BACKGROUND: The association between the length of sleep and atherosclerosis has been reported in many observational studies. However, little is known about its significance as a risk factor for atherosclerosis or as a negative consequence of atherosclerosis.
OBJECTIVE: This study aimed to assess the causal association between sleep duration and the risk of atherosclerosis using publicly available genome-wide association studies (GWAS) summary statistics.
METHODS: We employed a two-sample Mendelian randomization (MR) method with 2 cohorts from MRC-IEU (n=460,099) and UK Biobank (n=361,194) to investigate the causal association between sleep duration and the risk of atherosclerosis. Three methods including the inverse-variance weighted (IVW) technique, Robust adjusted profile score (RAPS), and simple-and weighted-median approach were used to obtain reliable results, and an odds ratio with a 95% confidence interval (CI) was calculated. P<0.05 was considered as a statistical difference. In addition, MR-Egger regression, Radial MR, MR-PRESSO, and leave-one-out analyses were used to assess the possible pleiotropy effects.
RESULTS: No causal association of sleep duration with atherosclerosis was found [OR (95%CI): 0.90 (0.98-1.00), p = 0.186]. Leave-one-out, MR-Egger, and MR-PRESSO analyses failed to detect horizontal pleiotropy.
CONCLUSIONS: This MR analysis indicated no causal association between genetically predicted sleep duration and atherosclerosis across European populations.
OBJECTIVE: A associação entre a duração do sono e a aterosclerose foi relatada em muitos estudos observacionais. No entanto, pouco se sabe sobre a sua importância como fator de risco para aterosclerose ou como consequência negativa da aterosclerose.
OBJECTIVE: Este estudo teve como objetivo avaliar a associação causal entre a duração do sono e o risco de aterosclerose usando estatísticas resumidas de estudos de associação genômica ampla (GWAS) disponíveis publicamente.
UNASSIGNED: Empregamos um método de randomização mendeliana (RM) de duas amostras com 2 coortes do MRC-IEU (n = 460.099) e do UK Biobank (n = 361.194) para investigar a associação causal entre a duração do sono e o risco de aterosclerose. Três métodos, incluindo a técnica de variância inversa ponderada (IVW), escore de perfil ajustado robusto (RAPS) e abordagem de mediana simples e ponderada, foram usados para obter resultados confiáveis, e uma razão de chances com intervalo de confiança (IC) de 95% foi calculada. P<0,05 foi considerado diferença estatística. Além disso, foram utilizadas análises de regressão: MR-Egger regression, Radial MR, MR-PRESSO e leave-one-out para avaliar os possíveis efeitos de pleiotropia.
RESULTS: Não foi encontrada associação causal entre duração do sono e aterosclerose [OR (IC95%): 0,90 (0,98-1,00), p = 0,186]. As análises Leave-one-out, MR-Egger, e MR-PRESSO não conseguiram detectar pleiotropia horizontal.
UNASSIGNED: Esta análise de RM não indicou nenhuma associação causal entre a duração do sono geneticamente prevista e a aterosclerose nas populações europeias.

OBJECTIVE: Although sleep duration and sleep quality are considered to be significant factors associated with epilepsy and seizure risk, findings are inconsistent, and their joint association remains uncertain. This study aimed to determine independent and joint associations of these two modifiable sleep features with seizure recurrence risk in newly treated patients with epilepsy (PWE).
METHODS: This is a prospective cohort study of newly treated PWE at a comprehensive epilepsy center in northeast China between June 2020 and December 2023. Self-reported sleep duration and sleep quality were collected at baseline. All patients were followed for 12 months for recurrent seizures. Cox proportional hazard regression models were used to estimate the hazard ratios (HRs) of seizure recurrence. Models fitted with restricted cubic spline were conducted to test for linear and nonlinear shapes of each association.
RESULTS: A total of 209 patients were included, and 103 experienced seizure recurrence during follow-up. Baseline short sleep was significantly associated with greater risk of seizure recurrence (adjusted HR = 2.282, 95% confidence interval [CI] = 1.436-3.628, p < .001). Sleep duration (h/day) and recurrent seizure risk showed a significant nonlinear U-shaped association, with a nadir at 8 h/day. Baseline poor sleep quality was significantly associated with greater risk of seizure recurrence (adjusted HR = 1.985, 95% CI = 1.321-2.984, p < .001). Pittsburgh Sleep Quality Index score and seizure recurrence risk exhibited a positive linear association. Participants with a combination of poor quality-short sleep showed the highest risk of seizure recurrence (adjusted HR = 3.13, 95% CI = 1.779-5.507, p < .001) compared to the referent good quality-intermediate sleep group.
CONCLUSIONS: Baseline sleep duration and sleep quality were independently and jointly associated with risk of seizure recurrence in newly treated PWE. Our results point to an important potential role of baseline sleep duration and sleep quality in shaping seizure risk.

