Evidence map›Paper›PMID 36217913›Full record

ArticleAutism : the international journal of research and practice2023

Detecting dodgy behaviour: The role of autism, autistic traits and theory of mind.

Neil Brewer, Carmen A Lucas, Alliyza Lim, Robyn L Young

Open access · greenAbstract read
In one paragraph

Article in Autism : the international journal of research and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 28% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Autistic adults' inclination to lie in everyday situations.Autism : the international journal of research and practice · 2024
    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

4 authors at 1 institution in 1 country.

Neil BrewerFlinders University, Australia.ORCID 0000-0003-3465-9244
Carmen A LucasFlinders University, Australia.ORCID 0000-0002-7984-8068
Alliyza LimFlinders University, Australia.ORCID 0000-0001-7451-6112
Robyn L YoungFlinders University, Australia.ORCID 0000-0002-6124-8515
Flinders University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

lay abstractDifficulties in reading others' minds make it difficult to anticipate their future behaviour. It has often been argued that such difficulties contribute to autistic individuals becoming enmeshed in criminal activity. However, supportive scientific evidence is virtually non-existent. We compared the ability of groups of autistic and non-autistic adults of similar intellectual ability to detect dodgy or suspicious behaviour across a wide range of scenarios. Although the autistic group performed more poorly than the non-autistic group on an established measure of mindreading, there were no group differences in the ability to detect dodginess. Nor did we find any evidence that detecting dodgy behaviour was associated with the degree of autistic traits reported by individual participants. However, when we combined the two groups, difficulty reading the minds of others was indeed associated with poorer detection of dodginess, thus highlighting a characteristic of individuals that may well increase the likelihood of becoming involved in crime or exploited for autistic and non-autistic individuals alike.

Indexed as

Autism Spectrum DisorderAutistic DisorderTheory of MindAdultHumansSocial Behaviorautismautistic traitscriminalitysignal detection theorytheory of mind

Identifiers

PMID36217913
PMCPMC10115935
OpenAlexW4304183170

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.