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 ( < 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 ( < 0.05). Additionally, EDS was positively correlated with UPDRS-I scores, Levodopa equivalent daily dose, PSQI, and BDI scores ( < 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.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1080/01616412.2024.2301878 | DOI Listing |
Res Child Adolesc Psychopathol
January 2025
Nutrition and Mental Health Research Group (NUTRISAM), Universitat Rovira I Virgili (URV), Carretera de Valls, S/N, 43007, Tarragona, Spain.
The aim of this study is to investigate the impact of using probiotics with strains related to dopamine and gamma-aminobutyric acid production on clinical features of autism spectrum disorder (ASD) and/or attention deficit/hyperactivity disorder (ADHD). This randomized, controlled trial involved 38 children with ADHD and 42 children with ASD, aged 5-16 years, who received probiotics (Lactiplantibacillus plantarum and Levilactobacillus brevis 109/cfu/daily) or placebo for 12 weeks. Parent-reported symptoms were assessed using Conners' 3rd-Ed and the Social Responsiveness Scale Test, 2nd-Ed (SRS-2), and children completed the Conners Continuous Performance Test, 3rd-Ed (CPT 3) or Conners Kiddie CPT, 2nd-Ed (K-CPT 2).
View Article and Find Full Text PDFWomens Health (Lond)
January 2025
Faculty of Health Sciences, Department of Physiotherapy, University of Granada, Granada, Spain.
Background: After breast cancer (BC), women may face other severe symptoms such as sleep problems. The use of simple, fast, and reliable scales is necessary in the clinic to improve patient benefits, and sleep is an important aspect to be addressed.
Objective: This study was conducted to adapt and validate the Spanish version of the satisfaction, alertness, timing, efficiency, and duration (SATED) scale for measuring sleep health in women who have completed treatment for BC in Spain (SATED-BC).
Sensors (Basel)
December 2024
GIKAFIT Research Group, University of the Basque Country (UPV/EHU), 01007 Vitoria-Gasteiz, Spain.
The main aim of the present study was to uncover multivariate relationships between sleep quantity and quality using principal component analysis (PCA) in professional female soccer players. A second aim was to examine the extent to which objective sleep quantity and quality variables can discriminate between perceived sleep. Ten objective sleep variables from the multisensory sleep-tracker were analyzed.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, CreativeLab Research Community, 5000-801 Vila Real, Portugal.
Artificial Intelligence (AI) is transforming the field of sports science by providing unprecedented insights and tools that enhance training, performance, and health management. This work examines how AI is advancing the role of sports scientists, particularly in team sports environments, by improving training load management, sports performance, and player well-being. It explores key dimensions such as load optimization, injury prevention and return-to-play, sports performance, talent identification and scouting, off-training behavior, sleep quality, and menstrual cycle management.
View Article and Find Full Text PDFSensors (Basel)
December 2024
College of Material Science and Technology, Beijing Forestry University, Beijing 100083, China.
Mattress firmness is a critical factor influencing sleep quality. This study investigates the effects of time, mattress firmness, and anthropometric parameters on surface electromyographic (sEMG) activity during supine rest. Eleven participants were analyzed, and the values for lower back sEMG on three mattresses were measured as 8.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!