| 51. | | | Biased processing of game-related information in problematic mobile gaming users
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| 52. | | | Bidirectional association between problematic smartphone use and aggressive behavior: A cross-lagged longitudinal study
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| 53. | | | The bidirectional associations between smartphone multitasking and anxiety symptoms among Chinese college students
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| 54. | | | Bidirectional effects of Internet-specific parenting practices and compulsive social media and Internet game use
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| 55. | | | Bidirectional predictions between Internet addiction and probable depression among Chinese adolescents
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| 56. | | | The Big Five personality traits and online gaming: A systematic review and meta-analysis
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| 57. | | | Biomedicinális szaklapok és orvostudományi információ az interneten
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| 58. | | | Brain network alterations in mobile phone use problem severity: A multimodal neuroimaging analysis
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| 59. | | | Brain responses to positive and negative events in individuals with internet gaming disorder during real gaming
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| 60. | | | Brain structural co-development is associated with internalizing symptoms two years later in the ABCD cohort
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| 61. | | | Brain structural covariation linked to screen media activity and externalizing behaviors in children
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| 62. | | | 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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| 63. | | | Bridging the links between Big Five personality traits and problematic smartphone use: A network analysis
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| 64. | | | The CED-le DEC: Common European Doctorate, or Doctorate Europeen Commune or dissertations on the Internet
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| 65. | | | Changes to the playing field: A contemporary study of actual European online sports betting
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| 66. | | | Chaos and confusion in DSM-5 diagnosis of Internet Gaming Disorder: Issues, concerns, and recommendations for clarity in the field
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| 67. | | | Characteristics and associated factors of non-suicidal self-injury among Italian young people: A survey through a thematic website
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| 68. | | | Characteristics and treatment response of self-identified problematic Internet users in a behavioral addiction outpatient clinic
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| 69. | | | Childhood maltreatment and problematic smartphone use: A multilevel, meta-analytic review
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| 70. | | | 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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| 71. | | | Classification of probable online social networking addiction: A latent profile analysis from a large-scale survey among Chinese adolescents
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| 72. | | | Classification of problematic Internet usage types by motives and contexts with elementary and secondary school-aged counseling clients
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| 73. | | | 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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| 74. | | | A clinical study of an online educational programme for chronic pain patients = Online oktatás krónikus fájdalom esetén
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| 75. | | | A cohort study of patients seeking Internet gaming disorder treatment
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| 76. | | | Comment on: Problematic online gaming and the COVID-19 pandemic - The role of exergames
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| 77. | | | Comparative analysis of cortical anatomy in male participants with internet gaming disorder or tobacco use disorder: Insights from normative modeling
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| 78. | | | Comparing football bettors' response to social media marketing differing in bet complexity and account type - An experimental study
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| 79. | | | 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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| 80. | | | Comparison of brain connectivity between Internet gambling disorder and Internet gaming disorder: A preliminary study
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| 81. | | | Comparison of frontostriatal circuits in adolescent nicotine addiction and internet gaming disorder
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| 82. | | | Comparison of risk and protective factors associated with smartphone addiction and Internet addiction
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| 83. | | | Compliance and alternative behaviors of heavy gamers in adolescents to Chinese online gaming restriction policy
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| 84. | | | A comprehensive evaluation of the neurocognitive predictors of problematic alcohol use, eating, pornography, and internet use: A 6-month longitudinal study
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| 85. | | | A comprehensive model to understand and assess the motivational background of video game use: The Gaming Motivation Inventory (GMI)
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| 86. | | | Compulsivity-related behavioral features of problematic usage of the internet: A scoping review of paradigms, progress, and perspectives
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| 87. | | | Computational mechanisms underlying the impact of Pavlovian bias on instrumental learning in problematic social media users
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| 88. | | | Computer playfulness, Internet dependency and their relationships with online activity types and student academic performance
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| 89. | | | The concept of "harm" in Internet gaming disorder
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| 90. | | | Considering existing classic and contemporary proposals for preventing online addiction problems: Some old recipes for new problems
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| 91. | | | Construction and validation of the motives for smartphone use questionnaire
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| 92. | | | Contribution of sexual desire and motives to the compulsive use of cybersex
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| 93. | | | 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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| 94. | | | Covid pandémia hatásai: szorongás - internet
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| 95. | | | COVID-19: WHO-app és az amerikai elnök COVID-19 elleni gyógyszerkoktélja
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| 96. | | | Criteria for the establishment of a new behavioural addiction : Commentary to the debate: "Behavioral addictions in the ICD-11"
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| 97. | | | A critical review of "Internet addiction" criteria with suggestions for the future
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| 98. | | | Csatlakozás az internethez és az internet működése
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| 99. | | | A cukorbetegség és az idült vesebetegség reprezentáltsága az online térben és összehasonlításuk egyéb népbetegségekkel
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| 100. | | | Cybersex use and problematic cybersex use among young Swiss men: Associations with sociodemographic, sexual, and psychological factors
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