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Background: A range of sleep disturbances and disorders are problematic in people after stroke; they interfere with recovery of function during poststroke rehabilitation. However, studies to date have focused primarily on the effects of one sleep disorder-obstructive sleep apnea (OSA)-on stroke recovery.
Objectives: The study protocol for the SLEep Effects on Poststroke Rehabilitation (SLEEPR) Study is presented with aims of characterizing proportion of non-OSA sleep disorders in the first 90 days after stroke, evaluating the effect of non-OSA sleep disorders on poststroke recovery, and exploring the complex relationships between stroke, sleep, and recovery in the community setting.
Methods: SLEEPR is a prospective cohort observational study across multiple study sites following individuals from inpatient rehabilitation through 90 days poststroke, with three measurement time points (inpatient rehabilitation; i.e., ~15 days poststroke, 60 days poststroke, and 90 days poststroke). Measures of sleep, function, activity, cognition, emotion, disability, and participation will be obtained for 200 people without OSA at the study's start through self-report, capacity assessments, and performance measures. Key measures of sleep include wrist actigraphy, sleep diaries, overnight oximetry, and several sleep disorders screening questionnaires (Insomnia Severity Index, Cambridge-Hopkins Restless Legs Questionnaire, Epworth Sleepiness Scale, and Sleep Disorders Screening Checklist). Key measures of function and capacity include the 10-meter walk test, Stroke Impact Scale, Barthel index, and modified Rankin scale. Key performance measures include leg accelerometry (e.g., steps/day, sedentary time, upright time, and sit-to-stand transitions) and community trips via GPS data and activity logs.
Discussion: The results of this study will contribute to understanding the complex interplay between non-OSA sleep disorders and poststroke rehabilitation; they provide insight regarding barriers to participation in the community and return to normal activities after stroke. Such results could lead to strategies for developing new stroke recovery interventions.
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http://dx.doi.org/10.1097/NNR.0000000000000611 | DOI Listing |
J Neural Transm (Vienna)
September 2025
Parkinson's Foundation Centre of Excellence, King's College Hospital, Denmark Hill, London, SE5 9RS, UK.
Parkinson's disease patients are at increased risk of road traffic and car accidents and those with excessive daytime sleepiness are specially susceptible. Abnormal scores on the Epworth Sleepiness Scale predicts risk for driving-related somnolence which may cause road traffic accidents in driving patients as many such patients declare dozing of while in a car. Our study estimates that over 40% of patients with daytime somnolence have risks of dozing off in a car.
View Article and Find Full Text PDFMetab Syndr Relat Disord
September 2025
Yale School of Medicine, New Haven, Connecticut, USA.
Poor sleep has been identified as a strong risk factor for metabolic syndrome. Shift workers, who often experience reduced and misaligned sleep due to nighttime work schedules, are particularly susceptible to both sleep disturbances and metabolic syndrome. However, the interplay among shift work, sleep disturbances, and metabolic syndrome remains insufficiently explored.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
Department of Nursing, School of Health and Welfare, Jönköping University, Gjuterigatan 5, Jönköping, 553 18, Sweden, 46 036101000.
Background: An increased use of the internet and digital health care for patients with long-term conditions implies a need for assuring digital health literacy skills. Patients with restless legs syndrome (RLS) represent a group where digital sources of information are highly valued. This is due to a difficult diagnosis and complex treatment situation that contributes to patients seeking out digital resources themselves to handle the perceived shortcomings in their care.
View Article and Find Full Text PDFSleep Med
September 2025
Regional Epilepsy Center, Operative Unit of Childhood and Adolescent Neuropsychiatry, ASST Spedali Civili di Brescia, Brescia, Italy.
Background: Sleep disturbances are highly prevalent in children with neurodevelopmental disorders (NDD), yet few studies have combined objective and subjective measures. The objectives of this study were to evaluate sleep patterns and sleep hygiene in children with ADHD and ASD compared age-matched typically developing children, using both parent-reported questionnaires and actigraphy, to assess the concordance between these measures, and to determine the clinical applicability of actigraphy in this population.
Methods: Sixty children with NDD (30 ASD, 30 ADHD) and 40 typically developing controls, matched for age, underwent seven nights of actigraphic recording.
Sleep Med Rev
August 2025
West Australian Sleep Disorders Research Institute, Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, WA, Australia; Centre for Sleep Science, School of Human Sciences, The University of Western Australia, Perth, WA, Australia.
Study Objectives: This systematic review and meta-analysis assessed the efficacy of cannabinoids compared to placebo for improving sleep quality.
Methods: Searches were conducted in MEDLINE, Embase, and Cochrane databases for randomised controlled trials comparing cannabinoids vs. placebo for improving sleep quality in adults with or without insomnia or poor sleep.