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Background: Among adolescents, symptoms of generalized anxiety disorder (GAD) and social anxiety disorder (SAD) are not only clinically significant but also continuingly increasing. During adolescence, individuals begin to establish distinct, self-determined lifestyle patterns. This study seeks to identify the associations between such lifestyle factors and the prevalence of GAD and SAD symptoms. Methods: The analyzable sample was based on a cross-sectional, nationally representative survey of Finnish 14–18 year old students from comprehensive schools, general upper secondary schools, and vocational institutions. The sample consisted of 60,252 boys and 71,118 girls, with the mean age of 16.05 years (standard deviation 1.06). Symptoms were identified using the GAD-7 (cutpoint of 10), the Mini-SPIN (cutpoint of 6), and the PHQ-2 (cutpoint of 3). Logistic regression models for both GAD and SAD symptoms were stratified by comorbidity group variables. Results: GAD symptoms were closely related to excessive internet use and decreased sleep duration among adolescents, regardless of comorbidity with depression or SAD. SAD symptoms were associated with excessive internet use and a lack of intense exercise, independent of comorbid depression or GAD. Conclusions: The findings underscore the importance of considering lifestyle factors when developing interventions to mitigate GAD and SAD symptoms in adolescents. Interventions and policy recommendations aiming at improving adolescents' health behaviour and mental health should take into account the intertwining of these factors. [ABSTRACT FROM AUTHOR]

Background: Studies have emphasised the adverse effects of poor sleep on human health, however, the correlation between sleep abnormalities and hypothyroidism remains unclear. This study evaluated whether sleep abnormalities may be related to increased prevalence of hypothyroidism in general US adults. Methods: In total, 9016 adults who participated in the National Health and Nutrition Examination Survey from 2007 to 2012 were analysed. A standardised questionnaire was used to collect data regarding sleep duration, self-reported trouble sleeping and sleep disorders. Values were assigned to the three aforementioned sleep factors, resulting in an overall sleep score of 0–3. The sleep patterns were divided into healthy sleep pattern (overall sleep score = 3), intermediate sleep pattern (overall sleep score = 2) and poor sleep pattern (overall sleep score = 0 or 1) according to a former study. Hypothyroidism was defined as thyroid-stimulating hormone (TSH) levels > 5.6 mIU/mL or the need to take thyroid hormones. Multivariable logistic regression analysis was performed to assess the relationship between sleep abnormalities and hypothyroidism. Results: The overall prevalence of hypothyroidism was 8.0% among the 9016 participants. Self-reported trouble sleeping (odds ratio [OR] = 1.38, 95% CI: 1.14–1.68, p = 0.001) and sleep disorders (OR = 1.40, 95% CI: 1.06–1.86, p = 0.0196) were associated with increased prevalence of hypothyroidism. Neither short sleep duration (OR = 0.99, 95% CI: 0.82–1.19) nor long sleep duration (OR = 0.98, 95% CI: 0.61–1.58) was significantly associated with hypothyroidism. Moreover, poor sleep pattern was significantly associated with increased prevalence of hypothyroidism (OR = 1.30, 95% CI: 1.03–1.66, p = 0.0301). Conclusions: Both trouble sleeping and sleep disorders were associated with increased prevalence of hypothyroidism. [ABSTRACT FROM AUTHOR]

Background: As one of the key features of sleep, sleep duration (SD) has been confirmed to be associated with multiple health outcomes. However, the link between SD and cognitive function (CF) is still not well understood. Methods: We employed a combined approach utilizing data from the National Health and Nutrition Examination Survey (NHANES 2011–2014) and Mendelian Randomization (MR) methods to investigate the relationship between SD and CF. In the NHANES cross-sectional analysis, the association between these variables was primarily examined through multivariate linear regression to explore direct correlations and utilized smoothing curve fitting to assess potential nonlinear relationships. To ensure the robustness of our findings, subgroup analyses were also conducted. MR analysis was used to assess the causal relationship between SD and sleeplessness on CF. After excluding confounding factors, univariate and multivariate MR were performed using inverse variance weighting (IVW) as the main analysis method, and sensitivity analysis was performed. Results: The results of our cross-sectional study indicate a notable negative association between SD and CF, forming an inverted U-shaped curve with the inflection point occurring at SD = 6 h. This relationship remains consistent and robust across subgroup analyses differentiated by variables such as age, levels of physical activity, and frequency of alcohol intake. In MR analysis, IVW analysis showed no causal relationship between SD and sleeplessness on CF (Both P > 0.05). Conclusion: Cross-sectional studies suggest the existence of an inverted U-shaped correlation between SD and CF among the elderly. However, MR analysis did not reveal a causal relationship between SD and CF, which the lack of nonlinear MR analysis may limit. These findings provide evidence from a sleep perspective for optimizing cognitive strategies in older adults. [ABSTRACT FROM AUTHOR]

Background: The 24-hour movement guidelines (24-HMG) include screen time (ST), sleep duration, and physical activity. Previous studies have explored the associations of adherence to the 24-HMG with depression and anxiety symptoms among adolescents, ignoring changes in behaviors. This study aimed to examine whether changes in adherence to the 24-HMG were associated with depression and anxiety symptoms among adolescents. Methods: We recruited adolescents from Shenzhen, China in 2021 and followed them up 1 year later. Changes in adherence to the individual 24-HMG were categorized into four groups: persistent non-adherence, adherence to non-adherence, non-adherence to adherence, and persistent adherence. Changes in the numbers of adherence to the overall 24-HMG were obtained by subtracting the number of guidelines adhered to in wave 2 from that in wave 1. Results: We included 12,570 participants aged 9–18 years with 52.2% boys. Compared with persistent non-adherence for the ST/sleep duration guideline, non-adherence to adherence and persistent adherence were associated with lower depression and anxiety symptoms, but adherence to non-adherence was not. Changes in adherence to the physical activity guideline were not related to outcomes. The β coefficients (95% CIs) for each point increase in changes in the numbers of adherence to guidelines were − 0.58 (− 0.69, − 0.47) and − 0.43 (− 0.53, − 0.33) for depression and anxiety symptoms, respectively. The association of persistently adhering to sleep guideline with anxiety symptoms and the associations of changes in the numbers of adherence to the 24-HMG had sex differences. Conclusions: Maintaining and strengthening healthy movement behaviors to meet more guidelines of the 24-HMG, especially sleep and ST, may be beneficial for preventing depression and anxiety symptoms in adolescents. [ABSTRACT FROM AUTHOR]

Objectives: To examine the associations of screen time, homework and reading duration, sleep duration, social jetlag with mental health in children and adolescents, as well as its gender differences. Methods: From December 2023 to April 2024, a total of 62 395 children and adolescents were selected from 51 schools in 17 cities of China by stratified cluster sampling. Screen time, homework and reading duration, sleep duration, and social jetlag were calculated by answering the questions about watching TV time, playing smartphones time, doing homework time, reading extracurricular books time, bedtime, wake-up time, and nap time during weekdays and weekends. Mental health was assessed by the Revised Mental Health Inventory-5 (MHI-5). The generalized linear model was used to determine the association between screen time, homework and reading duration, sleep duration, social jetlag, and mental health in children and adolescents. Results: The generalized linear model results showed that longer watching TV time, longer playing smartphones time, longer homework time, and greater social jetlag were correlated with poorer mental health in children and adolescents, while longer nighttime sleep duration, and longer daytime nap duration were correlated with better mental health. Moreover, in primary school and junior high school, we found that this association was stronger during the weekdays. However, in senior high school, this association was stronger during the weekends. After according to gender stratified, we found that the strength of this association was different in boys and girls at different study phases. Furthermore, our findings also revealed a significant quadratic relationship, indicating the association of better mental health with an optimal amount of sleep duration. Conclusions: There was a significant association between screen time, homework and reading duration, sleep duration, social jetlag, and mental health in children and adolescents. This study has the potential to offer useful insights for the prevention and control of mental health issues in children and adolescents. [ABSTRACT FROM AUTHOR]

Background: the independent association between parental obesity, sleep and lifestyle habits with cardiometabolic risk factors in children and adolescents has been widely explored in the literature. Our study represents a novel approach to comprehensively investigate a complex model encompassing various aspects associated with cardiometabolic risk in youth. Thus, the aim of the present study was to verify the relationship between parental obesity and cardiometabolic risk in children and adolescents, considering the mediator role of health indicators according to sleep time. Methods: This cross-sectional study was conducted on 3,973 children and adolescents aged 6 to 17 years attending public and private schools in a city located in Southern Brazil. Sleep duration, lifestyle, physical activity, natural food consumption, and parental obesity were evaluated through self-reported questionnaires. Physical fitness was evaluated according to the protocols of Projeto Esporte Brasil. The body fat percentage was evaluated through the measures of tricipital and subscapular folds, and the body mass index was calculated. The clustered metabolic risk score (cMetS) considered the summing z-scores of waist circumference, systolic blood pressure, triglycerides, total cholesterol/high-density lipoprotein cholesterol ratio, and fasting glucose, divided by five. A structural equation model was applied for statistical analysis. Results: The relationship between parental obesity and cardiometabolic risk was observed in children and adolescents with adequate sleep, being significant (p < 0.05) mediated by physical activity, natural food, physical fitness, and lifestyle. This was also observed when parental education was included in the inadequate sleep cluster model. Conclusion: Present findings underscore the importance of sufficient sleep duration as a critical factor in understanding the complex interplay between parental obesity and cardiometabolic risk in children and adolescents. [ABSTRACT FROM AUTHOR]

