Levels Of Sleepiness Research Articles

Predicting Drowsy Driver Break Taking During Long Drives.

The current study investigated the factors that predict drowsy drivers' decisions regarding whether to take breaks versus continue driving during long simulator drives. Driver drowsiness contributes to substantial numbers of motor vehicle crashes, injuries, and deaths. Previous research has shown that taking a nap and consuming caffeine can temporarily mitigate drowsiness and enable continued safe driving. Ninety drivers completed a 150-mile highway drive in a driving simulator after a day of partial sleep restriction. Drivers passed several simulated rest areas where they could take breaks. To replicate drivers' motivation to reach their destination safely but also quickly, drivers were told that they would be paid more for completing the simulated drive faster but would forfeit their payment if they crashed. Break taking was predicted by drivers' self-ratings of drowsiness and by the severity of lane departures. However, even at the highest levels of drowsiness, most drivers bypassed simulated rest areas without stopping. In comparing self-rated drowsiness to drowsiness measured by eye closures, drivers often under- and over-estimate their own level of drowsiness. Drowsy drivers use their own self-assessed drowsiness when deciding whether to take breaks. These self-assessments are often incorrect, and even when drivers rate themselves as severely drowsy they are unlikely to stop to rest during long drives. The findings reveal the need for effective drowsy driving countermeasures to motivate drivers to stop to take breaks. Results underscore the need to educate and/or motivate drivers to respond sooner to warning signs of drowsiness.

Insomnia symptoms in children and adolescents: screening for sleep problems with the two-item Sleep Condition Indicator (SCI-02)

BackgroundSleep problems are common in young people. Yet brief screening measures to identify those most in need of an intervention are lacking. This study investigated the potential of the two-item Sleep Condition Indicator (SCI-02) for screening insomnia symptoms in children and adolescents. We sought to establish whether there are distinct subgroups with different sleep profiles and whether subgroup membership varied with gender and school year group.MethodsStudents (school years 5–13; typical age 9–18 years) in England completed the OxWell Student Survey in 2021. Sleep measures included: SCI-02, sleep onset latency (SOL), sleep duration, daytime sleepiness, and worry disrupting sleep. Latent profile analysis and multinomial logistic regression explored sleep profiles and predicted class membership.ResultsIn total, 29,304 participants answered sleep items. Of these, 95% provided binary gender (n = 27,802, 55% female) for analyses. Five sleep profiles emerged. The profiles, labelled “good”, “moderate”, or “poor” sleepers, vary by sleep quality – which includes time taken to fall asleep (SOL), amount of sleep (sleep duration), and the disruption of sleep due to worry. The profiles are then further differentiated by high levels of daytime sleepiness – labelled “sleepy”. “Good Sleepers” (18,355, 66%), “Moderate Sleepers” (4825, 17.4%), “Moderate Sleepy Sleepers” (1250, 4.5%), “Poor Sleepers” (1037, 3.7%) and “Poor Sleepy Sleepers” (2335, 8.4%). Probable insomnia rates (SCI-02 ≤ 2) were high in both poor sleeper profiles (70–80%) compared with other profiles (0%) and the sample overall (9%). Compared with “Good Sleepers”, all other profiles were mostly female. Daytime sleepiness – the defining characteristic of the sleepy sleeper profiles – was more common in secondary school participants than primary school.ConclusionsThe SCI-02 is an efficient, two-question measure to screen for potential sleep problems in young people. Sleep disruption was high: one in ten were experiencing poor sleep. Females and adolescents appeared more vulnerable to poor sleep and daytime sleepiness. The SCI-02 has the potential for use in school and community contexts to identify children and adolescents who may benefit from support managing their sleep.