BACKGROUND: Previous intervention studies among night workers mainly focused on single interventions and found inconclusive evidence for effectiveness. A comprehensive intervention approach that includes individual and environmental components has been argued as important. Gaining insight into contributing factors for the implementation of interventions for night workers and effectiveness is important to distinguish between theory and programme failure.
OBJECTIVE: To evaluate the effects and implementation of the PerfectFit@Night intervention to improve sleep, fatigue and recovery of night workers in healthcare, using the RE-AIM framework, which assesses reach, effectiveness, adoption, implementation and maintenance of interventions.
METHODS: A prospective pre-post study design, with two measurements before and three and six months after the intervention.
METHODS: Twelve different departments of a university hospital in the Netherlands.
METHODS: Healthcare workers working night shifts (n = 210).
METHODS: PerfectFit@Night consisted of environmental (provision of a powernap bed and healthy food, and workshop healthy rostering) and individual elements (e-learning and sleep coaching) and was implemented for three months in a phased manner. Questionnaires, logbooks and interview data were used. Effects of the intervention on sleep, fatigue and recovery were evaluated with mixed-effects models, and implementation factors of reach, adoption, implementation and maintenance were evaluated.
RESULTS: Night shift-related insomnia (-11 %-points, 95 % CI: -19 %, -4 % at three months), need for recovery (β: -2.45, 95 % CI: -4.86, -0.03 at six months) and fatigue (OR: 0.46, 95 % CI: 0.25, 0.86 at six months) decreased significantly after the intervention. No changes were found for subjective sleep quality and sleep duration. Barriers and facilitators for implementation were identified for each intervention element at individual (e.g., dietary preferences), organisational (e.g., responsibilities at work) and workplace levels (e.g., location of power nap bed), and for the intervention itself (e.g., useful information in e-learning). Although satisfaction was high and continuation was preferred, embedding of the intervention in the daily routine was limited. Facilitators for future implementation include a positive attitude towards the intervention, clear guidelines regarding intervention elements, appointment of night workers as ambassadors, and suitable conditions in terms of work demands and for the intervention elements.
CONCLUSIONS: The multi-faceted PerfectFit@Night intervention reduced insomnia, fatigue and need for recovery in night workers in healthcare. The most important facilitators to improve the implementation of PerfectFit@Night exist at the organisational level (e.g., positive attitude within the culture and suitable work demands). Combining effect and implementation evaluation is crucial to identify barriers and facilitators that hamper or enhance intervention effects.
BACKGROUND: The study was registered in the Netherlands Trial Register on 17 January 2021 (trial number NL9224).

UNASSIGNED: With girls typically exhibiting higher rates of myopia than boys, however, the mechanisms behind this gender difference remain unclear. This study aims to investigate the gender disparities in the relationship between myopia, sleep duration, physical activity, and BMI.
UNASSIGNED: A total of 3138 primary and secondary school students were included. Mplus 8.3 was used to perform the multiple mediation analysis.
UNASSIGNED: Sleep duration was indicated to directly affect myopia (β=0.273, 95% CI=0.184-0.356) and through physical activity, BMI, physical activity and BMI three significantly mediation pathways, respectively. In terms of gender, the mediating direct effect of sleep duration on myopia of boys was 66.96%, which is much higher than that of girls\' 50.91%. And the mediating indirect effect of sleep duration on myopia through physical activity and BMI are 32.65% and 12.10% respectively among girls, both of which are significantly higher than that of boys.
UNASSIGNED: The study found that there are significant differences in the impact of sleep duration on myopia in children and adolescents of different genders. In this regard, while paying attention to the sleep duration of children and adolescents, special attention should also be paid to the indirect impact of girls\' physical activity and BMI on myopia, and targeted measures should be formulated according to children of different genders to effectively protect the eye health of children and adolescents.

BACKGROUND: The increased trends in psychological distress and mental illness have been of great significance in public health concerns. The study aimed to investigate the proportion and correlates of meeting 24-h movement guidelines (including moderate to vigorous physical activity, screen time and sleep duration) and the associations between 24-h movement guidelines met and mental well-being and psychological distress in a large sample of Chinese students.
METHODS: All participants received a physical examination and filled out questionnaires in this study. Chi-square tests were used to analyse the proportion of reaching 24-h guidelines by gender and logistic regression was used to analyse correlates of meeting 24-h guidelines. Two binary logistic regression models were used to analyse the association between meeting 24-h guidelines and mental well-being and psychological distress. The back-propagation artificial neural network was used to describe the importance of the independent variables.
RESULTS: The findings revealed a generally low rate of meeting the 24-h movement guidelines, particularly concerning moderate to vigorous physical activity (16.5%). Meeting all three guidelines was related to better mental health in both boys and girls. Particularly, meeting screen time guideline and meeting sleep duration guideline appeared to be more important on mental outcomes, compared to meeting moderate to vigorous physical activity guideline. Compared with boys, girls were more susceptible to the influences of 24-h movement guidelines on mental health.
CONCLUSIONS: Meeting all three components of the 24-h movement guidelines was associated with the most favourable mental health outcomes for both boys and girls. Thus, maintaining a daily balance of sufficient physical activity, limited screen time, and adequate sleep is crucial for enhancing the mental health status of students.