The aim of this study was to assess the sleep status of middle-aged and elderly adults in Bengbu City, Anhui Province, China, to identify the major dietary patterns, and to analyze the association of different sleep duration and dietary patterns with metabolic syndrome (MetS) and its related influencing factors, as well as to explore the predictive value of sleep duration and dietary patterns. A cross-sectional analysis was performed utilizing data collected from the Community-based Cardiovascular and Health Promotion Study 2019 (COCHPS 2019) conducted in Bengbu. The definition of MetS adhered to the criteria of Guidelines for the Prevention and Treatment of Dyslipidemia in Chinese Adults (2016 Revision). Dietary information was obtained using the Food Frequency Questionnaire (FFQ) to assess dietary intake over the past year. Principal component analysis (PCA) was performed to identify dominant dietary patterns. A logistic regression model was developed to analyze the associations among sleep duration, dietary patterns, and MetS, and a decision tree (DT) model was developed to compare factors affecting MetS and screen people at high risk for MetS. The prevalence of MetS was 13.4% among the 9132 middle-aged and elderly residents over 45 years of age included in COCHPS 2019. Participants were divided into short (< 6 h/d), normal (6–8 h/d), and long (> 8 h/d) groups based on their daily sleep duration. Three dietary patterns were identified by PCA, the fruit-milk pattern, the tubers-meat pattern, and the vegetable-cereal pattern. After adjusting for covariables, logistic regression analysis showed that long sleep duration was significantly negatively associated with MetS. The fruit-milk and vegetable-cereal patterns were negatively associated with MetS, whereas the tubers-meat pattern was positively correlated with MetS. The results of the DT model analysis showed that the vegetable-cereal pattern is the most important factor impacting MetS, followed by marital status, the tubers-meat pattern, the fruit-milk pattern, exercise, sleep duration, and gender. The DT model also screened out five types of MetS high-risk groups. The results of our study indicate that normal sleep duration and consumption of either a fruit-milk or vegetable-cereal diet may lower the likelihood of developing MetS in middle-aged and elderly adults. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the association between sedentary behavior (SB), moderate to vigorous physical activity (MVPA), and sleep duration. Methods: Data from the 2017–2018 National Health and Nutrition Examination Survey (NHANES) was analyzed. SB was assessed based on the average daily sitting time, while MVPA was estimated by the frequency and duration of leisure and work-related activities. The ratio of time spent in MVPA to time in SB was analyzed, and a thresholds of ≥ 1.0, 2.5 and 10 min of MVPA per sedentary hour was used to determine sufficiency for mitigating the effects of a sedentary lifestyle. Sleep duration was measured by the average hours slept on weekdays and weekends, classified according to National Sleep Foundation guidelines. The measures of SB, MVPA, and sleep were self-reported. Descriptive statistics were used to characterize the sample, and multivariate logistic regression was applied to assess the associations between movement behaviors and sleep duration. Results: The study included 5,533 participants, with 51.8% women, predominantly aged 26–64 years (66.1%). Insufficient physical activity was reported by 59.6% at work and 62.5% during leisure time. Recommended sleep duration was observed in 84.4% of the sample. Adjusted multivariate analysis revealed that individuals engaging in ≥ 2.5 min of MVPA during leisure-time for each sedentary hour were 38.9% less likely to experience short-term sleep (OR:0.72;95%CI:0.53–0.97). Conversely, those who performed the same amount of MVPA at work were 57.0% more likely to have short-term sleep (OR:1.57;95%CI:1.16–2.12). Conclusion: Meeting the MVPA threshold during leisure-time reduces the likelihood of short-term sleep, while higher MVPA levels at work increase the likelihood of short-term sleep. [ABSTRACT FROM AUTHOR]

Background: The present analysis aimed to assess the mediating role of psychosocial and behavioural factors in socio-economic inequalities in health-related quality of life (HRQoL) among children and adolescents. Methods: Cross-sectional data was drawn from the randomly selected SEROCoV-KIDS cohort study in Geneva, Switzerland. Associations of socio-economic conditions (parents' highest education, household financial situation) with HRQoL, psychosocial (parent–child relationship, school difficulties, friends, extracurricular activities) and behavioural factors (screen time, physical activity, green spaces time, sleep duration), along with associations of psychosocial and behavioural factors with HRQoL, were evaluated with generalized estimating equations. Counterfactual mediation analyses were conducted to test pathways linking socio-economic conditions to HRQoL. Results: Of 965 children and 816 adolescents, those with disadvantaged financial circumstances were more likely to have a poor HRQoL (adjusted Odds Ratio [aOR]: 3.80; 95% confidence interval [CI]: 1.96–7.36 and aOR: 3.66; 95%CI: 2.06–6.52, respectively). Psychosocial characteristics mediated 25% (95%CI: 5–70%) and 40% (95%CI: 18–63%) of financial disparities in HRQoL among children and adolescents, respectively. Health behaviours were weakly patterned by socio-economic conditions and did not contribute to financial differences in HRQoL. Conclusions: These findings provide empirical evidence for mechanisms explaining socio-economic disparities in child HRQoL and could inform interventions aimed to tackle health inequalities. [ABSTRACT FROM AUTHOR]

Objectives: To enhance the identification of individuals at risk of developing clinically significant kidney stones. Methods: In this study, data from the Fasa Adults Cohort Study were analyzed to explore factors linked to symptomatic and clinically significant kidney stone disease. After cleaning, 10,128 participants with 103 variables were studied. One outcome variable (presence of symptomatic kidney stones) and 102 predictor variables from surveys and tests were assessed. Five Machine learning (ML) algorithms (SVM, RF, KNN, GBM, XGB) were applied to examine kidney stone factors, with performance comparisons made. Data balancing was done using SMOTE, and metrics like accuracy, precision, sensitivity, specificity, F1 score, and AUC were evaluated for each algorithm. Results: The XGB model outperformed others with AUC of 0.60, while RF, GBM, SVC, and KNN had AUC values of 0.58, 0.57, 0.54, and 0.52. RF, GBM, and XGB showed good accuracy at 0.81, 0.81, and 0.77. Top predictors for kidney stones were serum creatinine, salt intake, hospitalization history, sleep duration, and BUN levels. Conclusions: ML models show promise in evaluating an individual's risk of developing painful kidney stones and recommending early lifestyle changes to reduce this risk. Further research can enhance predictive accuracy and tailor interventions for better prevention/management. [ABSTRACT FROM AUTHOR]

Background: Sleep can function as a potential modifiable risk factor in the control and prevention of stroke. Geography significantly influences sleep patterns. The association of sleep with stroke in population of Southwest China has not so far been investigated. Methods: A total of 55,001 residents aged from 30 to 79 years in Southwest China were included in this study, obtaining their complete information of baseline survey and follow-up in China Kadoorie Biobank (CKB). Sleep-evaluating score was constructed on the basis of short/long sleep duration, insomnia, and snoring. The multivariate Cox proportional hazards regression was used to analyze the association between sleep behaviors and stroke. Results: During 11.15 years of follow-up, 3410 stroke cases (572.78 cases/100,000 person-years) were documented. There exists no association of sleep-evaluating score with the risk of stroke in the total population. Male-predisposing association between sleep-evaluating score and risk of stroke was observed (for total stroke, HR = 1.52, 95% CI: 1.03–2.23; for hemorrhagic stroke, HR = 2.31, 95% CI: 1.22–4.34), with anisotropism in male residents with overweight and obesity (HR = 1.93, 95% CI: 1.03–3.63), and those without hypertension (HR = 1.76, 95% CI: 1.01–3.07) in the baseline survey. Conclusions: There exists the male-predisposing association between sleep-evaluating score and the risk of stroke in Southwest China. Improving sleep is required for reducing the risk of stroke. [ABSTRACT FROM AUTHOR]

Objectives: Sleep 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. Methods: Participants 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. Results: A 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. Conclusions: Our findings identified a nonlinear association between sleep timing and hypertension. Individuals with both early and late sleep timing had a high prevalence of hypertension. [ABSTRACT FROM AUTHOR]

Background: Physical activity and sleep are established modifiable lifestyle factors, but the optimal time of the day of these behaviours for health is unknown. This study examined the independent and joint associations of diurnal patterns of physical activity and sleep with all-cause mortality. Methods: This prospective cohort study included 6,673 participants who have attended the accelerometer assessment in the 2011–2014 National Health and Nutrition Examination Surveys (NHANES). Diurnal patterns of accelerometer-measured physical activity and sleep were identified using K-means clustering analysis. All-cause mortality was ascertained from the accelerometer measurement to December 31, 2019 (median follow-up 6.8 years). Survey-weighted Cox proportional hazard models were performed to estimate the independent and joint associations of diurnal patterns of physical activity and sleep with all-cause mortality. Results: Diurnal patterns identified were: early-morning (32.4%), midday (42.5%), and late-afternoon (25.1%) for physical activity; and irregular sleep (37.4%), morning lark (33.6%), and night owl (29.0%) for sleep. After adjusting for volume of physical activity, sleep duration and other potential covariates, the early-morning physical activity pattern (hazard ratio 1.36, 95% confidence interval 1.13–1.64) and irregular sleep pattern (1.42, 1.01–1.99) were independently associated with higher risk of all-cause mortality, compared with midday physical activity and morning lark sleep patterns, respectively. In addition, participants with the combined pattern of early-morning physical activity and irregular sleep had higher risk of all-cause mortality compared to those with midday physical activity combined with a morning lark sleep pattern (1.92, 1.33–2.78). Several sociodemographic differences were observed in the strength of these associations. Conclusions: Wearable activity-rest monitoring data showed that peak physical activity in the early morning and irregular sleep diurnal patterns are associated with increased mortality risk, and the combination of these patterns further exaggerated the risk. Public health program should acknowledge that the diurnal patterns of physical activity and sleep, in addition to their duration and frequency, may play a crucial role in lifestyle-based health promotion and management strategies. [ABSTRACT FROM AUTHOR]

Background: DNA methylation profiling may provide a more accurate measure of the smoking status than self-report and may be useful in guiding clinical interventions and forensic investigations. In the current study, blood DNA methylation profiles of nearly 800 Polish individuals were assayed using Illuminia EPIC and the inference of smoking from epigenetic data was explored. In addition, we focused on the role of the AHRR gene as a top marker for smoking and investigated its responsiveness to other lifestyle behaviors. Results: We found > 450 significant CpGs associated with cigarette consumption, and overrepresented in various biological functions including cell communication, response to stress, blood vessel development, cell death, and atherosclerosis. The model consisting of cg05575921 in AHRR (p = 4.5 × 10–32) and three additional CpGs (cg09594361, cg21322436 in CNTNAP2 and cg09842685) was able to predict smoking status with a high accuracy of AUC = 0.8 in the test set. Importantly, a gradual increase in the probability of smoking was observed, starting from occasional smokers to regular heavy smokers. Furthermore, former smokers displayed the intermediate DNA methylation profiles compared to current and never smokers, and thus our results indicate the potential reversibility of DNA methylation after smoking cessation. The AHRR played a key role in a predictive analysis, explaining 21.5% of the variation in smoking. In addition, the AHRR methylation was analyzed for association with other modifiable lifestyle factors, and showed significance for sleep and physical activity. We also showed that the epigenetic score for smoking was significantly correlated with most of the epigenetic clocks tested, except for two first-generation clocks. Conclusions: Our study suggests that a more rapid return to never-smoker methylation levels after smoking cessation may be achievable in people who change their lifestyle in terms of physical activity and sleep duration. As cigarette smoking has been implicated in the literature as a leading cause of epigenetic aging and AHRR appears to be modifiable by multiple exogenous factors, it emerges as a promising target for intervention and investment. [ABSTRACT FROM AUTHOR]

