As population aging intensifies, depression emerges as a major global public health issue, especially affecting middle-aged and elderly individuals. While studies have investigated factors like sleep duration, physical activity, smoking, drinking habits, and comorbidity, the complex interplay and cumulative effect of these factors on the risk of depressive symptoms remain not fully understood.

This research utilizes data from the China Health and Retirement Longitudinal Study (CHARLS), encompassing observations from 2015 to 2020. The subjects included 8234 middle-aged and elderly individuals, accounting for a total of 22,570 observations. Lifestyle factors were represented by physical activity, smoking, and drinking habits, with the volume of moderate-to-vigorous physical activity (MVPA) quantified by quoting metabolic equivalents (MET). Multivariate logistic regression models were conducted for baseline analysis, and mixed-effects logistic regression models with random participant intercepts were constructed for the longitudinal analysis of the cohort. Moreover, interaction terms between these factors were included to assess their combined impact on the risk of depressive symptoms.

Longitudinal analysis revealed a notable correlation between short sleep duration (<7 h) and an elevated risk of depressive symptoms, evidenced by an adjusted odds ratio (OR) of 3.13 (95 % CI: 2.73-3.74). Conversely, long sleep duration (>9 h) was not associated with a marked change in risk of depressive symptoms (OR = 1.11, 95 % CI: 0.78-1.59, p = 0.59). High levels of physical activity (192-336 MET-h/week) were significantly linked to an elevated risk of depressive symptoms (OR = 1.70, 95 % CI: 1.19-2.42). Discontinuing smoking was significantly correlated with a lower risk of depressive symptoms (OR = 0.68, 95 % CI: 0.52-0.90). Subjects with two or more concurrent conditions exhibited a substantially higher risk of depressive symptoms (OR = 3.19, 95 % CI: 3.13-3.25). Investigating the combined influence of sleep duration, lifestyle elements, and concurrent conditions revealed that enhanced physical activity levels significantly decreased risk of depressive symptoms in participants with short sleep duration, adjusting the OR from 3.16 to 0.83 (95 % CI, 0.53-1.30). Among participants with short sleep duration, smoking and alcohol consumption patterns were linked to a decreased risk of depressive symptoms, although these associations lacked statistical significance. Relative to subjects without concurrent conditions, those harboring two or more such conditions faced a significantly heightened risk of depressive symptoms in the context of short sleep duration (OR = 3.00, 95 % CI: 2.24-4.03), a risk not observed in subjects with extended sleep duration. Moderate napping (0.5-1 h) among participants with short sleep duration was found to significantly mitigate risk of depressive symptoms (OR = 0.64, 95 % CI: 0.44-0.95), whereas in subjects with prolonged sleep duration, extended napping did not significantly alter risk of depressive symptoms.

The results, derived from a middle-aged and elderly Chinese population, may not be generalizable to other demographic groups or cultural contexts.

This study shows that short sleep duration, unhealthy lifestyle factors, and comorbidities significantly increase the risk of depressive symptoms in middle-aged and elderly individuals. Moderate physical activity, smoking cessation, moderate drinking, and appropriate napping can mitigate this risk, especially for those with short sleep duration. These findings highlight the need to address sleep quality, promote healthy habits, and manage comorbidities in mental health interventions for this population.

Good sleep quality is crucial for health and body equilibrium, particularly during pregnancy, where changes in sleep are influenced by mechanical and hormonal factors. Poor sleep can hinder daily activities and lead to adverse pregnancy outcomes. Data on sleep quality are scarce in low and middle-income countries such as Ethiopia. Hence, this study aimed to determine the magnitude of sleep quality and its associated factors among pregnant mothers in Bahir Dar City, northwest Ethiopia. A facility-based cross-sectional study was conducted with 367 randomly selected pregnant women. All pregnant women who attended public health facilities in Bahir Dar City from November 1st to December 30, 2022 were included except who were critically ill and aged less than 18 years. The data were collected through face-to-face interviews. Sleep quality was assessed by using the Pittsburgh Sleep Quality Index (PSQI). Stata v14 was used for data analysis. A binary logistic regression model was used to identify factors associated with poor sleep quality. Statistical significance was set at p < 0.05. The prevalence of poor sleep quality was 55.04%. In the multivariable analysis, older maternal age (AOR = 3.62), third trimester (AOR = 2.83), multigravidas (AOR = 2.55), low hemoglobin (AOR = 1.92), and coffee consumption (AOR = 2.19) were associated with poor sleep quality. More than half of pregnant women had poor sleep quality. Women aged ≥ 30 years, 3rd trimester, multigravidas, anemic women, and coffee consumption during pregnancy were factors associated with poor sleep quality. The concerned body should pay attention to improving Hgb level and iron/folate supplementation and reduce coffee intake in pregnant women to improve maternal sleep quality during pregnancy.

