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Profiles of Pornography Use Based on Addictive Mechanisms and Psychopathological Features
Studies using person-centered approaches to further explore the profiles of pornography users throw their psychiatric features are lacking. This study was designed to examine the different profiles of pornography users based on the addictive dimensions of Problematic Pornography Use (PPU) and to cha...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235843/ https://www.ncbi.nlm.nih.gov/pubmed/37363758 http://dx.doi.org/10.1007/s11469-023-01087-x |
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author | Hernández-Mora Ruiz Del Castillo, María Bonnet, Philippe Varescon, Isabelle |
author_facet | Hernández-Mora Ruiz Del Castillo, María Bonnet, Philippe Varescon, Isabelle |
author_sort | Hernández-Mora Ruiz Del Castillo, María |
collection | PubMed |
description | Studies using person-centered approaches to further explore the profiles of pornography users throw their psychiatric features are lacking. This study was designed to examine the different profiles of pornography users based on the addictive dimensions of Problematic Pornography Use (PPU) and to characterize these profiles according to psychopathological variables such as depression, anxiety, attention deficit hyperactivity disorder (ADHD) and obsessive–compulsive disorder (OCD). A sample of 1001 French adults participated to a survey containing scales related to psychopathological variables, cybersexual addiction and PPU. PPU was assessed with the French Version of Problematic Pornography Consumption Scale (Fr-PPCS-18). An Agglomerative Hierarchical Classification was performed on the basis of FR-PPCS-18. A student's t-test was used to observe PPU and psychopathological differences between profiles. Findings revealed three profiles of users: non-problematic users (66.5%), at-risk users (29.9%), and problematic users (3.6%). There were significant differences between the three profiles concerning levels of global PPU, PPU mechanisms, cybersexual addiction symptoms, ADHD symptomatology and depressive symptomatology. Results confirmed the existence of different levels of severity of pornography use corresponding to three different profiles. Also, findings revealed the influence of ADHD symptoms, obsessive–compulsive symptoms and depressive symptoms on PPU. |
format | Online Article Text |
id | pubmed-10235843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-102358432023-06-06 Profiles of Pornography Use Based on Addictive Mechanisms and Psychopathological Features Hernández-Mora Ruiz Del Castillo, María Bonnet, Philippe Varescon, Isabelle Int J Ment Health Addict Original Article Studies using person-centered approaches to further explore the profiles of pornography users throw their psychiatric features are lacking. This study was designed to examine the different profiles of pornography users based on the addictive dimensions of Problematic Pornography Use (PPU) and to characterize these profiles according to psychopathological variables such as depression, anxiety, attention deficit hyperactivity disorder (ADHD) and obsessive–compulsive disorder (OCD). A sample of 1001 French adults participated to a survey containing scales related to psychopathological variables, cybersexual addiction and PPU. PPU was assessed with the French Version of Problematic Pornography Consumption Scale (Fr-PPCS-18). An Agglomerative Hierarchical Classification was performed on the basis of FR-PPCS-18. A student's t-test was used to observe PPU and psychopathological differences between profiles. Findings revealed three profiles of users: non-problematic users (66.5%), at-risk users (29.9%), and problematic users (3.6%). There were significant differences between the three profiles concerning levels of global PPU, PPU mechanisms, cybersexual addiction symptoms, ADHD symptomatology and depressive symptomatology. Results confirmed the existence of different levels of severity of pornography use corresponding to three different profiles. Also, findings revealed the influence of ADHD symptoms, obsessive–compulsive symptoms and depressive symptoms on PPU. Springer US 2023-06-02 /pmc/articles/PMC10235843/ /pubmed/37363758 http://dx.doi.org/10.1007/s11469-023-01087-x Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Hernández-Mora Ruiz Del Castillo, María Bonnet, Philippe Varescon, Isabelle Profiles of Pornography Use Based on Addictive Mechanisms and Psychopathological Features |
title | Profiles of Pornography Use Based on Addictive Mechanisms and Psychopathological Features |
title_full | Profiles of Pornography Use Based on Addictive Mechanisms and Psychopathological Features |
title_fullStr | Profiles of Pornography Use Based on Addictive Mechanisms and Psychopathological Features |
title_full_unstemmed | Profiles of Pornography Use Based on Addictive Mechanisms and Psychopathological Features |
title_short | Profiles of Pornography Use Based on Addictive Mechanisms and Psychopathological Features |
title_sort | profiles of pornography use based on addictive mechanisms and psychopathological features |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235843/ https://www.ncbi.nlm.nih.gov/pubmed/37363758 http://dx.doi.org/10.1007/s11469-023-01087-x |
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