Stanford Sleepiness Scale Scores Research Articles

Nighttime sleep and daytime sleepiness patterns among left ventricular assist device patients.

Despite the high prevalence of sleep disturbance in the heart failure population, information about its consequence on daytime function in patients with left-ventricular assist devices (LVADs) is limited. This study examined the nighttime and daytime sleep patterns and changes from pre-implant to 6months post-implant. This study included 32 LVAD patients. Demographics, nighttime and daytime sleep variables were collected pre-implant and at 1, 3, and 6months post-implant. Wrist actigraphy and self-report questionnaires measured objective and subjective sleep, respectively. Objective nighttime sleep data were sleep efficiency (SE), sleep latency (SL), total sleep time (TST), wake after sleep onset (WASO), and sleep fragmentation (SF). Objective daytime sleep data were nap times. Self-reported Subjective Sleep Quality Scale (SSQS) and Stanford Sleepiness Scale (SSS) were subjective measures. Increased SF and WASO scores and decreased TST and SE scores were found pre-LVAD implant, indicative of poor sleep quality. TST, SE, naptime and SSQS scores were higher at 3 and 6months post-implant compared to baseline. Decreases in TST and SF scores were observed at 3 and 6months post-implant along with increases in SSS scores. Increasing SSS scores and decreasing overall scores from pre- and up to 6months post-implant suggest improvement in daytime function. This study provides information on sleep-daytime function in the LVAD patient population. Improvements in daytime sleepiness do not imply "good" sleep quality, consistent with the extant knowledge in LVAD literature. Future investigations should elucidate the mechanism by which sleep-daytime function influences quality of life.

0316 A Case Report: Comparing Sleep with and without blue light blockers

Abstract Introduction Blue light filtered eyewear is popular. Studies have looked at the effect of using blue light blockers in the evening but data is lacking on the effect of wearing blue light blockers (BLB) through the day. In this study we compared the effects of wearing BLB all day, on sleep and daytime sleepiness. Methods This is a single case report. A 32 year male wore an Actiwatch Pro and collected sleep diaries for 18 days. On days 1-9, non-blue light blocking eyewear (NBLB) were used all day. On days 10-18, BLB were used all day. Karolinska Sleepiness Scale (KSS) and Stanford Sleepiness Scale (SSS) during morning, afternoon and before sleep were recorded. IBM SPSS v. 29.0.0 is used for descriptive analysis, Pearson correlation and T-test comparison. Results White light exposure was not statistically different from BLB and NBLB. Data measured in minutes. Mean and standard deviation of in-bed duration with NBLB was 477.89±66.17 and with BLB was 518.06±53.06 (p=0.087). Sleep time with NBLB was 431.89±52.05 and with BLB was 471.72±48.49 (p=0.056). Wake After Sleep Onset (WASO) with NBLB was 43.78±18.63 and with BLB 46.33±14.25 (p=0.374). Percent Sleep with NBLB was 90.96±2.83% and with BLB was 91.09±2.29 (p=0.459). KSS scores for morning on NBLB was 1.75±1.035 and 1.00±0 with BLB (p= 0.023), afternoon NBLB 4.13±1.25, BLB 3.67±0.87 (p=0.194), before sleep NBLB 8.5±1.41 and 8.56±0.53 with BLB (p=0.457). SSS scores for morning on NBLB was 1.63±0.744 and 1.00±0 with BLB (p= 0.012), afternoon NBLB 3.38±1.06, BLB 3.56±0.88 (p=0.353), before sleep NBLB 7.00±1.41 and 7.89±0.60 with BLB (p=0.053). There was a strong correlation between white light exposure and increased WASO (Pearson 0.514) and strong negative correlation (Pearson -0.535) between white light exposure and percent of sleep duration. Conclusion Although there were no statistically significant differences between the sleep parameters between NBLB and BLB, we found a strong correlation between sleep time and white light exposure and negative correlation. When using BLB morning alertness was better. Support (if any)

Nutrition, lifestyle, and cognitive performance in esport athletes.

