Sleep Time Research Articles

Automated sleep apnea detection from snoring and carotid pulse signals using an innovative neck wearable piezoelectric sensor

This study introduces an innovative wearable neck piezoelectric sensor (NPS) that measures snoring vibrations and carotid pulsations, offering a significant advancement in sleep apnea syndrome (SAS) diagnosis. Utilizing advanced algorithms like discrete wavelet transform and dynamic thresholding, the NPS detects snoring events with 83% accuracy, comparable to polysomnography, and calculates key metrics such as the snoring index (SI) and normalized snoring vibration energy (SVE%). Unlike traditional methods, the SVE% from NPS directly correlates with subjective assessments of snoring severity. It also measures carotid pulsation metrics such as pulse rate and the standard deviation of normal-to-normal intervals, achieving 85% accuracy in sleep phase determination against polysomnography. Moreover, NPS surpasses traditional methods in SI and SVE% accuracy, closely aligning with clinical evaluations of SAS severity. This user-friendly technology automates the measurement of critical snoring metrics, transforming SAS diagnosis and treatment by enhancing accessibility and efficiency for healthcare providers and patients.

Cognitive behavioral therapy for symptomatic paroxysmal atrial fibrillation: effects on physical activity, sleep and heart rate variability

Abstract Background We have devised a novel psychological intervention, cognitive behavioral therapy for paroxysmal atrial fibrillation (AF-CBT), that targets symptom preoccupation and avoidance behaviour. AF-CBT significantly improved cardiac anxiety and quality of life (QoL) in a randomized trial. To what extent this may be attributed to changes in physiological parameters is yet to be determined. Purpose A) to assess changes in objective and subjective measures of physical activity and sleep. B) to evaluate potential treatment effects on heart rate variability (HRV). Methods Patients with paroxysmal AF on optimal medical therapy (65.4±8.3 years, 58% women) and European Heart Rhythm Association Symptom Score ≥2b were randomized to a 10-week therapist-led online AF-CBT (n=65) or a control group (n=62), with the primary outcome of Atrial Fibrillation Effect on Quality-of-life (AFEQT). A Patch-Holter with an integrated accelerometer was applied for five days at baseline, post-treatment, and at three months follow-up. Each recording was divided into day and night (sleep time) based on posture, heart rate, and activity. HRV was analysed in both time and frequency domains, excluding AF episodes and aberrant beats. Results AFEQT increased from 62.4±14.3 to 83.7± 13.8 points in the AF-CBT group at the 3-month follow-up with a relative difference of 15.0 points. At baseline, the participants walked 8040±2600 steps/day and slept 8.0 ± 1.1 hours. AF-CBT did not increase physical activity, and there were no significant changes in objective sleep duration. The Insomnia Severity Score went from subclinical (12.2±6.7) to near normal values (8.1±5.6), which was significant as compared to controls (p=0.032). AF burden increased from 5.3% to 7.3% in the AF-CBT group and 5.0% to 9.2% in the control group, with no difference between the groups (p=0.59). We did not observe any change in heart rate or HRV indices at rest during the day or at night. Conclusion AF-CBT did not mediate its effects on QoL by improving objective physiological variables. Thus, our findings underline the importance of subjective, psychological, and behavioural aspects and indicate that AF-CBT might fill a void beyond medical and lifestyle interventions in comprehensive AF care.

Chrono-nutrition and post-bariatric weight loss: insights from the Portuguese ChronoWise cohort

