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Accelerometer-derived sleep measures in idiopathic dystonia: A UK Biobank cohort study.


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.

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.

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.

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.

SUBMITTER: Bailey GA 

PROVIDER: S-EPMC10498055 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

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Publications

Accelerometer-derived sleep measures in idiopathic dystonia: A UK Biobank cohort study.

Bailey Grace A GA   Wadon Megan E ME   Komarzynski Sandra S   Matthews Clare C   Davies Elin Haf EH   Peall Kathryn J KJ  

Brain and behavior 20230807 9


<h4>Background</h4>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.<h4>Methods</h4>A total of 241 dystonia cases were compared to 964 matched controls in analysis of self-reported sleep symptoms and changes in sleep architecture u  ...[more]

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