| 201. | | | Current interpretations of the I-PACE model of behavioral addictions
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| 202. | | | Cybersex addiction: Experienced sexual arousal when watching pornography and not real-life sexual contacts makes the difference
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| 203. | | | A daily diary investigation on the job-related affective experiences fueled by work addiction
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| 204. | | | 'Dante erdejében tévelygő ifjú' - szexuális függőséggel küzdő férfi pszichoterápiájának bemutatása
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| 205. | | | Decreased effective connection from the parahippocampal gyrus to the prefrontal cortex in Internet gaming disorder: A MVPA and spDCM study
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| 206. | | | Deep learning(s) in gaming disorder through the user-avatar bond: A longitudinal study using machine learning
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| 207. | | | Deficits in emotion regulation strategies among problematic and pathological gamblers in a sample of vocational school students
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| 208. | | | Deficits in spontaneous versus instructed emotion regulation in problematic pornography use
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| 209. | | | Defining and classifying non-substance or behavioral addictions
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| 210. | | | Definitions and assessments of recovery from gambling disorder: A scoping review
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| 211. | | | Delay discounting, risk-taking, and rejection sensitivity among individuals with Internet and Video Gaming Disorders
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| 212. | | | Demographic and psychiatric correlates of compulsive sexual behaviors in gambling disorder
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| 213. | | | Depression and anxiety symptoms associated with internet gaming disorder before and during the COVID-19 pandemic: A longitudinal study
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| 214. | | | 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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| 215. | | | Determinants of object choice and object attachment: Compensatory consumption in compulsive buying-shopping disorder and hoarding disorder
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| 216. | | | Determinants of phubbing, which is the sum of many virtual addictions: A structural equation model
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| 217. | | | 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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| 218. | | | 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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| 219. | | | Development and validation of a prediction model for online gambling problems based on players' account data
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| 220. | | | The development of the Problematic Series WatchingScale (PSWS)
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| 221. | | | Development of the Saini-Hodgins Addiction Risk Potential of Games (SHARP-G) Scale: An International Delphi study
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| 222. | | | Developmental and family considerations in internet use disorder taxonomy
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| 223. | | | "Diagnostic inflation" will not resolve taxonomical problems in the study of addictive online behaviours
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| 224. | | | 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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| 225. | | | A diagnózis alkotása - az alkotás diagnózisa
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| 226. | | | Dialektikus viselkedésterápia szerfüggő borderline páciensek kezelésében
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| 227. | | | Differences in cross-sectional and daily diary problematic pornography use correlates
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| 228. | | | Differences in problem and pathological gambling: A narrative review considering sex and gender
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| 229. | | | Differences in resting-state functional connectivity according to the level of impulsiveness in patients with internet gaming disorder
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| 230. | | | Different facets of compulsive buying among Chinese students
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| 231. | | | Differential Effects of Reward Drive and Rash Impulsivity on the Consumption of a Range of Hedonic Stimuli
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| 232. | | | Differential transcriptome profile underlying risky choice in a rat gambling task
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| 233. | | | Differentiation between young adult Internet addicts, smokers, and healthy controls by the interaction between impulsivity and temporal lobe thickness
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| 234. | | | The Digital Media-use Effects (d-MUsE) Model: A comprehensive framework for exploring/studying functional and dysfunctional effects on adolescent wellbeing
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| 235. | | | A digitális világtól való függés mint napjaink új veszélyforrása
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| 236. | | | Diogenész szindróma - esetbemutatások
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| 237. | | | Disentangling the effects of empathy components on Internet gaming disorder: A study of vulnerable youth in China
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| 238. | | | Disorders due to addictive behaviors: Further issues, debates, and controversies : Commentary to the debate: "Behavioral addictions in the ICD-11"
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| 239. | | | Dispositional and online-specific Fear of Missing Out are associated with the development of IUD symptoms in different internet applications
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| 240. | | | Distinguishing between gaming and gambling activities in addiction research
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| 241. | | | Distortions in time perception related to videogames, pornography, and TV series exposure: An experimental study in three independent samples
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| 242. | | | "Dizájner drog" használat és abúzus: jelentőségük a pszichiáterek számára
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| 243. | | | Do evaluation and self-identification relate to self-reported and actual social media use?
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| 244. | | | Do gamblers eat more salt? Testing a latent trait model of covariance in consumption
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| 245. | | | 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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| 246. | | | 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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| 247. | | | Does "forced abstinence" from gaming lead to pornography use? Insight from the April 2018 crash of Fortnite's servers
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| 248. | | | Does nose spray addiction exist : a qualitative analysis of addiction components in rhinitis medicamentosa
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| 249. | | | Does the uptake of wagering inducements predict impulse betting on sport?
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| 250. | | | A dohányzás szenvedély és betegség
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