Clinical predictors of excessive daytime sleepiness in patients with Parkinson’s disease

Bruno Terra Junho, Arthur Kummer, Francisco Cardoso, Antonio Lucio Teixeira, Natalia Pessoa Rocha

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Background and Purpose Excessive daytime sleepiness (EDS) is a common complaint among patients with Parkinson’s disease (PD). Several factors have been associated with EDS in PD, especially neuropsychiatric symptoms. This study aimed to determine the relationships between neuropsychiatric symptoms, sociodemographic and clinical parameters, and EDS in PD. Methods This cross-sectional study analyzed 85 patients with PD. All patients underwent socioeconomic and clinical data evaluations followed by a psychiatric interview and a neurological examination, including the assessment of sleep features. Patients were divided into two groups according to the presence or absence of EDS, which was defined as a score higher than 10 on the Epworth Sleepiness Scale. Binary logistic regression was performed in order to describe the predictors of EDS. Results We found that EDS affects 40% of PD patients and is associated with older age, restless legs syndrome, depressive and anxious symptoms, and worse sleep quality. In the multivariate analysis, older age, levodopa use, and worse sleep quality remained as significant predictors of EDS in PD. Conclusions Nighttime sleep problems, older age, and levodopa use are significantly associated with EDS in PD. A careful assessment and the management of sleep problems in PD patients might help to improve their quality of life.

Original languageEnglish (US)
Pages (from-to)530-536
Number of pages7
JournalJournal of Clinical Neurology (Korea)
Volume14
Issue number4
DOIs
StatePublished - Oct 2018
Externally publishedYes

Keywords

  • Anxiety
  • Depression
  • Excessive daytime sleepiness
  • Nonmotor symptoms
  • Parkinson’s disease

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

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