Electronic sports, termed esports, is a growing athletic activity in which high levels of attention and cognitive performance are required. With its increasing popularity and competitiveness, interest in strategies to improve performance have emerged. Improving esports athlete performance, namely cognitive endurance, and resilience, may lie in nutritional or lifestyle factors. The Nutrition, Vision, and Cognition in Sport Studies (IONSport) investigated nutritional and behavioral factors that can influence cognition via 3-dimensional multiple objects tracking test (3DMOT) via Neurotracker X (NTx) software. The purpose of this study was to characterize the lifestyle of high level esports athletes with detailed nutrition, sleep, and physical activity assessments, and their association to gaming related cognitive performance. 103 male and 16 elite female esports athletes aged 16 to 35 years old completed surveys, food records, and cognitive testing sessions over 10 days. Participants were instructed to maintain their normal dietary and lifestyle habits. There were positive significant associations between average NTx scores and the following nutrients: magnesium, phosphorous, potassium, sodium, zinc, selenium, thiamin, niacin, vitamins B6 and B12, folate, cholesterol, saturated, polyunsaturated, and monounsaturated fats, omega-6 and omega-3 fatty acids, and choline. Majority of participants did not meet recommended dietary allowances (RDAs) for these micronutrients nor the recommended intakes for dairy, fruit, and vegetables. There was a significant (p = 0.003) positive (r = 0.272) association between total vegetable intake and average NTx score. There was a significant negative association (p = 0.015) with our final sustain session, which measured cognitive resilience, and the Stanford Sleepiness Scale score. Repeated measures analysis was done with these groups over the 18 core NTx sessions. There were significant (p = 0.018) differences between the two groups with those who consumed the recommended amount of protein or more performing significantly better on NTx over the 18 sessions than those that did not consume enough protein. Those who consumed the recommended intakes for riboflavin, phosphorous, vitamin B12, and selenium performed significantly better over the 18 core NTx sessions than those that did not meet the recommended amounts. The need for a nutrition intervention that is rich in protein, vitamins, and minerals is warranted in this population.

0226 Effect of Wake Extension and Short Recovery Sleep on Objective Vigilance and Subjective Sleepiness in Young Adolescents

Abstract Introduction Adolescents routinely experience insufficient sleep. Compared to adults, less is known regarding how wake extension and recovery sleep impact objective and subjective indexes of vigilance in youth. Here we explore these questions using acute wake extension. Methods Twenty-two 10–13-year-old children (12.03±1.14 years, 12F) completed a week of actigraphy-monitored at-home sleep stabilization (9.5h TIB). Participants then slept in the laboratory with polysomnography for a baseline (BSL) opportunity of 9.5h (21:00-06:30) and returned the subsequent evening for wake extension (WE) to 02:30 and a 4h recovery sleep opportunity (02:30-06:30). Participants completed performance testing batteries including a 5-minute tablet-based visual adaptation of the psychomotor vigilance task (PVT; BrainBaseline) and introspective ratings at 20:00 and 07:30, as well as at three additional times during WE: 22:00, 00:00, and 01:30. The current analyses focused on PVT reciprocal reaction time (RRT: 1/RT) and the Stanford Sleepiness Scale (SSS) ratings. Results One-way ANOVA across WE (20:00, 22:00, 00:00, 01:30) showed a main effect of time for slower reaction times as participants remained awake (m±sd [1/s] 20:00: 2.01±0.32; 22:00: 1.84±0.33; 00:00: 1.79±0.29; 01:30: 1.71±0.34; F(3,63)=13.78, p<.05, ηp2= .40). After recovery sleep, RRTs at 07:30 (1.69±0.31) were slower than those at 07:30 after baseline sleep (1.95±0.36) (t(21)=5.46, p<.001) and did not differ from 01:30 during WE (t(21)=0.64, p=0.53), indicating persistent impairment after recovery sleep. A main effect of time during WE was also seen for the SSS (20:00: 1.77±0.69; 22:00: 3.36±1.71; 00:00: 4.14±1.21; 01:30: 5.68±1.25; F(3,63)=56.80, p<.001, ηp2= .73). Morning SSS scores were higher (sleepier) on WE (2.24±1.30) than BSL (1.71±0.90) (t(20)=2.45, p=.024). However, unlike RRTs, morning SSS scores were also significantly lower (less sleepy) at 07:30 following recovery sleep compared to 01:30 during WE (t(21)=9.80, p<.001). Conclusion Vigilance performance and sleepiness after 13.5 until 19 h awake worsened and PVT performance did not improve after 4h recovery sleep; however, perceived sleepiness after 4h recovery sleep decreased. This incongruent performance and perception confirms the vulnerability of youth to even partial sleep loss. Our next analyses will consider inattention phenotypes and recovery sleep physiology as potential moderators of these effects. Support (if any) K01MH109854, P20GM139743