Sleep disturbances and fatigue can negatively impact pregnancy. The purpose of this study is to assess changes in sleep quality and fatigue levels pre- and post-aromatherapy intervention using lavender oil inhalation in pregnant women in the third trimester.

The research was conducted in the gynecology and obstetrics outpatient clinic of a training and research hospital between October 2022 and March 2023. The study was designed as a randomized controlled experimental trial with a pretest-posttest control group. The sample consisted of a total of 74 pregnant women (37 intervention and 37 control). Aromatherapy with lavender oil was applied to pregnant women in the intervention group for one month using the "Inhalation Application Form." "Personal Information Form", "Visual Analog Scale (VAS)", "Pittsburg Sleep Quality Index (PSQI)" and " Visual Analogue Scale for Fatigue (VASF)" were used to collect data. Percentage distributions, chi-square significance test, t-test in independent groups, and Mann-Whitney U and Wilcoxon tests were used to evaluate the data.

In the study, the post-test PSQI score average of the pregnant women in the intervention group who received lavender oil inhalation was 4.10±1.36, it was 5.45±2.48 in the control group. The post-test fatigue score average of the pregnant women in the intervention group was 65.91±7.02, it was 75.40±10.79 in the control group. A statistically significant difference was found between the post-test PSQI and VAS-F total score averages of the pregnant women in the intervention and control groups (p < 0.05).

The study findings indicate that aromatherapy applied via inhalation to pregnant women improved sleep quality and reduced fatigue levels. According to these findings, lavender oil aromatherapy can be recommended to improve sleep quality and reduce fatigue levels in pregnant women during the third trimester.

Poor sleep quality can cause various health problems. Despite this evidence, much research demonstrates significant heterogeneity in the amounts that people sleep across cultures. This suggests that despite serving fundamental biological functions, sleep is also subject to cultural influence. Variations in chronotype and problematic smartphone use influence sleep quality, and both poor sleep and smartphone addiction can result in poor health and academic performance. This study aimed to measure the associations between chronotype, sleep quality, and smartphone addiction in a population of 1210 health sciences university students in Morocco and Spain. The Horne and Ostberg Morningness-Eveningness Questionnaire, Pittsburgh Sleep Quality Index, and Smartphone Addiction Scale were used to assess the study variables. The study found that the majority of students belonged to the "Neutral" chronotype (73.9%), that the prevalence of smartphone addiction was fairly high (46.3%), and that the prevalence of poor sleep quality was high (74.0%). Associations were found between chronotype and smartphone addiction (p < 0.001), subjective sleep quality (p = 0.006), sleep duration (p = 0.005), sleep disturbances (p = 0.013), and use of sleep medications (p = 0.003). Chronotype was also associated with gender (p = 0.009), country of study (p < 0.001), field of study (p < 0.001), and chronic health problems (p = 0.001). Associations between chronotype and field of study (p < 0.001 for the evening chronotype), sleep disturbance (p < 0.001 and p = 0.026 for both the evening and morning chronotypes), and smartphone addiction (p < 0.001 for the morning chronotype) were confirmed in the multivariate analysis. Our study highlights associations with chronotype that affect sleep quality and addictive behavior when young health sciences students use smartphones. This implies the need to teach or develop strategies to prevent or minimize the negative consequences of the chronotype on mental health and its effects on production. Educational activities on sleep hygiene strategies, the healthy use of smartphones taking into account the chronotype in health sciences students, are needed in order to benefit mental health offuture healthcare professionals.

