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University Students” ( n = 385), “Internet addiction and mental health problem” ( n = 297), and “Internet pornography addiction and its consequences” ( n = 255). In Scopus dataset, “Internet addiction in adolescents and students: Prevalence and risk
-perceived pornography addiction, reduced pornography craving, and higher pornography avoidance self-efficacy. For this study, an a-priori power analysis had been conducted. Hoarding disorder Two studies assessing interventions targeting hoarding disorder were identified
. , Laier , C. , & Maderwald , S. ( 2016 ). Ventral striatum activity when watching preferred pornographic pictures is correlated with symptoms of Internet pornography
Criteria for the establishment of a new behavioural addiction •
Commentary to the debate: “Behavioral addictions in the ICD-11”
Ley , D. , Prause , N. , & Finn , P. ( 2014 ). The emperor has No clothes: A review of the “Pornography addiction” model
Behavior Disorder Inventory – 19 ( Böthe et al., 2020 ). In Poland, 8.7% of men report some agreement with pornography addiction ( Lewczuk, Glica, Nowakowska, Gola, & Grubbs, 2020 ), as in 4.4% of Australian men ( Rissel et al., 2017 ). Also, four surveys
: Internet Addiction; GIA: Generalized Internet addiction; IGD: Internet Gaming Addiction; IUD: Internet Use Disorder; SA: Smartphone Addiction; OPA: Online Pornography Addiction; OSA: Online Social Media Addiction; CB: Compulsive buying; OGA: Online Gambling
. , & Maderwald , S. ( 2016 ). Ventral striatum activity when watching preferred pornographic pictures is correlated with symptoms of Internet pornography addiction . Neuroimage , 129
is correlated with symptoms of Internet pornography addiction . Neuroimage , 129 , 224 – 232 . https://doi.org/10.1016/j.neuroimage.2016.01.033 . 10.1016/j.neuroimage.2016
internet pornography addiction . NeuroImage , 129 , 224 – 232 https://doi.org/10.1016/j.neuroimage.2016.01.033 . 10.1016/j.neuroimage.2016.01.033 Bőthe , B. , Tóth-Király , I. , Potenza , M. N. , Griffiths , M. D. , Orosz , G. , & Demetrovics
at certain levels, individuals have distinct forms of specific Internet-related addiction, such as gambling, gaming, shopping, social media, and pornography addictions ( Király et al., 2014 ; Montag et al., 2015 ). Furthermore, these
