ArticleFrontiers in aging neuroscience2025
Factors associated with sleep disorders in elderly patients with Parkinson's disease and cognitive impairment and the nomogram model development.
Article in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Association of low sleep efficiency and carotid plaque with cognitive impairment in older adults with chronic diseases: A retrospective cross-sectional study.The Journal of international medical research · 2026Article
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Abstract
Background: Sleep disorders are a common complication in elderly patients with Parkinson's disease and cognitive impairment. This retrospective cohort study investigates the factors associated with sleep disorders in elderly patients with Parkinson's disease and cognitive impairment and proposes a framework for a future comprehensive relaxation training intervention based on the identified factors, to inform subsequent clinical studies. Methods: A retrospective study was conducted on 108 elderly patients with Parkinson's disease and cognitive impairment who visited the outpatient department of our hospital from January 2021 to December 2024. All patient data were obtained from the electronic medical record system. Patients were divided into a sleep disorder group ( Results: There were statistically significant differences between the sleep disorder group and the non-sleep disorder group in terms of Hoehn-Yahr staging, equivalent dose of levodopa, Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), and chronic pain ( Conclusion: There are numerous factors associated with sleep disorders in elderly patients with Parkinson's disease and cognitive impairment, primarily including Hoehn-Yahr staging, equivalent dose of levodopa, HAMA, HAMD, and chronic pain. The risk prediction nomogram model constructed based on these factors has certain predictive value for the occurrence of sleep disorders, can assist in the early screening of high-risk populations in clinical practice, and provides a basis for developing corresponding relaxation training interventions to reduce the occurrence of sleep disorders.
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