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The Importance of Using an Optimal Cut-Off Value for the 10-Item Autism Spectrum Quotient (AQ10)

Lucy Waldren, Lucy Anne Livingston, Rachel Clutterbuck, Esther Walton, Mitch Callan, Punit Shah

Research output: Contribution to journalArticlepeer-review

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Abstract

The 10-item Autism-Spectrum Quotient (AQ10) is frequently used to screen adults for high autistic traits in clinical practice and research. For the past decade, however, the National Institute for Health and Care Excellence has recommended the use of a suboptimal ≥7 cutoff value, instead of the optimal ≥6 value specified during the AQ10’s development. A comprehensive review into the use and reporting of the AQ10 cutoff suggests that this discrepancy has proliferated across the literature, with over 58% of reports citing a suboptimal (27.15%) or ambiguous (31.13%) cutoff value. After examining the use of the AQ10 cutoff in previous research, we drew on 25 published data sets (N = 13,692) to test how applying different AQ10 cutoffs can influence research. Our analyses suggest that a striking 36.80% of the participants classified as having high autistic traits using the ≥6 cutoff would be classified as having low autistic traits using the ≥7 cutoff. The ≥6 cutoff was also found to provide a better balance between the sensitivity and specificity of the AQ10 with respect to a clinical autism diagnosis. Most critically, our analyses showed that even a 1-point difference in the AQ10 cutoff—the error made in the National Institute for Health and Care Excellence guidelines—can meaningfully change both the statistical significance and the magnitude of autism-related effects. These findings demonstrate that the suboptimal use of the AQ10 cutoff can be consequential for research, and we discuss the urgent need to establish and apply appropriate autism screening cutoff values in the future.

Original languageEnglish
Pages (from-to)180-186
Number of pages7
JournalPsychological Assessment
Volume37
Issue number4
Early online date17 Feb 2025
DOIs
Publication statusPublished - 17 Feb 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s)

Funding

The authors have no conflicts of interest to declare. Lucy H. Waldren and Rachel A. Clutterbuck were supported by doctoral studentships from the Economic and Social Research Council. Lucy A. Livingston was supported by the Waterloo Foundation. Esther Walton is supported by the European Union\u2019s Horizon 2020 research and innovation programme (EarlyCause, Grant 848158).

FundersFunder number
Economic and Social Research Council
Waterloo Foundation
Horizon 2020 Framework Programme848158

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • 10-item Autism-Spectrum Quotient
  • autism
  • autistic traits
  • reproducibility
  • screening

ASJC Scopus subject areas

  • Clinical Psychology
  • Psychiatry and Mental health

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