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Published on: June 5, 2019
A wearable heart rate measurement device for children with autism spectrum disorder
Francesca Fioriello1, Andrea Maugeri1, Livio D'Alvia2
1Department of Human Neuroscience, Sapienza University of Rome, 00185, Rome, Italy.
Insights
Heart rate (HR) monitoring can reveal stress responses in children with Autism Spectrum Disorder (ASD). Increased HR during specific activities correlated with autistic symptoms, suggesting HR as a potential biomarker for stress in ASD.
Area of Science:
- Neurodevelopmental disorders
- Autonomic nervous system physiology
- Pediatric psychology
Background:
- Autism Spectrum Disorder (ASD) is a neurodevelopmental condition marked by social-communication deficits and autonomic nervous system imbalances.
- Children with ASD often exhibit atypical stress responses, necessitating objective measures.
- Heart rate (HR) variability is a sensitive indicator of autonomic function and stress.
Purpose of the Study:
- To investigate heart rate (HR) as a potential indicator of stress response in children with Autism Spectrum Disorder (ASD).
- To compare HR responses during standardized interactive activities between children with ASD and those with Language Disorder (LD).
- To explore the correlation between autistic symptoms and physiological stress markers.
Main Methods:
- Twenty-four children (12 ASD, 12 LD) underwent clinical assessments (Leiter-R, ADOS-2) and continuous HR monitoring during five interactive tasks.
- Participants wore an HR measurement device throughout the evaluation period.
- Statistical analyses, including correlation and linear regression, were used to analyze HR data in relation to clinical scores.
Main Results:
- Increased HR during ADOS-2 bubble play significantly correlated with autistic symptom severity (r=0.415, p=0.044).
- A linear regression model indicated that the Autism Diagnostic Observation Schedule, second edition (ADOS-2) total score significantly influenced HR variations (p=0.023).
- While other correlations did not reach statistical significance, trends suggested a relationship between HR and ASD severity during specific activities.
Conclusions:
- Heart rate (HR) monitoring shows promise as an objective measure to understand stress-provoking situations in children with ASD.
- HR variations may serve as a valuable biomarker for detecting the impact of stress on core autistic features.
- This approach could aid clinicians in tailoring treatment strategies for children with ASD by identifying specific stressors.
Abstract:
Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by early impairment in social and communication domains and autonomic nervous system unbalance. This study evaluated heart rate (HR) as a possible indicator of stress response in children with ASD as compared to children with language disorder (LD). Twenty-four patients [mean age = 42.62 months; SD = 8.14 months,12 with ASD (10 M/2F) and 12 with LD (8 M/4F)] underwent clinical [Leiter International Performance Scale-Revised, Autism Diagnostic Observation Schedule, second edition (ADOS-2)] and physiological evaluation (HR monitoring) during five interactive activities, while wearing an HR measurement device. IQ (ASD:IQ = 103.33 ± 12.85 vs. LD:IQ = 111.00 ± 8.88, p = 0.103) and fluid reasoning on the Leiter-R Scale were within the normal range in all subjects. Increased HR during the third activity (ADOS-2 bubble play) significantly correlated with autistic symptoms (r = 0.415; p = 0.044), while correlations between ADOS-2 total score and HR during the first activity (ADOS-2 free play; r = 0.368; p = 0.077), second activity (Leiter-R figure ground subscale; r = 0.373, p = 0.073), and fifth activity (ADOS-2 anticipation of a routine with objects; r = 0.368; p = 0.076) did not quite reach statistical significance. Applying a linear regression model, we found that the ADOS-2 total score significantly influenced HR variations (p = 0.023). HR monitoring may provide a better understanding of the stress-provoking situations for children with ASD. Furthermore, it could help clinicians detect the impact of the stressful condition on the autistic core and adress treatment strategy.
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