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“Diagnostic inflation” will not resolve taxonomical problems in the study of addictive online behaviours. •
Commentary on: How to overcome taxonomical problems in the study of Internet use disorders and what to do with “smartphone addiction”? (Montag et al., 2020)
Montag, Wegmann, Sariyska, Demetrovics, and Brand (2020) propose a new classification scheme for Internet use disorders (IUD), conceptualised as “predominantly online addictive behaviors” (p. 3). Their model suggests two “forms” of IUD
has been proposed to be considered as an “other specified disorder due to addictive behaviors” within the ICD-11 ( Brand et al., 2020 ). Researchers have distinguished PS episodes from other shopping episodes by the characteristic preoccupation about
unregulated IP use and substance use disorders, some authors argue for a classification as a disorder due to addictive behaviors ( Gola et al., 2017 ; Love, Laier, Brand, Hatch, & Hajela, 2015 ; Potenza, Gola, Voon, Kor, & Kraus, 2017 ; Young, 2008
harmonious passion for TV series watching and specific forms of motivations (i.e., social interaction and self-development; Tóth-Király et al., 2017 ). Conversely, based on the literature on excessive and addictive behaviors, several additional motives can
neurobiological parallels to disorders due to addictive behaviors ( Kraus et al., 2018 ; Stark, Klucken, Potenza, Brand, & Strahler, 2018 ; Wéry & Billieux, 2017 ). Regardless of the discrimination between both classifications in the ICD-11, both - impulse
Commentary on: Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research
On functional and compulsive aspects of reinforcement pathologies
-change from addictive behaviors (p. 31 – 57 ). Springer : New York, NY . Boog , M. , Höppener , P. , van der Wetering , B. J. M. , Goudriaan , A. E. , Boog , M. C. & Franken
Prerequisites for stakeholder framework: Consumer advocacy and health protection in the digital industry. •
Commentary on: Problematic risk-taking involving emerging technologies: A stakeholder framework to minimize harms (Swanton et al., 2019)
. , Duven , E. , Giralt , S. , Beutel , M. E. , & Müller , K. W. ( 2017 ). Free-to-play: About addicted whales, at risk dolphins and healthy minnows. Monetarization design and internet gaming disorder . Addictive Behaviors , 64 , 328 – 333
. A. , Stephenson , G. M. , & Lefever , R. M. H. ( 2004 ). Covariation in addictive behaviours: A study of addictive orientations using the Shorter PROMIS Questionnaire . Addictive Behaviors, 29 ( 1
PROMIS Questionnaire: Further validation of a tool for simultaneous assessment of multiple addictive behaviours . Addictive Behaviors, 28 ( 2 ), 225 – 248 . doi: 10.1016/S0306-4603(01)00231-3 10.1016/S0306
J. L. Derevensky M. N. Potenza 2010 Non-substance-addictive behaviors in youth: Pathological gambling and problematic Internet use