A novel deep learning‐based technique for driver drowsiness detection

AbstractEvery year, many people lose their lives because of road accidents. It is evident from statistics that drowsiness is one of the main causes of a large number of car accidents. In our research, we wish to solve this major problem by measuring the drowsiness level of the human brain while driving. The study aims to develop a novel technique to detect different alertness levels (i.e., awake, moderately drowsy, and maximally drowsy) of a person while driving. A hybrid model using a stacked autoencoder and hyperbolic tangent Long Short‐Term Memory (TLSTM) network with attention mechanism is designed for this purpose. The designed model uses different biopotential signals, such as electroencephalography (EEG), facial electromyography (EMG), and different biomarkers, such as pulse rate, respiration rate galvanic skin response, and head movement to detect a person's alertness level. Here, the stacked autoencoder model is used for automated feature extraction. TLSTM is used to predict a person's alertness level using stacked autoencoder network‐extracted features. The proposed model can classify awake, moderately drowsy, and maximally drowsy states of a person with accuracies of 99%, 98.3%, and 98.6%, respectively. The novel contributions of the paper includes (i) incorporation of an attention mechanism into the TLSTM network of the proposed hybrid model to focus on the emphatic states to enhance classification accuracy, and (ii) utilization of EEG, facial EMG, pulse rate, respiration rate, galvanic skin reaction, and head movement pattern to assess a person's alertness level.

Sleepiness may predict hypnotizability, while personality traits do not

ABSTRACT Sleepiness and personality traits have been controversially reported as associated to individual hypnotizability level i.e. receptiveness to hypnotic suggestions and behave accordingly. In this study, we further investigate the relationship between the level of general daytime sleepiness and personality traits with the level of hypnotizability. Seventy-eight healthy young volunteers (34 women) completed the fast assessment of general daytime sleepiness and personality with the Epworth Sleepiness Scale and the 10-item Big Five Inventory respectively, and underwent hypnotic evaluation through the Harvard Group Scale of Hypnotic Susceptibility Form A (HGSHS:A). Main findings revealed a correlation between sleepiness and hypnotizability levels, and no influence of personality traits. Interestingly, women exhibited higher levels of hypnotizability compared to men. Taken together, these results suggest that sleepiness assessment might be considered as a predictive tool to hypnotic suggestions, which would offer practical insight for enhancing hypnosis intervention efficacy.

How to quantify sleepiness during an attempt to sleep?

Background. Sleepiness assessment tools were mostly developed for detection of an elevated sleepiness level in the condition of sleep deprivation and several medical conditions. However, sleepiness occurs in various other conditions including the transition from wakefulness to sleep during an everyday attempt to get sleep.Objective. We examined whether objective sleepiness indexes can be implicated in detection of fluctuations in sleepiness level during the polysomnographically-monitored attempt to sleep, i.e. in the absence of self-reports on perceived sleepiness level throughout such an attempt.Approach. The polysomnographic signals were recorded in the afternoon throughout 106 90 min napping attempts of 53 university students (28 females). To calculate two objective sleepiness indexes, the electroencephalographic (EEG) spectra were averaged on 30 s epochs of each record, assigned to one of 5 sleep-wake stages, and scored using either the frequency weighting curve for sleepiness substate of wake state or loadings of each frequency on the 2nd principal component of variation in the EEG spectrum (either sleepiness score or PC2 score, respectively).Main results. We showed that statistically significant fluctuations in these two objective sleepiness indexes during epochs assigned to wake stage can be described in terms of the changes in verbally anchored levels of subjective sleepiness assessed by scoring on the 9-step Karolinska Sleepiness Scale.Significance. The results afford new opportunities to elaborate importance of intermediate substates between wake and sleep states for sleep-wake dynamics in healthy individuals and patients with disturbed sleep.

