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Accelerometer‐derived sleep measures in idiopathic dystonia: A UK Biobank cohort study
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Megan E. Wadon,
Sandra Komarzynski,
Clare Matthews,
Elin Haf Davies,
Kathryn J. Peall
Brain and Behavior, Volume: 13, Issue: 9
Swansea University Author:
Grace Bailey
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DOI (Published version): 10.1002/brb3.2933
Abstract
BackgroundSleep disturbance is an increasingly recognized non-motor trait in dystonia, with varying findings reported to date. Here, we examine sleep in a UK Biobank derived dystonia cohort using subjective self-reported sleep symptoms and objective accelerometer-derived sleep measures, with compari...
| Published in: | Brain and Behavior |
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| ISSN: | 2162-3279 2162-3279 |
| Published: |
Wiley
2023
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa66531 |
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| Abstract: |
BackgroundSleep disturbance is an increasingly recognized non-motor trait in dystonia, with varying findings reported to date. Here, we examine sleep in a UK Biobank derived dystonia cohort using subjective self-reported sleep symptoms and objective accelerometer-derived sleep measures, with comparison to a control population.MethodsA total of 241 dystonia cases were compared to 964 matched controls in analysis of self-reported sleep symptoms and changes in sleep architecture using wrist-worn triaxial accelerometers.ResultsDystonia participants had poorer self-reported sleep patterns compared to controls. Accelerometery measurements demonstrated later sleep times, reduced time in bed, and shifts in circadian rhythm. No association was observed with pain, and only limited relationships with psychiatric symptoms.DiscussionThis study demonstrates the utility of accelerometers in longer term evaluation of sleep in dystonia, for measurement of disturbance and response to treatment. Compared to controls, altered sleep and circadian rhythm were more common in dystonia patients which may contribute to the clinical phenotype. |
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| Keywords: |
accelerometer, dystonia, sleep |
| College: |
Faculty of Medicine, Health and Life Sciences |
| Funders: |
The authors would like to thank the participants enrolled to the UKBiobank along with all the individuals involved in the conception ofthe UK Biobank, collecting the UK Biobank data, and compiling the UKBiobank database. We would also like to thank James TR Walters andSophie Smart from the MRC Centre for Neuropsychiatric Genetics andGenomics at Cardiff University for their help accessing the UK Biobankdata. GAB is funded by a KESS2, European Social Fund and CardiffUniversity PhD Studentship in partnership with Aparito Limited. MEWis funded by the Jacques and Gloria Gossweiler Foundation. KJP isfunded by an MRC Clinician-Scientist Fellowship (MR/P008593/1). |
| Issue: |
9 |