Viewing Child Pornography: Prevalence and Correlates in a Representative Community Sample of Young Swedish Men
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Most research on child pornography use has been based on selected clinical or criminal justice samples; risk factors for child pornography use in the general population remain largely unexplored. In this study, we examined prevalence, risk factors, and correlates of viewing depictions of adult–child sex in a population-representative sample of 1,978 young Swedish men (17–20 years, Mdn = 18 years, overall response rate, 77 %). In an anonymous, school-based survey, participants self-reported sexual coercion experiences, attitudes and beliefs about sex, perceived peer attitudes, and sexual interests and behaviors; including pornography use, sexual interest in children, and sexually coercive behavior. A total of 84 (4.2 %) young men reported they had ever viewed child pornography. Most theory-based variables were moderately and significantly associated with child pornography viewing and were consistent with models of sexual offending implicating both antisociality and sexual deviance. In multivariate logistic regression analysis, 7 of 15 tested factors independently predicted child pornography viewing and explained 42 % of the variance: ever had sex with a male, likely to have sex with a child aged 12–14, likely to have sex with a child 12 or less, perception of children as seductive, having friends who have watched child pornography, frequent pornography use, and ever viewed violent pornography. From these, a 6-item Child Pornography Correlates Scale was constructed and then cross-validated in a similar but independent Norwegian sample.
KeywordsChild pornography use Antisociality Sexual deviance Sex offenders against children
The Swedish survey was funded by the Swedish Ministry of Health and Social Affairs and the Norwegian survey was funded by the Norwegian Ministry of Child and Family Affairs. The research network that conducted the Baltic Sea Regional Study on Adolescent Sexuality was funded by the Norwegian Research Council. Niklas Långström was funded by the Swedish Research Council. We thank Dr. Svein Mossige for access to the Norwegian data used to cross-validate our Child Pornography Correlates Scale. The authors have no financial interests to disclose regarding this study.
- Baines, V. (2008, November). Online child sexual abuse: The law enforcement response. Paper presented at the Third World Congress of ECPAT International, Rio de Janeiro, Brazil. Retrieved from http://www.ecpat.net/worldcongressIII/PDF/Publications/ICT_Law/Thematic_Paper_ICTLAW_ENG.pdf
- Blanchard, R., Kolla, N. J., Cantor, J. M., Klassen, P. E., Dickey, R., Kuban, M. E., & Blak, T. (2007). IQ, handedness, and pedophilia in adult male patients stratified by referral source. Sexual Abuse: A Journal of Research and Treatment, 19, 285–309. doi: 10.1007/s11194-007-9049-0
- Canwest News Service. (2009). Retrieved from http://www.canada.com/ottawacitizen/news/story.html?id=392a7d0f-e5dc-4e5b-b163-ef34711a9994&k=79268
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.Google Scholar
- Field, A. (2009). Discovering statistics using SPSS. London, England: Sage.Google Scholar
- Forsman, M., Santtila, P., Johansson, A., Sandnabba, K., & Långström, N. (2013). Childhood maltreatment and risk of sexual and non-sexual violent behavior. Manuscript submitted for publication.Google Scholar
- Jenkins, P. (2001). Beyond tolerance: Child pornography on the Internet. New York: New York University Press.Google Scholar
- Lipsey, M., & Derzon, J. H. (1998). Predictors of violent or serious delinquency in adolescence and early adulthood: A synthesis of longitudinal research. In R. E. Loeber & D. P. Farrington (Eds.), Serious and violent juvenile offenders: Risk factors and successful interventions (pp. 86–105). Thousand Oaks, CA: Sage.Google Scholar
- Malamuth, N. M., Linz, D., Heavey, C. L., Barnes, G., & Acker, M. (1995). Using the confluence model of sexual aggression to predict men’s conflict with women: A 10-year follow-up study. Journal of Personality and Social Psychology, 69, 353–369. doi: 10.1037/0022-35188.8.131.523.CrossRefPubMedGoogle Scholar
- Motivans, M., & Kyckelhahn, T. (2007). Federal prosecution of child sex exploitation offenders, 2006. Bureau of Justice Statistics Bulletin (Report No. NCJ 219412). Washington, DC: Bureau of Justice Statistics.Google Scholar
- Neutze, J., Seto, M. C., Schaefer, G. A., Mundt, I. A., & Beier, K. M. (2011). Predictors of child pornography offenses and child sexual abuse in a community sample of pedophiles and hebephiles. Sexual Abuse: A Journal of Research and Treatment, 23, 212–242. doi: 10.1177/1079063210382043.Google Scholar
- Ray, J. V., Kimonis, E. R., & Seto, M. C. (2013). Correlates and moderators of child pornography consumption in a community sample. Sexual Abuse: A Journal of Research and Treatment. doi: 10.1177/1079063213502678.
- Siegfried, K. C., Lovely, R. W., & Rogers, M. K. (2008). Self-reported online child pornography behavior: A psychological analysis. International Journal of Cyber Criminology, 2, 286–297.Google Scholar
- Statistics Sweden. (2007). Population statistics. Retrieved from http://www.scb.se/en_/Finding-statistics/Publishing-calendar/Show-detailed-information/?publobjid=6636++.
- Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. Boston, MA: Pearson Education Inc.Google Scholar
- Uppsala kommun. (2005). Uppsala kommun utvärderingsenheten. Utvärdering av elevers frånvaro i gymnasieskolan i Uppsala kommun [The evaluation unit of the Uppsala local authority: 2005:6. Evaluation of students’ absence from high school in Uppsala]. Retrieved http://www.uppsala.se; Accessed March 6, 2007.
- Ward, T., Polaschek, D. L. L., & Beech, A. R. (2006). Theories of sexual offending. West Sussex, England: John Wiley & Sons.Google Scholar
- Whitaker, D. J., Le, B., Hanson, R. K., Baker, C. K., McMahon, P. M., Ryan, G., Klein, A., & Rice, D. D. (2008). Risk factors for the perpetration of child sexual abuse: A review and meta-analysis. Child Abuse & Neglect, 32, 529–548. doi: 10.1016/j.chiabu.2007.08.005
- Wolak, J. (2011, October). What we know (and don’t know) about Internet sex offenders. Plenary presented at the annual meeting of the Association for the Treatment of Sexual Abusers, Toronto, Ontario, Canada. Handout from http://www.atsa.com/sites/default/files/ConfHO2011Wolak.pdf
- Wolak, J., Finkelhor, D., & Mitchell, K. J. (2005). Child pornography possessors arrested in internet-related crimes: Findings from the National Juvenile Online Victimization Study (Report CV81). Alexandria, VA: National Center for Missing and Exploited Children.Google Scholar