Human fatigue in the aircraft maintenance environment

The complexity of technologies in modern aircraft makes their maintenance a critical function. The work environment is diverse and dynamic, with uninterrupted working hours and multiple demands, which can result in inadequate sleep and excessive workload for Aircraft Maintenance Technicians. This causes fatigue and increases the likelihood of human errors, directly affecting safety. A study was conducted with 312 participants to investigate how fatigue affects maintenance professionals. Participants responded to questionnaires that included four culturally validated scales to measure levels of fatigue, sleepiness, workload, and quality of life. Statistical analyses were performed to correlate sociodemographic factors and work-related aspects with levels of fatigue. The results revealed a positive and significant correlation between fatigue, sleepiness, and workload, and a significant negative correlation with quality of life. It was found that 52.9% of participants experienced some level of fatigue, highlighting the prevalence of fatigue among the sampled population. Statistically significant differences were also found in participants aged 36 to 50, those working shifts, and those working during nighttime hours. Therefore, regulations and practical measures are needed to assess and manage fatigue-related risks, tailored to the aircraft maintenance environment, given that current regulations on human fatigue in aviation primarily focus on flight crew, paving the way for potential changes in the European Aviation Safety Agency regulations.

Impact of carbon dioxide exposures on sleep latency among healthy volunteers: A randomized order, paired crossover study, evidence from the multiple sleep latency test

BackgroundDaytime sleepiness affects work efficiency, occupational safety, and public health. Although previous studies have reported an association between environmental carbon dioxide (eCO2) and daytime sleepiness, it has been challenging to draw a firm conclusion due to the lack of standardized sampling and profiling protocols. ObjectiveWe examined the effect of pure CO2 exposure at 5000 (ppm, parts per million) on daytime sleepiness. MethodsEleven healthy participants (males of 24 ± 3 years, mean ± SD) completed a four-nap multiple sleep latency test (MSLT) protocol in the environmentally controlled chamber under two conditions: the CO2 condition (4851 ± 229 ppm) and the Control condition (1102 ± 204 ppm). The subjective sleepiness level and cognitive performances were also evaluated using the Stanford Sleepiness Scale (SSS) questionnaire, Psychomotor Vigilance Test (PVT), and Stroop test after each nap session. ResultsA significant reduction in sleep latency was observed in the CO2 exposure condition (Control vs. CO2 = 13.1 ± 3.3 min vs. 9.7 ± 3.2 min). The subjective sleepiness scores were also significantly higher in the CO2 exposure condition than in the Control condition (Control vs. CO2 = 2.7 ± 0.5 vs. 4.7 ± 0.8). Cognitive responses after naps showed no significant difference across conditions. ConclusionThis study revealed that exposure to environmental CO2 at a concentration as high as the upper safety limit at work sites significantly shortened the sleep latency and enhanced subjective sleepiness during naps in the MSLT without affecting cognitive responses after each exposure. Our results demonstrated that exposure to high environmental CO2 induces daytime sleepiness that potentially compromises work efficiency and safety.

Examination of Coaches’ Daytime Sleepiness Levels in Terms of Gender, Physical Activity Level and Waist Circumference

Introduction and Aim: The aim of this study is to examine coaches’ daytime sleepiness levels in terms of gender, physical activity level and some anthropometric variables. Materials and Methods: Participants in the study were 330 coaches, 173 of whom were women, working in the branches of basketball, boxing, fitness, football, karate, kickboxing, taekwondo and volleyball in the Bağcılar district of Istanbul. The participants’ daytime sleepiness levels were determined with the Epworth Sleepiness Scale, whose Turkish validity and reliability study was conducted by İzci et al. (2008), while their physical activity levels were determined with the International Physical Activity Questionnaire (IPAQ) short form, whose Turkish validity and reliability study was performed by Öztürk (2005). The participants’ anthropometric characteristics (body weight, height and waist circumference) were assessed on a self-report basis. Findings: Female coaches’ scores on the Epworth Sleepiness Scale were higher than those of male coaches (p < 0.05). In terms of physical activity level, male coaches’ IPAQ scores were higher than those of female coaches (p = 0.00). Waist circumferences and body mass indices (BMI) of male coaches were higher than those of female coaches (p = 0.00). No correlation was found between daytime sleepiness level and BMI (r = .066) or waist circumference (r = -.050) (p > 0.05). A significant negative correlation was found between physical activity level and daytime sleepiness level (r = -113, p < 0.05). Conclusion: The detection of a significant negative correlation between physical activity level and daytime sleepiness level indicates that physical activity is important for sleep health, which is similar to the literature. However, the fact that the study participants were young makes it difficult to explain the relationships between physical activity, gender, daytime sleepiness level and body composition. Repeating the study with middle-aged adults and older adults may produce different results

The Impact of Lunch Timing on Nap Quality.

