Results 171 to 180 of about 40,241 (217)

How Mental Concepts Shape Sleep: Introducing the Mental Concept Reactivation Hypothesis of Sleep

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT Sleep problems affect a substantial proportion of individuals, and negative thoughts, rumination, and worry are considered key factors underlying persistence and severity. While extensive research has examined how these states disrupt sleep before falling asleep, much less is known about how mental concepts, including thoughts, expectations ...
Anna Zoé Wick, Björn Rasch
wiley   +1 more source

Estimation of Total Sleep Time From Respiratory Event Intervals in Sleep Disordered Breathing

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT The correct identification of respiratory events and estimation of total sleep time (TST), done in a sleep clinic with polysomnography (PSG), are central elements in the diagnostic process of sleep‐disordered breathing and in the quantification of its severity with the apnoea‐hypopnea index (AHI). However, total sleep time may not be available
Luca Cerina   +4 more
wiley   +1 more source

Sleep in Trans and Non‐Binary Individuals: A Question of Gender?

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT Sleep problems are increasingly prevalent in society. One group that is disproportionately affected includes transgender and non‐binary individuals, whose sex assigned at birth does not match their identified gender. This mismatch can lead to gender minority stress and increases the risk of mental disorders.
Lieve Thecla van Egmond   +3 more
wiley   +1 more source

The Relative Contributions of Arousal Presence and Arousal Intensity to Post‐Respiratory‐Event Ventilation in Obstructive Sleep Apnea

open access: yesJournal of Sleep Research, EarlyView.
In obstructive sleep apnea, the breathing after each obstructive event is affected by cortical arousal. Across two cohorts (N = 1781 and N = 67), arousal presence raised post‐event ventilation by 17–30%Eupnea, with each intensity step adding 1–4%Eupnea, independent of chemoreflex drive.
Junyan Zhang   +6 more
wiley   +1 more source

Sleep and mental illness: an umbrella review protocol. [PDF]

open access: yesBMJ Open
Norton MJ   +6 more
europepmc   +1 more source

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

open access: yesJournal 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   +10 more
wiley   +1 more source

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