Temporal dynamics of subjective sleepiness: A convergence analysis of two scales

ABSTRACT While sleepiness assessment metrics were initially developed in medical research, subjective sleepiness assessment is now widely used in both fundamental and applied studies. The Stanford Sleepiness Scale (SSS) and the Karolinska Sleepiness Scale (KSS) are often considered the gold standard in sleepiness research. However, their convergence and specific features have not been sufficiently investigated. The present study aims to analyse the dynamics and convergence of subjective sleepiness as measured by the KSS and SSS. A total of 208 adults participated in the experiment. Our findings suggest that sleepiness generally increased from the evening till night and was highest early in the morning. The SSS score appeared to be more sensitive to certain factors. The SSS and KSS scores strongly correlated with each other and converged on sleepiness assessment. However, the KSS showed a more even distribution of scores than the SSS. Currently, we are continuously expanding the SSDD.

Sleep Habits and Changes in Pregnant Women

Aim: The aim of this study is to evaluate pregnant women admitted to the outpatient clinic in terms of sleep apnea risk and sleep quality.
 Materials and Method: 31 women were included in this retrospective descriptive study which were conducted at Obstetrics and Gynecology Outpatient Clinic of the Hospital, between January 2016 and January 2017. Demographic characteristics, results of sleep questionnaires, pulmonary function test values, and information about delivery of the patients were obtained retrospectively for the 8th week and last trimester.
 Results: The mean sleep time was 7.9±1.3 hours at 8th week and 7.3±2.0 hours at last trimester; with no significant difference in two periods (p=0.077). According to sleep questionnaires there was no statistically significant difference between 8th week and the last trimester (p>0.05), except Stanford Sleepiness Scale score (p=0.047). There was no significant difference according to pulmonary function test values between 8th week and last trimester (p>0.05), there was a statistical difference between two periods only in terms of FEV1% (p=0.047). No significant difference was found between the mean birth weight of babies of 13 pregnant women with poor sleep quality and mean birth weight of babies of 18 pregnant women with good sleep quality (p=0.565).
 Conclusion: As a result, in our study, nearly half of the pregnant women had impaired sleep quality in the last trimester according to the Pittsburg Sleep Quality Index, but birth weight was not affected in pregnant women with poor sleep quality. Sleep quality, the presence of OSAS in pregnancy and its relationship with pregnancy and postpartum complications are not clear, OSAS pregnancy studies should be performed especially involving complicated pregnancies.

Early To Bed, Early To Rise: LVAD Patients And Sleep Patterns

Early To Bed, Early To Rise: LVAD Patients And Sleep Patterns

Reduced Sleep Quality Is Related to Poor Quality of Life in Patients with Juvenile Myoclonic Epilepsy, a Case-Control Study.

Juvenile myoclonic epilepsy (JME) is a primary generalized epilepsy which is closely related to the sleep-wake cycle. This study aimed to investigate whether sleep disturbance is more common among patients with JME and the impact this may have on their quality of life (QOL). Thirty-four patients with JME and age- and gender-matched controls were recruited into this case control study, and assessed using validated sleep questionnaires including the Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), and Stanford Sleepiness Scale (SSS). QOL was assessed using the Quality of Life in Epilepsy Inventory (QOLIE-31). The patients had a significantly higher PSQI score and higher proportion of abnormal PSQI scores than the controls. They also had higher ESS and SSS scores, but without statistical significance. The patients with poor sleep quality had significantly lower overall QOL, emotional well-being, and energy/fatigue subscale scores. The use of a higher number of antiseizure medications, dosage of levetiracetam, and usage of antiseizure medication polytherapy were associated with sleep disorders. Our results showed that sleep disturbance is common in patients with JME, and also that it has an impact on their QOL.