Previous research has established that food intake is a biological regulator of the human sleep-wake cycle. As such, the timing of eating relative to sleep may influence the quality of sleep, including daytime naps. Here, we examine whether the timing of lunch (1 h vs. 2 h interval between lunch and a napping opportunity) impacts the quality of an afternoon nap. Using a randomized within-subject design over two separate experimental sessions (7 days apart), participants (n = 40, mean age = 25.8 years) consumed lunch 1 h and 2 h prior to an afternoon nap opportunity. Polysomnography and subjective self-reports were used to assess sleep architecture, sleepiness levels, and nap quality. Results revealed no significant differences in subjective ratings of sleep quality and sleepiness, or in sleep architecture (total sleep time, sleep efficiency, sleep onset latency, sleep stages) between the 1 h and 2-h lunch conditions. All sleep measures were similar when napping followed eating by either 1 h or 2 h, suggesting that eating closer to nap onset may not negatively impact sleep architecture and quality. Future research should continue to identify conditions that improve nap quality, given the well-documented benefits of naps to reduce sleep pressure and improve human performance.

Altered brain perfusion and oxygen levels relate to sleepiness and attention in post-COVID syndrome.

Persisting neurological symptoms after COVID-19 affect up to 10% of patients and can manifest in fatigue and cognitive complaints. Based on recent evidence, we evaluated whether cerebral hemodynamic changes contribute to post-COVID syndrome (PCS). Using resting-state functional magnetic resonance imaging, we investigated brain perfusion and oxygen level estimates in 47 patients (44.4 ± 11.6 years; F:M = 38:9) and 47 individually matched healthy control participants. Group differences were calculated using two-sample t-tests. Multivariable linear regression was used for associations of each regional perfusion and oxygen level measure with cognition and sleepiness measures. Exploratory hazard ratios were calculated for each brain metric with clinical measures. Patients presented with high levels of fatigue (79%) and daytime sleepiness (45%). We found widespread decreased brain oxygen levels, most evident in the white matter (false discovery rate adjusted-p-value (p-FDR) = 0.038) and cortical grey matter (p-FDR = 0.015). Brain perfusion did not differ between patients and healthy participants. However, delayed patient caudate nucleus perfusion was associated with better executive function (p-FDR = 0.008). Delayed perfusion in the cortical grey matter and hippocampus were associated with a reduced risk of daytime sleepiness (hazard ratio (HR) = 0.07, p = 0.037 and HR = 0.06, p = 0.034). Decreased putamen oxygen levels were associated with a reduced risk of poor cognitive outcome (HR = 0.22, p = 0.019). Meanwhile, lower thalamic oxygen levels were associated with a higher risk of cognitive fatigue (HR = 6.29, p = 0.017). Our findings of lower regional brain blood oxygen levels suggest increased cerebral metabolism in PCS, which potentially holds a compensatory function. These hemodynamic changes were related to symptom severity, possibly representing metabolic adaptations.

Effect of serial night shifts on the cognitive, psychomotor, and moral performance of residents in the department of Emergency Medicine.

