Objective: To assess the feasibility of longitudinal data collection using actigraphy and questionnaires in a clinic-based PD population, characterize the variability of sleep and circadian measures over time, and identify clinically relevant sleep phenotypes that may inform future interventions and/or biomarker development.

Background: Sleep and circadian rhythm disorders are among the most prevalent non-motor symptoms in PD. Despite their clinical burden, the underlying mechanisms of sleep and circadian dysfunction in PD remains poorly understood, and effective treatment strategies are limited. Wrist-worn actigraphy offers an opportunity to complement self-report questionnaires to enable objective phenotyping of sleep and circadian health. To date, few prospective studies have measured circadian rhythm characteristics and sleep disturbances longitudinally in PD.

Method: ReSCQu-PD participants complete questionnaires (demographic, motor/non-motor symptoms, and sleep/circadian validated scales) and 2-week actigraphy with wrist temperature recordings yearly for at least 2 years. Since March 2025, 21 participants were recruited from UF Health neurology clinics. Descriptive statistics are calculated for all variables.

Results: The following represents baseline data at enrollment with averages calculated as mean with standard deviation unless otherwise stated. Average age is 69 +/-9; 71% male. UPDRS Part II had a mean score of 11.8 +/- 7.5 out of 52. Non-motor symptoms were common, with an average Non-Motor Symptoms Questionnaire score of 11+/- 4.9 out of 30. The mean Epworth Sleepiness Scale score was 8.6, in the high-normal range. Significant insomnia symptoms, as measured by the MAP Sleep Symptom Frequency Questionnaire, were endorsed by 62% of participants. Of the 15 participants who completed actigraphy data, the average total sleep time was 6.87 hours. The average number of awakenings was 16.7 times per night.

Conclusion: Baseline results demonstrate that longitudinal collection of questionnaires and actigraphy data in a PD population is feasible. Early data suggest that sleep disturbances and non-motor symptoms are common. This highlights the potential value of combining actigraphy with patient-reported outcomes to better characterize sleep and circadian phenotypes in PD. Continued follow-up will allow for assessment of temporal variability in these measures.

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MDS Abstracts - https://www.mdsabstracts.org/abstract/the-registry-for-sleep-and-circadian-health-quality-in-parkinsons-disease-rescqu-pd/