Abstract Background Post-bariatric weight loss varies substantially, and a large proportion of patients respond poorly. The literature highlights the importance of chrono-nutrition for weight regulation. This study aims to explore the chrono-related factors associated with poorer weight loss. Methods This study was conducted within the ChronoWise project, an ongoing prospective cohort study following patients undergoing bariatric surgery at the Santo António Local Health Unit, Porto. The sample included patients evaluated at both pre-surgery and 3 months post-surgery. Baseline information on meal timing was gathered through the Chrononutrition Profile-Questionnaire. The eating midpoint (midpoint between first and last meal) was calculated for work and free days. Chronotype was determined using the Munich Chronotype Questionnaire. Weight loss was expressed as the percent of total weight loss (%TWL = [(initial weight − current weight)/(initial weight)]×100). Chrono-related variables were compared according to %TWL (dichotomized by the median) using the Mann-Whitney test. Results Sixty patients were included (72% female; mean age 45±11.8). The mean baseline BMI was 44±5.6 kg/m2, which decreased to 35±5.3 kg/m2 at 3 months post-surgery, resulting in an average 20±3.9 %TWL. On free days, participants with lower %TWL tend to do the first meal later in the day (9h45 vs. 9h10, р=0.367), and later lunch on workdays (12h45 vs 12h30, р=0.531) compared with individuals with higher %TWL. Lower %TWL is typically observed in individuals having later eating midpoints (15h00 vs. 14h15 for workdays, р=0.011; 15h07 vs. 14h44 for free days, р=0.205). A later chronotype (3h37 vs 3h30, р=0.347) was also linked with poorer weight loss. Conclusions Eating later during the day and later chronotype may contribute to poorer post-bariatric weight loss. Funding: This work was supported by FCT - Fundação para a Ciência e Tecnologia [2021.01096.CEECIND, UIDB/04750/2020,LA/P/0064/2020&SGITR2023/EPIUnit]. Key messages • Recognizing meal timing as a modifiable lifestyle factor may optimize current approaches by aligning food intake with circadian clock. • A later chronotype, i.e. a behavioural expression of an individual’s internal circadian clock system as a preference for eveningness or later sleep timing, may negatively influence weight loss.

Sex differences in sleep deficits in mice with an autism-linked Shank3 mutation

BackgroundInsomnia is more prevalent in individuals with Autism Spectrum Disorder (ASD), can worsen core-symptoms and reduces quality of life of both individuals and caregivers. Although ASD is four times more prevalent in males than females, less is known about sex specific sleep differences in autistic individuals. Recent ASD studies suggest that sleep problems may be more severe in females, which aligns with the sex bias seen in insomnia for the general population. We have previously shown that male mice with a mutation in the high confidence ASD gene Shank3, Shank3∆C, recapitulate most aspects of the ASD insomnia phenotype. The objective of the present study was to leverage the Shank3∆C model to investigate sex-specific effects in sleep using polysomnography.MethodsAdult male and female Shank3∆C and wildtype (WT) littermates were first recorded for 24 h of baseline recordings. Subsequently, they were sleep deprived (SD) for five hours via gentle handling and allowed 19 h of recovery sleep to characterize the homeostatic response to SD. Vigilance states (rapid eye movement (REM) sleep, non-rapid eye movement (NREM) sleep and wake) were assigned by manual inspection using SleepSign. Data processing, statistical analysis and visualization were conducted using MATLAB.ResultsSex and genotype effects were found during baseline sleep and after SD. At baseline, male Shank3∆C mice sleep less during the dark period (active phase) while female Shank3∆C mice sleep less during the light period (rest phase) and sleep more during the dark period. Both male and female Shank3∆C mice show reduced spectral power in NREM sleep. We detect a significant effect of sex and genotype in sleep onset latency and homeostatic sleep pressure (sleepiness). In addition, while male Shank3∆C mice fail to increase sleep time following SD as seen in WT, female Shank3∆C mice decrease sleep time.ConclusionsOverall, our study demonstrates sex differences in sleep architecture and homeostatic response to SD in adult Shank3∆C mice. Thus, our study demonstrates an interaction between sex and genotype in Shank3∆C mice and supports the use of the Shank3∆C model to better understand mechanisms contributing to the sex differences in insomnia in ASD in clinical populations.

Longitudinal associations between accelerometry-assessed sleep clusters and obesity in adolescence and young adulthood: the German GINIplus and LISA birth cohorts study