The objective was to study the effect of serial night shifts on the cognitive, psychomotor, and moral performance of emergency medicine residents of an academic Emergency Medicine Department. This prospective case-crossover study compared emergency medicine residents' sleep time, subjective sleepiness, cognitive function, moral judgment, and psychomotor skills after 5 consecutive days versus night shifts using sleep diaries, activity monitors, and multiple performance tests. Paired t-tests and Wilcoxon signed-rank tests were used to analyze data based on normality. Correlation analysis was done using Spearman's correlation test. Subgroup analysis was also performed to find any difference based on gender and year of residency. Twenty-seven emergency medicine residents participated (13 males, 48.1%). The distribution across residency years was as follows: 44.4% in their first year, 25.9% in their second year, and 29.6% in their third year. Following five consecutive night shifts, total sleep duration decreased significantly from 338.1 ± 67.8 to 307.4 ± 71.0 min (p < 0.001), while subjective sleepiness scores increased from 9.6 ± 3.3 to 13.6 ± 4.6. Psychomotor performance and reaction times did not significantly differ between night and day shifts. However, working memory declined, assessed by self-paced three-back test scores (median [IQR] 517.1 [471.9-546.7] vs. 457.6 [334.4-508.8]; p = 0.034) and interference test scores (445.5 ± 59.9 vs. 407.2 ± 56.8; p < 0.001), along with moral judgment (median [IQR] 19 [18-28] vs. 15 [11-21]; p = 0.010) after serial night shifts. No correlations existed between performance measures nor differences based on gender or residency year. Residents sleep less following night versus day shifts, reporting the highest sleepiness levels after 5 consecutive nights. Despite this, psychomotor performance and reaction times did not significantly differ. However, considerable reductions occurred in moral judgment, working memory, and interference test performance after serial night shifts.

Assessment of the importance of sleep quality and the effects of deprivation on Sudanese healthcare professionals amidst conflict in Sudan

BackgroundQuality sleep is vital for well-being, especially for healthcare workers facing high risks of fatigue and burnout. Sleep deprivation impairs cognitive and motor functions, contributing to medical errors. Addressing sleep disorders among healthcare professionals is crucial for enhancing patient care. Tailored interventions are needed to support their well-being and improve healthcare outcomes.ObjectiveTo evaluate the effect of Sleep Quality and its Deprivation on Sudanese Healthcare Professionals amidst conflict in Sudan.MethodsA cross-sectional online survey of Sudanese doctors was conducted using convenience sampling. The questionnaire covered sleep quality, daytime sleepiness, and psychological well-being. Pilot testing ensured questionnaire clarity. Data collection utilized Google Forms distributed through social media and professional networks. A minimum sample size of 384 was calculated. Statistical analysis included descriptive statistics and various tests for significance. Data were securely stored and analyzed using SPSS and R software.ResultsAmong 649 participants, 404 (62.2%) were women, with a mean age of 30.34 years. Most were single (434, 66.9%). General practitioners constituted the largest professional group (267, 41.1%), followed by registrars/residents (142, 21.9%). Participants took an average of 43.70 minutes to fall asleep and slept an average of 5.90 hours per night. According to the PSQI, 300 (46.2%) reported mild sleep disturbance, 287 (44.2%) moderate, 42 (6.5%) severe, and only 20 (3.1%) normal sleep. The ESS revealed 285 (43.9%) with lower normal daytime sleepiness, 188 (29.0%) with higher normal, and various levels of excessive daytime sleepiness. Stress levels varied, with 398 (61.3%) reporting normal stress, while anxiety ranged from 248 (38.2%) normal to 148 (22.8%) extremely severe.ConclusionThis study emphasizes the importance of addressing sleep quality, mental health, and performance challenges among Sudanese healthcare professionals. It highlights the need for hospitals to implement measures enabling more time off, adequate sleep, and reduced on-call service days. Healthcare workers must recognize the significance of these factors for their well-being and patient care quality. The research outcomes can raise awareness about the necessity of regulating healthcare practitioners' working hours and ensuring adequate sleep.