OBJECTIVE: Sleep is a multi-dimensional human function that is associated with cancer outcomes. Previous work on sleep and cancer mortality have not investigated how this relationship varies by sex and cancer site. We investigated the association of sleep duration and perceived insomnia with site-specific and overall cancer mortality among participants in the Cancer Prevention Study-II.
METHODS: Sleep was collected at baseline in 1982 among 1.2 million cancer-free US adults. Cancer-specific mortality was determined through 2018. We used multivariable Cox proportional hazard models to calculate hazard ratios and 95% confidence intervals for overall and site-specific cancer mortality, stratified by sex.
RESULTS: Among 983,105 participants (56% female) followed for a median of 27.9 person-years, there were 146,911 primary cancer deaths. Results from the adjusted model showed short (6 h/night) and long (8 h/night and 9-14 h/night) sleep duration, compared to 7 h/night, were associated with a modest 2%, 2%, and 5% higher risk of overall cancer mortality, respectively, and there was a significant non-linear trend (p-trend < 0.01). This non-linear trend was statistically significant among male (p-trend < 0.001) but not female (p-trend 0.71) participants. For male participants, short and long sleep were associated with higher risk of lung cancer mortality and long sleep was associated with higher risk of colorectal cancer mortality. Perceived insomnia was associated with a 3-7% lower risk of overall cancer mortality.
CONCLUSIONS: Sleep is important to consider in relation to sex- and site-specific cancer mortality. Future research should investigate other components of sleep in relation to cancer mortality.

UNASSIGNED: Gestational diabetes mellitus (GDM) is associated with several adverse maternal and neonatal outcomes. Previous studies reported a link between altered sleep and risk of GDM. This systematic review aims to collate evidence on the association between impaired sleep quality and duration, and the risk of GDM.
UNASSIGNED: PubMed, Embase, Web of Science, and Scopus databases were searched up to January 20, 2024. Studies reporting the association between impaired sleep quality and duration and risk of GDM were included. Sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI). Random-effects meta-analysis was performed, and the results were reported as hazard ratio (HR) with 95% confidence interval (CI).
UNASSIGNED: 19 studies were included. Meta-analysis revealed a significant increase in the risk of GDM in pregnant women with poor sleep quality (i.e. <5 PSQI) (HR: 1.50, 95% CI: 1.26 - 1.78, p < .001). Sleep duration of <7 h (HR: 1.56, 95% CI.: 1.20 - 2.01, p < .001), and >8 h (HR: 2.32, 95% CI.: 1.19 - 4.50, p = .01) were also associated with a significantly higher incidence of GDM.
UNASSIGNED: Sleep quality and duration emerge as critical risk factors of GDM. Healthcare practitioners should consider targeted interventions to improve sleep hygiene as a potential measure for GDM prevention.

UNASSIGNED: There is a strong association between obstructive sleep apnea and hypertension, but the effects of obstructive sleep apnea symptoms on the risk of incident hypertension are not well documented. The aim of this prospective study was to examine whether snoring and sleepiness are associated with incident hypertension.
UNASSIGNED: Data from the French population-based CONSTANCES cohort were analyzed. Normotensive participants, aged 18 to 69 years, were included between 2012 and 2016 and screened for snoring, morning fatigue, and daytime sleepiness in 2017 using items of the Berlin Questionnaire. We used Cox models, adjusted for multiple potential confounders, including body mass index, baseline blood pressure, sleep duration, and depressive symptoms, to compute hazards ratios of incidentally treated hypertension.
UNASSIGNED: Among 34 727 subjects, the prevalence of self-reported habitual snoring, morning fatigue, and excessive daytime sleepiness (≥3× a week for each) was 23.6%, 16.6%, and 19.1%, respectively. During a median follow-up of 3.1 years (interquartile range, 3.0-3.5), the incidence of treated hypertension was 4.1%. The risk of de novo treated hypertension was higher in participants who reported habitual snoring (adjusted hazard ratio, 1.17 [95% CI, 1.03-1.32]) and excessive daytime sleepiness (adjusted hazard ratio, 1.42 [95% CI, 1.24-1.62]), and increased with the weekly frequency of symptoms, with a dose-dependent relationship (Ptrend≤0.02 for all symptoms).
UNASSIGNED: Self-reported snoring and excessive daytime sleepiness are associated with an increased risk of developing hypertension. Identification of snoring and daytime sleepiness may be a useful public health screening tool in primary care for hypertension prevention.

