1,291
Views
7
CrossRef citations to date
0
Altmetric
Articles

Understanding men who access sexualised images of children: exploratory interviews with offenders

&
Pages 60-73 | Received 24 Nov 2017, Accepted 09 Oct 2018, Published online: 24 Dec 2018
 

ABSTRACT

The number of online users of child sexual abuse imagery is increasing but factors associated with internet offending and effective treatment remain unclear. This qualitative study aimed to understand what leads individuals to access sexually abusive images of children and to assist with treatment development. In-depth interviews with 12 adult men from prison or community offender treatment programmes were conducted and thematically analysed. Findings were that the men's development was characterised by difficulties in early family life, negative school experiences, difficult sexual development, and difficult intimate relationships. Precipitants to offending included stress, progression from legal material, loneliness and isolation. Maintaining factors included trying to cope with negative emotions through accessing abusive images, seeing it as an “addiction”, and denial (a “victimless” offence). Useful treatment included understanding their offending, working in a group, a safe therapeutic environment, and knowledgeable, non-judgemental therapists. Continued psychological support post-treatment was requested, and deterrent software monitoring.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 375.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.