| 51. | | | Brain responses to positive and negative events in individuals with internet gaming disorder during real gaming
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| 52. | | | Brain structural co-development is associated with internalizing symptoms two years later in the ABCD cohort
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| 53. | | | Brain structural covariation linked to screen media activity and externalizing behaviors in children
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| 54. | | | Breaking the habit Commentary on: Policy responses to problematic video game use: A systematic review of current measures and future possibilities (Király et al., 2018)
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| 55. | | | Bridging the links between Big Five personality traits and problematic smartphone use: A network analysis
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| 56. | | | The CED-le DEC: Common European Doctorate, or Doctorate Europeen Commune or dissertations on the Internet
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| 57. | | | Changes to the playing field: A contemporary study of actual European online sports betting
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| 58. | | | Chaos and confusion in DSM-5 diagnosis of Internet Gaming Disorder: Issues, concerns, and recommendations for clarity in the field
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| 59. | | | Characteristics and associated factors of non-suicidal self-injury among Italian young people: A survey through a thematic website
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| 60. | | | Characteristics and treatment response of self-identified problematic Internet users in a behavioral addiction outpatient clinic
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| 61. | | | Chinese adaptation of the Ten-Item Internet Gaming Disorder Test and prevalence estimate of Internet gaming disorder among adolescents in Taiwan
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| 62. | | | Classification of probable online social networking addiction: A latent profile analysis from a large-scale survey among Chinese adolescents
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| 63. | | | Classification of problematic Internet usage types by motives and contexts with elementary and secondary school-aged counseling clients
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| 64. | | | A clinical evaluation of the DSM-5 criteria for Internet Gaming Disorder and a pilot study on their applicability to further Internet-related disorders
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| 65. | | | A clinical study of an online educational programme for chronic pain patients = Online oktatás krónikus fájdalom esetén
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| 66. | | | A cohort study of patients seeking Internet gaming disorder treatment
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| 67. | | | Comment on: Problematic online gaming and the COVID-19 pandemic - The role of exergames
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| 68. | | | Comparing football bettors' response to social media marketing differing in bet complexity and account type - An experimental study
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| 69. | | | Comparing generalized and specific problematic smartphone/internet use: Longitudinal relationships between smartphone application-based addiction and social media addiction and psychological distress
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| 70. | | | Comparison of brain connectivity between Internet gambling disorder and Internet gaming disorder: A preliminary study
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| 71. | | | Comparison of frontostriatal circuits in adolescent nicotine addiction and internet gaming disorder
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| 72. | | | Comparison of risk and protective factors associated with smartphone addiction and Internet addiction
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| 73. | | | Compliance and alternative behaviors of heavy gamers in adolescents to Chinese online gaming restriction policy
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| 74. | | | A comprehensive model to understand and assess the motivational background of video game use: The Gaming Motivation Inventory (GMI)
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| 75. | | | Compulsivity-related behavioral features of problematic usage of the internet: A scoping review of paradigms, progress, and perspectives
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| 76. | | | Computer playfulness, Internet dependency and their relationships with online activity types and student academic performance
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| 77. | | | The concept of "harm" in Internet gaming disorder
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| 78. | | | Considering existing classic and contemporary proposals for preventing online addiction problems: Some old recipes for new problems
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| 79. | | | Contribution of sexual desire and motives to the compulsive use of cybersex
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| 80. | | | Correlations between mobile phone addiction and anxiety, depression, impulsivity, and poor sleep quality among college students: A systematic review and meta-analysis
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| 81. | | | Covid pandémia hatásai: szorongás - internet
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| 82. | | | COVID-19: WHO-app és az amerikai elnök COVID-19 elleni gyógyszerkoktélja
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| 83. | | | Criteria for the establishment of a new behavioural addiction : Commentary to the debate: "Behavioral addictions in the ICD-11"
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| 84. | | | A critical review of "Internet addiction" criteria with suggestions for the future
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| 85. | | | Csatlakozás az internethez és az internet működése
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| 86. | | | A cukorbetegség és az idült vesebetegség reprezentáltsága az online térben és összehasonlításuk egyéb népbetegségekkel
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| 87. | | | Cybersex use and problematic cybersex use among young Swiss men: Associations with sociodemographic, sexual, and psychological factors
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| 88. | | | Céltalanul a világhálón - a problémás internethasználat háttértényezőinek vizsgálata
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| 89. | | | Daganatos betegeket támogató online lehetőségek és kihívások
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| 90. | | | The dark side of internet: Preliminary evidence for the associations of dark personality traits with specific online activities and problematic internet use
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| 91. | | | Dcont.hu vércukornaplók elemzése : 1. [r.]
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| 92. | | | Decreased effective connection from the parahippocampal gyrus to the prefrontal cortex in Internet gaming disorder: A MVPA and spDCM study
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| 93. | | | Deep learning(s) in gaming disorder through the user-avatar bond: A longitudinal study using machine learning
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| 94. | | | Delay discounting, risk-taking, and rejection sensitivity among individuals with Internet and Video Gaming Disorders
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| 95. | | | Depression and anxiety symptoms associated with internet gaming disorder before and during the COVID-19 pandemic: A longitudinal study
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| 96. | | | A depressziós tünetek háttértényezőinek vizsgálata egyetemista lányok körében: az online önfeltárás és a közösségimédia-függőség szerepe
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| 97. | | | Determination the cut-off point for the Bergen social media addiction (BSMAS): Diagnostic contribution of the six criteria of the components model of addiction for social media disorder
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| 98. | | | Development and validation of a nine-item short screening test for ICD-11 gaming disorder (GAMES test) and estimation of the prevalence in the general young population
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| 99. | | | Development and validation of a prediction model for online gambling problems based on players' account data
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| 100. | | | Development and validation of the Parents? Perceived Self-Efficacy to Manage Children?s Internet Use Scale for parents of adolescents with attention-deficit/hyperactivity disorder
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