Fatigue in patients with hypothalamic syndrome – A cross-sectional analysis of the German childhood-onset craniopharyngioma cohort

ObjectivePatients with suprasellar tumors are at risk for hypothalamic syndrome (HS), including fatigue and excessive daytime sleepiness. The aim of this cross-sectional study was to determine the severity of fatigue in patients with and without HS. MethodsPatients diagnosed with CP or pilocytic astrocytoma were recruited from the KRANIOPHARYNGEOM studies. Eligibility criteria were availability of one completed Multidimensional Fatigue Inventory-20 (MFI-20) questionnaire and complete medical records on criteria for HS. The associations between HS and levels of fatigue symptoms (MFI-20 sum score) were assessed. MFI-20 scores were compared to sex- and age-matched reference values from a German normative population. ResultsData on 41 patients, with a median age of 22 years, were available for analyses of which 25 (61 %) patients presented with HS. After adjustment for age and sex, patients with HS reported higher scores in the physical (β= 3.39 [95 %-CI:1.18–5.60]) and sum MFI-20 (β=11.42 [95 %-CI:2.06–20.79]) domain than patients without HS. Compared to reference values, all patients reported higher mean scores in each fatigue domain. Abnormal self-reported daytime sleepiness was reported in 6 of 25 (24 %) patients with HS. Regardless of the level of daytime sleepiness in patients with HS, the reported fatigue scores were high. Daytime sleepiness did not correlate with fatigue. ConclusionsFatigue symptoms are present in patients with CP. However, patients with HS are more affected with physical and overall fatigue. It is crucial in clinical practice, to distinguish between daytime sleepiness and fatigue and to target patients with HS.

Quick returns, sleep, sleepiness and stress - An intra-individual field study on objective sleep and diary data.

Quick returns (<11 hours of rest between shifts) have been associated with shortened sleep length and increased sleepiness, but previous efforts have failed to find effects on sleep quality or stress. A shortcoming of most previous research has been the reliance on subjective measures of sleep. The aim of this study was to combine diary and actigraphy data to investigate intra-individual differences in sleep length, sleep quality, sleepiness, and stress during quick returns compared to day-day transitions. Of 225 nurses and assistant nurses who wore actigraphy wristbands and kept a diary of work and sleep for seven days, a subsample of 90 individuals with one observation of both a quick return and a control condition (day-day transition) was extracted. Sleep quality was assessed with actigraphy data on sleep fragmentation and subjective ratings of perceived sleep quality. Stress and sleepiness levels were rated every third hour throughout the day. Shifts were identified from self-reported working hours. Data was analyzed in multilevel models. Quick returns were associated with 1 hour shorter sleep length [95% confidence interval (CI) -1.23- -0.81], reduced subjective sleep quality (-0.49, 95% CI -0.69- -0.31), increased anxiety at bedtime (-0.38, 95% CI -0.69- -0.08) and increased worktime sleepiness (0.45, 95%CI 0.22- 0.71), compared to day-day transitions. Sleep fragmentation and stress ratings did not differ between conditions. The findings of impaired sleep and increased sleepiness highlight the need for caution when scheduling shift combinations with quick returns.

Impact of Fatigue, Sleep Quality, and Drowsiness on Medical Laboratory Technologists’ Alertness During Night Shift

Medical Laboratory Technologists (MLTs) often work in shifts, with night shifts being much longer than morning or day shifts. As a result, many MLTs are exposed to high levels of fatigue, sleep problems, and drowsiness, while MLTs are always required to be alert for emergency analysis. This research aims to determine the impact of fatigue, sleep quality, and drowsiness on decreased alertness of MTLs working night shifts. Additionally, it describes the fatigue, sleep quality, drowsiness, and decreased alertness of MLTs. The method of analysis used was multiple linear regression. The research found that most MLTs working night shifts suffer from high fatigue levels, poor sleep quality, drowsiness, and decreased alertness. The findings suggest that fatigue and drowsiness have an impact on decreased alertness, while sleep quality has no impact on decreased alertness. These findings have implications for work scheduling and managing fatigue and drowsiness among MLTs.

