Nature and Science of Sleep最新文献

Purpose: The Pre-Sleep Arousal Scale (PSAS) is a well-recognized instrument utilized for measuring cognitive and somatic arousal before sleep. Although the PSAS is useful, an Arabic version of the scale has not yet been developed and validated. The current study aimed to translate the PSAS into Arabic language and evaluate its psychometric properties, such as reliability and validity, in an Arabic-speaking population.

Patients and methods: A cross-sectional survey was conducted with 438 participants who completed the Arabic version of the PSAS, along with other validated measures of insomnia, anxiety, and sleep effort.

Results: The results indicated that the Arabic version of the PSAS maintained the original scale's two-factor structure. The factor loadings for PSAS-Cognitive ranged from 0.57 to 0.75, and for PSAS-Somatic, from 0.45 to 0.70, with all loadings being statistically significant (p < 0.001). The Arabic version of the PSAS exhibited high internal consistency (McDonald's ω = 0.86; Cronbach's α = 0.86; Guttman's λ2 = 0.86; Greatest Lower Bound = 0.90) and test-retest reliability (ICC = 0.88) over two weeks. The PSAS demonstrated good concurrent and convergent validity. We documented significant large differences between individuals with "no insomnia" and those with "insomnia" symptoms across cognitive, somatic, and total pre-sleep arousal (all p <0.001). The insomnia group consistently scored higher scores for PSAP and its subscales.

Conclusion: These findings suggest that the Arabic version of the PSAS is a reliable and valid tool for assessing pre-sleep arousal in Arabic-speaking individuals.

Purpose: To describe the sleep habits (bedtime hours, waking hours, sleep duration) and to assess the prevalence of sleep disturbances (acute and chronic insomnia, insufficient sleep, perceived sleep debt) among French healthcare workers.

Participants and methods: Nurses and assistant nurses working in public hospitals from the Loire department at different work schedules (2x12h, 2x8h, fixed daytime, fixed nighttime) were asked about their socioprofessional and demographic information, their sleep habits and disturbances during night shifts, and the acceptability of a 20-min nap opportunity.

Results: A total of 297 healthcare workers completed the survey with 76% reporting a sleep debt with a lower prevalence for fixed nighttime workers (62%) and a higher prevalence for 2x12 h (84%) workers. The prevalence of acute insomnia was 76% with a significant difference between fixed nighttime (60%) and 2x12 h (82%); whereas the prevalence of chronic insomnia was 35% without any significant difference between working schedules. Moreover, 18% of healthcare workers reported excessive daytime sleepiness, while 13% admitted to using sleep medication at least once a week.

Conclusion: French healthcare workers reported poor sleep quality with a high prevalence of sleep debt, acute and chronic insomnia symptoms without an obvious impact of working schedules.

Background: Childhood obesity has become a global pandemic, leading to a range of diseases. Childhood obesity appears to be associated with an increased prevalence of sleep apnea syndrome. Sleep apnea is an inestimable risk factor for thrombosis, hypertension, cardiomyopathy and many other diseases. Therefore, exploring the relationship between childhood obesity and sleep apnea syndrome will help to understand the potential link between the two and provide research directions for future disease prevention and treatment. However, no studies have confirmed whether there is a causal relationship between childhood obesity and sleep apnea syndrome.

Methods: The IEU OpenGWAS project provided the GWAS-aggregated data for childhood obesity and sleep apnea syndrome. Inverse-variance weighted (IVW) was used as the main method to evaluate the causal relationship between childhood obesity and sleep apnea syndrome. Single nucleotide polymorphisms (SNPs) were regarded as instrumental variables, and the screening threshold was P <5.0×10^-6. Leave-one-out method was performed to confirm the robustness of the results.

Results: IVW analysis confirmed a causal relationship between genetic susceptibility to childhood obesity and an increased risk of sleep apnea syndrome [odds ratio (OR)=1.12, 95% confidence interval (CI): 1.02-1.23, P=0.016]. However, two-sample MR results also showed no causal relationship between genetic susceptibility to sleep apnea syndrome and an increased risk of childhood obesity (OR=1.50, 95% CI: 0.95-2.38, P=0.083). The intercept of MR-Egger regression was close to 0, which implies that there are no confounding factors in the analysis to affect the results of two-sample MR analysis. The leave-one-out results show that the bidirectional two-sample MR analysis results were robust.

Conclusion: There is a causal relationship between genetic susceptibility to childhood obesity and increased risk of sleep apnea syndrome. People with a history of childhood obesity should pay more attention to physical examination to early prevention and management of sleep apnea syndrome.

Purpose: This study aims to investigate the impact of anesthetic methods on the occurrence of postoperative sleep disorders in elderly patients following their discharge from the hospital for 3 months.

