白天过度嗜睡
萧条(经济学)
帕金森病
医学
睡眠质量
睡眠(系统调用)
人口
疾病
物理疗法
精神科
心理学
物理医学与康复
睡眠障碍
失眠症
内科学
环境卫生
操作系统
经济
宏观经济学
计算机科学
作者
Esma Kobak Tur,Mehmet Demir,Gülay Kenangıl,Füsun Mayda Domaç
标识
DOI:10.1080/01616412.2024.2301878
摘要
Objectives Sleep disorders are frequently encountered non-motor symptoms that significantly impact the lifestyle quality of individuals with Parkinson’s disease (PD). Our research endeavors to research the sleep quality of PD patients and define the occurrence of excessive daytime sleepiness (EDS) and nocturnal difficulties within this population.Methods We incorporated 140 patients diagnosed with PD and 75 healthy individuals as controls. The modified Hoehn & Yahr Staging Scale (HYS) was employed for the clinical classification of PD stages, while the evaluation of clinical intensity utilized the Unified Parkinson’s Disease Rating Scale (UPDRS). The assessment of sleep quality utilized the Pittsburgh Sleep Quality Index (PSQI), along with the Parkinson’s Disease Sleep Scale (PDSS), and the Epworth Sleepiness Scale (ESS). Additionally, the subjective depression levels of attendees were assessed by the Beck Depression Inventory.Results In contrast to the healthy controls, the patient cohort demonstrated notably higher scores across the PSQI scale, ESS, and Beck Depression Scale (p < 0.05). Within the PD patient group, 66.4% exhibited poor sleep quality, and 17.1% reported excessive daytime sleepiness. A significant positive correlation was between poor sleep quality and factors such as H&Y stage, duration of levodopa exposure, scores on the ESS, and the BDI (p < 0.05). Additionally, EDS was positively correlated with UPDRS-I scores, Levodopa equivalent daily dose, PSQI, and BDI scores (p < 0.05).Discussion Addressing the specific etiology of sleep disorders in Parkinson’s patients has the potential to result in improved treatment outcomes and enhanced functionality in their daily lives.
科研通智能强力驱动
Strongly Powered by AbleSci AI