Abstract Background Some studies have identified diverse sleep patterns in adolescents and adults by considering multidimensional objective sleep parameters. However, whether sleep patterns are consistent from adolescence to young adulthood and their long-term associations with obesity remain unknown. Purpose This study aimed to investigate the longitudinal associations of objectively measured and clustering-identified sleep patterns with body mass index (BMI) and overweight/obesity in adolescence and young adulthood, and to test whether these associations change over time or are modified by genetic risk. Methods A total of 1973 participants wearing 7-day accelerometers in either 15-year (n=1347, aged 14.3-16.4 years) and/or 20-year (n=1262, aged 19.5-22.4 years) follow-ups of German GINIplus and LISA birth cohorts were included. Sleep clusters were identified by K-means cluster analysis on 12 accelerometry-assessed sleep characteristics at each follow-up. BMI and overweight/obesity were measured by physical exams or self-/parent-reported questionnaires. Multivariable linear and logistic regression models with generalized estimating equations were tested. The interaction effects with time of follow-ups and polygenic risk scores (PRS, n=1087) for BMI were further examined. Results Although sleep characteristics changed from adolescence to young adulthood, such as shorter total sleep time (mean 7.2 to 6.6 hours), the consistent five sleep clusters were classified in both periods: good sleep, delayed sleep phase, sleep irregularity and variability, fragmented sleep, and prolonged sleep latency. Compared to the "good sleep" cluster, the "prolonged sleep latency" cluster showed significant associations with higher BMI (β=0.56, 95% confidence interval (CI) = [0.06, 1.05]) and increased odds of overweight/obesity (odds ratio (OR)=1.55, 95%CI= [1.02, 2.34]). PRS was associated with higher BMI (β=0.65, 95%CI= [0.39, 0.91]) and overweight/obesity (OR=1.52, 95%CI= [1.15, 2.00]), with no significant gene-sleep cluster interaction effect. Only among males, the interaction effects with time of follow-ups on overweight/obesity were observed in the "delayed sleep phase", "sleep irregularity and variability", and "fragmented sleep" clusters (p-interaction <0.05), showing more harmful effects with increasing age. Conclusions Five sleep patterns were identified consistently across adolescence and young adulthood, and the "prolonged sleep latency" pattern was associated with higher BMI and overweight/obesity, independent of genetic risk. For young adult males, "delayed sleep phase", "sleep irregularity and variability" and "fragmented sleep" patterns seemed to have more unfavorable impacts on overweight/obesity.

Sleep pattern, behavior, duration and incident hypertension: results from two large prospective cohorts

Abstract Background Poor sleep quality pose significant public health challenges globally. The objective of this study is to investigate the association between sleep quality, duration and the risk of hypertension. Methods 284,250 adults from the UK Biobank (UKB) and 6,104 participants from the English Longitudinal Study of Ageing (ELSA) were analyzed. The exposures of interest were sleep quality and duration. Sleep quality was evaluated based on the number of healthy sleep behaviors (UKB cohort) or questionnaire adapted from the Jenkins Sleep Problems Scale (ELSA cohort). Participants were divided into three groups based on the assessment of sleep quality. Long sleep is characterized by a duration exceeding 8 hours, medium sleep ranges from 7 to 8 hours and short sleep denotes less than 7 hours of sleep. The primary endpoint was incident hypertension. Results In UKB cohort, participants with poor sleep quality showed significantly higher risk of hypertension compared those with healthy sleep quality (hazard ratio [HR] 1.276, confidence interval [CI] 1.21, 1.346). Short sleep duration (≤7h) was associated with an elevated hypertension risk in participants regardless of different sleep quality, and both short(≤7h) and prolonged sleep time (≥9h) were associated with an increased hypertension risk in the poor sleep quality group. Several factors were independently associated with a lower risk of hypertension, including appropriate sleep duration (7-8 hours per day), absence of frequent insomnia, no self-reported snoring(P<0.001). Associations between sleep quality and an increased risk of hypertension remained significant regardless of genetic susceptibility to hypertension (P for interaction= 0.067). Conclusions Poor sleep quality is associated with an elevated risk of hypertension. Adjusting sleep behavior to enhance sleep quality within a recommended range could be a promising strategy for mitigating the risk of hypertension.

Polysomnographic Findings into Sleep Disorders in Essential Tremor and Essential Tremor Plus: A Comparison with Healthy Controls.