Patients and methods: This retrospective observational cohort study included elderly patients aged >60 years who had undergone general and regional anesthesia from 1 June 2023 to 31 December 2023. These patients were then assessed for sleep by telephone callback using the Athens Insomnia Scale after discharge from the hospital three months later. The duration of pain and sleep disturbance experienced by patients following discharge was also recorded.

Results: Following propensity score matching, 308 individuals were included in the study (154 in the GA group and 154 in the RA group). Compared with general anesthesia (11.7%), regional anesthesia (5.2%) reduced the prevalence of sleep disorders in elderly patients after discharge from the hospital. However, the duration of sleep disturbance and pain exhibited no statistically significant difference between the two groups (p=0.818; p=0.211).

Conclusion: Regional anesthesia was associated with a reduction in the incidence of sleep disorders in elderly patients after discharge from the hospital for 3 months.

Background: Sleep disorders and low grip strength often co-occur clinically and are geriatric symptoms that cause significant socioeconomic burden. Previous observational studies have found an association between sleep behaviors and grip strength, but the causal relationship remains unclear.

Purpose: With the Mendelian randomization (MR) approach, the study aimed to determine the causal association between sleep traits (sleep duration, insomnia, daytime napping, sleep-wake disorders, chronotype) and low grip strength.

Methods: The study used genetic variants from the genome-wide association study (GWAS) archived in UK Biobank and FinnGen. We assessed the potential causal relationship between sleep behaviors and grip strength using inverse variance weighting (IVW), weighted median (WM), and MR-Egger. Additionally, we performed sensitivity analyses using Cochran's Q test, MR Egger Intercept test, funnel plots, and leave-one-out method.

Results: We found that sleep duration is causally negatively associated with low grip strength (OR = 0.618, 95% CI = 0.424-0.900, P = 0.012). Sleep-wake disorders have a positive association with low grip strength (OR = 1.018, 95% CI = 1.002-1.034, P = 0.029). Reversely, high low grip strength risk was causally associated with increased daytime napping (OR = 1.018, 95% CI = 1.004-1.032, P = 0.011).

Conclusion: The study revealed causal associations between sleep duration, sleep-wake disorders, and low grip strength. Understanding their relationship helps in early clinical intervention to improve the life quality of the elderly.

Sepsis is defined as life-threatening organ injury induced by infection, with high incidence and mortality. Sleep disorder is prevalent in septic patients and approximately 50% of patients with sepsis may develop atypical sleep patterns, but many of them may have been underdiagnosed by physicians. Sleep disorders and sepsis exhibit a close bidirectional relationship, with each condition significantly influencing the other. Conversely, sleep deprivation, sleep dysrhythmia and sleep fragmentation have been shown to impact the outcome of sepsis. This review endeavors to offer a comprehensive understanding of the intricate mechanisms that underpin the interplay between sepsis and sleep disorders, in addition to exploring potential clinical intervention strategies that could enhance outcomes for patients suffering from sepsis.

Purpose: Many shift nurses experience poor sleep quality, and the effect on nurses' cognitive function remains unclear. The study aims to investigate sleep status and explore its association with cognitive function.

Methods: This descriptive cross-sectional study was conducted in a tertiary care hospital in Fujian, China between March and September 2022. By convenience sampling method, 588 shift nurses participated in this study. The Pittsburgh Sleep Quality Index (PSQI) and Bergen Shift Work Sleep Questionnaire (BSWSQ) were used to assess sleep quality, while the Chinese version of Ascertain Dementia-8 (AD-8) was used to evaluate cognitive function. A PSQI score ≤7 is classified as good sleep quality, and a score >7 indicates poor sleep quality. An AD-8 score≥ 2 is considered indicative of memory impairment. Multivariate logistic regression analysis was conducted to explore the association between sleep status and memory impairment.

Results: A total of 310 (52.6%) participants presented poor sleep quality. Among them, 52.2% of participants had day shift-related sleep problems, 45.9% had evening shift-related sleep problems, 61.9% had night shift-related sleep problems, and 15.0% reported rest-day/vacation-related sleep problems. The prevalence of poor sleep quality and each shift-related sleep problem in the memory impairment group were higher than in the normal memory group (P<0.05). Multivariate logistic regression analysis indicated that poor sleep quality (OR=2.073, 95% CI: 1.398~3.072), evening shift-related sleep problems (OR=1.707, 95% CI: 1.028~2.835), night shift-related sleep problems (OR=1.859, 95% CI:1.104~3.129), and rest-day/vacation-related sleep problems (OR=2.069, 95% CI:1.170~3.659) was significantly associated with memory impairment.

Conclusion: This study highlights the prevalence of poor sleep quality among clinical nurses and identifies poor sleep quality and shift-related sleep problems (excluding day shift) as risk factors for memory impairment. Nurse managers should prioritize sleep quality and focus on cognitive function to enhance nurses' occupational health.

