| 201. | | | Delay discounting, risk-taking, and rejection sensitivity among individuals with Internet and Video Gaming Disorders
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| 202. | | | Demographic and psychiatric correlates of compulsive sexual behaviors in gambling disorder
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| 203. | | | Depression and anxiety symptoms associated with internet gaming disorder before and during the COVID-19 pandemic: A longitudinal study
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| 204. | | | 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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| 205. | | | Detecting associations between behavioral addictions and dopamine agonists in the Food & Drug Administration's Adverse Event database
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| 206. | | | Determinants of object choice and object attachment: Compensatory consumption in compulsive buying-shopping disorder and hoarding disorder
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| 207. | | | Determinants of phubbing, which is the sum of many virtual addictions: A structural equation model
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| 208. | | | 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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| 209. | | | 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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| 210. | | | Development and validation of a prediction model for online gambling problems based on players' account data
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| 211. | | | Development and validation of the Parents? Perceived Self-Efficacy to Manage Children?s Internet Use Scale for parents of adolescents with attention-deficit/hyperactivity disorder
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| 212. | | | The development of the Compulsive Sexual Behavior Disorder Scale (CSBD-19): An ICD-11 based screening measure across three languages
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| 213. | | | The development of the Problematic Series WatchingScale (PSWS)
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| 214. | | | Development, psychometric validation, and cross-cultural comparison of the "Instagram Motives Questionnaire" (IMQ) and the "Instagram Uses and Patterns Questionnaire" (IUPQ)
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| 215. | | | Developmental and family considerations in internet use disorder taxonomy
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| 216. | | | "Diagnostic inflation" will not resolve taxonomical problems in the study of addictive online behaviours
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| 217. | | | The diagnostic pitfalls of surveys: If you score positive on a test of addiction, you still have a good chance not to be addicted
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| 218. | | | Differences in problem and pathological gambling: A narrative review considering sex and gender
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| 219. | | | Differences in resting-state functional connectivity according to the level of impulsiveness in patients with internet gaming disorder
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| 220. | | | Different cultures, similar daydream addiction? An examination of the cross-cultural measurement equivalence of the Maladaptive Daydreaming Scale
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| 221. | | | Different facets of compulsive buying among Chinese students
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| 222. | | | Differential Effects of Reward Drive and Rash Impulsivity on the Consumption of a Range of Hedonic Stimuli
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| 223. | | | Differential transcriptome profile underlying risky choice in a rat gambling task
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| 224. | | | Differentiation between young adult Internet addicts, smokers, and healthy controls by the interaction between impulsivity and temporal lobe thickness
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| 225. | | | Disentangling the effects of empathy components on Internet gaming disorder: A study of vulnerable youth in China
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| 226. | | | Disorders due to addictive behaviors: Further issues, debates, and controversies : Commentary to the debate: "Behavioral addictions in the ICD-11"
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| 227. | | | Dispositional and online-specific Fear of Missing Out are associated with the development of IUD symptoms in different internet applications
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| 228. | | | Distinct patterns of Internet and smartphone-related problems among adolescents by gender: Latent class analysis
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| 229. | | | Distinguishing between gaming and gambling activities in addiction research
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| 230. | | | Distortions in time perception related to videogames, pornography, and TV series exposure: An experimental study in three independent samples
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| 231. | | | Distress-driven impulsivity interacts with cognitive inflexibility to determine addiction-like eating
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| 232. | | | Do evaluation and self-identification relate to self-reported and actual social media use?
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| 233. | | | Do gamblers eat more salt? Testing a latent trait model of covariance in consumption
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| 234. | | | Do gaming disorder and hazardous gaming belong in the ICD-11? Considerations regarding the death of a hospitalized patient that was reported to have occurred while a care provider was gaming
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| 235. | | | Do I feel ill because I crave for work or do I crave for work because I feel ill? A longitudinal analysis of work craving, self-regulation, and health
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| 236. | | | Does "forced abstinence" from gaming lead to pornography use? Insight from the April 2018 crash of Fortnite's servers
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| 237. | | | Does the uptake of wagering inducements predict impulse betting on sport?
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| 238. | | | Down and Out in London: Addictive Behaviors in Homelessness
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| 239. | | | Draconian policy measures are unlikely to prevent disordered gaming
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| 240. | | | Driving and mobile phone use: Work addiction predicts hazardous but not excessive mobile phone use in a longitudinal study of young adults
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| 241. | | | DSM-5 criteria for gambling disorder: Underlying structure and applicability to specific groups of gamblers
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| 242. | | | DSM-5 Internet gaming disorder among a sample of Mexican first-year college students
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| 243. | | | Eating disorder characteristics among Hungarian medical students: Changes between 1989 and 2011
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| 244. | | | Eating disorder in gambling disorder: A group with increased psychopathology
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| 245. | | | Eating disorder risk, exercise dependence, and body weight dissatisfaction among female nutrition and exercise science university majors
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| 246. | | | EEG correlates associated with the severity of gambling disorder and serum BDNF levels in patients with gambling disorder
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| 247. | | | The effect of gambling problems on the subjective wellbeing of gamblers' family and friends: Evidence from large-scale population research in Australia and Canada
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| 248. | | | The effect of loss-limit reminders on gambling behavior: A real-world study of Norwegian gamblers
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| 249. | | | The effectiveness of a parental guide for prevention of problematic video gaming in children: A public health randomized controlled intervention study
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| 250. | | | Effectiveness of a web-based self-help tool to reduce problem gambling: A randomized controlled trial
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