Background: Sleep and mental health are intimately related and shown to impact graduate students enrolled in health sciences programs, including physical therapy education. Doctorate of Physical Therapy (DPT) students' attitudes and behaviors surrounding sleep and whether these factors are associated with mental health are unknown. This study aimed to describe sleep behaviors and attitudes of entry-level DPT students and to explore the relationship between subjectively reported sleep quality and self-reported symptoms of anxiety in these students. Methods: A cross-sectional online survey consisting of the Sleep Practices and Attitudes Questionnaire (SPAQ), the Generalized Anxiety Disorder-7 (GAD-7) questionnaire, and demographic questions were used. Analyses investigated sleep behaviors and attitudes, along with the relationship (unadjusted odds ratio) between restless sleep and anxiety in DPT students in hybrid and traditional DPT programs across the United States (US). Results: A total of 271 DPT students completed the survey. A majority of students reported feeling tired during most days (80.8%, n = 219), a quarter of participants (24.7%) reported having a history of trouble sleeping and four (1.5%) reported being diagnosed with a sleep disorder. Of those who reported their sleep duration, participants slept an average of 6.86 h. The mean GAD-7 score was 7.68 (SD = 4.90), suggestive of mild anxiety. Sixty-seven (24.7%) reported having a diagnosed anxiety disorder, with generalized anxiety being the most common diagnosis. Those who reported having restless sleep were 4.09 times more likely to have moderate to severe anxiety [unadjusted odds ratio = 4.09 (95% CI 2.27,7.35; p < 0.001)] compared to those who reported restful sleep. Conclusions: DPT students who rated sleep as restless exhibit signs of poor subjective sleep quality associated with an increased risk of experiencing moderate to severe anxiety compared to students who had restful sleep. Students reported behaviors surrounding sleep that may contribute to anxiety. These findings have implications for including sleep and mental health education and practices within DPT programs. [ABSTRACT FROM AUTHOR]

Background: A comprehensive assessment of combined modifiable risk factors in relation to infectious diseases among individuals with hypertension is lacking, and the potential mechanisms of these associations remain unclear. To investigate the prospective associations of a combination of lifestyle behaviors and cardiometabolic factors with the risk of infectious diseases among individuals with hypertension and to estimate whether and to what extent blood biomarkers mediate these associations. Methods: This cohort study included 147,188 participants with hypertension and complete data on modifiable risk factors from the UK Biobank. Health score was constructed from eight modifiable risk factors, including four lifestyle behaviors (diet, physical activity, smoking, and sleep duration) and four cardiometabolic factors (body mass index, blood lipids, blood glucose, and blood pressure). Cox proportional hazards regression analysis was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the health score and infectious diseases. The mediation analysis was performed to assess the potential intermediation effects of blood biomarkers. Results: Over a median follow-up of 12.5 years, 27,398 participants with infectious diseases were documented, with 960 respiratory infectious diseases and 7940 digestive infectious diseases. After adjusting for potential confounders, the HR (95% CI) for the highest versus the lowest quartile of health score was 0.64 (0.62, 0.66) for infectious diseases, 0.72 (0.60, 0.86) for respiratory infectious diseases, and 0.66 (0.62, 0.71) for digestive infectious diseases. Stratified factors including duration of hypertension did not modify the associations between the health score and infectious diseases. In addition, biomarkers including inflammation and renal function collectively explained 46.60% of the associations between the combined lifestyle factors and infectious disease risk among individuals with hypertension. Conclusions and relevance: Ideal management of combined modifiable risk factors was associated with lower risks of infectious diseases and might produce profound changes in blood biomarkers among individuals with hypertension. Additionally, specific biomarkers appeared to serve as an intermediate between combined lifestyle factors and infectious diseases. These insights highlighted the important role of a combination of healthy lifestyle and favorable cardiometabolic status in reducing disease burden and facilitated the understanding of biological mechanisms underlying modifiable risk factors with infectious diseases. [ABSTRACT FROM AUTHOR]

Background: Recent research has revealed that today's older adults report more sleep problems than their predecessors, a trend compounded by expanding social stratification. As such, this study examined the demographic, socioeconomic, and health correlates of sleep quality and sleep duration among community-dwelling older adults in India. Methods: The current study sample draws on data from 7118 respondents aged 50 years and over participating in the World Health Organization's Study on global AGEing and adult health (WHO-SAGE) wave-2 dataset. Sleep quality (good, moderate, and poor) and sleep duration (in hours and minutes) were self-reported. Adjusted multivariable logistic regression models were employed to examine the associations between sleep quality and sleep duration and several demographic, socioeconomic, and health indicators. Results: A total of 12.84% and 36.1% of older adults reported long (> 8 h) and short (< 7 h) sleep, respectively. Older adults with primary education had lower odds of poor sleep [aOR: 0.85, CI: 0.73–0.99] than peers with no formal education. The odds of poor sleep were lower among those in higher wealth quintiles than those in the poorest quintile. Older adults with higher education had higher odds of short sleep [aOR: 1.36, CI: 1.06–1.74], and those with primary education had lower odds of long sleep [aOR: 0.70, CI: 0.54–0.91] than those without formal education (base category: age-appropriate sleep, i.e., 7–8 h). Older adults who were widowed had lower odds of both short [aOR: 0.82, CI: 0.68–0.98] and long sleep [aOR:0.74, CI: 0.58–0.95] compared to those who were currently married. Older individuals with adequate nutritional intake reported lower odds of short [aOR:0.59, CI: 0.49–0.72] and higher odds of long sleep [aOR:1.52, CI: 1.20–1.93] relative to their counterparts. Older adults who reported chronic conditions and body pain had higher odds of poor sleep and short sleep than their counterparts. Conclusions: We identified significant associations between several unmodifiable factors, including age, education, and marital status, and modifiable factors such as dietary intake, body pain, and pre-existing chronic ailments, and sleep quality and sleep duration. Our findings can assist health care providers and practitioners in developing a more holistic and empathic approach to care. Moreover, that several demographic, socioeconomic, and health-related factors are consequential for older adults' sleep health suggests that early detection through screening programs and community-based interventions is vital to improving sleep among older Indians who are most susceptible to sleep problems. [ABSTRACT FROM AUTHOR]

Background: Sleep disturbance is linked to neurodegenerative diseases and the related brain pathophysiology. Serum neurofilament light chain (NfL) is a reliable biomarker for neurological disorders. This study examined the association between sleep characteristics and serum NfL levels in American adults. Methods: In this cross-sectional study, data from the 2013–2014 US National Health and Nutrition Examination Survey were utilized. Participants were categorized into short (≤ 6 h), normal (7–8 h), and long (≥ 9 h) sleep groups based on their self-reported sleep durations. Sleep duration, trouble sleeping, and diagnosed sleep disorders were queried, forming "sleep pattern (healthy, moderate, and poor)." The association between sleep characteristics and serum NfL levels was assessed using multivariate linear regression models. Stratification and sensitivity analyses were conducted to determine the stability of results. Results: Overall, 1637 participants were included; among them, 48.2% were male and 51.8% were female (mean ± SD, age: 46.9 ± 15.5 years) and 38.8% reported sleeping for ≤ 6 h, 54.4% for 7–8 h, and 6.8% for ≥ 9 h. Participants with longer sleep duration, poor sleep pattern, diagnosed sleep disorders, or trouble sleeping exhibited higher serum NfL levels. A positive correlation was found between extended sleep and elevated serum NfL levels (Adjusted β = 4.82, 95%CI: 2.2, 7.44, P < 0.001), with no significant correlation observed in the short-sleep group or those with poor sleep pattern. Stratified and sensitivity analyses confirmed the robustness of the relationship between longer sleep and elevated serum NfL levels. Conclusions: A long sleep duration is associated with higher serum NfL levels than a normal sleep duration in American adults. [ABSTRACT FROM AUTHOR]

Background: Sleep distrurbances involves daytime preoccupation about sleep, which plays a critical role in perpetuating sleep disturbances. Recent cognitive models highlight the importance of daytime processes, like processing sleep-related information and interpretations during waking hours, in influencing sleep quality and quantity. The Sleep Preoccupation Scale (SPS) quantifies this daytime cognitive activity related to sleep. This study aimed to translate and validate an Arabic version of the SPS for assessing sleep preoccupation among Arabic speakers. Methods: 523 Arabic speakers (mean age 23.6 years, 75% female) from four countries completed the Arabic SPS alongside the Athens Insomnia Scale, Generalized Anxiety Disorder-7 Scale, and the Anxiety and Preoccupation about Sleep Questionnaire (APSQ). The sample repeated the SPS after two weeks for test-retest reliability. Confirmatory factor analysis evaluated the SPS's two-factor structure. Internal consistency, item response theory, and convergent validity with the other scales were examined. Results: Confirmatory factor analysis supported the two-factor model's fit. Measurement invariance results suggest that the SPS exhibits a similar basic factor structure across both insomnia and non-insomnia groups. The Arabic SPS demonstrated good internal consistency (Cronbach's α = 0.92, McDonald's ω = 0.92) and two-way mixed effects, consistency, single rater/measurement intraclass correlation coefficient (ICC) test-retest reliability (ICC = 0.95). Most items exhibited satisfactory item response theory fit statistics and discrimination. The SPS total score showed strong positive correlations with insomnia severity (r = 0.48, p < 0.001), generalized anxiety (r = 0.57, p < 0.001), and sleep-related anxiety/preoccupation (r = 0.79, p < 0.001), demonstrating convergent validity. Conclusion: The Arabic version of the SPS demonstrated good psychometric properties and validity, supporting its use for assessing sleep preoccupation among Arabic speakers. This culturally-adapted version enhances sleep assessment capabilities for improving insomnia understanding and treatment within Arabic-speaking populations. [ABSTRACT FROM AUTHOR]

Background: Considering the previous research that suggested that screen time (ST), sleep duration, physical activity (PA), obesity and cardiometabolic risk factors are related, it is essential to identify how these variables are associated over time, to provide knowledge for the development of intervention strategies to promote health in pediatric populations. Also, there is a lack of studies examining these associations longitudinally. The aims of the present study were: (1) to investigate the longitudinal relationships between ST, sleep duration, leisure PA, body mass index (BMI), and cardiometabolic risk score (cMetS) in children and adolescents; and (2) to verify scores and prevalence of cMetS risk zones at baseline and follow-up. Methods: This observational longitudinal study included 331 children and adolescents (aged six to 17 years; girls = 57.7%) from schools in a southern city in Brazil. ST, sleep duration, and leisure PA were evaluated by a self-reported questionnaire. BMI was evaluated using the BMI z-scores (Z_BMI). The cMetS was determined by summing sex- and age-specific z-scores of total cholesterol/high-density lipoprotein cholesterol (HDL-C) ratio, triglycerides, glucose, and systolic blood pressure and dividing it by four. A two-wave cross-lagged model was implemented. Results: ST, sleep duration, and leisure PA were not associated with cMetS after 2-years. However, it was observed that higher ST at baseline was associated with shorter sleep duration at follow-up (B=-0.074; 95%IC=-0.130; -0.012), while higher Z_BMI from baseline associated with higher cMetS of follow-up (B = 0.154; 95%CI = 0.083;0.226). The reciprocal model of relationships indicated that the variance of ST, sleep time, leisure PA, Z_BMI, and cMetS explained approximately 9%, 14%, 10%, 67% and 22%, respectively, of the model. Individual change scores and prevalence indicated that cMetS had individual changes from 2014 to 2016. Conclusion: Sleep duration, ST and leisure PA were not associated with cMetS after 2 years. ST showed an inverse association with sleep duration, and Z_BMI was positively associated with cMetS after a 2-year follow-up. Finally, the prevalence of no clustering of risk factors increased after two years. These findings suggest the need to promote healthy lifestyle habits from childhood and considering individual factors that can influence cardiometabolic health in children and adolescents. [ABSTRACT FROM AUTHOR]

