| 251. | | | Development and validation of the Trading Disorder Scale for assessing problematic trading behaviors
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| 252. | | | The development of the Compulsive Sexual Behavior Disorder Scale (CSBD-19): An ICD-11 based screening measure across three languages
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| 253. | | | The development of the Problematic Series WatchingScale (PSWS)
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| 254. | | | Development of the Saini-Hodgins Addiction Risk Potential of Games (SHARP-G) Scale: An International Delphi study
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| 255. | | | 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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| 256. | | | Developmental and family considerations in internet use disorder taxonomy
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| 257. | | | Developmental trajectories of problematic social media use among adolescents: Associations with multiple interpersonal factors
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| 258. | | | "Diagnostic inflation" will not resolve taxonomical problems in the study of addictive online behaviours
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| 259. | | | 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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| 260. | | | Differences in cross-sectional and daily diary problematic pornography use correlates
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| 261. | | | Differences in problem and pathological gambling: A narrative review considering sex and gender
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| 262. | | | Differences in resting-state functional connectivity according to the level of impulsiveness in patients with internet gaming disorder
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| 263. | | | Different cultures, similar daydream addiction? An examination of the cross-cultural measurement equivalence of the Maladaptive Daydreaming Scale
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| 264. | | | Different facets of compulsive buying among Chinese students
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| 265. | | | Differential Effects of Reward Drive and Rash Impulsivity on the Consumption of a Range of Hedonic Stimuli
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| 266. | | | Differential transcriptome profile underlying risky choice in a rat gambling task
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| 267. | | | Differentiation between young adult Internet addicts, smokers, and healthy controls by the interaction between impulsivity and temporal lobe thickness
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| 268. | | | 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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| 269. | | | Disentangling the effects of empathy components on Internet gaming disorder: A study of vulnerable youth in China
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| 270. | | | Disorders due to addictive behaviors: Further issues, debates, and controversies : Commentary to the debate: "Behavioral addictions in the ICD-11"
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| 271. | | | Dispositional and online-specific Fear of Missing Out are associated with the development of IUD symptoms in different internet applications
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| 272. | | | Distinct patterns of Internet and smartphone-related problems among adolescents by gender: Latent class analysis
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| 273. | | | Distinguishing between gaming and gambling activities in addiction research
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| 274. | | | Distortions in time perception related to videogames, pornography, and TV series exposure: An experimental study in three independent samples
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| 275. | | | Distress-driven impulsivity interacts with cognitive inflexibility to determine addiction-like eating
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| 276. | | | Do evaluation and self-identification relate to self-reported and actual social media use?
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| 277. | | | Do gamblers eat more salt? Testing a latent trait model of covariance in consumption
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| 278. | | | 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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| 279. | | | 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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| 280. | | | Does "forced abstinence" from gaming lead to pornography use? Insight from the April 2018 crash of Fortnite's servers
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| 281. | | | Does nose spray addiction exist : a qualitative analysis of addiction components in rhinitis medicamentosa
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| 282. | | | Does the uptake of wagering inducements predict impulse betting on sport?
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| 283. | | | Down and Out in London: Addictive Behaviors in Homelessness
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| 284. | | | Draconian policy measures are unlikely to prevent disordered gaming
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| 285. | | | 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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| 286. | | | DSM-5 criteria for gambling disorder: Underlying structure and applicability to specific groups of gamblers
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| 287. | | | DSM-5 Internet gaming disorder among a sample of Mexican first-year college students
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| 288. | | | The dynamic interplay between neuroticism, extraversion, and problematic gaming in adolescents: A 4-wave longitudinal study
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| 289. | | | Dysfunctional reward processing amplifies stress-related smartphone overuse: Evidence from ERPs and ecological momentary assessment
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| 290. | | | Early childhood screen use and symptoms of problematic media use
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| 291. | | | Eating disorder characteristics among Hungarian medical students: Changes between 1989 and 2011
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| 292. | | | Eating disorder in gambling disorder: A group with increased psychopathology
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| 293. | | | Eating disorder risk, exercise dependence, and body weight dissatisfaction among female nutrition and exercise science university majors
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| 294. | | | EEG correlates associated with the severity of gambling disorder and serum BDNF levels in patients with gambling disorder
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| 295. | | | The effect of caffeine use in the relationship between gaming and sleep in adolescents: A mediation analysis
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| 296. | | | 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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| 297. | | | The effect of loss-limit reminders on gambling behavior: A real-world study of Norwegian gamblers
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| 298. | | | 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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| 299. | | | Effectiveness of a web-based self-help tool to reduce problem gambling: A randomized controlled trial
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| 300. | | | The effectiveness of school-based interventions to reduce problematic digital technology use and screen time: A systematic review and meta-analysis
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