Sensory processing differences (SPDs) are common in children with autism, yet their specific contributions to behavioural problems remain insufficiently explored. To examine how SPDs relate to behavioural problems in children with autism and to identify key sensory predictors and sensory-based subtypes associated with behavioural risk.
Sensory processing differences are meaningful predictors of behavioral problems in autistic children, but this retrospective, modelling-based study is too preliminary to change clinical assessment protocols; audiologists should note the auditory sensory dimension but await prospective validation.
Understanding the sensory-behavioral link in autism could sharpen how audiologists screen and prioritize sensory interventions within multidisciplinary care teams.
- 01Retrospective design using statistical modelling and multi-output machine learning on autistic children.
- 02Sensory processing differences were significant predictors of behavioural problems.
- 03Auditory hypersensitivity is one dimension of sensory processing examined.
- 04Machine learning added predictive value beyond traditional statistical models.
- 05Published in BMJ Paediatrics Open (PMID 42097826).
Sensory processing differences significantly predict behavioural problems in autistic children.
studypartially supportedMulti-output machine learning outperforms standard statistical modelling in predicting behavioural outcomes in autism.
studyunclear- PMID
- 42097826
- DOI
- 10.1136/bmjpo-2025-004343.
- Journal
- BMJ Paediatrics Open
- Publication type
- research_article
- Evidence level
- 4
- Population
- Children with autism spectrum disorder
- Intervention
- Statistical modelling and multi-output machine learning analysis of sensory processing measures
Primary outcomes
Behavioural problem severity as predicted by sensory processing difference scores