Background: National legislative guidelines for sleep and rest are lacking in the Canadian licensed childcare sector. No review of Canadian legislation for licensed childcare facilities has focused on sleep. This paper provides a review of the Canadian provincial and territorial legislative landscape, regarding sleep, rest, and naps in licensed childcare centers. Methods: Childcare statutes and regulations for each province and territory were identified and downloaded on a particular date. Statutes and regulations were reviewed focusing on sections articulating licensed childcare facility mandates governing sleep, rest, naps, and sleep equipment. An excel file was used to facilitate systematic data retrieval and comparisons across provinces and territories. Two authors developed and discussed themes that summarized data from the documents. Results: No statutes indicated recommendations for sleep, rest, or naps. Only one regulation defined rest (Alberta). Our analysis of regulations identified four themes representing sleep, rest, and naps: programming (general programming, daily programming); space (dedicated space, amount of space, age-specific space); equipment (developmental appropriateness, acceptable sleep equipment, age-specific equipment); and safety (staffing during sleep/rest, sleep position, sleep monitoring, sleep equipment safety, prohibited practices). In Canada, minimal regulatory consistency is evident in required sleep programming, space, acceptability of sleep equipment, and sleep safety considerations. Most jurisdictions' regulations indicated necessity for developmentally appropriate rest or sleep areas and equipment, in particular for infants, but there was minimal consistency in defining infant age groups. Conclusions: Although we identified themes related to sleep across regulations, childcare regulations differ in their definitions of infants and specifications for children's sleep and rest in licensed Canadian childcare facilities. Without adequate definitions in legislative components of appropriate sleep duration linked to children's developmental stages, childcare facilities lack guidance to support healthy sleep for children in their care. Future research can examine translation of healthy sleep guidelines into government legislation and mandates for sleep, rest, and naps among young children in licensed childcare. [ABSTRACT FROM AUTHOR]

Objective: Insufficient or prolonged sleep each day may contribute to the onset of cardiovascular disease and diabetes, and there may be some variability between genders; however, current research evidence is limited. We aimed to investigate the effects of gender on self-reported sleep duration and the prevalence of cardiovascular disease and diabetes. Research design and methods: This study is a population-based, cross-sectional analysis. Data from a nationally representative sample of US adults obtained from the National Health and Nutrition Examination Survey (NHANES) (2005–2020), and 13,002 participants, including 6,774men and 6,228women, were obtained by excluding the missing values for each variable self-reported sleep duration data obtained by using a habitual baseline questionnaire. Logistic regression models investigated the associations between gender-specific self-reported sleep duration, CVDs, and diabetes events. Result: In all participants, respectively, compared with sleep 7–8 h/day, the multivariable-adjusted odds ratios significantly associated with < 7 h /day and > 8 h /day were (1.43[1.15, 1.78]) and (1.34[1.01, 1.76]) for CHF, (1.62[1.28, 2.06]) for Angina, (1.42[1.17, 1.71]) for heart attack, (1.38[1.13, 1.70]) and (1.54[1.20, 1.97]) for Stroke, (1.21[1.09, 1.35]) and (1.28[1.11, 1.48]) for diabetes. In men, CHF (1.67[1.21, 2.14]), Angina (1.66[1.18, 2.15]), Stroke (1.55[1.13,1.97]), and diabetes (1.15[1.00, 1.32]) were significantly associated with < 7 h /day, and stroke (1.73[1.16, 2.32]) and diabetes (1.32[1.06, 1.52]) were significantly associated with > 8 h /day. In women, angina(1.83[1.16, 2.50]), heart attack(1.63[1.11, 2.15]), and diabetes (1.32[1.11, 1.54]) were significantly associated with < 7 h /day, while diabetes (1.31[1.03, 1.59]) was significantly associated with > 8 h /day. Conclusion: Self-reported long and short sleep duration was independently associated with partial CVDs and diabetes risk. However, sleep duration and gender did not have multiplicative or additive interactions with the onset of diabetes and CVDs. [ABSTRACT FROM AUTHOR]

Background: Unhealthy lifestyles, which include unhealthy diet and unhealthy sleep duration, have been widely recognized as modifiable risk factors for depressive symptoms. This study aims to explore the associations between dietary quality, sleep duration, and depression symptoms, as well as their combined effects. Methods: The NHANES 2007 to 2014 cycles provided the data for this study, in which 19,134 adults aged 20 years and older were included. Unhealthy diet, measured using an average Healthy Eating Index (HEI)-2015 score below the 60th percentile, and unhealthy sleep duration, measured as sleep duration at night less than 7 h or greater than/equal to 9 h, were the primary exposures. Then participants were divided into four different lifestyles. A weighted-multivariable logistic regression was employed, controlling for relevant variables. Furthermore, stratified analyses were conducted to assess the robustness of the findings and identify potential high-risk groups. Results: The overall prevalence of depressive symptoms among all participants was 8.44%. Among the participants, 56.58% met the criteria for healthy sleep duration, and 24.83% scored at or above the 60th percentile on the HEI-2015. Unhealthy diet (OR: 1.40, 95% CI: 1.18–1.67, p < 0.001) and unhealthy sleep duration (OR: 1.94, 95% CI: 1.63–2.31, p < 0.001) exhibited positive associations with depression symptoms. Individuals who maintained an unhealthy diet but healthy sleep duration (OR: 1.60, 95% CI: 1.20–2.13, p = 0.002), healthy diet but unhealthy sleep duration (OR: 2.50, 95% CI: 1.64–3.80, p < 0.001), or an unhealthy diet and unhealthy sleep duration (OR: 2.91, 95% CI: 2.16–3.92, p < 0.001) were significantly associated with depressive symptoms compared to those with a healthy diet and healthy sleep duration, respectively. In stratified analyses, females, middle-aged individuals, those with a college degree or higher education, and individuals who do not meet the recommended level of physical activity exhibit heightened susceptibility to depressive symptoms when exposed to unhealthy diet and unhealthy sleep duration. Conclusion: In summary, our study suggests that individuals affected by the individual and synergistic effect of an unhealthy diet and unhealthy sleep duration are more susceptible to experiencing depressive symptoms. [ABSTRACT FROM AUTHOR]

Background: Several recent global events may have impacted adolescent sleep and exacerbated pre-existing disparities by social positions (i.e., social roles, identity or sociodemographic factors, and/or group memberships that are associated with power and oppression due to the structures and processes in a given society at given time). Current understanding of sleep among adolescents is critical to inform interventions for a more equitable future, given the short and long-term consequences of inadequate sleep on health and well-being. This study aimed to provide contemporary evidence on sleep disparities by key social positions among adolescents in Canada. Methods: Cross-sectional analyses were conducted using self-reported data collected during 2020–2021 (the first full school year after the COVID-19 pandemic onset) from 52,138 students (mean [SD] age = 14.9 [1.5]) attending 133 Canadian secondary schools. Multiple regression models were used to test whether sleep quality (how well students slept during past week), duration (weekday, weekend, weighted daily average), and guideline adherence (8–10 h/day) differed by sex and gender, race and ethnicity, and socioeconomic status (SES). Results: Females reported a mean [95% CI] difference of -1.7 [-3.7, 0.4] min/day less sleep on weekdays than males, but 7.1 [4.5, 9.6] min/day more sleep on weekends, resulting in no difference in average daily sleep between males and females. Females were less likely to report good quality sleep compared to males (AOR = 0.57 [0.54, 0.60]). SES followed a generally monotonic trend where higher scores were associated with more sleep on weekdays (Δhighest: lowest = -28.6 [-39.5, -17.6]) and weekends (Δhighest: lowest = -17.5 [-3.8, -31.2]) and greater likelihood of higher sleep quality (AORhighest: lowest = 3.04 [2.35, 3.92]). Relative to White adolescents, weekday and average daily sleep duration were lower among all other racial identities; mean differences ranged from ∼ 5–15 min/day, with Black students reporting the least sleep. Conclusions: Differences in sleep duration and quality were most profound among adolescents from the lowest and highest SES. Racial disparities were more evident on weekdays. Compensatory weekend sleep appears more pronounced in females than males. Addressing sleep inequities is critical, as a robust predictor of multiple health outcomes. [ABSTRACT FROM AUTHOR]

Background: Sleep problems increase the risk of premature illness and death. We evaluated the association between sedentary time and sleep disturbances. Methods: A cross-sectional analysis of the US nationally representative data of 21,414 adults (aged > = 18 years) from National Health and Nutrition Examination Survey (NHANES) (2005–2014) was performed. The data of sleep disturbances were assessed using NHANES questionnaire results, which included the question, "{Have you/has sp} ever been told by a doctor or other health professional that {you have/s/he has} a sleep disorder?". All participants were stratified by quartiles of sedentary behavior distribution, which was the explanatory variable (sedentary time quartile cut points: Q1, 0 < = Q1 < 3 h; Q2, 3 < = Q2 < 5 h; Q3, 5 < = Q3 < 8 h; Q4, 8 < = Q4 < 20 h). We used multivariable logistic regression and the restricted cubic splines (RCS) model to assess the relationship between sedentary time and sleep disturbances. Results: In the unadjusted multivariable logistic regression model (crude model), there was a demonstrated tendency for the odds of sleep disturbances to increase with the sedentary time (Q1 as reference, Q2: OR, 1.31 [95% CI 1.09–1.58] P = 0.005; Q3: OR, 1.62 [95% CI 1.39–1.88] P < 0.001; Q4: OR, 1.75 [95% CI 1.48–2.06] P < 0.001; P for trend < 0.001). In the adjusted model 4, adjustment for gender, age, marital type, education type, race, family poverty index ratio, waist circumference, recreational type, smoke status, drink status, diabetes mellitus status, cardiovascular disease status, sleep duration type, body mass index, the OR in Q2 subgroup didn't significantly increase (Q1 as reference. Q2: OR, 1.18 [95% CI 0.96–1.44] P = 0.1). However, the ORs in Q3 and Q4 (Q3: OR, 1.35 [95% CI 1.14–1.59] P < 0.001; Q4: OR, 1.45 [95% CI 1.21–1.75] P < 0.001) both revealed that the risk of sleep disturbances increased with increasing sedentary time, P for trend < 0.001. The unadjusted RCS model revealed that the risk of sleep disturbances increased non-linearly with increasing sedentary time for total participants (P for non-linearity < 0.001). After adjusting for all covariates, the RCS results revealed that the risk of sleep disturbances increased non-linearly with increasing sedentary time for total participants (P for non-linearity = 0.012). Conclusions: This study suggested that the longer sedentary time was strongly associated with the sleep disturbances. The protective effect of recreational activities on sleep disturbance, has not been significantly demonstrated. [ABSTRACT FROM AUTHOR]