Hot flashes and night sweats, common vasomotor symptoms (VMS) during menopause, are strongly associated with poor sleep quality and disorders. Physical activity is proposed as a strategy to improve menopausal health and sleep outcomes. This systematic review and meta-analysis synthesizes and evaluates evidence on the relationship between physical activity and sleep parameters in women experiencing VMS. Comprehensive searches were conducted in October 2024 across multiple databases, including MEDLINE/PubMed, Cochrane Library, and EMBASE, alongside manual backward and forward searches. Randomized controlled trials (RCTs) investigating physical activity or exercise interventions and their effects on subjective and objective sleep outcomes in women with VMS were included. The risk of bias was assessed using the revised Cochrane RoB 2 tool, and data were pooled for meta-analysis. Nine studies with a total of 1579 participants were analyzed. Physical activity interventions did not significantly improve sleep quality (-0.03 [-1.23, 1.18]; P = 0.96; I2 = 78 %) or insomnia (-1.65 [-3.52, 0.21]; P = 0.08; I2 = 0 %) but produced minor improvements in sleep problems (-0.08 [-0.16, -0.00]; P = 0.04; I2 = 0 %). Despite concerns regarding bias, none of the studies were classified as high-risk, supporting result reliability. The findings suggest heterogeneity in the effects of physical activity on sleep, influenced by intervention-specific factors like type, frequency, intensity, timing, and duration. Environmental variables may also moderate these outcomes, highlighting the complexity of sleep regulation and the need for tailored approaches to improve sleep in menopausal women. Review protocol is registered in PROSPERO: CRD42024599593.

Lung cancer is one of the most common and deadly cancers worldwide. As the disease progresses and due to the side effects of treatment, patients' physical activity significantly decreases.

To systematically review and conduct a meta-analysis on the effects of exercise rehabilitation on the physical activity of lung cancer patients and determine the best implementation methods to provide clinical guidance.

Literature was searched through multiple electronic databases. A random effects model was used to combine effect sizes through standardized mean difference (SMD). The Cochrane risk of bias tool was used to assess the quality of the literature, sensitivity analysis was used to ensure the robustness of the results, and Egger's test was used to detect publication bias and asymmetry.

A total of 11 studies involving 541 patients were included in this study. The physical endurance, muscle function and cardiopulmonary function of non-small cell lung cancer (NSCLC) patients were evaluated. The overall effect size of the six-minute walk test (6MWT) was not statistically significant. However, subgroup analysis found that endurance significantly improved when exercise duration exceeded 0.5 hours (P ≤ 0.05). In terms of muscle function, the overall effect size was SMD = 0.619. Subgroup analysis showed that strength training, respiratory training, and cross-training (XT) significantly improved muscle function. Exercise rehabilitation significantly enhanced cardiopulmonary endurance (SMD = 0.856, P = 0.002), and the effect was better when the single exercise duration was more than 1 hour, age was over 65 years, and the intervention period was more than 3 months.

Exercise rehabilitation effectively improved muscle function in NSCLC patients, especially strength training, respiratory training, and cross-training. Cardiopulmonary function also showed improvement, particularly when exercise duration exceeded 1 hour, age was ≥ 65 years, and the intervention period was more than 3 months. A single exercise duration of more than 0.5 hours can enhance patients' physical endurance. Appropriately increasing exercise duration and selecting suitable exercise forms can effectively improve the physical activity of NSCLC patients.

The exact factors leading to the development of acne vulgaris are poorly understood. Besides diet, lifestyle habits like sleep and physical activity have received attention. This study explored the causal associations between genetically predicted sleep traits and exercise and acne vulgaris.

The genome-wide association study (GWAS) data for sleep, physical activity, and acne vulgaris were retrieved from the FinnGen Project (1092/211,139 patients/controls) to carry out a two-sample Mendelian randomization (MR) analysis. Validation was performed using a dataset from the Estonian Biobank (34,422/364,991 patients/controls). The inverse variance weighted (IVW) method was the primary analytical method, with robustness tested using the weighted median, weighted mode, and MR-Egger analyses. Heterogeneity was tested using Cochran's Q-test, horizontal pleiotropy using MR-Egger regression, outliers using MR-PRESSO, and driving SNPs using the leave-one-out method.