What the Fika? Implementation of Swedish Coffee Breaks During Emergency Medicine Conference.

In this study we aimed to investigate the effects of incorporating Swedish-style fika (coffee) breaks into the didactic schedule of emergency medicine residents on their sleepiness levels during didactic sessions. Fika is a Swedish tradition that involves a deliberate decision to take a break during the workday and usually involves pastries and coffee. We used the Karolinska Sleepiness Scale to assess changes in sleepiness levels before and after the implementation of fika breaks. The study design involved a randomized crossover trial approach, with data collected from emergency medicine residents over a specific period. This approach was done to minimize confounding and to be statistically efficient. Results revealed the average sleepiness scale was 4.6 and 5.5 on fika and control days, respectively (P = 0.004). Integration of fika breaks positively influenced sleepiness levels, thus potentially enhancing the educational experience during residency didactics.

CP-01. FATIGUE IN PATIENTS WITH HYPOTHALAMIC SYNDROME – A CROSS-SECTIONAL ANALYSIS IN THE GERMAN CHILDHOOD-ONSET CRANIOPHARYNGIOMA COHORT

Abstract BACKGROUND Patients with tumors of the sellar region are at risk of developing hypothalamic syndrome. Survivors experience fatigue and excessive daytime sleepiness even years after tumor treatment. The aim of this cross-sectional study was to determine the severity of fatigue in patients with and without hypothalamic syndrome. METHODS Patients diagnosed with CP or pilocytic astrocytoma were recruited from the KRANIOPHARYNGEOM 2000/2007/Registry 2019 studies and included in this analysis. Eligibility criteria were regular participation in outpatient after-care, one completed Multidimensional Fatigue Inventory-20 (MFI-20) questionnaire and complete medical records on criteria for hypothalamic syndrome. With univariable and multivariable linear regression, the relation of hypothalamic syndrome and levels of fatigue symptoms (MFI-20 sum score) were assessed. MFI-20 scores were compared to sex- and age-matched reference values from a German normative population using paired t-test. RESULTS Data on 46 patients, with a median age of 20 years, was available for this analysis of which 28 (61%) patients presented with hypothalamic syndrome. After adjustment for age and sex, patients with hypothalamic syndrome reported higher scores in the physical (= 3.61 [95% CI: 1.38–5.85]), mental (= 2.80 [95% CI: 0.28–5.32]) and sum MFI-20 (= 12.02 [95% CI: 2.93–21.10]) domain than patients without hypothalamic syndrome. Compared to reference values from a general German population, all patients reported higher mean scores in each fatigue domain. Regardless of the level of daytime sleepiness in patients with hypothalamic syndrome, the reported fatigue scores were high. Daytime sleepiness did not correlate with fatigue. CONCLUSIONS Fatigue symptoms are present in patients with CP. However, patients with hypothalamic syndrome are more affected in mental, physical and overall fatigue. It is crucial in clinical practice, to distinguish between sleep disorders and fatigue and to target patients with hypothalamic syndrome.

Revealing inconsistencies between Epworth scores and apnea-hypopnea index when evaluating obstructive sleep apnea severity: a clinical retrospective chart review.