To explore sleep patterns in individuals with Essential Tremor (ET) and Essential Tremor Plus (ET-Plus), compared to healthy controls, and assess differences between ET and ET-Plus, given the lack of established polysomnography (PSG) data on these groups and the potential for sleep disturbances to serve as clinical markers. We conducted a prospective cross-sectional study at NIMHANS, Bengaluru, from November 2021 to August 2023 on 45 patients (26 ET, 19 ET-Plus) and 45 controls. Tremor severity was assessed using TETRAS and FTMTRS, and sleep symptoms with ESS, PSQI, Mayo Sleep Questionnaire, RLS-Q, BQ, GAD-7 and PHQ-9. All cases and controls underwent overnight video PSG. Sleep scoring was manually done by a technically adequate sleep researcher and the first author following AASM (2022) guidelines with data analysed using R studio. ET patients exhibited younger onset age (30.8 ± 16.7 years) compared to ET-Plus patients (46.8 ± 11.1 years). ET-Plus had higher TETRAS and FTMRS scores (P < 0.001) than ET. Both ET and ET-Plus patients exhibited poorer sleep quality, excessive daytime sleepiness, REM sleep behavior disorder (RBD), and Restless Legs Syndrome (RLS) symptoms compared to controls. PSG findings supported these clinical observations, showing elevated Apnea-Hypopnea Index (AHI), reduced Total Sleep Time (TST), prolonged REM latency, decreased sleep efficiency, increased N1 stage duration, and reduced N2/N3 durations and percentages in patients versus controls. The study highlights significant sleep architecture abnormalities in both ET and ET-Plus patients as compared to healthy controls, with no differences between the ET groups.

Penerapan Decision Trees dalam Mendeteksi Pola Tidur Sehat Berdasarkan Kebiasaan Gaya Hidup

A good sleep pattern is very important for our body's health both physically and mentally, while lifestyle habits such as physical activity and diet play a big role in influencing sleep quality. By using a decision tree, researchers aim to predict whether we have a healthy sleep pattern or not based on lifestyle. Healthy sleep patterns are regular and quality sleep habits to maintain our physical health. Healthy sleep patterns generally involve sleeping 8 hours – 9 hours per night, having a regular and consistent sleep time. The decision tree model was chosen because of the decision tree's ability to provide accurate predictions and produce rules that are easy to understand. This model can help us raise awareness of the importance of a healthy lifestyle in maintaining sleep quality.

Sleep quality in glaucoma patients

The purpose of this study is to objectively assess by polysomnography total sleep time and sleep macrostructure in glaucomatous versus non-glaucomatous individuals after adjusting for possible confounding factors affecting the quality of sleep. This is an observational, prospective, single-center, case-controlled study using a sleep research database (MARS e-Cohort) collecting clinical data, comorbidities, medications, and sleep studies of glaucomatous and non-glaucomatous individuals. The diagnosis of glaucoma was confirmed with a full comprehensive ophthalmological examination including a visual field test. Total sleep time and the main sleep parameters (time spent in stages 1, 2, 3 and 4, microarousals, apnea–hypopnea index, and indices of hypoxic burden) were compared in glaucomatous and non-glaucomatous individuals after adjusting for age, anthropometric data, and comorbidities. The study included 33 glaucomatous and 66 non-glaucomatous individuals. The median total sleep time was 325 min [273; 398] for the control group and 311 min [244; 349] for the glaucoma group. After adjusting for the potential confounding factors, there was no significant difference in total sleep time (p = 0.3) and other sleep parameters between the control group and the glaucoma group. The sleep macrostructure was comparable in the glaucomatous and non-glaucomatous individuals after careful adjustment for confounders.

The interplay among sleep patterns, social habits, and environmental cues: insights from the Spanish population and implications for aligning daily rhythms.

