Search results for "LEEP"

Predisposing factors

2012

Introduction

2010

Cognitive behavioural therapy interventions for insomnia among shift workers: RCT in an occupational health setting

2019

Abstract Introduction The aim of the study was to compare the effectiveness of cognitive behavioural therapy interventions for insomnia (CBT-I) to that of a sleep hygiene intervention in a randomized controlled design among shift workers. We also studied whether the features of shift work disorder (SWD) affected the results. Methods A total of 83 shift workers with insomnia disorder were partially randomized into a group-based CBT-I, self-help CBT-I, or sleep hygiene control intervention. The outcomes were assessed before and after the interventions and at 6-month follow-up using questionnaires, a sleep diary, and actigraphy. Results Perceived severity of insomnia, sleep-related dysfunction…

Excessive Daytime Sleepiness in Obstructive Sleep Apnea Patients Treated With Continuous Positive Airway Pressure: Data From the European Sleep Apnea…

2021

Excessive daytime sleepiness (EDS) is a symptom of obstructive sleep apnea (OSA) that resolves under treatment with continuous positive airway pressure (CPAP). In some patients, sleepiness persists despite CPAP treatment. We retrospectively analyzed data on subjective residual EDS, assessed as an Epworth Sleepiness Scale score (ESS) >10, in patients from the European Sleep Apnea Database (n = 4,853, mean age +/- SD 54.8 +/- 11.8 years, 26.1% females), at baseline and at the first visit (median follow-up: 5 months, interquartile range 3-13). An ESS > 10 occurred in 56% of patients at baseline and in 28.2% of patients at follow-up. Residual EDS was analyzed in 2,190 patients (age: 55.1 +/- 12…

Accumulation of sleep loss among shift-working truck drivers

2021

Sleep loss is known to contribute to road traffic accidents. Professional drivers are vulnerable to curtailment of sleep due to long driving bouts and shift work. To fill in the gap in the literature related to the buildup of sleep loss in irregular shift systems, we recorded the sleep and working hours of 47 shift-working long-haul truck drivers during a two-week period. Sleep (time in bed) was verified by actigraphy and sleep logs. Sleepiness was measured using the Karolinska Sleepiness Scale (KSS). Individual sleep need was based on self-assessments. We examined the accumulated sleep versus self-reported sleep need across the study period, using midnights as points of observation, and th…

Miega higiēna pusaudžiem Latvijā

2018

Mērķis: Šī pētījuma mērķis ir izvērtēt miega higiēnas paradumus Latvijas pusaudžu vidū un analizēt faktorus, kas ietekmē jauniešu miega higiēnu. Izmantotās metodes: Piecās Latvijas skolās tika veikts iedzīvotāju šķērsgriezuma pētījums. Pusaudžiem tika lūgts aizpildīt anketu par miega higiēnas indeksu (SHI), un tā parametri tika novērtēti attiecībā uz svara procentīli, vecumu, dzimumu un miega kvalitātes pašnovērtējumu. Statistikā analīze tika veikta, izmantojot SPSS programmatūru ar būtiskuma slieksni p < 0.05. Lai pārbaudītu hipotēzes, tika veikts neatkarīgs izlases veida t-tests, dispersijas analīze ar Post-hoc testu, hī kvadrāta tests, Šapīro-Vilka tests un tika izmantots Pīrsona korelāc…

Alleviating Class Imbalance Problem in Automatic Sleep Stage Classification

2022

For real-world automatic sleep-stage classification tasks, various existing deep learning-based models are biased toward the majority with a high proportion. Because of the unique sleep structure, most of the current polysomnography (PSG) datasets suffer an inherent class imbalance problem (CIP), in which the number of each sleep stage is severely unequal. In this study, we first define the class imbalance factor (CIF) to describe the level of CIP quantitatively. Afterward, we propose two balancing methods to alleviate this problem from the dataset quantity and the relationship between the class distribution and the applied model, respectively. The first one is to employ the data augmentati…

Advanced performance monitoring for self-healing cellular mobile networks

2015

This dissertation is devoted to development and validation of advanced per- formance monitoring system for existing and future cellular mobile networks. Knowledge mining techniques are employed for analysis of user specific logs, collected with Minimization of Drive Tests (MDT) functionality. Ever increas- ing quality requirements, expansion of the mobile networks and their extend- ing heterogeneity, call for effective automatic means of performance monitoring. Nowadays, network operation is mostly controlled manually through aggregated key performance indicators and statistical profiles. These methods are are not able to fully address the dynamism and complexity of modern mobile networks. Se…

Automatic SCSB analysis of motor and autonomic nervous activity in infants compared to EEG-based sleep stages

2002

Pre-sleep arousal and sleep quality during the COVID-19 lockdown in Italy

2021

Abstract Objective The COVID-19 pandemic has strongly affected daily habits and psychological wellbeing, and many studies point to large modifications in several sleep and sleep-related domains. Nevertheless, pre-sleep arousal during the pandemic has been substantially overlooked. Since hyperarousal represents one of the main factors for the development and the perpetuation of chronic insomnia disorder, the assessment of variables associated with high levels of pre-sleep arousal during the pandemic is clinically relevant. The study aimed to assess the prevalence and predictors of perceived sleep quality and pre-sleep arousal in an Italian sample during the COVID-19 lockdown. Methods We used…