Correlation Between Anthropometric Measures and Daytime Sleepiness in Young Adults

Background: Current patterns of lifestyle, especially in young adults, linked to technological and socialdevelopment, have led to an increased prevalence of sleep disorders. Excessive daytime sleepiness (EDS) whenpresent hampers the quality of life of the individual and the overall productivity of the community as a whole.Three major hormones which influence the metabolism of the human body namely ghrelin, leptin and insulin areknown to be affected by Inadequate sleep. The purpose of this study was to find if there is any correlation betweenExcessive daytime sleepiness and body composition in order that useful interventions may be found, to reduce theburden of these conditions.Methods: The research involved 30 subjects between 18 to 25 years of age. Body mass index, waist-hip ratio andneck circumference was calculated and the daytime sleepiness was measured using the Stanford Sleepiness Scale(SSS). The Spearman rank correlation test was used for analysis.Conclusion: Stanford Sleepiness Scale score was correlated with Body mass index, waist-hip ratio and neckcircumference individually and the p value came to be 0.5876, 0.8145 and 0.9076 respectively which is notconsidered significant. Hence, no correlation was found between daytime sleepiness and Body mass index, Waisthipratio and Neck circumference.

P106 Evaluating the correlation between objective daytime sleepiness, daytime functioning and subjective sleepiness

Abstract Introduction Daytime sleepiness is typically assessed in clinical settings with the Multiple Sleep Latency Test (MSLT) and Maintenance of Wakefulness Test (MWT). However, these tests do not necessarily assess daytime functioning. This study aimed to assess the correlation between a 10-min Psychomotor Vigilance Test (PVT), as a measure of daytime functioning, and excessive daytime sleepiness as measured with the MSLT or MWT. Methods Patients attending the sleep clinic for assessments of daytime sleepiness underwent overnight polysomnography (PSG) and completed the Epworth Sleepiness Scale (ESS). The following day, patients completed four test sessions every 2h starting 1.5h after waking. Testing sessions included the Stanford Sleepiness Scale (SSS), PVT, MWT or MSLT. PVT lapses (reaction time >500ms), SSS score and sleep latencies (MSLT and MWT) were averaged within participants across sessions and regression analyses performed to assess the relationship between PVT lapses and sleepiness measures. Results A total of 41 patients (BMI: 33.7±8.7kg/m²; aged 44.8±17.8 years) completed the study. Of these, 22 (19 F) underwent the MSLT and 19 (2 F) underwent the MWT. PVT lapses correlated with MWT mean sleep latency (r²=0.62; p<0.001), ESS (r²= 0.19; p<0.01) and SSS (r²= 0.12; p<0.05) but not MSLT mean sleep latency (r²= 0.02; p = 0.50). Discussion In clinical practice, MWT and ESS are often used in conjunction to assess daytime functioning. Results suggest that the PVT could be used alongside MWT to aid clinical judgments around an individuals’ daytime functioning.

Effectiveness of intranasal steroids on rhinitis symptoms, sleep quality, and quality of life in patients with perennial allergic rhinitis.

Evaluate the impact of perennial allergic rhinitis (PAR) on the health-related quality of life (HRQL) and measure performance issues that are of major concerns for PAR patients, as well as determining the effect of intra-nasal steroids (INS) on PAR and associated congestion, sleep complaints, and daytime sleepiness. This study was a cross-sectional study. A total of 78 PAR patients underwent otorhinolaryngological examination and skin test. All participants filled in the Nocturnal Rhinoconjunctivitis Quality of Life Questionnaire (NRQLQ), the Stanford Sleepiness Scale (SSS), and the Epworth Sleepiness Scale (ESS). Participants were asked to undergo treatment with Budesonide (BUD) topical aqueous nasal spray for eight weeks. After the treatment period, all participants were again asked to answer the three questionnaires. The results of this study found statistically significant improvements in the overall NRQLQ score (p < 0.001) and individual NRQLQ domain scores (p < 0.05) after INS treatment. A statistically significant reduction in symptom severity in the four NRQLQ domains before and after treatment was found (p < 0.05), except for restlessness, post-nasal drip, and avoiding symptom triggers (p = 0.575, 0.172, and 0.705, respectively). There was a statistically significant difference in ESS and SSS scores before and after treatment (p < 0.001). PAR has a significant impact on sleep quality and, as a result, a lower QOL. This study demonstrates that INS is an effective modality in the treatment of PAR and positively impacts patients' QOL by improving nasal symptoms, daytime fatigue, and somnolence, and sleep quality.