The interplay among sleep patterns, social habits and environmental cues is becoming increasingly more important for public health and wellbeing due to its connection to circadian desynchronization. This paper explores said connections in Spain (which has an official and solar time mismatch), introducing the "Three Times Score" ‒which is based on questions widely used in the field‒ as a complementary tool for exploring the interplay of daily rhythms. The questionnaire covers sleep-related habits, social time, and environmental time. The study includes 9,947 participants (34.89 ± 12.15 y/o, mean ± SD; 5,561 women) from different Spanish regions. Sleep parameters were obtained for work and free days, as well as a modified version of the sleep-corrected midsleep on free days (MBFbc) and a parameter similar to social jet lag, both derived from bed time rather than sleep time. A number of indexes were computed to compare bed and work-related habits, together with natural light/dark cycle, along with the Three Times Score. Mixed-effect regression analysis was used to test whether the biological, social and environmental factors included in the study significantly predicted the sleep-related parameters: bedtime, wake-up time, time in bed and mid-bedtime. Temporal differences were found between work and free days, with waking-up occurring 2 h earlier on work days (7:10 ± 0:01) than on free days (9:15 ± 0:01). Bed times were 1 h earlier on work days (23:46 ± 0:01) than on free days (00:45 ± 0:01), whereas time in bed was over 1 h shorter on work (7 h 23 min) versus free (8 h 29 min) days. Strong correlations were found between work starting time and waking-up and bedtimes on workdays. Women went to bed earlier and woke up later, spending more time in bed. Differences in sleep habits were observed between work and free days across all age groups. The group of younger adults (18-30) reported going to bed later than older and younger groups, especially on free days. Adolescents and young adults also woke-up later than other age groups, especially on free days. Social jet lag (relative to bed time) and desynchronization indexes also varied with age, with younger adult participants exhibiting higher levels. Seasonal differences were limited, with minor variations between winter and summer. According to the multiple regression analysis, social (day type, work start time, alarm clock usage), biological (age, gender, in most cases related to sex) and environmental (sunset time) factors significantly contribute to predicting sleep/bed related schedules. This study provides insights into sleep habits in the Spanish population, introducing the Three Times Score as a complementary tool for exploring the interactions between sleep/bed-related habits, natural darkness and work-related schedules. Understanding this interplay is crucial for developing tailored interventions to improve sleep and wellbeing.

Short Sleep Duration and Hypertension: A Double Hit for the Brain.

Short sleep duration has been associated with an increased risk of cognitive impairment and dementia. Short sleep is associated with elevated blood pressure, yet the combined insult of short sleep and hypertension on brain health remains unclear. We assessed whether the association of sleep duration with cognition and vascular brain injury was moderated by hypertensive status. A total of 682 dementia-free participants (mean age, 62±9 years; 53% women) from the Framingham Heart Study completed assessments of cognition, office blood pressure, and self-reported habitual and polysomnography-derived sleep duration; 637 underwent brain magnetic resonance imaging. Linear regressions were performed to assess effect modification by hypertensive status on total sleep time (coded in hours) and cognitive and magnetic resonance imaging outcomes. There was a significant interaction between sleep duration and hypertensive status when predicting executive function/processing speed (Trail Making B-A) and white matter hyperintensities. When results were stratified by hypertensive status, longer sleep duration was associated with better executive functioning/processing speed scores in the hypertensive group (meaning that shorter sleep duration was associated with poorer executive function/processing speed scores) (self-report sleep: β=0.041 [95% CI, 0.012-0.069], P=0.005; polysomnography sleep: β=0.045 [95% CI, 0.002-0.087], P=0.038), but no association was observed for the normotensive group. Similarly, shorter subjective sleep duration was associated with higher white matter hyperintensity burden in the hypertensive group (β=-0.115 [95% CI, -0.227 to -0.004], P=0.042), but not in the normotensive group. In individuals with hypertension, shorter sleep duration was associated with worse cognitive performance and greater brain injury.

Reliability of 24-h measurement of physical activity, sleep, and sedentary time in adult patients with asthma using a triaxial accelerometer

Objective Physical activity (PA), sleep, and sedentary time (SST) are important outcomes to monitor and to improve as part of patients’ asthma management. This study aimed to assess the number of measurement days needed to reliably measure PA and SST. Secondly, the influence of external factors on the reliability of measuring PA and SST was studied. Methods Adult patients with stable asthma were asked to wear a triaxial accelerometer for at least four days, with at least 22.5 h of wear time per day. The Intraclass Correlation Coefficients (ICCs) between different number of measurement days were used to determine reliability. Values ≥0.75 indicated good reliability. Results: Data from 452 patients were analyzed (63% women; age: 49 ± 16 years; FEV1: 87 ± 17% predicted). PA could reliably be measured with four valid measurement days (ICC 0.761). For SST, three days were needed (ICC 0.778). In summer and autumn, three days were needed to reliably measure PA, in winter four, in spring six. For SST, five days were needed in spring for good reliability, and two in all other seasons. Conclusion: Based on data from four valid days, PA and SST can reliably be measured with an accelerometer in patients with asthma. Seasonal influences are present, especially during spring. When measuring for four days, using only weekdays or three weekdays and one weekend day is recommended. The degree of asthma control, dyspnea or spirometric values did not influence the reliability.

A replicate crossover trial on the inter-individual variability of sleep indices in response to acute exercise undertaken by healthy men.

