Objective: To characterize sleep-, circadian- and disease-related factors contributing to daytime sleepiness in a cohort of people with Parkinson’s Disease (PwPD).
Background: Excessive daytime sleepiness affects up to 80% of PwPD over the disease course. However, the underlying mechanisms contributing to this symptom remain poorly understood, and the individual variability in daytime sleepiness in PwPD is incompletely characterized.
Method: This observational study will recruit PwPD from a single center (University of Florida -Jacksonville). Participants will complete a series of questionnaires to assess circadian preference (Morningness Eveningness Questionnaire), sleep disturbances (Epworth Sleepiness Scale, Map Sleep Symptom Frequency Questionnaire, RBD1Q), and disease-related factors (Parkinson’s disease history questionnaire, Parkinson Anxiety Scale, Geriatric Depression Scale, Non-Motor Symptoms Questionnaire, MDS UPDRS). Additionally, participants will complete a symptom diary, general sleep, health and lifestyle questionnaires, and provide information on their physical activity and medications. Following completion of the questionnaires, participants will be mailed a wrist actigraphy device to wear for two weeks. Participants will repeat the questionnaires and actigraphy every 6 months for 2 years.
Results: Data will be analyzed to identify correlations between circadian preference, sleep quality, motor and non-motor symptoms, and daytime sleepiness. Next, we will use k-means clustering to identify cross-sectional patient subtypes, and latent class growth analysis to identify distinct longitudinal trajectories.
Conclusion: Understanding the interplay between sleep, circadian health, and Parkinson’s disease symptoms is crucial for identifying the mechanisms underlying excessive daytime sleepiness and other sleep disturbances in PwPD. By examining how sleep, circadian rhythm and disease-related factors interact with each other over time, this study aims to identify distinct patient subgroups that might ultimately benefit from targeted, individualized treatments.
To cite this abstract in AMA style:
J. Cohen. A Registry for Sleep and Circadian Health Quality in Parkinson’s Disease (ReSCQu-PD) [abstract]. Mov Disord. 2025; 40 (suppl 1). https://www.mdsabstracts.org/abstract/a-registry-for-sleep-and-circadian-health-quality-in-parkinsons-disease-rescqu-pd/. Accessed October 5, 2025.« Back to 2025 International Congress
MDS Abstracts - https://www.mdsabstracts.org/abstract/a-registry-for-sleep-and-circadian-health-quality-in-parkinsons-disease-rescqu-pd/