journal of psychiatric research.

[31]  Aaron Smith,et al.  Teens, technology and friendships , 2015 .

[32]  Alexander Serenko,et al.  The benefits and dangers of enjoyment with social networking websites , 2012, Eur. J. Inf. Syst..

[33]  R. Bloor.  The influence of age and gender on drug use in the United Kingdom--a review. , 2006, The American journal on addictions.

[34]  In Kyoon Lyoo,et al.  Brain activity and desire for Internet video game play. , 2011, Comprehensive psychiatry.

[35]  A. Weinstein,et al.  Delay discounting, risk-taking, and rejection sensitivity among individuals with Internet and Video Gaming Disorders , 2016, Journal of behavioral addictions.

[36]  Samuel M. McClure,et al.  Neural Correlates of Behavioral Preference for Culturally Familiar Drinks , 2004, Neuron.

[37]  A. V. van Rooij,et al.  Online video game addiction: identification of addicted adolescent gamers. , 2010, Addiction.

[38]  J. French,et al.  INFLUENCE OF AGE AND GENDER , 2022 .

[39]  C. Anderson,et al.  The Effects of Prosocial Video Games on Prosocial Behaviors: International Evidence From Correlational, Longitudinal, and Experimental Studies , 2009, Personality & social psychology bulletin.

[40]  J. Unger,et al.  Variation in Family Structure Among Urban Adolescents and Its Effects on Drug Use , 2008, Substance use & misuse.

[41]  I. Bakken,et al.  Excessive Computer Game Playing among Norwegian Adults: Self-Reported Consequences of Playing and Association with Mental Health Problems , 2009, Psychological reports.

[42]  O. Turel,et al.  A model linking video gaming, sleep quality, sweet drinks consumption and obesity among children and youth , 2017, Clinical obesity.

[43]  A. Bechara,et al.  A Tripartite Neurocognitive Model of Internet Gaming Disorder , 2017, Front. Psychiatry.

[44]  권홍우,et al.  Bootstrapping , 2002, ACL.

[45]  D. Gentile,et al.  The Effects of Violent Video Game Habits on Adolescent Aggressive Attitudes and Behaviors. , 2001 .

[46]  S. Kühn,et al.  Disruption of Reward Processing in Addiction: An Image-Based Meta-analysis of Functional Magnetic Resonance Imaging Studies , 2017, JAMA psychiatry.

[47]  Ofir Turel,et al.  Preventing problematic Internet use through video-based interventions: a theoretical model and empirical test , 2015, Behav. Inf. Technol..

[48]  O. Turel,et al.  Health Outcomes of Information System Use Lifestyles among Adolescents: Videogame Addiction, Sleep Curtailment and Cardio-Metabolic Deficiencies , 2016, PloS one.

[49]  A. Bechara,et al.  Decision Making Deficits in Relation to Food Cues Influence Obesity: A Triadic Neural Model of Problematic Eating , 2018, Front. Psychiatry.

[50]  C. S. Green,et al.  Brain plasticity through the life span: learning to learn and action video games. , 2012, Annual review of neuroscience.

[51]  A. Bechara,et al.  Brain anatomy alterations associated with Social Networking Site (SNS) addiction , 2017, Scientific Reports.

[52]  R. Mcclure,et al.  Videogame Playing and Psychopathology , 1986, Psychological reports.

[53]  C. Robert Cloninger,et al.  Neurogenetic adaptive mechanisms in alcoholism. , 1987, Science.

[54]  Hamed Qahri Saremi,et al.  Explaining unplanned online media behaviors: Dual system theory models of impulsive use and swearing on social networking sites , 2018, New Media Soc..

[55]  G. Breukelen.  Analysis of covariance (ANCOVA) , 2010 .

[56]  D. Gentile,et al.  The effects of violent video game habits on adolescent hostility, aggressive behaviors, and school performance. , 2004, Journal of adolescence.

[57]  Ofir Turel,et al.  A Triadic Reflective-Impulsive-Interoceptive Awareness Model of General and Impulsive Information System Use: Behavioral Tests of Neuro-Cognitive Theory , 2016, Front. Psychol..