BACKGROUND: Depression poses a significant challenge globally, including in safety-critical industries such as aviation. In Saudi Arabia, where the aviation sector is rapidly expanding, pilots encounter unique stressors inherent to their profession. However, research on pilot mental health, particularly within the Saudi context, remains limited despite its critical role in flight safety.
METHODS: This cross-sectional survey was designed to estimate the self-reported prevalence of depression in a convenience sample of airline pilots in Saudi Arabia. Participants were recruited from various commercial airlines in Saudi Arabia. Recruitment efforts utilized targeted outreach on social media platforms, focusing on pilot forums and groups. The survey was administered online for accessibility and convenience. The structured questionnaire, developed through a literature review and expert consultation, comprises sections on demographic and professional characteristics, occupational information, health habits, and depression assessment via the Patient Health Questionnaire-9 (PHQ-9).
RESULTS: This study enrolled 310 participants, with the largest cohort (34.8%, n = 108) falling within the 30-39 years age group, closely followed by individuals under 30 years (30.0%, n = 93). Males dominated the sex distribution (99.0%, n = 307). The mean PHQ-9 score was 8.2 ± 5.4. Notably, 40.6% (n = 126) of the participants had a score of 10 or higher, indicating the potential for moderate, moderate-severe, or severe depression. Multivariable binary logistic regression analysis revealed that pilots with 11-15 years of experience had greater odds of experiencing depression than did those with 0-10 years of experience did (odds ratio [OR]: 3.0, 95% confidence interval [CI]: [1.1-8.4], p = 0.04). Pilots with rest times exceeding 24 h had lower odds of depression than did those with rest times less than 1 h (OR: 0.3, 95% CI: [0.1-0.8], p = 0.02). Engaging in regular exercise was associated with reduced odds of depression (OR: 0.3, 95% CI: [0.2-0.5], p < 0.01), as was longer sleep duration (> 8 h) (OR: 0.2, 95% CI: [0.1-1.0], p = 0.04).
CONCLUSIONS: Our study estimates the prevalence and severity of self-reported depressive symptoms among airline pilots in Saudi Arabia, surpassing global estimates. The identified factors, including lack of regular exercise, short sleep duration, and insufficient rest between flights, underscore the complex mental health challenges faced by pilots in this region. Addressing these issues is crucial not only for pilot well-being but also for flight safety.

OBJECTIVE: This study aims to investigate the relationship between midday nap time, nighttime sleep duration, and mild cognitive impairment (MCI) in Chinese older adults and determine the recommended sleep duration to provide a scientific basis for preventing and managing MCI in this population.
METHODS: Utilizing the 2020 China Health and Retirement Longitudinal Study database, the demographic data, health status, and lifestyle information of the study participants were collected. A total of 5,314 valid samples were included in the analysis. Logistic regression and restricted cubic spline plots were employed to explore the relationship between sleep patterns and MCI.
RESULTS: In the cross-sectional analysis, a linear relationship was observed between midday nap duration and MCI among Chinese elderly. The probability of MCI was lowest among those who napped for less than 30 min at noon. Compared with individuals who napped for30-90 min, those who did not nap were more likely to have MCI (OR = 1.30, 95% CI: 1.05-1.60). Older adults with napping duration < 30 min (OR = 0.73, 95% CI:0.56-0.95) also exhibited lower probability of MCI when compared those without napping habit, Nighttime sleep duration exhibited a U-shaped relationship with MCI. Individuals with less than approximately 6 h of nighttime sleep showed a gradual decrease in the probability of MCI with increasing sleep duration, whereas those with more than 7.5 h demonstrated an increase in the probability of MCI with longer sleep duration. Older adults who slept less than 6 h at night (OR = 1.22, 95% CI: 1.01 ~ 1.46) or more than 8 h (OR = 1.78, 95% CI: 1.35-2.33) were more likely to develop MCI compared with those who slept 6 to 8 h.
CONCLUSIONS: After controlling for potential confounding variables, both nighttime sleep duration and midday nap duration exhibited a nonlinear \"U\"-shaped relationship with MCI among the elderly. The probability of depression was lower with a nap duration of approximately 60 min, and the optimal nighttime sleep duration was 6-8 h, with around 7 h providing the greatest cognitive benefits.