| 101. | | | A critical review of "Internet addiction" criteria with suggestions for the future
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| 102. | | | Csatlakozás az internethez és az internet működése
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| 103. | | | A cukorbetegség és az idült vesebetegség reprezentáltsága az online térben és összehasonlításuk egyéb népbetegségekkel
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| 104. | | | Cybersex use and problematic cybersex use among young Swiss men: Associations with sociodemographic, sexual, and psychological factors
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| 105. | | | Céltalanul a világhálón - a problémás internethasználat háttértényezőinek vizsgálata
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| 106. | | | Daganatos betegeket támogató online lehetőségek és kihívások
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| 107. | | | The dark side of internet: Preliminary evidence for the associations of dark personality traits with specific online activities and problematic internet use
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| 108. | | | Dcont.hu vércukornaplók elemzése : 1. [r.]
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| 109. | | | Decreased effective connection from the parahippocampal gyrus to the prefrontal cortex in Internet gaming disorder: A MVPA and spDCM study
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| 110. | | | Deep learning(s) in gaming disorder through the user-avatar bond: A longitudinal study using machine learning
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| 111. | | | Delay discounting, risk-taking, and rejection sensitivity among individuals with Internet and Video Gaming Disorders
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| 112. | | | Depression and anxiety symptoms associated with internet gaming disorder before and during the COVID-19 pandemic: A longitudinal study
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| 113. | | | A depressziós tünetek háttértényezőinek vizsgálata egyetemista lányok körében: az online önfeltárás és a közösségimédia-függőség szerepe
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| 114. | | | 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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| 115. | | | 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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| 116. | | | Development and validation of a prediction model for online gambling problems based on players' account data
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| 117. | | | 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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| 118. | | | Development and validation of the Trading Disorder Scale for assessing problematic trading behaviors
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| 119. | | | 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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| 120. | | | Developmental and family considerations in internet use disorder taxonomy
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| 121. | | | Developmental trajectories of problematic social media use among adolescents: Associations with multiple interpersonal factors
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| 122. | | | "Diagnostic inflation" will not resolve taxonomical problems in the study of addictive online behaviours
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| 123. | | | Dietetics on Social Media - Netnographic Research of Instagram Stories on Healthy Eating
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| 124. | | | A dietetikusok ismertségének és lakossági megítélésének reprezentatív felismerése az internetező felnőtt lakosság körében
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| 125. | | | Dietetikusok szerepe a közösségi média különböző felületein
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| 126. | | | Differences in problem and pathological gambling: A narrative review considering sex and gender
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| 127. | | | Differences in resting-state functional connectivity according to the level of impulsiveness in patients with internet gaming disorder
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| 128. | | | Differentiation between young adult Internet addicts, smokers, and healthy controls by the interaction between impulsivity and temporal lobe thickness
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| 129. | | | 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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| 130. | | | Digitális egészség, intelligens egészségügy : az Orvosi Dolgok Hálózata
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| 131. | | | Digitális egészségügyi megoldások a COVID-19-járvány alatt és után : két reprezentatív lakossági felmérés eredményei
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| 132. | | | Digitális korban : 1. r.
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| 133. | | | A digitális világtól való függés mint napjaink új veszélyforrása
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| 134. | | | A digitális viselkedés és az életmódbeli egyensúly klinikai metszéspontjai: a problémás internethasználat komplex hatása az egészségre
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| 135. | | | Disorders due to addictive behaviors: Further issues, debates, and controversies : Commentary to the debate: "Behavioral addictions in the ICD-11"
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| 136. | | | Dispositional and online-specific Fear of Missing Out are associated with the development of IUD symptoms in different internet applications
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| 137. | | | Distinct patterns of Internet and smartphone-related problems among adolescents by gender: Latent class analysis
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| 138. | | | DNA microarray technology and bioinformatic web services
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| 139. | | | Do evaluation and self-identification relate to self-reported and actual social media use?
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| 140. | | | 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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| 141. | | | A dohányzás visszaszorítása a Facebook segítségével a 14-35 éves korosztály körében
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| 142. | | | Dr. Google: rendelési idő mindennap 0-24. Jó ez?
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| 143. | | | Dr. Quiz: Internet-kapcsolattal rendelkező orvosi tudásellenőrző programrendszer
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| 144. | | | Draconian policy measures are unlikely to prevent disordered gaming
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| 145. | | | 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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| 146. | | | DSM-5 Internet gaming disorder among a sample of Mexican first-year college students
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| 147. | | | Early childhood screen use and symptoms of problematic media use
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| 148. | | | E-doktorok és e-páciensek Magyarországon - Kvalitatív vizsgálat a magyarországi orvosok gyógyítással kapcsolatos internethasználatáról és attitűdjeiről
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| 149. | | | The effect of caffeine use in the relationship between gaming and sleep in adolescents: A mediation analysis
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| 150. | | | Effectiveness of a web-based self-help tool to reduce problem gambling: A randomized controlled trial
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