| 51. | | | 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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| 52. | | | Changes to the playing field: A contemporary study of actual European online sports betting
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| 53. | | | Chaos and confusion in DSM-5 diagnosis of Internet Gaming Disorder: Issues, concerns, and recommendations for clarity in the field
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| 54. | | | Characteristics and treatment response of self-identified problematic Internet users in a behavioral addiction outpatient clinic
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| 55. | | | Childhood use of coin pusher and crane grab machines, and adult gambling: A conceptual replication of Newall et al. (2021)
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| 56. | | | 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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| 57. | | | 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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| 58. | | | Close-to-win evaluations are affected by the outcome and delay between stopping the wheels in slot machines
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| 59. | | | Clustering of treatment-seeking women with gambling disorder
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| 60. | | | Codependence with hypersexual and gambling disorder
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| 61. | | | Cognitive distortions and ADHD in pathological gambling: A national longitudinal casecontrol cohort study
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| 62. | | | A cohort study of patients seeking Internet gaming disorder treatment
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| 63. | | | Comment on: Problematic online gaming and the COVID-19 pandemic - The role of exergames
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| 64. | | | 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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| 65. | | | Comorbid pathological gambling, mental health, and substance use disorders: Health-care services provision by clinician specialty
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| 66. | | | Comparing football bettors' response to social media marketing differing in bet complexity and account type - An experimental study
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| 67. | | | Comparing problem gamblers with moderate-risk gamblers in a sample of university students
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| 68. | | | Comparison of brain connectivity between Internet gambling disorder and Internet gaming disorder: A preliminary study
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| 69. | | | Comparison of frontostriatal circuits in adolescent nicotine addiction and internet gaming disorder
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| 70. | | | A comparison of university student and community gamblers: Motivations, impulsivity, and gambling cognitions
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| 71. | | | Compliance and alternative behaviors of heavy gamers in adolescents to Chinese online gaming restriction policy
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| 72. | | | A comprehensive model to understand and assess the motivational background of video game use: The Gaming Motivation Inventory (GMI)
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| 73. | | | Computer playfulness, Internet dependency and their relationships with online activity types and student academic performance
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| 74. | | | The concept of "harm" in Internet gaming disorder
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| 75. | | | The concept of recovery in gaming disorder: A scoping review
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| 76. | | | The conceptual and empirical relationship between gambling, investing, and speculation
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| 77. | | | The Conceptual Framework of Harmful Gambling: A revised framework for understanding gambling harm
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| 78. | | | Conceptualizing gambling disorder with the process model of emotion regulation
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| 79. | | | Conduct problems and depressive symptoms in association with problem gambling and gaming: A systematic review
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| 80. | | | Confidence and risky decision-making in gambling disorder
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| 81. | | | Confidence biases in problem gambling
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| 82. | | | Considering existing classic and contemporary proposals for preventing online addiction problems: Some old recipes for new problems
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| 83. | | | The (co-)occurrence of problematic video gaming, substance use, and psychosocial problems in adolescents
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| 84. | | | Correlates of frequent gambling and gambling-related chasing behaviors in individuals with schizophrenia-spectrum disorders
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| 85. | | | A counselling line for problem and pathological gambling in South Africa: Preliminary data analysis
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| 86. | | | The COVID-19 lockdown experience suggests that restricting the supply of gambling can reduce gambling problems: An Australian prospective study
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| 87. | | | Craving in gambling disorder: A systematic review
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| 88. | | | A cross-national comparison of problematic gaming behavior and well-being in adolescents
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| 89. | | | The crucial role of recovery capital in individuals with a gambling disorder
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| 90. | | | Cybersex addiction: Experienced sexual arousal when watching pornography and not real-life sexual contacts makes the difference
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| 91. | | | Decreased effective connection from the parahippocampal gyrus to the prefrontal cortex in Internet gaming disorder: A MVPA and spDCM study
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| 92. | | | Deep learning(s) in gaming disorder through the user-avatar bond: A longitudinal study using machine learning
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| 93. | | | Defining and classifying non-substance or behavioral addictions
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| 94. | | | Definitions and assessments of recovery from gambling disorder: A scoping review
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| 95. | | | Delay discounting, risk-taking, and rejection sensitivity among individuals with Internet and Video Gaming Disorders
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| 96. | | | Depression and anxiety symptoms associated with internet gaming disorder before and during the COVID-19 pandemic: A longitudinal study
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| 97. | | | 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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| 98. | | | Development and validation of a prediction model for online gambling problems based on players' account data
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| 99. | | | Development of the Saini-Hodgins Addiction Risk Potential of Games (SHARP-G) Scale: An International Delphi study
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| 100. | | | Differences in problem and pathological gambling: A narrative review considering sex and gender
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