Gradually Increased Interhemispheric Functional Connectivity During One Night of Sleep Deprivation.

BackgroundIt is well known that circadian rhythms and sleep homeostasis contribute to a pronounced trough in sleepiness and behavioral performance at night. However, the underlying neuroimaging mechanisms remain unclear. How brain-function connectivity is modulated during sleep deprivation (SD) has been rarely examined.MethodsBy increasing the number of scanning sessions during SD, the current study used voxel-mirrored homotopic connectivity (VMHC) to investigate dynamic changes in interhemispheric communication during one night of SD. Every 2 hours from 10 pm to 06 am (session 1, 10 pm; session 2, 12 am; session 3, 2 am; session 4, 4 am; session 5, 6 am), functional magnetic resonance–imaging data and Stanford Sleepiness Scale (SSS) scores were collected from 36 healthy participants with intermediate chronotype. Dynamic changes in SSS scores and VMHC were determined using one-way repeated-measure ANOVA with the false discovery–rate method to correct for multiple comparisons.ResultsSignificant time effects for VMHC were found mainly in the bilateral thalamus, bilateral superior temporal gyrus, and bilateral precentral gyrus. SSS scores and VMHC in these areas were both found to be monotonously increased during SD. Furthermore, significant positive associations were found between SSS valu and VMHC values in the left superior temporal and right superior gyri.ConclusionThese findings might represent the dynamic modulation of circadian rhythm merely or the interaction effects of both circadian rhythm and sleep homeostasis on interhemispheric connectivity within the thalamus, default-mode network, and sensorimotor network. Our study provides more comprehensive information on how SD regulates brain connectivity between hemispheres and adds new evidence of neuroimaging correlates of increased sleepiness after SD.

The effects of caffeine on drowsiness in patients with narcolepsy: a double-blind randomized controlled pilot study.

The effects of caffeine on drowsiness and reaction time in patients with narcolepsy are unclear. We aimed to assess the effects of caffeine as add-on therapy in narcolepsy patients. A randomized, double-blind, placebo-control clinical pilot trial was conducted with a parallel, two-arm trial allocation ratio of 1:1. Participants attended two study visits 7days apart. The drug was administered orally in a single opaque capsule containing 200mg caffeine/placebo daily in the morning for 1week. Sleepiness was assessed objectively using infrared reflectance oculography to measure the percentage of long eye closure (LEC%) and subjectively using two sleepiness scales, the Stanford Sleepiness Scale (SSS) and Karolinska Sleepiness Scale (KSS). Parameters were measured at baseline (BL) prior to taking the drug, after taking the first dose (FD), and after 1week (WD) of daily caffeine. Sixteen participants with narcolepsy were included. No significant differences between groups in baseline measurements were observed. LEC% was significantly decreased after the FD and WD compared with baseline levels (BL 1.4 ± 2.1 vs. FD 0.06 ± 0.0.6 and WD 0.03 ± 0.04). Significant improvements in alertness were observed using the KSS when comparing BL with FD and WD (6.3 ± 1.6, 4.9 ± 1.7, and 4.7 ± 1.7, respectively; p = 0.01). No changes in reaction time or SSS scores were noted. Our findings suggest that a small dose of caffeine has positive effects on alertness in patients with narcolepsy. However, larger trials are required to confirm these findings. ClinicalTrial.gov NCT02832336.

The Effect of Hypnotics on Sleep Quality and Cognitive Function in Patients with Brain Tumors

ObjectiveWe investigated the effect of hypnotics on sleep quality, cognitive function, and depressive mood in patients with insomnia following brain tumor resection. MethodsFrom patients who underwent brain tumor resection, we recruited 10 patients with insomnia who received hypnotics for more than 1 week during a 3-week follow-up period (insomnia group). We also recruited 12 control patients with brain tumors but without insomnia (control group). We evaluated sleep quality at baseline and 3 weeks later using the Insomnia Severity Index (ISI), the Pittsburgh Sleep Quality Index (PSQI), the Stanford Sleepiness Scale (SSS), and the Epworth Sleepiness Scale (ESS) and investigated cognitive function and depression using the Computerized Neuropsychological Test and the Beck Depression Inventory (BDI). ResultsAt baseline, SSS, ISI, PSQI, and BDI scores were significantly higher and visual continuous performance test (VCPT) and auditory continuous performance test (ACPT) scores were significantly lower in the insomnia than in the control group. Three weeks later, the patients who had received hypnotics had significantly higher ISI, PSQI, ESS, VCPT, ACPT, visual span forward and backward, and visual recognition test scores, and significantly lower BDI scores. ConclusionQuality of sleep in patients with insomnia following brain tumor resection was initially poor but improved significantly after taking hypnotic medication. Further, the hypnotic medications appeared to contribute to the amelioration of cognitive impairments and depressive moods in patients who previously underwent brain tumor resection. We thus recommend the use of hypnotics for patients with brain tumors with insomnia.