A common practice in clinical settings is the use of the Epworth Sleepiness Scale (ESS) and apnea-hypopnea index (AHI) to demonstrate the severity of obstructive sleep apnea (OSA). However, several instances were noted where there were discrepancies in the reported severity between Epworth scores and AHI in our patient sample, prompting an investigation into whether OSA severity as demonstrated by AHI or predicted by ESS quantification of sleepiness is primarily responsible for inconsistencies. Discrepancies were examined between Epworth scores and AHI by categorizing patients into two categories of inconsistency: individuals with either ESS < 10 and AHI ≥ 15 events/h or ESS ≥ 10 and AHI < 15 events/h. The potential influence of sex on these categories was addressed by assessing whether a significant difference was present between mean Epworth scores and AHI values for men and women in the sample. We investigated BMI both by itself as its own respective variable and with respect to the sex of the individuals, along with a consideration into the role of anxiety. Furthermore, we tested anxiety with respect to sex. In the first category of inconsistency the average ESS of 5.27 ± 0.33 suggests a normal level of daytime sleepiness. However, this contrasts with the average AHI of 32.26 ± 1.82 events/h which is indicative of severe OSA. In the second category the average ESS of 14.29 ± 0.47 suggests severe daytime sleepiness, contradicting the average AHI of 9.16 ± 0.44 events/h which only indicates mild OSA. Sex, BMI (both as a variable by itself and with respect to sex), and anxiety (both as a variable by itself and with respect to sex) contributed to observed inconsistencies. The findings of our study substantiate our hypothesis that Epworth scores should be de-emphasized in the assessment of OSA and a greater importance should be placed on measures like AHI. While Epworth scores offer insights into patients' daytime sleepiness levels and the perceived severity of their OSA, the inconsistencies highlighted in our results when compared to AHI-based OSA severity underscore their potential inaccuracy. Caution is advised when utilizing Epworth scores for evaluating OSA severity in clinical settings.

Development of sleepiness in professional truck drivers: Real-road testing for driver drowsiness and attention warning (DDAW) system evaluation.

All new vehicle types within the European Union must now be equipped with a driver drowsiness and attention warning system starting from 2022. The specific requirements for the test procedure necessary for type approval are defined in the Annex of EU Regulation C/2021/2639. The objectives of this study were to: (i) investigate how sleepiness develops in professional truck drivers under real-road driving conditions; and (ii) assess the feasibility of a test procedure for validating driver drowsiness and attention warning systems according to the EU regulation. Twenty-four professional truck drivers participated in the test. They drove for 180 km on a dual-lane motorway, first during daytime after a normal night's sleep and then at nighttime after being awake since early morning. The results showed higher sleepiness levels during nighttime driving compared with daytime, with a faster increase in sleepiness with distance driven, especially during the night. Psychomotor vigilance task results corroborated these findings. From a driver drowsiness and attention warning testing perspective, the study design with sleep-deprived drivers at night was successful in inducing the targeted sleepiness level of a Karolinska Sleepiness Scale score of ≥ 8. Many drivers who reported a Karolinska Sleepiness Scale ≥ 8 during the drives also acknowledged feeling sleepy in the post-drive questionnaire. Reaching high levels of sleepiness on real roads during daytime is more problematic, not the least from legal and ethical perspectives as higher traffic densities during the daytime lead to increased risks.

Пошук асоціацій між використанням мобільного телефону та якістю сну у хворих на цукровий діабет другого типу

Objective: to investigate and analyze the relationship between mobile phone use and sleep quality in patients with type 2 diabetes. Materials and methods. For the purpose of retrospective analysis of medical records, 71 patients with type 2 diabetes were included, and the BMI of these patients was calculated. The next stage of our research was a telephone survey to assess the quality of mobile phone use behavior. The level of daytime sleepiness was assessed according to the Epworth questionnaire. Statistical processing of the results was carried out using the computer program STATISTICA 7.0. Research results and their discussion. When comparing the studied indicators of patients with T2DM of different ages depending on the duration of mobile phone use, it was established that the systolic blood pressure, age and BMI were probably higher in mature patients with a duration of mobile phone use of more than 8 years compared to the data of patients who have been using the phone for 5-8 years. At the same time, the age of patients and SAT among the elderly group was probably higher in patients with a term of use of more than 8 years compared to those who have been using a mobile phone for 5-8 years. Patients with T2DM have moderate (14.08%) and severe (77.47%) daytime sleepiness. Conclusions. A significantly higher percentage of mature and elderly T2DM patients who used a phone for more than 8 years was established, compared to the indicators in the group with a duration of 5-8 years of phone use, which in the case of mature age was associated with a significantly higher level of systolic blood pressure and BMI.