The Propensity for Deviant Sexual Behavior in the General Population: An Empirical Examination of the Motivation-Facilitation Model

In their influential paper Wurtele et al. (2014) investigated the degree to which individuals within the general population (<i>N</i> = 435) express sexual interest in children. In the male population of their study (<i>n</i> = 173), about 6% showed a propensity to engage in sexual activity with a child. Based on a German general population sample consisting of women and men (<i>N</i> = 911, <i>n</i> = 206 males), we were able to replicate most of the results of Wurtele and colleagues (e.g., 6% of men indicated some likelihood of having sex with a child). To explain sexual offending, Seto (2019) developed the motivation-facilitation model (MFM). In our study, we were interested whether this model also translates to explaining the propensity for deviant sexual behavior in the general population. Moderated hierarchical logistic regression analyses revealed that hypersexuality and sexual fantasies had significant effects as motivating factors for <i>deviant sexual behavior</i> (e.g., sexually assaulting an adult), whereas we found no significant effect of psychopathy as a facilitator. For the prediction of <i>child sexual abuse</i>, only hypersexuality had a significant effect. Notably, after including gender in both models the effect of hypersexuality was no longer significant. Accordingly, we were able to show that the MFM is useful in explaining the propensity for deviant sexual behavior foremost in the male general population. Thus, in clinical practice an assessment of hypersexuality seems to be most relevant for the male population.

Authors

Institutions

Publication Details

Journal
Sexual Abuse
Published
2024-09-13
DOI
https://doi.org/10.1177/10790632241283752
Citations
5
Primary Topic
Sexuality, Behavior, and Technology
Type
article
Field-Weighted Citation Impact
3.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Propensity for Deviant Sexual Behavior in the General Population: An Empirical Examination of the Motivation-Facilitation Model

Robert Lehmann, Alexander F. Schmidt, Sören Enge, Fabian Obermeier
5 citations
Sexual Abuse
Sexuality, Behavior, and Technology
3.20
article

The Propensity for Deviant Sexual Behavior in the General Population: An Empirical Examination of the Motivation-Facilitation Model

Robert Lehmann, Alexander F. Schmidt, Sören Enge, Fabian Obermeier
article en
5 citations

Abstract

In their influential paper Wurtele et al. (2014) investigated the degree to which individuals within the general population (<i>N</i> = 435) express sexual interest in children. In the male population of their study (<i>n</i> = 173), about 6% showed a propensity to engage in sexual activity with a child. Based on a German general population sample consisting of women and men (<i>N</i> = 911, <i>n</i> = 206 males), we were able to replicate most of the results of Wurtele and colleagues (e.g., 6% of men indicated some likelihood of having sex with a child). To explain sexual offending, Seto (2019) developed the motivation-facilitation model (MFM). In our study, we were interested whether this model also translates to explaining the propensity for deviant sexual behavior in the general population. Moderated hierarchical logistic regression analyses revealed that hypersexuality and sexual fantasies had significant effects as motivating factors for <i>deviant sexual behavior</i> (e.g., sexually assaulting an adult), whereas we found no significant effect of psychopathy as a facilitator. For the prediction of <i>child sexual abuse</i>, only hypersexuality had a significant effect. Notably, after including gender in both models the effect of hypersexuality was no longer significant. Accordingly, we were able to show that the MFM is useful in explaining the propensity for deviant sexual behavior foremost in the male general population. Thus, in clinical practice an assessment of hypersexuality seems to be most relevant for the male population.

Sexual AbuseVol. 37(4)
Johannes Gutenberg University Mainz (DE), MSB Medical School Berlin (DE)
Gender equality
Openalex Percentile: Top 8%
Sexuality, Behavior, and Technology
3.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.