The results revealed that genetically predicted chronotype (OR=1.021, 95% CI: 0.786-1.326, P=0.875), insomnia (OR=1.475, 95% CI: 0.676-3.216, P=0.329), daytime sleepiness (OR=0.466, 95% CI: 0.046-4.708, P=0.518), or physical activity (OR=0.990, 95% CI: 0.925-1.059, P=0.767) were not causally associated with acne vulgaris. Cochran's Q-test detected no heterogeneity (all P>0.05). No horizontal pleiotropy was detected (all P>0.05), indicating that the selected IVs met the third MR assumption. MR-PRESSO revealed no outliers. No single SNP drove the results according to the leave-one-out analysis. These results were validated through the use of additional datasets.

Our study found no causal associations between sleep traits and physical activity and acne vulgaris. However, further research is needed to explore other potential factors and validate these results in more diverse populations.

Background/Objectives: Sleep is a fundamental physiological function that plays a crucial role in maintaining health and well-being. The aim of this study was to assess dietary and lifestyle factors associated with adequate sleep duration in children and adolescents living in five Mediterranean countries. Methods: Parents of children and adolescents taking part in an initial survey for the DELICIOUS project were examined to assess their children's dietary and eating habits (i.e., meal routines), as well as other lifestyle behaviors (i.e., physical activity levels, screen time, etc.) potentially associated with adequate sleep duration (defined as 8-10 h according to the National Sleep Foundation). The youth healthy eating index (Y-HEI) was used to assess the diet quality of children and adolescents. Multivariate logistic regression analyses were performed to calculate the odds ratios (ORs) and 95% confidence intervals (CIs), indicating the level of association between variables. Results: A total of 2011 individuals participated in the survey. The adolescents and children of younger parents reported being more likely to have inadequate sleep duration. Among eating behaviors, having breakfast (OR = 2.23, 95% CI: 1.62, 3.08) and eating at school (OR = 1.33, 95% CI: 1.01, 1.74) were associated with adequate sleep duration. In contrast, children eating alone, screen time, and eating outside of the home were less likely to have adequate sleep duration, although these findings were only significant in the unadjusted model. After adjusting for covariates, a better diet quality (OR = 1.63, 95% CI: 1.24, 2.16), including higher intake of fruits, meat, fish, and whole grains, was associated with adequate sleep duration. Conclusions: Adequate sleep duration seems to be highly influenced by factors related to individual lifestyles, family and school eating behaviors, as well as diet quality.

Sleep is a cornerstone of health, playing an integral role in both physiological and psychological functions. However, it is vulnerable to a variety of factors including menopause. According to available research, the onset of the menopause transition may not necessarily worsen sleep architecture and could even enhance it, leading to conflict between assessment of subjective and objective sleep complaints. This discrepancy highlights the complex relationship between subjective and objective sleep quality. Understanding this relationship remains challenging due to the limited number of longitudinal studies and small sample sizes. This review explores findings from both subjective and objective sleep assessments in menopausal women and examines the impact of menopausal hormone therapy on sleep quality.

Related issues, such as sleep disturbance, are also frequently reported by children with autism spectrum disorder (ASD). This study systematically reviewed the influences of exercise on sleep and anxiety in children with ASD.Search for eligible studies through four databases, and then proceed with screening. The inclusion criteria are as follows: 1) children with ASD; 2) age 3 to 14 years; 3) randomized controlled trial (RCT); 4) the intervention group received exercise training; 5) conducted pre-and posttest, which includes sleep and anxiety. Use the Cochrane bias risk assessment tool to evaluate the quality of the selected study. Select standardized mean difference (SMD) as the appropriate effect scale index, and use Revman 5.4 software to analyze the mean difference of the selected article data.A total of seven studies fulfilled the inclusion criteria and were selected for the meta-analysis. The included studies involved 387 males and 79 females. The results demonstrated that the EXP group benefited from improved sleep (SMD, -1.05 [-1.25, -0.85], p < 0.05, I2 = 27%, p for heterogeneity = 0.22) and anxiety (SMD, -1.14 [-1.56, -0.72], p < 0.05, I2 = 95%, p for heterogeneity < 0.01) than the CON group.According to the findings, physical activities could offer nonpharmacological interventions for improving sleep and anxiety in children diagnosed with ASD. Sports training could also be considered to promote the rehabilitation of children patients with ASD, which might provide valuable insights.