Maternal Sleepiness and Risk of Infant Drops in the Postpartum Period

An increase in infant drops on a postpartum unit prompted a quality improvement project to examine causes and formulate risk reduction strategies. Review of health records revealed that infant drops occurred more frequently when mothers fell asleep holding infants. A prospective descriptive study was conducted with a convenience sample of 101 postpartum mother-infant dyads. Hourly assessments of maternal sleepiness using the Stanford Sleepiness Scale (SSS) and surveillance of patient rooms were performed during hospitalizations (N = 4,550 observations). Mothers slept on average 3.7 hours/day (median = 5.0). Sleepiness followed an expected nighttime routine on postpartum day 1 regardless of when mothers arrived on the unit. Peak sleepiness was observed at 04:00 (mean SSS score = 5.3; standard deviation [SD] = 2.6), and mothers were most awake until 18:00 (mean SSS score = 1.9; SD = 1.7). No infant drops occurred during the project; however, 50 participants required at least one intervention or corrective action to address unsafe sleep. Of 1,718 observations of mothers in bed with their infant, there were 35 instances (2.0%) where nurses observed mothers asleep holding their infant. Frequent observations of maternal sleepiness and infant environments may prevent infant drops and provide opportunities for intervening with risk reduction strategies, including education on safe sleep for infants.

Effects of hypnotics on prefrontal cortex activity during a verbal fluency task in healthy male subjects: A near-infrared spectroscopy study.

To assess the effects of hypnotics on prefrontal cortex activity in healthy subjects using near-infrared spectroscopy (NIRS) in a double-blind, placebo-controlled crossover trial. Eighteen healthy males received acute doses of ramelteon (8mg), triazolam (0.125mg), or placebo in a predetermined randomization schedule, with a washout period of more than 1week. All subjects performed a verbal fluency task during NIRS assessments at baseline and at 1 and 4hr post-dose. The number of words correctly generated during the task (behavioral performance) and scores on the Stanford Sleepiness Scale (SSS) were also recorded at each test time. Compared with the placebo, triazolam (0.125mg) significantly decreased oxyhemoglobin (oxy-Hb) concentration change in NIRS during the posttask period and significantly increased behavioral performance, whereas triazolam (0.125mg) and ramelteon (8mg) significantly increased SSS scores. The differential effects of two types of hypnotics on oxy-Hb change measured by NIRS were observed in acute dosing, suggesting that when assessing brain activity of patients with psychiatric disorders, researchers should consider how certain types of hypnotics can influence brain function. This would also provide useful information to clinicians when prescribing hypnotics suitable for their patients' conditions.

Is self-report sleepiness associated with cognitive performance in temporal lobe epilepsy?

Sleepiness and cognitive impairment are common symptoms observed in patients with epilepsy. We investigate whether self-reported sleepiness is associated with cognitive performance in patients with refractory mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS). Seventy-one consecutive patients with MTLE-HS were evaluated with the Stanford Sleepiness Scale (SSS) before neuropsychological evaluation. Their mean SSS scores were compared with controls. Each cognitive test was compared between patients with (SSS ≥ 3) or without sleepiness (SSS < 3). Imbalances were controlled by regression analysis. Patients reported a significantly higher degree of sleepiness than controls (p < 0.0001). After multiple linear regression analysis, only one test (RAVLT total) remained associated with self-reported sleepiness. Self-reported sleepiness was significantly higher in MTLE-HS patients than controls, but did not affect their cognitive performance. If confirmed in other populations, our results may have implications for decision making about sleepiness screening in neuropsychological settings.