Using the necessary replicate-crossover design, we investigated whether there is inter-individual variability in home-assessed sleep in response to acute exercise. Eighteen healthy men (mean(SD): 26(6) years) completed two identical control (8-h laboratory rest, 08:45-16:45) and two identical exercise (7-h laboratory rest; 1-h laboratory treadmill run [62(7)% peak oxygen uptake], 15:15-16:15) trials in randomised sequences. Wrist-worn actigraphy (MotionWatch 8) measured home-based sleep (total sleep time, actual wake time, sleep latency, sleep efficiency) two nights before (nights 1-2) and three nights after (nights 3-5) the exercise/control day. Pearson's correlation coefficients quantified the consistency of individual differences between the replicates of control-adjusted exercise responses to explore: (1) immediate (night 3 minus night 2); (2) delayed (night 5 minus night 2); and (3) overall (average post-intervention minus average pre-intervention) exercise-related effects. Within-participant linear mixed models and a random-effects between-participant meta-analysis estimated participant-by-trial response heterogeneity. For all comparisons and sleep outcomes, the between-replicate correlations were non-significant, ranging from trivial-to-moderate (r range = -0.44 to 0.41, P≥0.065). Participant-by-trial interactions were trivial. Individual differences SDs were small, prone to uncertainty around the estimates indicated by wide 95% confidence intervals and did not provide support for true individual response heterogeneity. Meta-analyses of the between-participant, replicate-averaged condition effect revealed that, again, heterogeneity (τ) was negligible for most sleep outcomes. Control-adjusted sleep in response to acute exercise was inconsistent when measured on repeated occasions. Inter-individual differences in sleep in response to exercise were small compared to the natural (trial-to-trial) within-subject variability in sleep outcomes.

One Year Follow-Up Assessment of Impact of Rigorous Diet Regimen and Adequate C-PAP Therapy on Obese Patients with Obstructive Sleep Apnea Syndrome: A Retrospective Study.

Background/Objectives: This study evaluated the impact of continuous positive airway pressure (C-PAP) therapy combined with a rigorous diet regimen on obese patients with obstructive sleep apnea syndrome (OSAS). Methods: Sixty obese patients (BMI ≥ 30) diagnosed with severe OSAS were recruited in order to establish the evaluation of CPAP therapy with different extents of adherence to a rigorous diet regimen. After one year, significant improvements were observed. Results: BMI reduced by 12.32%, apnea-hypopnea index (AHI) by 22.04%, oxygen desaturation index (ODI) by 15.87%, total sleep time with oxygen saturation below 90% (TST90%) by 25.2%, and Epworth Sleepiness Scale (ESS) scores by 21.74%. Patients were, then, divided into three groups, based on adherence to the restricted diet, as well as to the correct use of the nocturnal C-PAP, showing different reductions in BMI, AHI, ODI, TST90%, and ESS, according to their adherence, based on the sum of % reduction in BMI + AHI into three groups. Conclusions: These findings underscore the effectiveness of combining C-PAP therapy with a strict diet in improving OSAS symptoms and overall health in obese patients. Future studies with larger cohorts and longer follow-up periods are needed to confirm these results and explore the long-term benefits of this integrated approach.

Comparison of the anesthetic effects of remimazolam tosilate and remimazolam besylate in daytime hysteroscopic surgery

ObjectiveThe purpose of this study is to observe whether there is a difference in the anesthetic effect of remimazolam tosilate and remimazolam besylate in daytime hysteroscopic surgery, so as to provide reference for clinical application.MethodsFifty patients, aged 18–65 years, ASA I-II, scheduled for hysteroscopy under total intravenous anesthesia were selected. The patients were randomly divided into two groups (n = 25): remimazolam tosilate group (group T) and remimazolam besylate group ( group R). The main observation index was the induction dose of remimazolam; secondary observation indicators were sleep time, anesthesia maintenance time, recovery time, induction maintenance dose of alfentanil, maintenance dose of remimazolam, and incidence of adverse events during anesthesia ( hypertension, hypotension, bradycardia, tachycardia).ResultsThere was no significant difference in anesthesia induction dose, recovery time, sleep time, anesthesia maintenance time, and incidence of adverse events during anesthesia ( body movement, cough, hypertension, hypotension, bradycardia, tachycardia) between the two groups (P > 0.05).ConclusionThere was no significant difference in the anesthetic effect of remimazolam tosilate and remimazolam besylate in daytime hysteroscopic surgery.Clinical trial RegistrationChinese Clinical Trial Registry, ChiCTR2400081688.