Insomnia affects one-third of the world's population; the negative effects of insomnia are significant, and traditional insomnia medications have numerous side effects and cause considerable suffering. This has aroused interest in obtaining sleep-improving substances from foods. This study conducted a comprehensive literature review using Web of Science and PubMed with keywords like "sleep", "insomnia", and "food". A subsequent summary of the literature revealed that certain foods, including milk, Ziziphus jujuba, Lactuca sativa, ginseng, Schisandra chinensis, and Juglans regia, etc., are purported to enhance sleep quality by prolonging sleep duration, reducing sleep latency, and alleviating anxiety. The mechanisms of these foods' effects mainly occur via the central nervous system, particularly the gamma-aminobutyric acid (GABA)ergic and 5-hydroxytryptamine (5-HT)ergic systems. Although this review supports the fact that they have potential, further research is needed. There are also issues such as more limited foods, fewer mechanisms, fewer pharmacokinetic studies, and more traditional research models being involved. These need to be addressed in the future to adequately address the problem of insomnia. It is hoped that this study will contribute to research into foods with sleep-improving properties and, in the future, provide an effective natural alternative for those seeking medication.

Background: Lifestyle habits such as sleep, hygiene, or eating conducts are nowadays suffering from a lack of consistency, and this situation is being linked to systemic and mental health consequences. Nevertheless, not enough attention has been paid to investigate the plausible relation between lifestyle habits and oral health, and hence, this investigation aims to study the possible effects of certain lifestyle conducts on oral health in dental students. Methods: A sample of 195 dental students was gathered and basic sociodemographic data (gender, age, and nationality), hygiene habits, as well as data related to smoking, adherence to healthy habits, and daily schedule constancy were recorded. Oral health, with reference to decayed, missing, and filled teeth, was recorded using the DMFT index and bleeding upon probing (BOP). The Healthy Lifestyle Scale (EVS) was utilized to record sleep, smoking, and mealtime and diet characteristics. Descriptive analysis, Pearson correlations, a hierarchical linear regression model, and moderation analysis were performed. Results: The present evidence showed a direct relation between healthy lifestyle habits and oral health indicators. Respect to mealtime routines (MT), correct sleep hygiene habits (SR) and eating a balanced diet (BD) exert a moderator effect on caries and smoking. Smoking shows a positive correlation with the number of filled teeth and BOP. Conclusions: Findings suggest that healthy lifestyle habits are related to better oral health status. In addition, correct sleep hygiene habits, a balanced diet, and a mealtime schedule can act as a moderator factor between caries and smoking.

Sleep problems are prevalent among the older adult population, with a significant impact on their health and overall well-being. Several randomized controlled trials (RCTs) have yielded controversial results regarding the efficacy of exercise interventions in the improvement of sleep among older adult people. This systematic review and meta-analysis aim to assess the influence of exercise interventions on sleep quality within this demographic.

A search was conducted across four databases, namely Web of Science, PubMed, Embase, and SportDiscus, in order to identify randomized controlled trials investigating exercise interventions and sleep in the older adult. The quality of the studies included was evaluated by two researchers according to the PEDro scale. Meta-analysis and sensitivity analysis were performed utilizing RevMan 5.4 and Stata 17 software.

A total of fifty studies encompassing 3,937 participants were included in the analysis. Regarding patient-reported sleep parameters, exercise interventions exhibited enhancements in sleep quality (WMD = -2.18, 95%CI: -2.83 to -1.53, p < 0.01) and reductions in insomnia severity (SMD = -0.52, 95%CI: -0.79 to -0.25, p < 0.01), albeit without significant improvements in daytime sleepiness (SMD = -0.66, 95%CI: -1.41 to 0.09, p = 0.09). In terms of clinician-reported sleep parameters, exercise interventions resulted in increased total sleep time (WMD = 8.98, 95%CI: 1.19 to 16.78, p < 0.05) and sleep efficiency (WMD = 3.66, 95%CI: 2.46 to 4.85, p < 0.01), and reduced wake time after sleep onset (WMD = -11.85, 95%CI: -15.58 to -8.11, p < 0.01), but did not decrease sleep onset latency (WMD = -3.05, 95%CI: -6.23 to 0.13, p = 0.06) or the number of awakenings during sleep (WMD = -0.73, 95%CI: -1.98 to 0.52, p = 0.25).

