| 51. | | | Brain networks alterations in cocaine use and gambling disorders during emotion regulation
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| 52. | | | Brain responses to positive and negative events in individuals with internet gaming disorder during real gaming
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| 53. | | | 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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| 54. | | | A brief report on the relationship between self-control, video game addiction and academic achievement in normal and ADHD students
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| 55. | | | Buddhist philosophy for the treatment of problem gambling
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| 56. | | | A case-control study for psychiatric comorbidity and associative factors of gaming disorder and hazardous gaming based on ICD-11 criteria: Cognitive control, emotion regulation, and reinforcement s...
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| 57. | | | Causal impact of gambling-related cognitive distortions on the severity of gambling disorder: A one-year multicenter longitudinal study in treatment-seeking patients in Japan
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| 58. | | | Changes in brain activity in response to problem solving during the abstinence from online game play
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| 59. | | | Changes in gambling behaviour and related problems in clients seeking help in outpatient addiction care: Results from a 36-month follow-up study in Bavaria
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| 60. | | | Changes to the playing field: A contemporary study of actual European online sports betting
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| 61. | | | Chaos and confusion in DSM-5 diagnosis of Internet Gaming Disorder: Issues, concerns, and recommendations for clarity in the field
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| 62. | | | Characteristics and treatment response of self-identified problematic Internet users in a behavioral addiction outpatient clinic
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| 63. | | | Childhood use of coin pusher and crane grab machines, and adult gambling: A conceptual replication of Newall et al. (2021)
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| 64. | | | 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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| 65. | | | Clinical consensus statements on change techniques for gambling treatment: A Delphi study with clinicians
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| 66. | | | 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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| 67. | | | Close-to-win evaluations are affected by the outcome and delay between stopping the wheels in slot machines
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| 68. | | | A clustering based on the dynamics of DSM-5 criteria for gambling disorder: A 5-year follow-up of gamblers with and without gambling disorder
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| 69. | | | Clustering of treatment-seeking women with gambling disorder
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| 70. | | | Codependence with hypersexual and gambling disorder
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| 71. | | | Cognitive distortions and ADHD in pathological gambling: A national longitudinal casecontrol cohort study
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| 72. | | | A cohort study of patients seeking Internet gaming disorder treatment
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| 73. | | | Comment on: Problematic online gaming and the COVID-19 pandemic - The role of exergames
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| 74. | | | Common and differential risk factors behind suicidal behavior in patients with impulsivity-related disorders: The case of bulimic spectrum eating disorders and gambling disorder
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| 75. | | | Comorbid pathological gambling, mental health, and substance use disorders: Health-care services provision by clinician specialty
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| 76. | | | Comparative analysis of cortical anatomy in male participants with internet gaming disorder or tobacco use disorder: Insights from normative modeling
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| 77. | | | Comparing football bettors' response to social media marketing differing in bet complexity and account type - An experimental study
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| 78. | | | Comparing functional impairments related to social network use disorder and internet gaming disorder
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| 79. | | | Comparing problem gamblers with moderate-risk gamblers in a sample of university students
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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. | | | A comparison of university student and community gamblers: Motivations, impulsivity, and gambling cognitions
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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 model to understand and assess the motivational background of video game use: The Gaming Motivation Inventory (GMI)
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| 85. | | | Computer playfulness, Internet dependency and their relationships with online activity types and student academic performance
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| 86. | | | Computerized cognitive training for problem gambling: A randomized controlled trial (TRAIN-online)
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| 87. | | | The concept of "harm" in Internet gaming disorder
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| 88. | | | The concept of recovery in gaming disorder: A scoping review
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| 89. | | | The conceptual and empirical relationship between gambling, investing, and speculation
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| 90. | | | The Conceptual Framework of Harmful Gambling: A revised framework for understanding gambling harm
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| 91. | | | Conceptualizing gambling disorder with the process model of emotion regulation
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| 92. | | | Conduct problems and depressive symptoms in association with problem gambling and gaming: A systematic review
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| 93. | | | Confidence and risky decision-making in gambling disorder
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| 94. | | | Confidence biases in problem gambling
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| 95. | | | Connectome-based predictive modelling of problematic gaming in youth from the ABCD study
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| 96. | | | Considering existing classic and contemporary proposals for preventing online addiction problems: Some old recipes for new problems
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| 97. | | | The (co-)occurrence of problematic video gaming, substance use, and psychosocial problems in adolescents
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| 98. | | | Correlates of frequent gambling and gambling-related chasing behaviors in individuals with schizophrenia-spectrum disorders
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| 99. | | | A counselling line for problem and pathological gambling in South Africa: Preliminary data analysis
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| 100. | | | The COVID-19 lockdown experience suggests that restricting the supply of gambling can reduce gambling problems: An Australian prospective study
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