Sleep disturbances in anorexia nervosa.

Sleep is crucial for physical and psychological health, and disturbances are closely linked to psychiatric disorders, making their management essential for improving treatment outcomes and preventing relapse. Although sleep disturbances are implicated in psychopathology of eating disorders, its role in anorexia nervosa (AN) remains unclear. This review aimed to characterise sleep in AN. A systematic search was conducted in four scientific databases, including papers from inception to 25 May 2024. A machine learning algorithm (ASReview) was utilised to screen titles and abstracts for eligibility. Sleep quantity, architecture, and quality were investigated. Meta-analyses were conducted to investigate the difference between patients with AN and healthy controls (HC) in total sleep time (TST), wake after sleep onset (WASO), sleep onset latency (SOL), sleep efficiency, Sleep Stage 1, 2, slow wave sleep, rapid eye movement (REM) sleep and REM latency. Certainty of evidence was assessed using the GRADE approach. Out of 67 potentially eligible papers, 31 were included in this review, with 15 in the meta-analyses. Statistically significant average mean differences were found for TST (-32.1min [95% CI: -50.9, -13.4]), WASO (19.0min [95% CI: -2.4, 40.3]), and sleep efficiency (-4.4% [95% CI: -7.9, -0.9]). Additionally, Sleep stage 1 was significantly increased (2.4% [95%-CI: 0.05, 4.7]), while REM sleep was reduced (-2.1% [95%-CI: -4.2, -0.02]). Subgroup analysis showed that TST and WASO did not improve significantly after weight restoration. Sleep in patients with AN is impaired, with lower TST and sleep efficiency, higher WASO, more time in stage 1 sleep, and less in REM. Weight restoration alone may not improve sleep. While more research is needed, substantial accompanying sleep disturbances in AN justifies addressing these in current treatment practice, also because of the chronic character of AN and importance of sleep for long term (mental) health.

Sleep timing and the prevalence of hypertension in middle-aged and older populations: the sleep heart health study

ObjectivesSleep characteristics such as duration, continuity, and irregularity are associated with the risk of hypertension. This study aimed to investigate the association between sleep timing (including bedtime, wake-up time, and sleep midpoint) and the prevalence of hypertension.MethodsParticipants were selected from the Sleep Heart Health Study (n = 5504). Bedtime and wake-up times were assessed using sleep habit questionnaires. The sleep midpoint was calculated as the halfway point between the bedtime and wake-up time. Restricted cubic splines and logistic regression analyses were performed to explore the association between sleep timing and hypertension.ResultsA significant nonlinear association was observed between bedtime (Poverall<0.001; Pnonlinear<0.001), wake-up time (Poverall=0.024; Pnonlinear=0.076), sleep midpoint (Poverall=0.002; Pnonlinear=0.005), and the prevalence of hypertension after adjusting for potential confounders. Multivariable logistic regression showed that both late (> 12:00AM and 23:01PM to 12:00AM) and early (≤ 22:00PM) bedtimes were associated with an increased risk of hypertension compared to bedtimes between 22:01PM and 23:00PM. In addition, individuals with late (> 7:00AM) and early (≤ 5:00AM) wake-up times had a higher prevalence of hypertension than those with wake-up times ranging between 5:01AM and 6:00AM. Delaying the sleep midpoint (> 3:00AM) was also associated with an increased risk of hypertension. Furthermore, no significant interaction effect was found in the subgroup analyses stratified by age, sex, or apnea-hypopnea index.ConclusionsOur findings identified a nonlinear association between sleep timing and hypertension. Individuals with both early and late sleep timing had a high prevalence of hypertension.

Lifestyle Behaviours in Pre-Schoolers from Southern Spain-A Structural Equation Model According to Sex and Body Mass Index.