Exercise interventions have demonstrated positive effects on enhancing sleep quality among the older adult population. This study lends support to the utilization of exercise interventions as a safe, feasible, and effective non-pharmacological treatment approach for enhancing sleep among older individuals.

https://www.crd.york.ac.uk/PROSPERO/view/CRD42024530227, Identifier CRD42024530227.

This study aimed to screen novel immunomodulatory peptides from casein hydrolysates (CH) using alcalase and flavorzyme by virtual screening, and their molecular mechanism were further studied. Based on the primary structural characteristics of immunomodulatory peptides, along with their hydrophobicity and isoelectric point, 3 novel immunomodulatory peptides (ALPMHIR, AMKPWIQPK, NPWDQVKR) were quickly found using virtual screening. These peptides exhibited strong interactions with TLR2/TLR4 through hydrogen bonding and hydrophobic interactions. Molecular docking verified that the key binding sites, such as Ile733, Ala732, and Phe774 in TLR2/TLR4 contributed to docking. Interestingly, the peptide AMKPWIQPK exhibited the strongest immunomodulatory activity and anti-inflammatory activity as 2-way immunomodulatory peptides. Based on western blot analysis and validation using specific inhibitors against MAPK/NF-κB signaling pathways, the results demonstrated that AMKPWIQPK could recognize the TLR2 and TLR4 receptor of the macrophages to upregulate the phospho-IκBα, phospho-p38, and phospho-p65, and further activated the MAPKs/NF-κB signaling pathways to enhance the immunomodulatory activity. These results confirmed that screening and optimizing immunomodulatory peptides by virtual screening and molecular docking were a novel and rapidly feasible method. The peptide AMKPWIQPK was expected to be used as natural-derived immunomodulatory active ingredients in nutritional health care and functional foods.

This study aimed to examine the relationship between recreational physical activity and depressive symptoms in adults diagnosed with sleep disorders, and to explore the potential of recreational physical activity as a practical intervention to alleviate depressive symptoms.

Data were drawn from the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2018, including a cohort of 3,164 adults with diagnosed sleep disorders. Depressive symptoms were measured using the Patient Health Questionnaire-9 (PHQ-9), while recreational physical activity was assessed via metabolic equivalents (METs). The association between physical activity and depressive symptoms was evaluated using multiple linear regression and breakpoint regression models, adjusting for covariates such as sex, age, ethnicity, smoking status, and alcohol consumption.

In the fully adjusted model, participants in the highest quartile of recreational physical activity (Q4) exhibited significantly lower depressive symptom scores (Q4: β = -1.01, 95% CI: -1.58 to -0.44, p = 0.0005), indicating that greater physical activity was linked to fewer depressive symptoms. Additional analyses revealed that this inverse relationship was most pronounced for activity levels below 840 MET, which corresponds to approximately 105 min of vigorous recreational physical activity per day or 210 min of moderate-intensity activity per day. The association weakened for activity levels exceeding 840 MET. Subgroup analyses further indicated that the benefits of recreational physical activity were more pronounced in men, individuals aged 40-60 years, and former smokers.

Higher levels of recreational physical activity were associated with significantly reduced depressive symptoms in adults with sleep disorders. The greatest reductions in depressive symptoms were observed at activity levels below 840 MET, which corresponds to approximately 105 min of vigorous recreational physical activity per day or 210 min of moderate-intensity activity per day. Men, individuals aged 40-60 years, and former smokers derived the most benefit from these activity levels.

This study aims to explore the association between mobile phone involvement, body mass index (BMI) levels, and the sleep quality of Chinese university students.

Using a cluster sampling method, we selected 17,085 university students from three universities in eastern, central, and western China as the study subjects. Demographic information such as age and sex were collected. The Pittsburgh Sleep Quality Index (PSQI) and the Mobile Phone Involvement Questionnaire (MPIQ) were utilized to measure their sleep quality scores and mobile phone involvement scores, respectively. Pearson correlation analysis, two-way ANOVA, and multiple linear regression were employed to examine the relationship between BMI levels, mobile phone involvement, and sleep quality.

