Evidence map›Paper›PMID 26488477›Full record

ArticlePloS one2015

Sex and STEM Occupation Predict Autism-Spectrum Quotient (AQ) Scores in Half a Million People.

Emily Ruzich, Carrie Allison, Bhismadev Chakrabarti, Paula Smith, Henry Musto, Howard Ring, Simon Baron-Cohen

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Measuring the Autistic Women's Experience (AWE).International journal of environmental research and public health · 2023
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  7. Revisiting the Relationship between Cybercrime, Autistic Traits, and Autism.Journal of autism and developmental disorders · 2023
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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

7 authors.

Emily RuzichAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Carrie AllisonAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; NIHR CLAHRC-EoE for Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom.
Bhismadev ChakrabartiAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading, Reading, United Kingdom.
Paula SmithAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Henry MustoAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Howard RingCambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; NIHR CLAHRC-EoE for Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom.
Simon Baron-CohenAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; NIHR CLAHRC-EoE for Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom; CLASS Clinic, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom.

Funding

Medical Research Council G0600977Wellcome Trust
6 · The paper itself

Abstract

This study assesses Autism-Spectrum Quotient (AQ) scores in a 'big data' sample collected through the UK Channel 4 television website, following the broadcasting of a medical education program. We examine correlations between the AQ and age, sex, occupation, and UK geographic region in 450,394 individuals. We predicted that age and geography would not be correlated with AQ, whilst sex and occupation would have a correlation. Mean AQ for the total sample score was m = 19.83 (SD = 8.71), slightly higher than a previous systematic review of 6,900 individuals in a non-clinical sample (mean of means = 16.94) This likely reflects that this big-data sample includes individuals with autism who in the systematic review score much higher (mean of means = 35.19). As predicted, sex and occupation differences were observed: on average, males (m = 21.55, SD = 8.82) scored higher than females (m = 18.95; SD = 8.52), and individuals working in a STEM career (m = 21.92, SD = 8.92) scored higher than individuals non-STEM careers (m = 18.92, SD = 8.48). Also as predicted, age and geographic region were not meaningfully correlated with AQ. These results support previous findings relating to sex and STEM careers in the largest set of individuals for which AQ scores have been reported and suggest the AQ is a useful self-report measure of autistic traits.

Indexed as

AdultAutistic DisorderFemaleHumansMaleOccupationsPersonality AssessmentPsychometricsSelf ReportUnited Kingdom

Identifiers

PMID26488477
PMCPMC4619566

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.