The present study aimed to examine the relationship between screen time (ST), sleep time (SLT), physical fitness (PF), Mediterranean diet (MD) adherence, eating behaviours, and body mass index (BMI) in a sample of pre-schoolers from Granada (Spain). In order to address this aim, an explanatory model was developed to examine existing relationships between ST, SLT, PF, MD, pro-intake (PRO-I) and anti-intake (ANT-I) behaviours, and BMI. Further, the proposed structural model was examined via multi-group analysis as a function of sex and BMI. A cross-sectional study was conducted with 653 three- to six-year-old pre-schoolers attending 18 different schools invited to take part in the present study. Structural equation modelling (SEM) was employed to analyse relationships between study variables as a function of sex and BMI. SEM analysis revealed negative associations between ST and PF (p < 0.005), ST and MD adherence (p < 0.005), ST and SLT (p < 0.005), MD adherence and ANT-I behaviours (p < 0.005), and MD adherence and BMI (p = 0.033). In contrast, positive associations emerged between SLT and MD adherence (p < 0.005), and PRO-I behaviours and BMI (p < 0.005). SEM revealed differences according to sex and BMI. The study highlights significant relationships between lifestyle behaviours and physical and dietary outcomes in pre-schoolers from southern Spain, with variations based on sex and BMI. These findings suggest the need for interventions aimed at reducing ST and promoting better sleep, PF, and dietary habits in order to limit weight-related and general health risks in pre-schoolers from southern Spain.

Chronotype, sleep hygiene, and sleep characteristics among athletes of different disciplines.

The objective of the study was to assess chronotype, sleep hygiene, and sleep characteristics of Italian athletes in order to identify differences among sport disciplines (team- vs individual-sports), level of competition (Elite vs Non-Elite) and sexes. Moreover, correlations between chronotype, sleep hygiene and sleep quality were evaluated. Two hundred eighty Italian athletes (Females:113; Males:167) participated in the study. They completed the Pittsburgh Sleep Quality Index (PSQI), the Sleep Hygiene Index (SHI) and the MorningnessEveningness Questionnaire (MEQ). Among the athletes, 66.4% were intermediate-type, 21.8% were morning-type and 11.8% were evening-type. 55.4% of the sample was classified as good sleeper (PSQI<5), while 16.1% had poor sleep hygiene (SHI≥35). Females had higher total sleep time (p=0.022) than males. Individual-sports showed more morning-oriented score (p=0.001) and lower PSQI (p=0.006) and SHI (p<0.001) scores, with earlier timing of sleep (bedtime:p<0.001; wake-up time:p<0.001) compared to teamsports. Elite athletes exhibited greater sleep efficiency (p=0.009), and lower sleep latency (p=0.018) and wake after sleep onset (p=0.043) than Non-Elite athletes. Additionally, significant correlations were found between PSQI and SHI (r=0.43, p<0.001), and between MEQ and SHI (r=-0.35, p<0.001). This study yields crucial insights into the sleep behaviors of Italian athletes, revealing that nearly half of the sample were bad sleepers.

The Impact of Sleep Deprivation on Video Head Impulse Test Results.

To investigate the association between sleep deprivation and vestibular dysfunction by Video Head Impulse Test (vHIT). This prospective clinical trial explores the impact of acute sleep deprivation on the vestibular-ocular reflex (VOR) in medical residents. The study involved healthy physicians from diverse medical disciplines. Participants underwent vHIT assessments before and after a 26-h shift. The examinations focused solely on the right lateral semicircular canal. Participants further completed a demographics and fatigue questionnaire, including the Fatigue Severity Scale (FSS) questionnaire and a Visual Analog Fatigue Score (VAFS). The study involved 30 medical residents. Participants experienced a statistically significant decrease in VOR gain in the right horizontal semicircular canal during a 26-h shift (p < 0.01). While the FSS and VAFS questionnaires showed no significant difference before and after the shift, the analysis of ∆VOR gain indicated a statistically significant increase associated with decreased sleep time during the shift (p = 0.018, 95% Confidence Interval [0.08, 0.68]). The most substantial increase in ∆VOR occurred between 22-26 h of sleep deprivation. No significant differences were observed in ∆VOR between genders, ages, disciplines, department shifts versus emergency room shifts, or years of residency. vHIT can be used as an objective, reliable screening tool for severe sleep deprivation among physicians. The decrease in the VOR gain may indicate that vestibular function is influenced by sleep deprivation. The clinical significance of these findings is still questioned, more studies may help to assess this effect. 3 Laryngoscope, 2024.