Background: Sleep and its architecture are affected and changing through the whole lifespan. We know main modifications of the macro-architecture with a shorter sleep, occurring earlier and being more fragmented. We have been studying sleep micro-architecture through its pathological modification in sleep, psychiatric or neurocognitive disorders whereas we are still unable to say if the sleep micro-architecture of an old and very old person is rather normal, under physiological changes, or a concern for a future disorder to appear. We wanted to evaluate age-related changes in sleep spindle characteristics in individuals over 75 years of age compared with younger individuals. Methods: This was an exploratory study based on retrospective and comparative laboratory-based polysomnography data registered in the normal care routine for people over 75 years of age compared to people aged 65–74 years. We were studying their sleep spindle characteristics (localization, density, frequency, amplitude, and duration) in the N2 and N3 sleep stages. ANOVA and ANCOVA using age, sex and OSA were applied. Results: We included 36 participants aged > 75 years and 57 participants aged between 65 and 74 years. An OSA diagnosis was most common in both groups. Older adults receive more medication to modify their sleep. Spindle localization becomes more central after 75 years of age. Changes in the other sleep spindle characteristics between the N2 and N3 sleep stages and between the slow and fast spindles were conformed to literature data, but age was a relevant modifier only for density and duration. Conclusion: We observed the same sleep spindle characteristics in both age groups except for localization. We built our study on a short sample, and participants were not free of all sleep disorders. We could establish normative values through further studies with larger samples of people without any sleep disorders to understand the modifications in normal aging and pathological conditions and to reveal the predictive biomarker function of sleep spindles. [ABSTRACT FROM AUTHOR]

Background: Sarcopenia is a musculoskeletal disease characterized by a significant reduction in muscle mass, strength, and performance. As it mostly affects older adults, it is often recognized as a disease of old age. However, sleep is also closely related to its development. Hence, it becomes critical to explore the relationship between sleep and sarcopenia in populations under 60 years of age to develop strategies for preventing sarcopenia. We here aim to explore the specific association between sleep duration and sleep quality with pre-sarcopenia in the non-elderly population using large population samples. Methods: This study involved 7,187 participants aged 20–59 years from the National Health and Nutrition Examination Survey (NHANES) conducted between 2005 and 2014. Pre-sarcopenia is defined based on the appendicular skeletal muscle mass (ASM) adjusted for body mass index (BMI). Self-reported sleep duration was categorized into three groups: <6 h (short sleep), 6–8 h (normal sleep), and > 8 h (long sleep). Sleep quality was assessed based on the Sleep Disorder and Trouble Sleeping Questionnaire. Univariate analysis and multivariate logistic regression were used to examine the relationship between sleep duration and sleep quality with pre-sarcopenia. Results: Sleep quality was significantly linked with the risk of pre-sarcopenia (OR 1.72, 95% CI 1.36–2.18, P < 0.01). Longer or shorter sleep duration did not affect the risk of pre-sarcopenia, in contrast to normal sleep duration. Subgroup analysis demonstrated a more pronounced association in individuals who are > 40 years old (P < 0.01), non-Hispanic (P ≤ 0.01), overweight (P < 0.01), have a higher income (P < 0.01), and are more educated (P ≤ 0.01). Moreover, this association was noted in populations with or without smoking (P < 0.01) and alcohol consumption (P < 0.01), hypertension (P < 0.01) and diabetes (P ≤ 0.02). Conclusion: Sleep quality is associated with an increased risk of pre-sarcopenia, while sleep duration is not in the population aged 20–59 years. Further prospective cohort studies with a large sample size are needed to determine causality and develop effective interventions for preventing sarcopenia in the population aged 20–59 years. [ABSTRACT FROM AUTHOR]

Background: Sleep regularity has been linked to a risk of arterial stiffness (AS). However, the association between sleep regularity indicators, which reflect 24-hour sleep variability, and AS has not yet been examined. Methods: We analyzed data from 516 adults, aged 40–65 years (the median age of 51 years), from the 'Follow-up Study of Sleep Characteristics and Chronic Diseases in the Middle-aged and Elderly Population in Guizhou Province'. Participants underwent assessments of AS (OMRON HBP-8000, baPWV ≥ 1400 cm/s) and sleep (wrist smart band (Honor band 5i) for ≥ 7 days). Logistic regression was utilized to evaluate the odds ratio (OR) and 95% confidence interval (CI) of the association between sleep regularity and AS. Results: A total of 516 people were included in this study, of which 279 (54.07%) were in the AS group. The univariate results showed that the AS group (Median 71.18) had lower SRI compared to the No-AS group (Median 75.00) (p < 0.001). The multifactorial results showed participants with higher SRI scores were more likely to have a lower risk of AS compared to those with lower SRI scores (ORQ4 VS. Q1=0.46, 95%CI: 0.25–0.85, p = 0.013). The SRI effect was more pronounced in male (ORQ4 VS. Q1=0.28, 95%CI: 0.12–0.69, p = 0.005), snoring populations (ORQ4 VS. Q1=0.13, 95%CI: 0.04–0.48, p = 0.002), and non-retired populations (ORQ4 VS. Q1=0.45, 95%CI: 0.22–0.92, p = 0.028). Conclusions: The present findings indicated that the effect between SRI and AS may be more sensitive than the standard deviation of sleep duration as well as the standard deviation of sleep onset. [ABSTRACT FROM AUTHOR]

Background: Sleep and physical activity (PA) are thought to be interconnected with the development of rheumatoid arthritis (RA). However, the precise nature and extent of these relationships have yet to be fully quantified. This study aimed to quantify the longitudinal effects of sleep behaviors, PA, and genetic susceptibility on the incidence of RA and to estimate the combined effects and interactions among these exposures. Methods: A total of 363,211 adults were derived from a large European cohort. We incorporated five sleep behaviors (sleep duration, insomnia, snoring, chronotype, and daytime sleepiness) to generate sleep patterns, which were defined based on healthy sleep scores. Multivariate-adjusted Cox proportional hazard models were conducted to assess the individual and combined associations of sleep patterns, PA, and genetic susceptibility with the risk of RA occurrence. Multiplicative and additive interactions were estimated by Pinteraction and relative excess risk due to interaction (RERI) between each of the two exposures. Results: During a follow-up of 12.5 years, 4262 RA cases were ascertained. A healthy sleep pattern was associated with a decreased risk of RA in a dose-response manner, with an adjusted hazard ratio (HR) of 0.79 (95% confidence interval [CI] = 0.75–0.84), independent of traditional risk factors and genetic predisposition. Under the restricted cubic splines model, a non-linear association was detected for PA and RA risk. Participants in the intermediate quintile 3 showed the lowest risk for developing RA, with a HR 95% CI of 0.84 (0.76–0.92). Moreover, there was an additive interaction effect of intermediate sleep pattern and PA, with a 0.45 (95% CI = 0.02–0.87) RERI of developing RA. Additionally, individuals at high genetic risk had the greatest 10-year absolute risk reduction (10.58 per 1000 person-years) when adopting both favorable behaviors. Conclusions: A healthy sleep pattern and moderate PA were associated with a reduced risk of developing RA, which can offset the deleterious effects of predisposing genetic components. Implementing these modifiable lifestyle factors into public health practices is beneficial for RA prevention. [ABSTRACT FROM AUTHOR]

Background: Accumulating evidence has suggested that sleep disturbances and disorders are common in patients who undergo knee arthroplasty. Revision surgery represents one of the most catastrophic outcomes of knee arthroplasty. However, it remains unclear whether sleep traits are the causes or consequences of knee arthroplasty revision. This study aimed to genetically examine the relationships between sleep traits and knee arthroplasty revision. Methods: To determine the causal relationship between sleep traits and knee arthroplasty revision, we employed two-sample Mendelian randomization (MR) using summary statistics from the largest publicly available genome-wide association studies (GWASs). The MR design uses genetic variants as instrumental variables to help separate causal relationships from non-causal associations. The main analyses included an inverse variance weighted (IVW) meta-analysis to obtain primary effect estimates. Sensitivity analyses involving the weighted median approach and MR-Egger regression were also conducted to check for potential pleiotropic biases. Numerous complementary sensitivity analyses were also performed to identify statistically significant causal correlations when there were horizontal pleiotropy and heterogeneity across variants. Finally, a reverse MR analysis was performed to evaluate the possibility of reverse causation. Results: In the absence of heterogeneity and horizontal pleiotropy, the IVW method revealed that genetically-predicted short sleep duration short sleep duration (average sleep duration of 24 h is 6 h or less) was positively correlated with the risk of knee arthroplasty revision (odds ratio = 1.03, 95% confidence interval = 1.01–1.05, and P = 0.003), while the association between genetically-predicted long sleep duration and knee arthroplasty was negative. The reverse MR analysis did not yield evidence supporting reverse causality relation between knee arthroplasty revision and sleep phenotypes. Conclusion: This research indicated that, of the 10 sleep phenotypes we analyzed, only sleep duration was causally associated with knee arthroplasty revision. These discoveries added to the understanding of the role of sleep traits in the etiology of knee arthroplasty revision, which might further expand our insights into the prevention of knee arthroplasty revision. Highlights: 1. Genetically-predicted short sleep duration increases risk of knee arthroplasty revision. 2. Mendelian randomization used to analyze sleep traits and knee revision relationship. 3. Sleep duration causally linked to lower risk of knee arthroplasty revision. 4. No evidence found for reverse causality between knee revision and sleep traits. 5. Study enhances understanding of sleep's role in knee arthroplasty outcomes. [ABSTRACT FROM AUTHOR]

