Evidence map›Paper›PMID 40440734›Full record

ArticleSexual abuse : a journal of research and treatment2026

Child Sexual Abuse Material Users on the Darknet: Psychiatric Morbidities Related to Offence Behavior.

Johanna Lätth, Malin Joleby, Allison McMahan, Timothy J Luke, Christoffer Rahm

Abstract read
In one paragraph

Article in Sexual abuse : a journal of research and treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Johanna LätthCentre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.ORCID 0000-0001-6108-4314
Malin JolebyCentre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.ORCID 0000-0001-6155-1947
Allison McMahanCentre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.ORCID 0000-0002-4120-0610
Timothy J LukeDepartment of Psychology, Gothenburg University, Gothenburg, Sweden.ORCID 0000-0002-5513-6605
Christoffer RahmCentre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.ORCID 0000-0002-8934-5130

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals engaging in child sexual abuse often present pedophilic interest, but the other psychiatric morbidities among undetected users of child sexual abuse material (CSAM) are largely unknown. We mapped the psychiatric profile of 160 mainly male and primarily non-convicted anonymous Darknet-recruited adult CSAM users. The participants' psychiatric morbidities were analyzed descriptively, and correlations between sexual pathologies known as risk factors for committing child sexual abuse (paraphilias, hypersexuality) and CSAM offense behavior (viewing time, content) were examined in a series of exploratory linear regression models. Pedophilic interests, hypersexuality, autism traits, ADHD, and depression were commonly reported. Further, hypersexuality was associated with CSAM viewing time (

Indexed as

Child Abuse, SexualMental DisordersPedophiliaAdultChildFemaleHumansMaleMiddle AgedParaphilic DisordersRisk Factorschild sexual abuse materialhypersexualitypedophiliasexual interestszoophilia

Identifiers

PMID40440734
PMCPMC12722556

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.