| Title: | Accelerometer-derived sleep measures in idiopathic dystonia: A UK Biobank cohort study |
| Journal: | Brain and Behavior |
| Published: | 7 Aug 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37547976/ |
| DOI: | https://doi.org/10.1002/brb3.2933 |
| URL: | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/brb3.2933 |
Publication 7699
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Abstract
BACKGROUND: Sleep 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.</p>
METHODS: A 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.</p>
RESULTS: Dystonia 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.</p>
DISCUSSION: This 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.</p>
6 Authors
- Grace A Bailey
- Megan E. Wadon
- Sandra Komarzynski
- Clare Matthews
- Elin Haf Davies
- Kathryn J. Peall
1 Application
| Application ID | Title |
|---|---|
| 13310 | Impact of genetic and environmental associations on neuropsychiatric disorders and associated phenotypes |
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