Background: Altered meal timing patterns can disrupt the circadian system and affect metabolism. Our aim was to describe sex-specific chrono-nutritional patterns, assess their association with body mass index (BMI) and investigate the role of sleep in this relationship. Methods: We used the 2018 questionnaire data from the population-based Genomes for Life (GCAT) (n = 7074) cohort of adults aged 40–65 in Catalonia, Spain, for cross-sectional analysis and its follow-up questionnaire data in 2023 (n = 3128) for longitudinal analysis. We conducted multivariate linear regressions to explore the association between mutually adjusted meal-timing variables (time of first meal, number of eating occasions, nighttime fasting duration) and BMI, accounting for sleep duration and quality, and additional relevant confounders including adherence to a Mediterranean diet. Finally, cluster analysis was performed to identify chrono-nutritional patterns, separately for men and women, and sociodemographic and lifestyle characteristics were compared across clusters and analyzed for associations with BMI. Results: In the cross-sectional analysis, a later time of first meal (β 1 h increase = 0.32, 95% CI 0.18, 0.47) and more eating occasions (only in women, β 1 more eating occasion = 0.25, 95% CI 0.00, 0.51) were associated with a higher BMI, while longer nighttime fasting duration with a lower BMI (β 1 h increase=-0.27, 95% CI -0.41, -0.13). These associations were particularly evident in premenopausal women. Longitudinal analyses corroborated the associations with time of first meal and nighttime fasting duration, particularly in men. Finally, we obtained 3 sex-specific clusters, that mostly differed in number of eating occasions and time of first meal. Clusters defined by a late first meal displayed lower education and higher unemployment in men, as well as higher BMI for both sexes. A clear "breakfast skipping" pattern was identified only in the smallest cluster in men. Conclusions: In a population-based cohort of adults in Catalonia, we found that a later time of first meal was associated with higher BMI, while longer nighttime fasting duration associated with a lower BMI, both in cross-sectional and longitudinal analyses. [ABSTRACT FROM AUTHOR]

Background: Meeting the 24-hour movement behavior (24-HMB) guideline helps enhance quality of life (QOL) of adolescents. This study aimed to assess the associations between the 24-HMB (physical activity, screen time, sleep) and QOL among adolescents with idiopathic scoliosis. Methods: A cross-sectional study was conducted between September 2021 and September 2023. 24-HMB, QOL and demographic variables were collected through a self-reported questionnaire. Linear regression models and stratified analyses were used to explore statistical associations between the 24-HMB and QOL. Results: A total of 1073 participants aged 10–18 years with a spinal Cobb angle between 10° and 40° were included. Overall, 20 participants (1.9%) met all three behavioral guidelines, and 272 participants (25.3%) met none. Compared to those who did not meet any of the guidelines, adolescents meeting both screen time and sleep duration (β = 4.10, 95% CI: 2.02–6.18, P < 0.001) and all 3 guidelines (β = 4.39, 95% CI: 0.27–8.51, P = 0.037) had higher QOL scores. Stratified analyses showed that the above associations were more pronounced in adolescents without back pain or with good self-image. Conclusions: These findings highlight the importance of adopting and maintaining healthy behavioral habits in order to improve QOL among adolescents with idiopathic scoliosis, especially in those without back pain or with good self-image. [ABSTRACT FROM AUTHOR]

Background: Nonrestorative sleep (NRS) is related to numerous adverse outcomes. There is rare evidence of its associated factors, especially in Chinese adolescents. This study aimed to explore the factors associated with NRS in Chinese adolescents and the potential moderation effects of coffee or tea consumption. Methods: This cross-sectional study invited adolescents attending Grades 7–11 in Nanjing, China, to complete a self-administered questionnaire, including their NRS, stress, anxiety, physical symptoms, depression, sociodemographics, and lifestyles. Linear regressions were applied to investigate the associated factors of their NRS, with the moderation effects of coffee or tea consumption and other characteristics being tested by additionally including their interactions. Results: Totally 481 adolescents (49% male, age 15.5 ± 1.5 years) were enrolled, with the average global NRS score of 42.16 ± 7.57. Higher family income (β = 2.01, P = 0.007), longer sleep duration (β = 2.33, P = 0.011), and moderate after-class activity (β = 1.50, P = 0.044) contributed less NRS, while higher educational level (β = −2.60, P = 0.033), more coffee or tea consumption (β = −1.68, P = 0.013), physical symptoms (β = −3.85, P < 0.001), stress (β = −0.23, P = 0.005), anxiety (β = −1.54, P = 0.045), and depression (β = −0.13, P = 0.014) contributed more NRS. Females (β = 0.82, P = 0.005), older age (β = −0.46, P = 0.029), and higher education level (β = −1.68, P < 0.001) contributed less refreshment from sleep, more physical/medical symptoms of NRS, and less daytime function, respectively. Coffee or tea consumption moderated the associations of somatic symptoms (β = 0.25, P = 0.021), stress (β = 0.29, P = 0.022), anxiety (β = 0.27, P = 0.005), and depression (β = 0.17, P = 0.021) with NRS. Conclusions: Longer sleep duration, moderate after-class activity, reduced coffee or tea consumption, and promotion of physical and mental health may help reduce adolescents' NRS. Coffee or tea consumption may help buffer the negative associations of somatic symptoms, stress, anxiety, and depression with NRS. [ABSTRACT FROM AUTHOR]

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. Conclusion: 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. [ABSTRACT FROM AUTHOR]

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). Conclusion: 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. [ABSTRACT FROM AUTHOR]

Background: Dental students face the rigorous demands of coursework, which can lead to feelings of inadequacy and stress. These pressures can negatively influence self-efficacy and cause neglect in practicing healthy behaviors that encompass oral health. Identifying the associations of these variables with oral hygiene practices can help in the formulation of interventions tailored toward supporting young students. Therefore, this study aimed to investigate the impact of health behaviors, perceived stress and self-efficacy on oral hygiene practices among undergraduate dental students in Pakistan. Methods: A national online survey was carried out among 904 students across the dental colleges of Pakistan. The survey assessed general health behaviors such as tobacco use, sleep, and exercise, among other demographic variables. Perceived stress was evaluated via the Perceived Stress Scale (PSS-10), and self-efficacy was evaluated via the General Self-Efficacy Scale (GSES). Twice daily brushing, brushing for 2 min, and changing toothbrushes after 3 months informed oral hygiene practice of the participants. Results: The students experienced moderate perceived stress (20.82 ± 5.92) and high self-efficacy (29.19 ± 5.43). The majority of participants were in their third year (31.9%), were female (65.9%), and resided in home during their studies (64.4%). Perceived stress was observed to have no significant effect on the oral practice of participants. Female gender, non tobacco user, regular exercise, frequent dental visits and higher self-efficacy were associated with good oral hygiene practices. Conclusions: The results highlight the importance of addressing stress, enhancing self-efficacy and encouraging healthy behaviors among dental students to improve their oral health, which could be reflected in their professional practice and personal well-being. This study contributes to the understanding of behavioral determinants and emphasizes the need for supportive measures to foster better health behaviors in future dental professionals. [ABSTRACT FROM AUTHOR]

Background: Although stroke is prevalent among Chinese, individuals with stroke may become more disabling if they have concomitant neck pain (NP) and low back pain (LBP). However, the prevalence and factors associated with post-stroke spinal pain among Chinese remain unknown. The current study used the 2018 cohort data from the China Health and Aged Care Tracking Survey (CHARLS) to determine the prevalence and factors associated with increased post-stroke NP and LBP in China. Methods: The CHARLS study was conducted on four cohorts of nationally representative samples of individuals aged 45 years and above from 30 provincial-level administrative units in China. We used data from the 2018 cohort of the CHARLS survey to determine the prevalence and factors associated with NP and LBP in the non-stroke and post-stroke populations. Participants aged 45 years or older who reported to have NP, and/or LBP were identified. The study was statistically analyzed using t-test, and ANOVA analysis of variance. A multiple logistic regression model was used to identify factors significantly associated with NP and/or LBP in the non-stroke and post-stroke populations. Results: A total of 19,816 individuals participated in the 2018 survey. The final inclusion of 17,802 subjects who met the criteria included 16,197 non-stroke and 885 stroke participants. The prevalence of NP and LBP in non-stroke population was 17.80% (95% CI: 17.21–18.39) and 37.22% (95% CI: 36.47–37.96), respectively. The prevalence of NP and LBP in the target stroke population was 26.44% (95% CI: 23.53–29.35) and 45.42% (95% CI: 42.14–48.71), respectively, and the difference was statistically significant (p < 0.05). Factors associated with increased post-stroke NP included female, short sleep duration, long lunch break, physical dysfunction, and depression. Factors associated with increased post-stroke LBP included female, comorbidities of two or more chronic diseases, physical dysfunction, and depression. Conclusion: The current study highlighted the high prevalence of post-stroke neck pain (26.44%) and LBP (45.42%) in China. While slightly different associated factors were found to be associated with a higher prevalence of post-stroke NP and LBP, female and individuals with more physical dysfunction or depression were more likely to experience post-stroke spinal pain. Clinicians should pay more attention to vulnerable individuals and provide pain management measures. [ABSTRACT FROM AUTHOR]

Background: Understanding the relationship of social network use and addictive behaviors with adolescent psychosocial health is crucial in today's digital age. Aim: To verify the associations between social network use, messaging applications, and the addictive behaviors to social network with psychosocial health in Spanish adolescents. Methods: A cross-sectional study was developed with 632 adolescents, aged 12 to 17 years from the Region of Murcia, Spain. The assessment of social network use (Facebook, Twitter, Instagram, Snapchat, and TikTok) involved evaluating the frequency of use of each social network individually using a single-item scale with five response options. WhatsApp use (i.e., a messaging application) was evaluated in the same manner. The Short Social Networks Addiction Scale-6 Symptoms was employed to assess potential addictive behaviors to social network use. The psychosocial health was assessed using the Strengths and Difficulties Questionnaire. Generalized linear regression models were conducted, and predictive probabilities of having psychosocial health problems were calculated. Results: The predicted probability of presenting psychosocial health problems in the medium users and high users of social networks was 19.3% (95% confidence interval [CI] 13.0 to 27.7), and 16.2% (95% CI 10.2 to 24.6) higher compared to low users, respectively. High usage of Instagram, TikTok, Snapchat, and Facebook was associated with increased probabilities of psychosocial health problems, with Facebook showing the highest probabilities, at 31.3% (95% CI 14.8 to 54.2) for medium users and 51.9% (95% CI 26.5 to 76.3) for high users. Additionally, adolescents with addictive behaviors to social network use had from 19.0 to 25.2% probabilities of experiencing psychosocial health problems. Finally, the highest probabilities of having psychosocial health problems were identified in adolescents with high addictive behaviors when using social networks (28.9%; 95% CI 19.3 to 40.8%) and the lowest in those with low addictive behaviors (6.8%; 95% CI 3.3 to 13.6%). Conclusion: Adolescents who use social networks more frequently and exhibit more addictive behaviors related to their use are more likely to experience psychosocial health problems compared to those who do not. Facebook showed the strongest association, followed by Snapchat, Instagram, and TikTok. Our data also revealed that adolescents exhibit various signs of addictive behaviors to social network use. [ABSTRACT FROM AUTHOR]

