| 201. | | | Connectome-based predictive modelling of problematic gaming in youth from the ABCD study
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| 202. | | | Considering existing classic and contemporary proposals for preventing online addiction problems: Some old recipes for new problems
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| 203. | | | Construction and validation of the motives for smartphone use questionnaire
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| 204. | | | Contextualising over-engagement in work: towards a more global understanding of workaholism as an addiction
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| 205. | | | The contribution of personality factors and gender to ratings of sex addiction among men and women who use the Internet for sex purpose
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| 206. | | | The (co-)occurrence of problematic video gaming, substance use, and psychosocial problems in adolescents
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| 207. | | | Co-occurrence of symptoms of substance and behavioral addictions over time: A secondary analysis of longitudinal data from the Cohort Study on Substance Use Risk Factors
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| 208. | | | Co-occurrences of substance use and other potentially addictive behaviors: Epidemiological results from the Psychological and Genetic Factors of the Addictive Behaviors (PGA) Study
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| 209. | | | Co-occurring compulsive sexual behaviour in an inpatient substance use population: Clinical correlates and influence on treatment outcomes
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| 210. | | | Co-occurring substance-related and behavioral addiction problems: A person-centered, lay epidemiology approach
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| 211. | | | Correlates of frequent gambling and gambling-related chasing behaviors in individuals with schizophrenia-spectrum disorders
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| 212. | | | 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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| 213. | | | The cost of virtual wins: An examination of gambling-related risks in youth who spend money on social casino games
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| 214. | | | A counselling line for problem and pathological gambling in South Africa: Preliminary data analysis
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| 215. | | | The COVID-19 lockdown experience suggests that restricting the supply of gambling can reduce gambling problems: An Australian prospective study
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| 216. | | | COVID-19 világjárvány és mentális egészség:nemzetközi kitekintés és előzetes hazai adatok
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| 217. | | | Craving in gambling disorder: A systematic review
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| 218. | | | Criteria for the establishment of a new behavioural addiction : Commentary to the debate: "Behavioral addictions in the ICD-11"
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| 219. | | | A critical review of "Internet addiction" criteria with suggestions for the future
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| 220. | | | A cross-national comparison of problematic gaming behavior and well-being in adolescents
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| 221. | | | The crucial role of recovery capital in individuals with a gambling disorder
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| 222. | | | Családanya, pszichiátriai beteg, költő : ellentmondások Anne Sexton életszerepei között
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| 223. | | | A családok életmódját meghatározó társadalmi tényezők
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| 224. | | | Családorvosi prevenció az addiktológiában
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| 225. | | | Cue reactivity towards shopping cues in female participants
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| 226. | | | Cultural adaptation of the lower-risk gambling guidelines: Reflections from the Finnish experience
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| 227. | | | Current interpretations of the I-PACE model of behavioral addictions
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| 228. | | | Current Reviews in Behavioral Addictions Compulsive sexual behavior disorder (CSBD) and problematic pornography use (PPU): A comprehensive, interdisciplinary, and expert-informed narrative review w...
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| 229. | | | Cybersex addiction: Experienced sexual arousal when watching pornography and not real-life sexual contacts makes the difference
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| 230. | | | A daily diary investigation on the job-related affective experiences fueled by work addiction
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| 231. | | | 'Dante erdejében tévelygő ifjú' - szexuális függőséggel küzdő férfi pszichoterápiájának bemutatása
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| 232. | | | Dark patterns in online gambling: A scoping review and classification of deceptive design practices
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| 233. | | | Decreased effective connection from the parahippocampal gyrus to the prefrontal cortex in Internet gaming disorder: A MVPA and spDCM study
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| 234. | | | Deep learning(s) in gaming disorder through the user-avatar bond: A longitudinal study using machine learning
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| 235. | | | Deficits in emotion regulation strategies among problematic and pathological gamblers in a sample of vocational school students
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| 236. | | | Deficits in loss-related feedback processing and risky decision-making among heterosexual males at risk for problematic pornography use
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| 237. | | | Deficits in spontaneous versus instructed emotion regulation in problematic pornography use
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| 238. | | | Defining and classifying non-substance or behavioral addictions
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| 239. | | | Definitions and assessments of recovery from gambling disorder: A scoping review
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| 240. | | | Delay discounting, risk-taking, and rejection sensitivity among individuals with Internet and Video Gaming Disorders
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| 241. | | | Demographic and psychiatric correlates of compulsive sexual behaviors in gambling disorder
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| 242. | | | Depression and anxiety symptoms associated with internet gaming disorder before and during the COVID-19 pandemic: A longitudinal study
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| 243. | | | Deriving lower-risk gambling limits from data collected in four cross-sectional Finnish surveys
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| 244. | | | Desire thinking as a predictor of compulsive sexual behaviour in adolescents: Evidence from a cross-cultural validation of the Hebrew version of the Desire Thinking Questionnaire
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| 245. | | | Determinants of object choice and object attachment: Compensatory consumption in compulsive buying-shopping disorder and hoarding disorder
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| 246. | | | Determinants of phubbing, which is the sum of many virtual addictions: A structural equation model
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| 247. | | | Determination the cut-off point for the Bergen social media addiction (BSMAS): Diagnostic contribution of the six criteria of the components model of addiction for social media disorder
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| 248. | | | 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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| 249. | | | Development and validation of a prediction model for online gambling problems based on players' account data
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| 250. | | | Development and validation of the Trading Disorder Scale for assessing problematic trading behaviors
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