| 151. | | | An examination of participation in online gambling activities and the relationship with problem gambling
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| 152. | | | Examining personalized feedback interventions for gambling disorders: A systematic review
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| 153. | | | Excessive behaviors are not necessarily addictive behaviors
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| 154. | | | Excessive social media users demonstrate impaired decision making in the Iowa Gambling Task
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| 155. | | | Expanding on the multidisciplinary stakeholder framework to minimize harms for problematic risk-taking involving emerging technologies
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| 156. | | | Experiential Avoidance and Technological Addictions in Adolescents
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| 157. | | | Explaining the relation between pathological gambling and depression: Rumination as an underlying common cause
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| 158. | | | An exploratory examination of marijuana use, problem-gambling severity, and health correlates among adolescents
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| 159. | | | Exploring relationships between problem gambling, scratch card gambling, and individual differences in thinking style
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| 160. | | | Exploring the Neural Basis of Avatar Identification in Pathological Internet Gamers and of Self-Reflection in Pathological Social Network Users
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| 161. | | | Expression of NMDA receptor subunits in human blood lymphocytes: A peripheral biomarker in online computer game addiction
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| 162. | | | The Extent and Distribution of Gambling-Related Harms and the Prevention Paradox in a British Population Survey
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| 163. | | | Face validity evaluation of screening tools for gaming disorder: Scope, language, and overpathologizing issues
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| 164. | | | A familial subtype of gambling disorder
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| 165. | | | Family factors in adolescent problematic Internet gaming: A systematic review
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| 166. | | | Family history of substance use disorders: Significance for mental health in young adults who gamble
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| 167. | | | Feature preferences of sports betting platforms: A discrete choice experiment shows why young bettors prefer smartphones
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| 168. | | | Features related to the presence of internet gaming disorder and their impact on the treatment outcomes
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| 169. | | | Feels good, and less bad: Problematic use of the Internet is associated with heightened experiences of both gratification and compensation
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| 170. | | | Five-year follow-up on a sample of gamblers: predictive factors of relapse
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| 171. | | | From active escapism to virtual withdrawal: Validation of the Compensatory-Dissociative Online Gaming scales (C-DOGs)
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| 172. | | | From healthy play to gaming disorder: Psychological profiles from emotional regulation and motivational factors
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| 173. | | | From the mouths of social media users: A focus group study exploring the social casino gaming-online gambling link
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| 174. | | | Frontal white and gray matter abnormality in gambling disorder: A multimodal MRI study
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| 175. | | | Functional impairment, insight, and comparison between criteria for gaming disorder in the International Classification of Diseases, 11 Edition and internet gaming disorder in Diagnostic and Statis...
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| 176. | | | Functional neural changes and altered cortical-subcortical connectivity associated with recovery from Internet gaming disorder
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| 177. | | | Gamblers' attitudes towards money and their relationship to gambling disorder among young men
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| 178. | | | The gambler's fallacy in problem and non-problem gamblers
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| 179. | | | Gamblers seeking treatment: Who does and who doesn't?
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| 180. | | | Gambling advertising on Twitter before, during and after the initial Australian COVID-19 lockdown
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| 181. | | | Gambling along the schizotypal spectrum: The associations between schizotypal personality, gambling-related cognitions, luck, and problem gambling
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| 182. | | | Gambling and COVID-19: Swedish national gambling data from a state-owned gambling sports and casino operator
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| 183. | | | Gambling, cryptocurrency, and financial trading app marketing in English Premier League football: A frequency analysis of in-game logos
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| 184. | | | Gambling disorder and bilateral transcranial direct current stimulation: A case report
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| 185. | | | Gambling disorder and obsessive-compulsive personality disorder: A frequent but understudied comorbidity
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| 186. | | | Gambling disorder and problematic pornography use: Does co-occurrence influence treatment outcome?
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| 187. | | | Gambling disorder: Association between duration of illness, clinical, and neurocognitive variables
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| 188. | | | Gambling disorder, increased mortality, suicidality, and associated comorbidity: A longitudinal nationwide register study
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| 189. | | | Gambling disorder is associated with reduced sensitivity to expected value during risky choice
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| 190. | | | Gambling disorder-related illegal acts: Regression model of associated factors
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| 191. | | | Gambling disorders, gambling type preferences, and psychiatric comorbidity among the Thai general population: Results of the 2013
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| 192. | | | Gambling, motor cautiousness, and choice impulsivity: An experimental study
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| 193. | | | Gambling participation among Connecticut adolescents from 2007 to 2019: Potential risk and protective factors
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| 194. | | | Gambling problems and the impact of family in UK armed forces veterans
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| 195. | | | Gambling with Rose-Tinted Glasses on: Use of Emotion-Regulation Strategies Correlates with Dysfunctional Cognitions in Gambling Disorder Patients
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| 196. | | | Gambling-related harms to concerned significant others: A national Australian prevalence study
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| 197. | | | A gamerek és e-sportolók személyes jellemzői, motivációi, valamint életminőségük vizsgálata a játszási szokások tükrében
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| 198. | | | Gaming disorder and the COVID-19 pandemic: Treatment demand and service delivery challenges
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| 199. | | | The Gaming Disorder Identification Test (GADIT) - A screening tool for Gaming Disorder based on ICD-11
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| 200. | | | Gaming disorder: Its delineation as an important condition for diagnosis, management, and prevention
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