| 51. | | | Applying fairness in labeling various types of internet use disorders
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| 52. | | | Applying ICD-11 criteria of Gaming Disorder to identify problematic video streaming in adolescents: Conceptualization of a new clinical phenomenon
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| 53. | | | Approach bias for erotic stimuli in heterosexual male college students who use pornography
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| 54. | | | Are direct messages (texts and emails) from wagering operators associated with betting intention and behavior? An ecological momentary assessment study
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| 55. | | | Are esports bettors a new generation of harmed gamblers? A comparison with sports bettors on gambling involvement, problems, and harm
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| 56. | | | Are sports bettors looking at responsible gambling messages? An eye-tracking study on wagering advertisements
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| 57. | | | Are there clinical, psychopathological and therapy outcomes correlates associated with self-exclusion from gambling?
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| 58. | | | Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research
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| 59. | | | Argentine tango: Another behavioral addiction?
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| 60. | | | Assessing compulsive sexual behavior disorder: The development and international validation of the compulsive sexual behavior disorder-diagnostic inventory (CSBD-DI)
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| 61. | | | Assessing ICD-11 gaming disorder in adolescent gamers by parental ratings: Development and validation of the Gaming Disorder Scale for Parents (GADIS-P)
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| 62. | | | Assessing post-cue exposure craving and its association with amount wagered in an optional betting task
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| 63. | | | Assessment of compulsive sexual behavior disorder among lesbian, gay, bisexual, transgender, and queer clients : Commentary to the debate: "Behavioral addictions in the ICD-11"
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| 64. | | | Assessment of Criteria for Specific Internet-use Disorders (ACSID-11): Introduction of a new screening instrument capturing ICD-11 criteria for gaming disorder and other potential Internet-use diso...
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| 65. | | | Association between childhood and adult attention deficit hyperactivity disorder symptoms in Korean young adults with Internet addiction
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| 66. | | | The association between Internet addiction and personality disorders in a general populationbased sample
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| 67. | | | Association between Internet gaming disorder and generalized anxiety disorder
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| 68. | | | The association between muscle dysmorphia and eating disorder symptomatology: A systematic review and meta-analysis
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| 69. | | | Association between problematic Internet use, sleep disturbance, and suicidal behavior in Chinese adolescents
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| 70. | | | The association between problematic online gaming and perceived stress: The moderating effect of psychological resilience
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| 71. | | | The association between the Big Five personality traits and smartphone use disorder: A meta-analysis
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| 72. | | | The association of celebrity worship with problematic Internet use, maladaptive daydreaming, and desire for fame
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| 73. | | | Association of GDNF and CNTNAP2 gene variants with gambling
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| 74. | | | The association of problematic smartphone use with family well-being mediated by family communication in Chinese adults: A population-based study
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| 75. | | | Associations among the opioid receptor gene (OPRM1) A118G polymorphism, psychiatric symptoms, and quantitative EEG in Korean males with gambling disorder: A pilot study
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| 76. | | | Associations between gaming disorder, parent-child relationship, parental supervision, and discipline styles: Findings from a school-based survey during the COVID-19 pandemic in Vietnam
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| 77. | | | Associations between recalled use of legal UK youth gambling products and adult disordered gambling
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| 78. | | | Associations between symptoms of problematic smartphone, Facebook, WhatsApp, and Instagram use: An item-level exploratory graph analysis perspective
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| 79. | | | Associations between the dark triad of personality and unspecified/specific forms of Internet-use disorder
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| 80. | | | Associations between the HEXACO model of personality and gambling involvement, motivations to gamble, and gambling severity in young adult gamblers
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| 81. | | | Associations of binge gaming (5 or more consecutive hours played) with gaming disorder and mental health in young men
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| 82. | | | The associative learning roots of affect-driven impulsivity and its role in problem gambling: A replication attempt and extension of Quintero et al. (2020)
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| 83. | | | At-risk gambling in patients with severe mental illness: Prevalence and associated features
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| 84. | | | Attachment and emotion regulation in substance addictions and behavioral addictions
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| 85. | | | Attachment and problematic Facebook use in adolescents: The mediating role of metacognitions
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| 86. | | | Attention deficit hyperactivity disorder and gaming disorder: Frequency and associated factors in a clinical sample of patients with Gaming Disorder
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| 87. | | | Attention, response inhibition, and hoarding: A neuropsychological examination
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| 88. | | | Attentional bias and disengagement as a function of Body Mass Index in conditions that differ in anticipated reward
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| 89. | | | Attentional bias in excessive Internet gamers: Experimental investigations using an addiction Stroop and a visual probe
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| 90. | | | Attentional bias in Internet users with problematic use of social networking sites
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| 91. | | | Attentional bias to social media stimuli is moderated by fear of missing out among problematic social media users
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| 92. | | | Attentional biases and daily game craving dynamics: An ecological momentary assessment study
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| 93. | | | Attention-deficit hyperactivity disorder and addictions (substance and behavioral): Prevalence and characteristics in a multicenter study in France
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| 94. | | | Awareness drives changes in reward value which predict eating behavior change: Probing reinforcement learning using experience sampling from mobile mindfulness training for maladaptive eating
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| 95. | | | Barriers to female sex addiction treatment in the UK
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| 96. | | | Behavioral addictions in the ICD-11: An important debate that is anticipated to continue for some time Commentary to the debate: ?Behavioral addictions in the ICD-11"
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| 97. | | | Behavioral and computational signatures of reinforcement learning and confidence biases in gambling disorder
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| 98. | | | Behavioral Impulsivity in Obsessive-Compulsive Disorder
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| 99. | | | Between two worlds: Exploring esports betting in relation to problem gambling, gaming, and mental health problems
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| 100. | | | Between-session chasing of losses and wins in an online eCasino
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