Evidence map›Paper›PMID 25901187›Full record

ArticleJournal of neurodevelopmental disorders2015

Sexually dimorphic facial features vary according to level of autistic-like traits in the general population.

Syed Zulqarnain Gilani, Diana Weiting Tan, Suzanna N Russell-Smith, Murray T Maybery, Ajmal Mian, Peter R Eastwood, Faisal Shafait, Mithran Goonewardene, Andrew Jo Whitehouse

Abstract read
In one paragraph

Article in Journal of neurodevelopmental disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

9 authors.

Syed Zulqarnain Gilani *School of Computer Science and Software Engineering, University of Western Australia, 35 Stirling Highway, Crawley, 6009 Perth, WA Australia.
Diana Weiting Tan *Neurocognitive Development Unit, School of Psychology, University of Western Australia, 35 Stirling Highway, Crawley, 6009 Perth, WA Australia.
Suzanna N Russell-SmithNeurocognitive Development Unit, School of Psychology, University of Western Australia, 35 Stirling Highway, Crawley, 6009 Perth, WA Australia.
Murray T MayberyNeurocognitive Development Unit, School of Psychology, University of Western Australia, 35 Stirling Highway, Crawley, 6009 Perth, WA Australia.
Ajmal MianSchool of Computer Science and Software Engineering, University of Western Australia, 35 Stirling Highway, Crawley, 6009 Perth, WA Australia.
Peter R EastwoodSchool of Anatomy, Physiology and Human Biology, University of Western Australia, 35 Stirling Highway, Crawley, 6009 Perth, WA Australia.
Faisal ShafaitSchool of Computer Science and Software Engineering, University of Western Australia, 35 Stirling Highway, Crawley, 6009 Perth, WA Australia.
Mithran GoonewardeneSchool of Dentistry/Oral Health Centre of Western Australia, University of Western Australia, 35 Stirling Highway, Crawley, 6009 Perth, WA Australia.
Andrew Jo WhitehouseNeurocognitive Development Unit, School of Psychology, University of Western Australia, 35 Stirling Highway, Crawley, 6009 Perth, WA Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn a recent study, Bejerot et al. observed that several physical features (including faces) of individuals with an autism spectrum disorder (ASD) were more androgynous than those of their typically developed counterparts, suggesting that ASD may be understood as a 'gender defiant' disorder. These findings are difficult to reconcile with the hypermasculinisation account, which proposes that ASD may be an exaggerated form of cognitive and biological masculinity. The current study extended these data by first identifying six facial features that best distinguished males and females from the general population and then examining these features in typically developing groups selected for high and low levels of autistic-like traits.

methodsIn study 1, three-dimensional (3D) facial images were collected from 208 young adult males and females recruited from the general population. Twenty-three facial distances were measured from these images and a gender classification and scoring algorithm was employed to identify a set of six facial features that most effectively distinguished male from female faces. In study 2, measurements of these six features were compared for groups of young adults selected for high (n = 46) or low (n = 66) levels of autistic-like traits.

resultsFor each sex, four of the six sexually dimorphic facial distances significantly differentiated participants with high levels of autistic-like traits from those with low trait levels. All four features were less masculinised for high-trait males compared to low-trait males. Three of four features were less feminised for high-trait females compared to low-trait females. One feature was, however, not consistent with the general pattern of findings and was more feminised among females who reported more autistic-like traits. Based on the four significantly different facial distances for each sex, discriminant function analysis correctly classified 89.7% of the males and 88.9% of the females into their respective high- and low-trait groups.

conclusionsThe current data provide support for Bejerot et al.'s androgyny account since males and females with high levels of autistic-like traits generally showed less sex-typical facial features than individuals with low levels of autistic-like traits.

Indexed as

AutismAutism spectrum disorderFacial featuresFemininityGender defiant disorderHypermasculinisationMasculinityRaine study

Identifiers

PMID25901187
PMCPMC4404287

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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.