The results show that 15.87% (2,712 participants) are classified as overweight, and 18.45% (3,151 participants) are classified as obese. Additionally, 35.87% (6,125 participants) exhibit mobile phone involvement, while 57.94% (9,899 participants) reported poor sleep quality. Pearson correlation analysis indicates a significant negative correlation (p < 0.01) between sleep quality and both BMI levels and mobile phone involvement. Two-way ANOVA shows the significant effect of BMI levels (p < 0.001) and mobile phone involvement (p < 0.001) on sleep quality, and there is no interaction effect between the two. Additionally, the sleep quality of overweight and obese individuals is significantly poorer than that of those with normal weight (p < 0.05), while the sleep quality of overweight individuals is significantly lower than that of obese individuals (p < 0.05). Multiple linear regression analysis indicates that, after controlling for age and gender, both BMI (β = -2.69) levels and mobile phone involvement (β = -1.34) are significantly negatively associated with sleep quality (p < 0.001), accounting for 19% of the variance in poor sleep quality.

This study found that BMI levels and mobile phone involvement are both independently associated with sleep quality among Chinese university students. However, among individuals with excess BMI, although their sleep quality is worse than individuals with normal weight, overweight individuals may have poorer sleep quality than obese individuals. This study also revealed high rates of overweight and obesity, with over half of participants reporting poor sleep quality, highlighting the need for targeted interventions to address weight management and mobile phone usage to improve sleep health in this population.

College students are disproportionately affected by smartphone addiction, which has been linked to various health impairments, including sleep disorders. This study explores the relationship between smartphone addiction and sleep disorders, with a focus on negative emotions as a mediator and gender as a moderator.

Cluster sampling was used to survey 1056 Chinese college students. The Mobile Phone Addiction Index, Negative Affect Scale, and Sleep Disorder Scale were administered. Versions of SPSS 27.0 and PROCESS macro 4.0 were used for data analysis, employing Models 15 and 4 to examine moderation and mediation, respectively.

A strong direct correlation was identified between smartphone addiction and sleep disorder, with negative emotions mediating this relationship, accounting for 33.7% of the effect. Gender significantly moderated the mediation process, with females demonstrating a greater correlation than males between sleep disorders and negative emotions.

Negative emotions partially mediated smartphone addiction's association with sleep disorder, whereas gender significantly moderated this mediation. These findings underscore the complex dynamics among smartphone addiction, emotional well-being, and sleep among college students.

This study aimed to examine the associations between substituting sedentary time (ST) with physical activity and sleep with obesity parameters in adults from eight Latin American countries. The sample consisted of 2173 adults aged 18-65 years. Physical activity, ST and sleep were objectively measured using accelerometers. The parameters of obesity were defined using body mass index (BMI) and waist circumference (WC). Regression analyses were conducted for isotemporal analysis of the association between substituting 30 min/day of ST with light physical activity (LPA), moderate to vigorous physical activity (MVPA) and sleep in relation to BMI and WC. Substituting light physical activity with higher intensity was also analyzed. Substituting 30 min/day of ST with MVPA was significantly associated with lower odds of a higher BMI (OR: 0.993, 95%CI 0.990-0.998) and WC (OR: 0.998, 95%CI 0.998-0.999). Conversely, substituting ST with LPA did not show a significant impact on obesity parameters. However, the substitution of 30 min/day of LPA with MVPA was also associated with lower odds of a higher BMI (OR: 0.993, 95%CI 0.989-0.997). The results highlight the importance of replacing ST and increasing the intensity of physical activity as an effective strategy for preventing and managing obesity in Latin America.

This study explores the role of physical activity, exercise attitude, and sleep quality in college students' happiness, aiming to provide a theoretical basis for improving college students' mental health.

The study employed a whole group sampling method, utilizing a physical activity level scale, exercise attitude scale, sleep quality scale, and happiness scale. A questionnaire survey was conducted with 1,308 college students from four universities in China.