Background: Both ambient air pollution and lifestyle factors contribute to the incidence of non-alcoholic fatty liver disease (NAFLD), but previous studies usually focused on single-factor associations. We aimed to assess the joint associations of ambient air pollution and lifestyle with the NAFLD risk and investigate whether lifestyle modifies the association of air pollution with NAFLD risk. Methods: A total of 417,025 participants from the UK Biobank were included in this study. Annual average concentrations of NO2, NOx, PM2.5, PM10, and PM2.5−10 were estimated. A composite lifestyle score was determined based on physical activity, alcohol intake, smoking status, dietary patterns, sedentary time, and sleep duration. Cox proportional hazards regression models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs), as well as the population attributable fraction (PAF). Potential additive interactions of air pollution with lifestyle were also examined by the relative excess risk due to the interaction (RERI) and the attributable proportion due to the interaction (AP). Results: 4752 (1.14%) incident NAFLD events were recorded. Long-term exposure to air pollutants and an unhealthy lifestyle were significantly associated with the increased risk of incident NAFLD. Lifestyle was the primary factor of incident NAFLD, with a PAF of 37.18% (95% CI: 29.67%, 44.69%). In addition, a significant additive interaction between air pollution and lifestyle for NAFLD risk was observed (RERI: 0.36, 95% CI: 0.09–0.63). Conclusions: Long-term exposure to ambient air pollutants and poor lifestyle were jointly associated with a higher risk of NAFLD. [ABSTRACT FROM AUTHOR]

Background: Shift workers are at an increased risk of developing sleep disorders. The standard therapy recommended for sleep disorders is cognitive behavioural therapy for insomnia (CBT-I). Many of its interventions are based on a regular sleep and wake rhythm, which is difficult to apply for shift workers. We have therefore developed a new therapy manual specifically for shift workers (CBT-I-S), which should be more applicable to their needs. In particular, all interventions that require regularity have been removed, and instead, interventions that address factors that proved to be relevant to sleep in our preliminary study have been integrated. We now want to test this manual for its effectiveness. Methods: A randomised controlled trial with N = 142 will be conducted to compare two conditions: the newly developed therapy manual will be carried out in the experimental group, while cognitive behavioural therapy for insomnia will be employed in the standard group. Both treatments will be conducted online via MS Teams in a group setting with seven sessions each. Data will be collected at three measurement points (pre, post, 6-month follow-up) and analysed using linear mixed models. The study will investigate whether the two treatments have led to significant improvements in total sleep time, sleep onset latency, subjective sleep quality and daytime sleepiness in shift workers. It will also examine whether the new therapy manual is superior to standard therapy in shift workers and whether these effects are stable. Discussion: We assume that interventions designed to address depressive mood, anxiety, worry, rumination, dysfunctional thought patterns and attitudes towards sleep will also improve sleep. If this is indeed the case, these interventions could replace previous ones that require regularity. This could significantly improve the treatment of insomnia in shift workers. Trial registration: German Clinical Trials Registry DRKS DRKS00032086. Registered on August 16, 2023. [ABSTRACT FROM AUTHOR]

Objectives: Nowadays, few studies have examined the relationships between sleep duration and abnormal gut health. In this study, we used data from the National Health and Nutrition Examination Survey (NHANES) to investigate the correlations between habitual sleep duration and abnormal bowel symptoms in adults. Methods: This study included 11,533 participants aged ≥ 20 years from the NHANES conducted during 2005–2010. Chronic constipation and chronic diarrhea were defined based on the Bristol Stool Form Scale (BSFS) and frequency of bowel movements. Sleep duration was assessed based on the self-report questionnaire and classified into three groups: short sleep duration (< 7 h), normal sleep duration (7–9 h), and long sleep duration (> 9 h). Weighted data were calculated according to analytical guidelines. Logistic regression models and restricted cubic spline curves (RCS) were used to assess and describe the association between sleep duration and chronic diarrhea and constipation. Univariate and stratified analyses were also performed. Results: There were 949 (7.27%) adults aged 20 years and older with chronic diarrhea and 1120 (8.94%) adults with constipation among the 11,533 individuals. A positive association was found between short sleep duration and chronic constipation, with a multivariate-adjusted OR of 1.32 (95% CI: 1.05–1.66). Additionally, long sleep duration was significantly associated with an increased risk of chronic diarrhea (OR: 1.75, 95% CI: 1.08–2.84, P = 0.026). The RCS models revealed a statistically significant nonlinear association (P for non-linearity < 0.05) between sleep duration and chronic diarrhea. Furthermore, obesity was found to modify the association between sleep duration and chronic diarrhea and constipation (p for interaction = 0.044). Conclusions: This study suggests that both long and short sleep durations are associated with a higher risk of chronic diarrhea and constipation in the general population. Furthermore, a non-linear association between sleep duration and these conditions persists even after adjusting for case complexities. [ABSTRACT FROM AUTHOR]

Background: Higher education students exhibit heightened sensitivity to environmental changes as they navigate the critical transition from adolescence to adulthood. The coronavirus disease 2019 (COVID-19) pandemic has posed unprecedented challenges to universities worldwide, exemplifying a crisis that profoundly affects the learning outcomes and psychological status of college students. Although it is known that campus lockdown has triggered dramatic changes in lifestyles, learning outcomes, and psychological statuses, in-depth knowledge of the causal relationships among these changes remains largely unclear. Methods: Here, we conducted a cross-sectional survey designed to assess the impact of campus closure during COVID-19 on lifestyle, educational performance, and anxiety levels among college students. We surveyed over 3,500 junior college, undergraduate and graduate participants from 94 colleges/universities across 30 provinces, municipalities, and autonomous regions in China.We employed structural equation modeling (SEM) to explore the relationships between changes in lifestyle, educational performance, and levels of anxiety associated with campus open or closure regulations during the COVID-19 pandemic. Results: Our results discovered that sleep duration, physical activity involvement, and social connections were crucial for sustaining students' learning outcomes and mental health. The shift to online learning and campus lockdown exacerbated stressors, contributing to heightened anxiety (β = 0.066), disrupted sleep patterns, and enhanced physical activity (β = 0.070) and reduced learning effect (β = -0.059). Sleep patterns were disrupted by the campus lockdown, an effect mediated by the degradation of relationships among classmates. Nonetheless, the best-fitting SEM uncovered the intricate relationships among lifestyle changes, learning outcomes, and psychological status in response to sudden environmental changes (Fisher's C = 80.949, P = 0.328). These results highlight the critical role of adaptable, supportive campus policies tailored to meet the diverse needs and interests of students during and beyond crises (Fisher's C = 59.568, P = 0.809). Conclusions: Our study advocates for a holistic approach that addresses the multifaceted aspects of student life to cultivate a resilient academic community. This approach contributes to a deeper understanding of the effects of sudden environmental changes on students' psychological well-being and academic performance in the post-pandemic era. [ABSTRACT FROM AUTHOR]

Background: Poor mood states pose the most frequent mental health, creating a considerable burden to global public health. Sedentary behavior is an essential factor affecting mood states, however, previous measures to reduce sedentary time in Chinese young adults have focused only on increasing physical activity (PA). Sedentary, PA, and sleep make up a person's day from the standpoint of time use. It is not known whether reallocating sedentary time to different types of PA (e.g. daily PA and structured PA) or sleep during an epidemic has an effect on mood states. Therefore, this study aimed to examine the association between replacing sedentary time with different types of PA or sleep during the pandemic and the mood states of Chinese young adults and to further examine whether this association varies across sleep populations and units of replacement time. Method: 3,579 young adults aged 18 to 25 years living in China and self-isolating at home during the COVID-19 outbreak were invited to complete an online questionnaire between February from 23 to 29, 2020. Subjects' PA, sedentary time, and mood states were assessed using the International Physical Activity Questionnaire and the Chinese version of the Profile of Mood States, respectively. Participants also reported sleep duration and some sociodemographic characteristics. Participants were divided into short sleepers (< 7 h/d), normal sleepers (7–9 h/d), and long sleepers (> 9 h/d) based upon their reported sleep duration. Relevant data were analyzed using Pearson correlation analysis and isotemporal substitution model (ISM). Results: Sedentary time was negatively associated with mood states in Chinese young adults during the pandemic (r = 0.140) and correlated strongest among short sleepers (r = 0.203). Substitution of sedentary time with structured PA was associated with good mood states (β=-0.28, 95% CI: -0.49, -0.08). Additionally, substituting sedentary time with daily PA (e.g. occupational PA, household PA) was also associated with good mood states among normal sleepers (β=-0.24, 95% CI: -0.46, -0.02). The substitution of sedentary time with sleep could bring mood benefits (β=-0.35, 95% CI: -0.47, -0.23). This benefit was particularly prominent among short sleepers. Furthermore, for long sleepers, replacing sedentary time with sleep time also resulted in significant mood benefits (β=-0.41, 95% CI: -0.69, -0.12). The longer the duration of replacing sedentary behavior with different types of PA or sleep, the greater the mood benefits. Conclusions: A reallocation of as little as 10 min/day of sedentary time to different types of PA or sleep is beneficial for the mood states of young adults. The longer the reallocation, the greater the benefit. Our results demonstrate a feasible and practical behavior alternative for improving mood states of Chinese young adults. [ABSTRACT FROM AUTHOR]

Background: Paroxysmal nocturnal hemoglobinuria (PNH) is a rare, chronic blood disorder. Symptoms such as fatigue can have a substantial impact on patients' physical activity levels, sleep, quality of life, and work productivity. Ravulizumab treatment can reduce thrombosis risk, improve survival and quality of life, and reduce fatigue in PNH, but information is limited on how it impacts sleep and physical activity. Here, data on resting heart rate, daily physical activity, and sleep in ravulizumab-treated patients with PNH were passively collected via a digital wearable activity-tracking device and patient-reported outcome (PRO) data were collected via weekly surveys in the same cohort. Methods: REVEAL was a 32-week prospective observational cohort study in individuals with PNH receiving ravulizumab in the USA. A wrist-worn Fitbit™ collected data on resting heart rate, daily step count, and sleep duration from eligible patients. Patients also completed the following electronic weekly surveys: Functional Assessment of Chronic Illness Therapy (FACIT) – Fatigue, Patient-Reported Outcomes Measurement Information System (PROMIS) Global Physical Health, PROMIS Global Mental Health, PROMIS Sleep-Related Impairment and Sleep Disturbance, and Work Productivity and Activity Impairment Questionnaire – Specific Health Problem (WPAI-SHP). Data collected from the activity trackers and surveys were compared against US general population values reported in the literature. Results: Twenty-eight ravulizumab-treated patients were included (median age: 34 years; 54% female). PRO scores were within US general population normative values, including FACIT-Fatigue (40.0), PROMIS Global Physical Health (51.0), Global Mental Health (51.0), Sleep-Related Impairment (50.0), and Sleep Disturbance (49.0). Similarly, mean resting heart rate (67 bpm), daily step count (7476), and sleep duration (7.7 h) were within the range of US general population values. Daily step count was positively correlated with PROMIS Global Physical and Mental Health scores. Conclusions: This was the first study to use digital monitoring technology to collect data on physical activity and sleep in patients with PNH. The findings indicate that ravulizumab treatment enables patients with PNH to achieve activity levels (heart rate, sleep duration, step count) and quality of life that are comparable to those of the US general population. A weak positive correlation was identified between patient-reported physical and mental health and daily physical activity levels. [ABSTRACT FROM AUTHOR]

