Sleep insufficiency and sleep disorders pose serious health challenges. This study aimed to determine the potential discrepancy between subjective and objective sleep assessments, including the latter made by physicians, by analyzing a 421-participant dataset in Japan comprising multiple nights of in-home sleep electroencephalogram (EEG) data and questionnaire responses on sleep habits or subjective experiences. We employed logistic regression models to examine which subjective and objective sleep parameters physicians are paying attention to when assessing sleep insufficiency, insomnia, sleep quality, and sleep apnea. Questionnaire responses, including subjective sleep assessments, exhibited poor performance predicting physicians' assessments, whereas objective data demonstrated good predictive performance, indicating a discrepancy between subjective and objective sleep assessments. Although the in-home sleep EEG measurements had minimal first night effects, incorporating measurements over multiple nights can improve the detection of objective insomnia. Moreover, we found that participants with severe sleep insufficiency overestimated their sleep duration, whereas those with subjective insomnia but without objective insomnia underestimated it. Additionally, subjective sleep quality reflected sleep efficiency but not the frequency of short awakenings or objective sleep depth. In particular, the effects of apnea on objective sleep quality were not subjectively perceived. Collectively, our findings suggest that subjective sleep assessments alone are insufficient for evaluating sleep health and that health checkups and advice based on sleep EEG measurements may be useful in improving sleep habits and for early detection of sleep disorders.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11761674 | PMC |
http://dx.doi.org/10.1073/pnas.2412895121 | DOI Listing |
Intensive Care Med
January 2025
Department of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China.
J Clin Sleep Med
January 2025
Division of Sleep Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Study Objectives: Evaluate the performance of the SANSA device to simultaneously assess obstructive sleep apnea (OSA) and cardiac arrhythmias.
Methods: Participants suspected or known to have OSA underwent polysomnography (PSG) while wearing SANSA. SANSA's algorithm was trained using 86 records and tested on 67 to evaluate training bias.
Gerontologist
January 2025
U.S. Department of Veterans Affairs National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT, USA.
Background And Objectives: Insomnia symptoms are more prevalent in older age and may be impacted by negative perceptions of aging; however, more research is needed. The present study characterizes the relationship between negative aging stereotypes and clinical insomnia symptoms in a nationally representative sample of older United States (U.S.
View Article and Find Full Text PDFArch Argent Pediatr
January 2025
Fundación Centro de Salud e Investigaciones Médicas (CESIM), Santa Rosa, Argentina.
Introduction. Sleep-disordered breathing (RBD), from habitual snoring to obstructive sleep apnea syndrome (OSAS), can influence brain functioning by affecting executive functions such as attention and inhibitory control. Objective.
View Article and Find Full Text PDFDisabil Rehabil
January 2025
Department of Rehabilitation Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Purpose: To explore associations of environmental and personal factors, participation, and health-related quality of life (HR-QoL) with physical behavior (PB) after subarachnoid hemorrhage (SAH).
Materials And Methods: PB, expressed in duration and distribution of physical activity (PA; walking, running, cycling) and sedentary behavior (SB; lying/sitting) and PA intensity was assessed with the Activ8 accelerometer during 7 days. Environmental and personal factors (social influence, health-condition, illness-perception, self-efficacy, fatigue, mood, kinesiophobia, cognition, coping, sleep), participation and HR-QoL, were assessed with validated questionnaires.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!