Research questions:
1. Epidemiological Characteristics and Regional Variations among Parkinson’s Disease (PD) Patients with Sleep Disorders
2. Correlation Analysis Between PD-Related Sleep Disorders and Multifactorial Clinical Variables
3. Development of a PD-Related Sleep Disorder Risk Prediction Model Based on the UK Biobank Database
Objectives:
1. Quantifying the Epidemiological Burden of Sleep Disorders in PD Patients
2. Validating the Correlation Between PD-Related Sleep Disorders and Multifactorial Clinical Variables
3. Developing a Risk Prediction Model for PD Sleep Disorders
Scientific rationale:
Parkinson’s disease (PD) is the second most common neurodegenerative disorder, primarily characterized by the progressive loss of dopaminergic neurons in the substantia nigra of the midbrain. Research indicates that 40-98% of PD patients worldwide experience sleep disorders, which may serve as prodromal symptoms of PD. However, current epidemiological research on sleep disorders in PD patients remains insufficient. Furthermore, studies on PD-related sleep disorders have predominantly relied on scale-based assessments, lacking support from objective data. Therefore, systematically integrating data from the UK Biobank database, including proteomics, neuroimaging, and genomics, can enable the development of a genetically informed risk prediction model for PD-related sleep disorders. This combined approach, utilizing both subjective scales and objective data models, can elucidate the correlation between PD and sleep disorders, providing valuable clinical applications for the diagnosis and treatment of sleep disturbances in PD patients.
