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Heart rate increase predicts challenging behavior episodes in preschoolers with autism
Heather J Nuske1, Emma Finkel2, Darren Hedley3
1a Center for Mental Health, University of Pennsylvania , Philadelphia , PA, USA.
Insights
Heart rate increases can predict challenging behavior in young children with autism. Monitoring heart rate (HR) may offer new ways to support children with autism and prevent behavioral challenges.
Area of Science:
- Pediatric Psychology
- Autism Spectrum Disorder Research
- Behavioral Neuroscience
Background:
- Identifying triggers for challenging behaviors in children with autism is often hindered by communication limitations.
- Physiological stress indicators offer a potential avenue for understanding and predicting these behaviors.
- Previous research has not extensively explored the predictive utility of heart rate (HR) for challenging behaviors in this population.
Purpose of the Study:
- To investigate whether heart rate (HR) changes can predict the occurrence of challenging behaviors in young children diagnosed with autism spectrum disorder (ASD).
- To determine the temporal relationship between physiological stress responses (measured by HR) and the onset of challenging behaviors.
Main Methods:
- Forty-one children with autism (aged 2-4 years) wore electrocardiograph monitors during low-stress tasks.
- Challenging behaviors and concurrent physiological data were recorded.
- Heart rate (HR) was analyzed for increases preceding episodes of challenging behavior, comparing them to control time samples.
Main Results:
- A significant increase in heart rate (HR) was observed approximately 58 seconds before the onset of challenging behaviors (22% ± 16% increase from baseline).
- Peak HR change demonstrated moderate predictive utility for challenging behavior (AUC = 0.72, p < .001).
- The HR increase pattern was consistent across children with varying characteristics, including autism severity and language ability.
Conclusions:
- Elevated heart rate (HR) shows promise as a physiological predictor of challenging behaviors in preschoolers with autism.
- Further research with larger sample sizes is needed to validate these findings.
- Integrating HR monitoring, potentially via wearable biosensors, could be a valuable component of future autism interventions.
Abstract:
Identifying triggers for challenging behavior is difficult in some children with autism because of their limited communication abilities. Physiological indicators of stress may provide important insights. This study examined whether heart rate (HR) predicts challenging behavior in children with autism. While wearing an electrocardiograph monitor, 41 children with autism aged 2- to 4-years participated in tasks designed to induce low-level stress (e.g. waiting for a snack). Coders identified 106 time periods during which challenging behaviors occurred and also coded 106 randomly selected time samples that did not include challenging behaviors. Thirteen (32%) participants exhibited challenging behaviors and were included in the study. Baseline-corrected HR was computed for each behavior/time sample. On average, children with autism showed a 22 ± 16% HR increase from baseline 58 ± 22 seconds before the onset of a challenging behavior episode. Peak HR change had moderate predictive utility (area under the curve = .72, p < .001). The increase in HR before challenging behaviors was similar for children of different characteristics (age, autism severity, expressive language ability, overall developmental ability). Results highlight the promise of using physiological stress to predict challenging behavior in preschoolers with autism; although, they need to be replicated in larger samples. Given recent advances in wearable biosensing, it may be useful to incorporate HR monitoring in autism intervention. Lay summary In children with autism, changes in heart rate (HR) may help us predict when challenging behavior is about to occur - but this hypothesis has not been well studied. In this study, HR increase moderately predicted challenging behavior in preschoolers with autism. Given recent advances in wearable sensors, it may be useful to incorporate HR monitoring in autism intervention.
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