Abstract
BackgroundPeople with autism spectrum disorder (ASD) frequently experience high levels of anxiety. Despite this, many clinical settings do not provide specialist ASD mental health services, and demand for professional support frequently outstrips supply. Across many sectors of health, investigators have explored digital health solutions to mitigate demand and extend the reach of professional practice beyond traditional clinical settings.ObjectiveThis critical appraisal and pilot feasibility study examines heart rate variability (HRV) biofeedback as an approach to help young people with ASD to manage anxiety symptoms outside of formal settings. The aim is to explore the use of portable biofeedback devices to manage anxiety, while also highlighting the risks and benefits of this approach with this population.MethodsWe assessed the feasibility of using home-based HRV biofeedback for self-management of anxiety in young people with ASD. We adopted coproduction, involving people with ASD, to facilitate development of the study design. Next, a separate pilot with 20 participants with ASD (n=16, 80% male participants and n=4, 20% female participants, aged 13-24 years; IQ>70) assessed adoption and acceptability of HRV biofeedback devices for home use over a 12-week period. Data were collected from both carers and participants through questionnaires and interviews; participants also provided single-lead electrocardiogram recordings as well as daily reports through smartphone on adoption and use of their device.ResultsPre-post participant questionnaires indicated a significant reduction in anxiety in children (t6=2.55; P=.04; Cohen d=0.99) as well as adults (t7=3.95; P=.006; Cohen d=0.54). Participant age was significantly negatively correlated with all HRV variables at baseline, namely high-frequency heart rate variability (HF-HRV: P=.02), the root mean square of successive differences in normal heartbeat contractions (RMSSD: P=.02) and the variability of normal-to-normal interbeat intervals (SDNN: P=.04). At follow-up, only SDNN was significantly negatively correlated with age (P=.05). Levels of ASD symptoms were positively correlated with heart rate both before (P=.04) and after the intervention (P=.01). The majority (311/474, 65.6%) of reports from participants indicated that the devices helped when used. Difficulties with the use of some devices and problems with home testing of HRV were noted. These initial findings are discussed within the context of the strengths and challenges of remotely delivering a biofeedback intervention for people with ASD.ConclusionsHRV biofeedback devices have shown promise in this pilot study. There is now a need for larger evaluation of biofeedback to determine which delivery methods achieve the greatest effect for people with ASD.Trial registrationClinicalTrials.gov NCT04955093; https://clinicaltrials.gov/ct2/show/NCT04955093.
| Original language | English |
|---|---|
| Article number | e37994 |
| Number of pages | 17 |
| Journal | JMIR Formative Research |
| Volume | 6 |
| Issue number | 8 |
| Early online date | 30 Jun 2022 |
| DOIs | |
| Publication status | Published (in print/issue) - 26 Aug 2022 |
Bibliographical note
Funding Information:HC was supported by a Health & Social Care Doctoral Fellowship (2013-2018) from the R&D Division of the Public Health Agency, Northern Ireland, United Kingdom.
Publisher Copyright:
© JMIR Form Res 2022. All rights reserved.
Funding
Funding Information: HC was supported by a Health & Social Care Doctoral Fellowship (2013-2018) from the R&D Division of the Public Health Agency, Northern Ireland, United Kingdom. Publisher Copyright: © JMIR Form Res 2022. All rights reserved.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Autism
- Anxiety
- Biofeedback
- Remote Intervention
- mobile phone
Fingerprint
Dive into the research topics of 'Heart Rate Variability Biofeedback to Treat Anxiety in Young People With Autism Spectrum Disorder: Findings From a Home-Based Pilot Study'. Together they form a unique fingerprint.Research output
- 10 Citations
- 1 Conference contribution
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Exploring the use of heart rate variability biofeedback
Coulter, H., Breen, C. J., Donnelly, M. & Kernohan, G., 1 Apr 2015, Unknown Host Publication. John Wiley & Sons, Inc., 1 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Student theses
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Heart rate variability biofeedback: an investigation into its adoption and benefit in people with autistic spectrum disorder
Coulter, H. (Author), Kernohan, W. G. (Supervisor) & Donnelly, M. (Supervisor), Dec 2018Student thesis: Doctoral Thesis
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