Objective: To investigate the effects of sleep quality, sleep deprivation, and napping on facial emotion recognition (FER) accuracy and speed.

Methods: This research included a cross-sectional study (102 qualified participants) and a randomized controlled study (26 in the napping group and 24 in the control group). The stimuli for the FER task were obtained from the Chinese Facial Affective Picture System (CFAPS). Four facial expressions (fearful, disgusted, sad, and angry) were used. The Pittsburgh Sleep Quality Index (PSQI), Self-Rating Anxiety Scale, and Self-Rating Depression Scale were used to measure participants' sleep quality and psychological conditions. In Study 1, FER ability was compared between good and poor sleepers. In Study 2, all participants were sleep-deprived for one night, and completed the FER task before and after sleep deprivation. After different interventions (ie, napping for one hour, or walking around for ten minutes), the participants completed the third FER task.

Results: Study 1: Poor sleepers were able to recognize sad expressions more accurately compared with good sleepers. Study 2: 30-h sleep deprivation had no significant effect on the accuracy (ACC). Napping after sleep deprivation improved the FER ACC of upper-face expressions and marginally significantly improved the FER ACC of disgusted expressions.

Conclusion: Better sleep quality was linked to lower FER accuracy, particularly in recognizing sad expressions, while no significant differences in recognition speed were observed. Additionally, 30 hours of sleep deprivation did not affect FER accuracy, but napping after sleep deprivation improved accuracy for upper-face and marginally for disgusted expressions.

Purpose: Cardiovascular disorders are the leading cause of mortality worldwide with obstructive sleep apnea (OSA) as the independent risk factor. Heart sounds are strong modalities to obtain clinically relevant information regarding the functioning of the heart valves and blood flow. The objective of this study was to use a small wearable device to record and investigate the changes in heart sounds during respiratory events (reduction and cessation of breathings) and their association with oxyhemoglobin desaturation (hypoxemia).

Patients and methods: Sleep assessment and tracheal respiratory and heart sounds were recorded simultaneously from 58 individuals who were suspected of having OSA. Sleep assessment was performed using in-laboratory polysomnography. Tracheal respiratory and heart sounds were recorded over the suprasternal notch using a small device with embedded microphone and accelerometer called the Patch. Heart sounds were extracted from bandpass filtered tracheal sounds using smoothed Hilbert envelope on decomposed signal. For each individual, data from 20 obstructive events during Non-Rapid Eye Movement stage-2 of sleep were randomly selected for analysis.

Results: A significant increase in heart sounds' intensities from before to after the termination of respiratory events was observed. Also, there was a significant positive correlation between the magnitude of hypoxemia and the increase in heart sounds' intensities (r>0.82, p<0.001). In addition, the changes in heart sounds were significantly correlated with heart rate and blood pressure.

Conclusion: Our results indicate that heart sound analysis can be used as an alternative modality for assessing the cardiovascular burden of sleep apnea, which may indicate the risk of cardiovascular disorders.

Objective: Our research explores how leisure-time sedentary behavior (SB) correlates with stroke risk. Additionally, we utilize the isotemporal substitution model (ISM) to examine how replacing brief durations of leisure-time SB with light physical activity (LPA), moderate physical activity (MPA), vigorous physical activity (VPA), and sleep might influence the risk of stroke.

Methods: This investigation tracked 478,198 participants from the UK Biobank. Data regarding individual leisure-time SB and PA were collected through a standardized questionnaire. A Cox proportional hazards model, alongside an isotemporal substitution model (ISM), was utilized.

Results: We identified 10,003 cases of incident stroke over 12.7 years. When compared to participants who engaged in leisure-time SB for less than 4 hours per day, the hazard ratios (HRs) for stroke incidence increased with more prolonged leisure-time SB: HRs were 1.06 (95% CI: 1.01 to 1.11) for 4-6 h/d, 1.16 (95% CI: 1.10 to 1.23) for 6-8 h/d, and 1.24 (95% CI: 1.15 to 1.33) for over 8 h/d. According to the ISM analysis, substituting leisure-time SB with various forms of PA could markedly reduce stroke risk. For individuals sleeping ≤8h/d, replacing one hour of leisure-time SB with an equivalent duration of LPA, VPA, or sleep corresponded to a 3.0%, 7.0%, and 22.0% decrease in stroke risk, respectively. Meanwhile, for those already sleeping more than 8h/d, substituting one hour of leisure-time SB with an equivalent duration of LPA or VPA resulted in a notable decrease in the risk of stroke by 6.0% and 18.0%, respectively.

Conclusion: The findings demonstrate that leisure-time SB and unhealthy sleep durations are confirmed risk factors for stroke. For individuals sleeping 8 hours or less per day, and for those who sleep more than 8 hours, substituting SB with an adequate amount of sleep or engaging in VPA, respectively, emerges as an effective strategy for reducing stroke risk.