Distinguishing Pedohebephebophilic Actors and Non-Actors: A Meta-Analysis

Distinguishing factors between pedohebephebophilic actors and non-actors remain a critical area of research for understanding offending behavior and developing targeted interventions. This meta-analysis synthesizes evidence on motivating, facilitating, situational, and other factors that differentiate individuals who have committed sexual offenses against children from those who have not. Following PRISMA guidelines, systematic searches were conducted across PsycNet, ProQuest, Web of Science, PubMed, and PSYNDEX, supplemented by manual searches. Data were analyzed using fixed and random effects models. From 2,185 records screened, 34 studies from 22 datasets met inclusion criteria. We conducted meta-analyses for 50 potential distinguishing factors. The strongest effect sizes were discovered for intelligence (<i>g</i> = -.86), stigma (<i>g</i> = .61), male sex (<i>g</i> = .51), age (<i>g</i> = .48), therapy attendance (<i>g</i> = .43) and interest (<i>g</i> = .43), and sexual (g = .38) and non-sexual (g = .38) adverse childhood experiences. The average quality score was 11.13 (<i>SD</i> = 1.82) out of maximum score of 16. Findings provide support for some motivating, facilitating, situational, and other factors distinguishing pedohebephilic actors from non-actors. These findings offer opportunities for improved risk assessment, prevention strategies, and therapeutic interventions, however, they are limited by the cross-sectional nature of the results.

Authors

Institutions

Publication Details

Journal
Sexual Abuse
Published
2025-11-10
DOI
https://doi.org/10.1177/10790632251389171
Primary Topic
Psychopathy, Forensic Psychiatry, Sexual Offending
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distinguishing Pedohebephebophilic Actors and Non-Actors: A Meta-Analysis

Agatha Chronos, Sara Jahnke
Sexual Abuse
Psychopathy, Forensic Psychiatry, Sexual Offending
article

Distinguishing Pedohebephebophilic Actors and Non-Actors: A Meta-Analysis

Agatha Chronos, Sara Jahnke
article en

Abstract

Distinguishing factors between pedohebephebophilic actors and non-actors remain a critical area of research for understanding offending behavior and developing targeted interventions. This meta-analysis synthesizes evidence on motivating, facilitating, situational, and other factors that differentiate individuals who have committed sexual offenses against children from those who have not. Following PRISMA guidelines, systematic searches were conducted across PsycNet, ProQuest, Web of Science, PubMed, and PSYNDEX, supplemented by manual searches. Data were analyzed using fixed and random effects models. From 2,185 records screened, 34 studies from 22 datasets met inclusion criteria. We conducted meta-analyses for 50 potential distinguishing factors. The strongest effect sizes were discovered for intelligence (<i>g</i> = -.86), stigma (<i>g</i> = .61), male sex (<i>g</i> = .51), age (<i>g</i> = .48), therapy attendance (<i>g</i> = .43) and interest (<i>g</i> = .43), and sexual (g = .38) and non-sexual (g = .38) adverse childhood experiences. The average quality score was 11.13 (<i>SD</i> = 1.82) out of maximum score of 16. Findings provide support for some motivating, facilitating, situational, and other factors distinguishing pedohebephilic actors from non-actors. These findings offer opportunities for improved risk assessment, prevention strategies, and therapeutic interventions, however, they are limited by the cross-sectional nature of the results.

Sexual AbuseVol. 38(2)
University of Bergen (NO)
Openalex Percentile: Top 54%
Psychopathy, Forensic Psychiatry, Sexual Offending
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.