Large-scale examination of early-age sex differences in neurotypical toddlers and those with autism spectrum disorder or other developmental conditions

Autism spectrum disorder (ASD) is clinically heterogeneous, with ongoing debates about phenotypic differences between boys and girls. Understanding these differences, particularly at the age of first symptom onset, is critical for advancing early detection, uncovering aetiological mechanisms and improving interventions. Leveraging the Get SET Early programme, we analysed a cohort of 2,618 toddlers (mean age: ~27 months) through cross-sectional, longitudinal and clustering analyses, performed using statistical and machine learning approaches, to assess sex differences in groups with ASD, developmental delay and typical development across standardized and experimental measures, including eye tracking. The results revealed no significant sex differences in toddlers with ASD across 17 of 18 measures, including symptom severity based on the Autism Diagnostic Observation Schedule, receptive and expressive language based on the Mullen Scales of Early Learning and social attention based on the GeoPref eye-tracking test. In contrast, girls with typical development outperformed boys on several measures. Subtyping analyses stratifying toddlers into low, medium and high clusters similarly showed virtually no sex differences in ASD. Overall, our findings suggest that phenotypic sex differences are minimal or non-existent in those with ASD at the time of first symptom onset.

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Publication Details

Journal
Nature Human Behaviour
Published
2025-05-26
DOI
https://doi.org/10.1038/s41562-025-02132-6
Citations
4
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
5.72

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article

Large-scale examination of early-age sex differences in neurotypical toddlers and those with autism spectrum disorder or other developmental conditions

Steven Arias, Charlene Andreason, Cynthia Carter Barnes, Ahtziry Esquivel et al.
4 citations
Nature Human Behaviour
Autism Spectrum Disorder Research
5.72
article

Large-scale examination of early-age sex differences in neurotypical toddlers and those with autism spectrum disorder or other developmental conditions

Steven Arias, Charlene Andreason, Cynthia Carter Barnes, Ahtziry Esquivel, Karen Pierce, Srinivasa Nalabolu, Javad Zahiri, Andrea Grzybowski, Sara Ramos‐Cabo, Eric Courchesne, Michael Lombardo, Sanaz Nazari, Linda Lopez
article en
4 citations

Abstract

Autism spectrum disorder (ASD) is clinically heterogeneous, with ongoing debates about phenotypic differences between boys and girls. Understanding these differences, particularly at the age of first symptom onset, is critical for advancing early detection, uncovering aetiological mechanisms and improving interventions. Leveraging the Get SET Early programme, we analysed a cohort of 2,618 toddlers (mean age: ~27 months) through cross-sectional, longitudinal and clustering analyses, performed using statistical and machine learning approaches, to assess sex differences in groups with ASD, developmental delay and typical development across standardized and experimental measures, including eye tracking. The results revealed no significant sex differences in toddlers with ASD across 17 of 18 measures, including symptom severity based on the Autism Diagnostic Observation Schedule, receptive and expressive language based on the Mullen Scales of Early Learning and social attention based on the GeoPref eye-tracking test. In contrast, girls with typical development outperformed boys on several measures. Subtyping analyses stratifying toddlers into low, medium and high clusters similarly showed virtually no sex differences in ASD. Overall, our findings suggest that phenotypic sex differences are minimal or non-existent in those with ASD at the time of first symptom onset.

Nature Human BehaviourVol. 9(8)
Autism Research Institute (US), Italian Institute of Technology (IT), University of California San Diego (US), Center for Neuroscience and Cognitive Systems (IT), Center for Autism and Related Disorders (US)
National Institutes of Health
Quality Education
Openalex Percentile: Top 4%
Autism Spectrum Disorder Research
5.72
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