Study of Equilibrium Control System during a Lowering at Arousal Level

Contingent negative variation (CNV) is an event-related potential proportional to vigilance degree. A CNV graph shows an inverted U-shape, and this bioreaction disappears after falling below a threshold of vigilance degree. Previous studies have shown that the event-related potential gained with time decreases with sleep deprivation, and a decrease in the vigilance degree has been confirmed using Flicker values (FV) and the Stanford Sleepiness Scale (SSS) score. The minimum integrated value was recorded 24 h after the onset of sleep deprivation. In a present study, we used 36-h sleep deprivation. The FVs, SSS scores, and stabilograms were obtained every 90 min for 52 h, except for the 12 h of sleep. We herein examine whether the biocontrol system is changed by sleep deprivation. The time sequences in FV and SSS score showed that the degree of vigilance markedly decreased 22.5 h after the onset of this experiment, which supported CNV disappearance with sleep deprivation. The sway value with subjects' eyes closed was greatest 22.5 h after the onset of this experiment. Furthermore, there were no significant differences between the sway value during the above-mentioned sleep deprivation and that after 12 h of sleep. We considered that the equilibrium function and vigilance after 36-h sleep deprivation did not recover markedly well with sleep of sufficient duration. That is, the biocontrol process in the subconscious still proceeds after awakening. In this study, we focused on bioprocessing, especially the equilibrium function, during sleep deprivation and investigated the relationship between the equilibrium function and sleep deprivation. We obtained evidence supporting CNV disappearance after sleep deprivation for 36 h. The equilibrium control system without CNV was compared with that with CNV.

Multiple dimensions of excessive daytime sleepiness.

In this study we investigated subjective measures of sleepiness and related our findings to dimensions of affect, fatigue, emotion, mood and quality of life based on a hypothetical multidimensional model of sleepiness. Patients referred to a sleep clinic were assessed regarding their excessive daytime sleepiness (EDS), sleep complaints, routine and symptoms. Age, gender and body mass index (BMI), the Epworth Sleepiness Scale (ESS), the Stanford Sleepiness Scale (SSS), the Samn-Perelli fatigue Scale (SPS), the Global Vigor and Affect Scale (GVS and GAS, respectively), the Hospital Anxiety and Depression Scale (HADS-A and HADS-D, respectively), and the Positive and Negative Affect Schedule (PAS and NAS, respectively) scores were recorded. Fifty patients [25 male, 45.2 (18.7) years] completed the questionnaires. The ESS scores were positively correlated with SSS, SPS, HADS-A, HADS-D and NAS scores and negatively with GVS and GAS scores (P<0.05). The SPS (P<0.001) and HADS-A scores (P=0.002) were independently associated with the ESS scores (R2=0.532, adjusted R2 =0.4794, P<0.001). A model of sleepiness that assesses dimensions of fatigue and anxiety could explain the symptom of subjective sleepiness better than the isolated use of the ESS.

The effect of local extremely low frequency magnetic field on student sleepiness

ObjectivesLack of high-quality sleep causes serious side effects. The current study aimed to investigate the impact of local extremely low frequency magnetic field (ELF-MF) on sleep and drowsiness in healthy young adults.MethodsSixty-five young adults (32 males and 31 females, aged 18–24, participated voluntarily in this randomized crossover clinical trial. 200 microTesla MF (3 minutes duration) at three frequencies (10, 14 and 18 Hz) was applied to the skull in areas C3, Cz and C4, respectively. The Stanford Sleepiness Scale (SSS) or Consciousness Test (CT), Epworth Sleepiness Scale (ESS) and Peabody Picture Vocabulary Test were used to evaluate drowsiness, sleepiness, and reaction time. These tests were done both before and after application of ELF-MF or sham operation.ResultsMinimum reaction time after exposure to ELF-MF increased compared to that before exposure (P = 0.03), while it was not significant for the sham group (P = 0.63). From the ESS questionnaire, the results indicated that there was no significant difference for males or females between the exposure and sham groups. The mean of the SSS scores was no different compared to that before exposure.ConclusionThe results of this study demonstrated that exposure to ELF-MF may influence reaction time in young healthy people. However, as the results of ESS and SSS were not different between exposure and non-exposure groups, further studies using larger sample sizes are recommended in order to reach better interpretations of the effects of ELF-MF on sleepiness in young people.