Objective: It is crucial to conduct systematic reviews (SRs) and meta-analyses (MAs) to make causal references, in order to inform the clinical guidelines and decision-making. The high reporting quality of reviews through compliance with the guidelines Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Assessing the Methodological Quality of Systematic Reviews-2 (AMSTAR-2) could promote the consistency and reproducibility across the published articles. The purpose of this meta-epidemiological study is to evaluate the reporting methodological quality of SRs on the association between sleep duration and hypertension. Methods: An electronic search in an online database was performed to retrieve systematic reviews and meta-analyses published up to 31st December 2022. Data screening and extraction were conducted by two investigators. The reporting quality of each included article was measured with reference to the 27-item 2020 PRISMA checklist, and methodological quality was evaluated using the AMSTAR-2. PRISMA evaluation was determined by total scores of individual SR and items scores and AMSTAR-2 assessment was also conducted using four categories. Results: Of 2269 articles captured in the initial search, 15 SRs were included in the final analyses. All SRs had more than one incomplete PRISMA item. The mean of total scores was 20.5 (range 14–25), and the results of the AMSTAR-2 assessment were critically low to low. The reporting quality of "rationale," "objectives," "selection process," "study selection," "discussion," and 'support' was fully reported. SRs that reported registration information and protocol had a higher PRISMA score than articles that reported certain deficiencies. From the results of the AMSTAR-2 assessment, the methodological quality of these SRs and MAs was critically low to low. None of the included literature provided a list of excluded articles, and the report of the search strategy was incomplete; half of the SRs did not use appropriate tools to assess the risk of bias in each included study. Conclusions: Both the reporting and methodological quality of overall studies are less than ideal, with several key items being consistently under-reported. The quality measured by AMSTAR-2 is mainly consistent with the quality of reporting. Authors, reviewers, and journal editors should raise awareness and move forward to encourage completeness of SR reporting based on the results, which can aid in enhancing the quality of evidence. Systematic review registration: PROSPERO CRD42023459901. [ABSTRACT FROM AUTHOR]

Purpose: To investigate the prevalence of insomnia among nurses with long COVID-19, analyze the potential risk factors and establish a nomogram model. Methods: Nurses in Ningbo, China, were recruited for this study. General demographic information and insomnia, burnout, and stress assessment scores were collected through a face-to face questionnaire survey administered at a single center from March to May 2023. We used LASSO regression to identify potential factors contributing to insomnia. Then, a nomogram was plotted based on the model chosen to visualize the results and evaluated by receiver operating characteristic curves and calibration curves. Results: A total of 437 nurses were recruited. 54% of the nurses had insomnia according to the Insomnia Severity Index (ISI) score. Eleven variables, including family structure, years of work experience, relaxation time, respiratory system sequelae, nervous system sequelae, others sequelae, attitudes toward COVID-19, sleep duration before infection, previous sleep problems, stress, and job burnout, were independently associated with insomnia. The R-squared value was 0.464, and the area under the curve was 0.866. The derived nomogram showed that neurological sequelae, stress, job burnout, sleep duration before infection, and previous sleep problems contributed the most to insomnia. The calibration curves showed significant agreement between the nomogram models and actual observations. Conclusion: This study focused on insomnia among nurses with long COVID-19 and identified eleven risk factors related to nurses' insomnia. A nomogram model was established to illustrate and visualize these factors, which will be instrumental in future research for identifying nurses with insomnia amid pandemic normalization and may increase awareness of the health status of healthcare workers with long COVID-19. [ABSTRACT FROM AUTHOR]

Background: The purpose of this study was to examine the associations of physical activity (PA), recreational screen time, and sleep with indicators of poor oral health in youth. Methods: Participants were children and adolescents whose parents completed the 2022 National Survey of Children's Health (N = 34,342; 49% female; Mean age = 11.9 +/- 3.5 years). The dependent variables were three binary response items that indicated the presence of toothaches, bleeding gums, and cavities within the previous 12 months. Independent variables were three items indicating the weekly frequency of 60 min of PA, hours of recreational screen time, and hours of weeknight sleep. Relationships between variables were examined using double-selection logistic regression with demographic, dietary, oral hygiene, and dental service covariates selected using the plug-in method of the least absolute shrinkage and selection operator. Results: Compared to zero days of PA, 4–6 days of PA per week was associated with 30% lower odds of bleeding gums (p = 0.021). Compared to less than 1 h of recreational screen time, 2 h or more hours of recreational screen time were associated with a 1.26 to 1.62 times higher odds of cavities (p < 0.01). Compared to 5 h or less of sleep, 7 to 10 h of sleep was associated with 47–61% lower odds of bleeding gums and 31–47% lower odds of cavities (p < 0.01). Secondary analyses indicated that at least 2 of the movement behavior recommendations had to have been adhered to for positive associations with indicators of oral health to be observed. For toothaches, bleeding gums, and cavities, meeting 2 or 3 recommendations was associated with lower odds of poor oral health; whereas adhering to only one recommendation was not. Conclusion: Children with higher PA and sleep durations had improved oral health indicators and children with longer periods of screen time exposure had poorer oral health indicators. Our findings recommend adhering to multiple movement behavior recommendations to achieve improvements in oral health indicators. [ABSTRACT FROM AUTHOR]

Background: Nursing home staff often face challenges in achieving a satisfactory work-life balance, particularly because of the nature of shift work. While long shifts offer extended periods off work, their impact on the delicate balance between work and leisure remains understudied in the context of nursing homes. This study investigated the experiences of nursing home staff in Norway working long shifts lasting 12–14 h and their perceptions of the balance between family life and work. Methods: Eighteen nursing home staff members were interviewed following a semi-structured qualitative approach. The participants worked in three types of long shifts and provided insights into their experiences, addressing issues such as work hours, shift patterns, and work-family balance. Results: The study revealed four main categories: (1) impact of long shifts on family life—the highs and lows; (2) maximizing time off with long shifts; (3) reducing job stress with long shifts; and (4) full-time work leads to predictable hours and stable income. The participants emphasised the distinct separation between work and leisure during long shifts, acknowledging limited social life during working periods but appreciating extended periods off. Family life posed challenges, especially with young children, but the participants found benefits in the longer periods of family time during days off. Longer rest periods and reduced commuting time were perceived as advantages of long shifts, contributing to better sleep, reduced stress and overall well-being. Long shifts also allowed for more predictable working hours and income, supporting a stable work-life balance. Conclusion: Balancing work and family life involves more than just the number of hours spent at work; it also encompasses the quality of those hours both at work and at home. Our findings underscore the complex interplay between work and family life for nursing home staff working long shifts. While challenges exist, benefits such as extended time off, improved sleep, reduced stress, and predictable working hours contribute positively to their work-life balance. Long shifts in nursing homes offer a unique perspective on achieving work-life balance, revealing both the challenges and advantages inherent in such schedules. Understanding the experiences of nursing home staff in this context can inform future innovations in shift scheduling, promoting a more balanced and sustainable work environment for healthcare professionals. For some healthcare staff, extended shifts can lead to a better work-life balance. [ABSTRACT FROM AUTHOR]

Background: Parkinson's disease (PD) is a serious neurodegenerative disease that brings great stress to the physical and mental health of patients. At the same time, long-term treatment will also bring great economic losses and social burden to the family and society, especially after COVID-19 pandemic. The aim of this study is to analyze the current status of stress perception and anxiety in patients with PD and explore the influencing factors after the COVID-19 pandemic. Methods: This study used the convenient sampling method to select the research objects of patients with PD who were outpatients or inpatients in a general public hospital in Hangzhou, Zhejiang Province, and the survey time was from February 2023 to March 2023. The measurements included the General information questionnaire, The Perceived Stress Scale (PSS) and The Self Rating Anxiety Scale (SAS). SPSS 21.0 software was used for data statistical analysis. Result: 394 out of 420 patients with PD completed the questionnaire. The stress perception score of PD was (16.41 ± 6.435) and the anxiety score was (54.77 ± 10.477). The stress perception scores of patients with PD were significantly different in gender, age, educational, occupation, nature of costs, time of sleep, quality of sleep, duration of disease, way of medical treatment and anxiety level (p < 0.05). Among them, age, duration of disease, public expenses, online remote therapy and anxiety level were the main influencing factors of stress perception in patients with PD (p < 0.05). Besides, there were significant differences in gender, educational, nature of costs, time of sleep, quality of sleep and duration of disease in anxiety among patients with PD (p < 0.05). Conclusion: After the COVID-19 pandemic, the level of stress perception and anxiety in patients with PD is high, and the influencing factors are complex. [ABSTRACT FROM AUTHOR]

Background: Serum neurofilament light chain (sNfL) has been identified as a biomarker for neurologic diseases. However, sNfL remains unknown to be responsible for depression. Aims: The aim of this research was to explore the relationship between sNfL levels and depression in US adults. Methods: In this cross-sectional survey of the general population, we investigated representative data involving 10,175 participants from the 2013–2014 cycle of the National Health and Nutrition Examination Survey (NHANES). Depression was diagnosed using the Patient Health Questionnaire-9 (PHQ-9). The effect of related factors on depression was analyzed by conducting a univariate analysis. Stratified analysis was utilized to detect the stability and sensitivity of the relationship. After adjusting for race, education, marital status, smoking status, body mass index (BMI), sleep duration, income, and a history of hypertension, sedentary behavior and stroke, multivariable linear regression was performed to demonstrate the correlation between sNfL and depression. Results: A total of 1301 individuals between the ages of 20 and 75 were involved in this investigation, of which 108 (8.3%) were diagnosed with depression. A significant positive correlation between sNfL and depression among adults in the US was observed by conducting univariable analyses. After adjusting for confounding factors, the multivariate analyses indicated that elevated sNfL levels might play a pivotal role in the development of depression (odds ratio (OR) = 3.0; 95% confidence interval (CI): (1.5, 6.1), P = 0.002). Conclusion: These results indicated that sNfL is closely linked to depression in a nationally representative individual. However, further studies are needed to confirm the biological mechanism as well as the clinical implications of sNfL and depression. [ABSTRACT FROM AUTHOR]