Evidence map›Paper›PMID 42886448›Full record

ArticleJournal of autism and developmental disorders2026

Cyber Dependent Crime May Be Predicted by Autism Diagnosis but Not Autistic Traits.

Alliyza Lim, Neil Brewer

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Article in Journal of autism and developmental disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Alliyza LimCollege of Education, Psychology & Social Work, Flinders University, GPO Box 2100, Adelaide, SA, 5001, Australia. alliyza.lim@flinders.edu.au.ORCID http://orcid.org/0000-0001-7451-6112
Neil BrewerCollege of Education, Psychology & Social Work, Flinders University, GPO Box 2100, Adelaide, SA, 5001, Australia.ORCID http://orcid.org/0000-0003-3465-9244

Funding

Australian Research Council DP 190100162
6 · The paper itself

Abstract

purposePrevious research has produced mixed findings on the question of whether autism or the degree of autistic traits influence the prevalence of cybercrime. Our objective was to resolve some of these inconsistencies by investigating the relationships between autism diagnosis, autistic traits, advanced computer skills and different types of cybercrime in adults.

methodsAutistic (N = 138) and non-autistic (N = 206) adults completed (a) the 50-item Autism Spectrum Quotient to assess degree of autistic traits, (b) the Cyber-Dependent Crime Questionnaire and the Cyber Crime Index to measure the prevalence of cyber-dependent and cyber-enabled crime, and (c) the LiES and the BIDR-16 to permit control for any tendency of participants to lie and provide socially desirable responses. Participants who endorsed any engagement in cybercrime also described the activity to ensure that any disclosure of cybercrime was in fact criminal activity.

resultsAutism diagnosis, but not autistic traits, was a significant predictor of cyber-dependent crime. However, this relationship was not mediated by advanced digital skills or theory of mind. Furthermore, neither autism diagnosis nor autistic traits predicted engagement in cybercrime more broadly.

conclusionContrary to the view that autistic individuals are no more likely to become involved in criminal activity than non-autistic adults, our study indicates that autism may be a risk factor for involvement in cybercrime. However, whether autism diagnosis is the driving factor in this relationship, or there are other individual and socio-environmental factors that might be critical enabling factors, awaits further investigation.

Indexed as

AutismAutistic characteristicsCybercrimeLying behavior

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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.