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Identification and comprehensive characterization of moral disapproval and behavioral dysregulation-based pornography-use profiles across 42 countries

  • Beáta Bothe
  • , István Tóth-Királyorcid
  • , Nevena Popova
  • , Léna Nagyorcid
  • , Mónika Koósorcid
  • , Zsolt Demetrovicsorcid
  • , Marc N. Potenzaorcid
  • , Shane W. Kraus
  • , Rafael Ballester-Arnal
  • , Dominik Batthyány
  • , Sophie Bergeron
  • , Joël Billieux
  • , Peer Briken
  • , Julius Burkauskas
  • , Georgina Cárdenas-López
  • , Joana Carvalho
  • , Jesús Castro-Calvo
  • , Lijun Chen
  • , Giacomo Ciocca
  • , Ornella Corazza
  • Rita I. Csako, Andrea Czakó, David P. Fernandez, Elaine F. Fernandez, Hironobu Fujiwara, Johannes Fuss, Roman Gabrhelík, Ateret Gewirtz-Meydan, Biljana Gjoneska, Mateusz Gola, Hashim T. Hashim, Md Saiful Islam, Mustafa Ismail, Martha C. Jiménez-Martínez, Tanja Jurin, Ondrej Kalina, Verena Klein, András Költo, Chih Ting Lee, Sang Kyu Lee, Karol Lewczuk, Chung Ying Lin, Christine Lochner, Silvia López-Alvarado, Kateřina Lukavská, Percy Mayta-Tristán, Dan J. Miller, Oľga Orosová, Gábor Orosz, Fernando P. Ponce, Gonzalo R. Quintana, Gabriel C. Quintero Garzola, Jano Ramos-Diaz, Kévin Rigaud, Ann Rousseau, Marco De Tubino Scanavino, Marion K. Schulmeyer, Pratap Sharan, Mami Shibata, Sheikh Shoib, Vera Sigre-Leirós, Luke Sniewski, Ognen Spasovski, Vesta Steibliene, Dan J. Stein, Aleksandar Štulhofer, Berk C. Ünsal, Marie Pier Vaillancourt-Morel, Marie Claire Van Hout, Joshua B. Grubbs
  • University of Montreal
  • Concordia University
  • Eötvös Loránd University
  • University of Duisburg-Essen
  • University of Gibraltar
  • Flinders University
  • Yale University
  • University of Nevada, Las Vegas
  • Jaume I University
  • University of Lausanne
  • University of Hamburg
  • Lithuanian University of Health Sciences
  • Universidad Nacional Autónoma de México
  • University of Aveiro
  • University of Valencia
  • Fuzhou University
  • University of Rome La Sapienza
  • University of Hertfordshire
  • University of Trento
  • Auckland University of Technology
  • Nottingham Trent University
  • HELP University
  • Kyoto University
  • RIKEN
  • The University of Osaka
  • Charles University
  • University of Haifa
  • Macedonian Academy of Sciences and Arts
  • Polish Academy of Sciences
  • University of California at San Diego
  • University of Baghdad
  • University of Warith Alanbiyaa
  • Jahangirnagar University
  • University of Zagreb
  • Pavol Jozef Šafárik University
  • University of Southampton
  • University of Galway
  • National Cheng Kung University
  • Hallym University
  • Cardinal Stefan Wyszynski University
  • Universidad de Cuenca
  • Universidad Científica del Sur
  • James Cook University Queensland
  • Université d'Artois
  • Sungkyunkwan University
  • Universidad de Talca
  • Universidad de Tarapacá
  • Florida State University
  • Universidad Privada del Norte
  • KU Leuven
  • Western University
  • Universidade de São Paulo
  • All India Institute of Medical Sciences, New Delhi
  • University of Social Welfare and Rehabilitation Sciences
  • SS Cyril and Methodius University in Skopje
  • University of Cape Town
  • Université du Québec à Trois-Rivières
  • Liverpool John Moores University
  • University of New Mexico

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Background and aims: The Moral Incongruence Model of Pornography Use proposes that pornography-use-related problems may be present due to problematic pornography use (PPU) and/or moral disapproval (MD) of pornography use. Despite some supporting empirical evidence, no study has tested the presence of different pornography-use profiles based on individuals' behavioral dysregulation (i.e., PPU) and moral values concerning pornography use. The generalizability of previous findings to diverse populations has also been limited given the scarcity of studies conducted outside of Western countries. Methods: Using data from the International Sex Survey (42 countries, N = 66,994; Mage = 32.16 years, SD = 12.27), we conducted latent profile analysis to identify pornography-use profiles based on individuals' frequency of use, MD, and PPU. The profiles were compared along a wide range of pornography-use-related, sexuality-related, and psychological correlates. Results: Six pornography-use profiles were identified, including two increased risk groups (i.e., Increased risk of PPU without MD and Increased risk of PPU with some MD). Several factors differentiated between the increased risk vs. no/low risk profiles (e.g., relatedness satisfaction) as well as between the two increased risk profiles (e.g., religiosity). Apart from behavioral dysregulation, moral values concerning pornography use played an important role in distinguishing pornography-use profiles and demonstrated the importance of inquiring about MD when working with individuals with pornography-use-related problems. Conclusion: Findings also support recent calls for better-integrated sex therapy and sexual medicine perspectives into pornography-use-related problems research and care.

Original languageEnglish
Pages (from-to)131-154
Number of pages24
JournalJournal of Behavioral Addictions
Volume14
Issue number1
DOIs
StatePublished - 28 Mar 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • addictive behavior
  • compulsive behavior
  • dysregulation
  • morality
  • pornography

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