Results 81 to 90 of about 15,659 (198)

Persistent Sleep Disturbance Following Pandemic Lockdowns: Longitudinal Findings From the UK COVID‐19 Symptom Study Biobank

Journal of Sleep Research, EarlyView.
ABSTRACT Sleep disturbance and fatigue were highly prevalent during the COVID‐19 pandemic, in both infected and non‐infected individuals, though mostly assessed cross‐sectionally. To assess these symptoms after lockdown cessation, we conducted a prospective longitudinal study in a large UK cohort.
Barbara Toson, Nathan J. Cheetham, Julia R. B. Brown, Carole H. Sudre, Simon Proctor, Vicky Bowyer, Nicholas R. Harvey, Desaline Joseph, COVID Symptom Study Biobank Consortium, Adam Birdseye, Claire J. Steves, Sutapa Mukherjee, Emma L. Duncan   +12 more
wiley   +1 more source

Risk factors of primary and secondary restless legs syndrome among a middle-aged population in Saudi Arabia: A community-based study

Annals of Thoracic Medicine, 2018
INTRODUCTION: Restless legs syndrome (RLS) is etiologically divided into primary and secondary syndromes. However, a comparative description of both types is lacking in the literature.
Samah Alsafadi, Bahaa Abaalkhail, Siraj Omar Wali, Khaled Aljammali, Bedor Alotaiby, Ibrahim Zakaria, Hanadi Sabbahi   +6 more
doaj   +1 more source

Phenotype Refinement Influences GWAS‐Implicated Variant Effect Sizes for Insomnia

Journal of Sleep Research, EarlyView.
ABSTRACT How phenotypes are measured, especially when relying on subjective reports, is an impediment to the utility of genome‐wide association studies (GWAS). This is a common problem in GWAS for sleep traits, as many sleep disturbances appear subjectively similar despite having distinct underlying pathophysiology.
Amber J. Zimmerman, Patrick Z. Liu, Brendan T. Keenan, Thomas G. Brooks, Struan F. A. Grant, Philip R. Gehrman, Ron C. Anafi, Allan I. Pack   +7 more
wiley   +1 more source

Insomnia Symptoms in a Swiss Population‐Based Cohort: Prevalence, Clinical Correlates and Polysomnographic Alterations

Journal of Sleep Research, EarlyView.
ABSTRACT This study assessed the prevalence, clinical correlates and polysomnographic features of insomnia symptoms in a population‐based cohort (HypnoLaus, Lausanne, Switzerland). Data were obtained from 3947 participants (mean age 57.5 ± 10.5 years; range 40–82; 52.0% female).
Isabel Ericson, Geoffroy Solelhac, Théo Imler, Kari Lambing, Magdy Younes, Pedro Marques‐Vidal, Peter Vollenweider, Marie‐Pierre Françoise Strippoli, Martin Preisig, Raphaël Heinzer, Nicola A. Marchi   +10 more
wiley   +1 more source

Diagnostic Value of Psychomotor Vigilance Task for Severe Sleep Inertia in Idiopathic Hypersomnia Versus Other Sleep Disorders Without Sleep Inertia

Journal of Sleep Research, EarlyView.
Diagnostic Value of PVT for Severe Sleep Inertia in Idiopathic Hypersomnia. ABSTRACT Sleep inertia impairs performance upon awakening and may be assessed using the psychomotor vigilance task (PVT). This study aimed to determine optimal PVT lapse cut‐offs at awakening to objectively measure sleep inertia by comparing patients with idiopathic hypersomnia
Elisa Evangelista, Alexandre Derré, Lucie Barateau, Anna Laura Rassu, Sofiene Chenini, Isabelle Jaussent, Yves Dauvilliers   +6 more
wiley   +1 more source

What Do Patient‐Reported Sleep Measures Assess? A Content Analysis

Journal of Sleep Research, EarlyView.
ABSTRACT Current systematic review analysed the content of generic patient‐reported sleep measures (PRSMs) using (1) the International Classification of Functioning, Disability and Health (ICF) and (2) semantic analysis. A literature search identified 27 PRSMs applicable across multiple sleep disorders.
Marie De Bruecker, Elke Veirman, An Mariman, Dirk A. Pevernagie, Katrien B. C. Hertegonne, Fré A. Bauters, Dimitri M. L. Van Ryckeghem, Geert Crombez   +7 more
wiley   +1 more source

Whole‐Night Gentle Rocking Improves Sleep in Poor Sleepers With Insomnia Complaints

Journal of Sleep Research, EarlyView.
ABSTRACT Specific brain oscillations can be manipulated during sleep to improve sleep quality and memory performance. We previously demonstrated that continuous rocking stimulation (0.25 Hz, lateral movement) applied to good sleepers during sleep enhanced stable deep sleep, boosted NREM oscillations (spindles and slow waves) and memory consolidation ...
Aurore A. Perrault, Nathan E. Cross, Thien Thanh Dang Vu, Sophie Schwartz, Laurence Bayer   +4 more
wiley   +1 more source

Actigraphy Meets AI: A Digital Biomarker for Parkinson's Disease and Isolated REM Sleep Behaviour Disorder

Journal of Sleep Research, EarlyView.
ABSTRACT Isolated rapid eye movement (REM) sleep behaviour disorder (RBD) is an early stage of alpha‐synucleinopathies, such as Parkinson's disease (PD). Actigraphy is a promising tool for assessing rest‐activity patterns, however its diagnostic or predictive value in these disorders is understudied.
Leonor Lopes, Jan D. Warncke, Irina Filchenko, Kuangyu Shi, Claudio L. A. Bassetti, Carolin Schäfer   +5 more
wiley   +1 more source

The Development of the European Sleep Questionnaire A New Patient‐Reported Outcome Measure

Journal of Sleep Research, EarlyView.
ABSTRACT Sleep medicine relies on patient‐reported outcome measures (PROMs) to complement clinical interviews and objective sleep tests. Available sleep questionnaires focus on isolated symptoms or single disorders, limiting their ability to capture the complexity of sleep conditions. Also, many PROMs remain poorly validated.
Dirk A. Pevernagie, Marie De Bruecker, Elke Veirman, Geert Crombez, Dimitri M. L. Van Ryckeghem, Katrien Hertegonne, Fré A. Bauters, Inger L. Abma, Erna Sif Arnardottir, Ludger Grote, Jan Hedner, Anna Sigridur. Islind, Kamilla Rún Jóhannsdóttir, Gert Jan Lammers, Walter T. McNicholas, Piet‐Heijn van Mechelen, Kristín Anna Ólafsdóttir, Sebastiaan Overeem, Dieter Riemann, Reijo Sund, An Mariman   +20 more
wiley   +1 more source

A Multimodal Machine Learning Model for Framingham Risk Score–Based Cardiovascular Risk Stratification in Patients With Obstructive Sleep Apnea

Journal of Sleep Research, EarlyView.
ABSTRACT Machine learning provides a powerful tool to capture complex, nonlinear patterns in biomedical data and enhance precision risk stratification. In this study, we applied a multilayer perceptron (MLP) framework to classify Framingham Risk Score–based cardiovascular risk categories in patients with obstructive sleep apnea (OSA).
Feng Zhao, Yin Li, Chenyang Li, Huajun Xu, Enhui Zhou, Weijun Huang, Huaming Zhu, Jian Guan, Hongliang Yi, Jianyin Zou, Nutan Chen   +10 more
wiley   +1 more source