The analysis yielded three key findings: (1) Physical activity significantly improves college students' happiness, and this improvement can be achieved through direct and indirect effects. (2) Positive exercise attitude plays an important mediating role between physical activity and happiness, and a high level of exercise attitude can enhance happiness. In addition, the effect of physical activity on happiness is most significant through exercise attitude. (3) Although sleep quality did not significantly mediate the relationship between physical activity and happiness alone, it played a positive role in the chain mediation path of "physical activity → exercise attitude → sleep quality → happiness."

The discovery of the chain mediation path shows that physical activity not only affects happiness, but also indirectly affects college students' happiness through the combined effects of psychological and physiological factors.

This study aimed to evaluate the effect of nursing care interventions applied at night on the sleep quality and sleep effort of intensive care patients. This study is descriptive and cross-sectional in nature. The sample size consists of 82 intensive care patients. Personal information form, Glasgow Coma Scale, Richard-Campbell Sleep Scale, Glasgow Sleep Effort Scale were applied to the patients. In the analysis of the data, Independent Samples t test, One-Way Analysis of Variance (ANOVA), Pearson Correlation test, and multilinear regression analysis were used. Based on the findings of the examined patients, it was concluded that care interventions may disrupt the sleep of intensive care patients. It is thought that determining the care interventions that disrupt the sleep of intensive care patients may contribute to better planning of care and preserving the sleep patterns of the patients. Basd on our results, nursing education programs and intensive care unit introductory courses should be reviewed to understand the importance of sleep. In this context, reducing unnecessary interventions and diagnostic procedures at night, evaluating and managing pain, using questionnaires for daily bedside evaluation of sleep quality, and implementing interventions that support sleep quality and sleep should be an integral part of nursing care. Insomnia is a significant stressor in the intensive care unit. Therefore, it is important for nurses, who are primarily responsible for care, to determine the sleep quality of patients, evaluate the factors that reduce sleep quality, and implement preventive interventions to ensure patient comfort. It is expected that this study will lead to plans for grouping nursing care interventions in a way that will not affect sleep.

To improve the scientific accuracy and precision of children's physical fitness evaluations, this study proposes a model that combines self-organizing maps (SOM) neural networks with cluster analysis. Existing evaluation methods often rely on traditional, single statistical analyses, which struggle to handle the complexity of high-dimensional, nonlinear data, resulting in a lack of precision and personalization. This study uses the SOM neural network to reduce the dimensionality of high-dimensional health data. Moreover, it integrates cluster analysis to categorize and analyze key physical fitness attributes, such as strength, flexibility, and endurance. Experimental results show that the proposed optimized model outperforms comparison models such as T-distributed stochastic neighbor embedding, density peak clustering, and deep embedded clustering in terms of performance. The accuracy for the strength dimension reaches 0.934, the F1 score is 0.862, and the area under the curve of receiver operating characteristic is 0.944. The silhouette coefficients for cluster analysis in strength, flexibility, and endurance dimensions are 0.655, 0.559, and 0.601, respectively, demonstrating good intra-class and inter-class distances. The proposed model enhances the comprehensive analysis of children's physical fitness and provides a scientific basis for personalized health interventions, making an important contribution to research in this field.

This study investigates the association between sedentary behavior and sleep quality among postmenopausal women residing in China's plateau regions. Particular attention is given to moderating effects of age, body mass index (BMI), and sleep environment. This study aims to identify modifiable risk factors influencing sleep quality in this high-altitude population.

This cross-sectional study focused on postmenopausal women (aged ≥50 years, ≥12 months post-menopause) across four primary plateau regions in China: Qinghai-Tibet, Yunnan-Guizhou, Inner Mongolia, and the Loess Plateau. Sedentary behavior was evaluated with the Older Adults Sedentary Behavior Questionnaire, and sleep quality was assessed with the Pittsburgh Sleep Quality Index. Data analysis encompassed descriptive statistics, correlation analysis, multiple linear regression, and subgroup analyses.

Among the 151 participants (mean age 58.5 years), sedentary behavior was positively correlated with poorer sleep quality (r = 0.36, p < 0.001). Improvements in the sleep environment were similarly associated with better sleep quality (r = 0.29, p < 0.001). Multiple linear regression identified sedentary behavior and sleep environment as significant predictors of sleep quality, while other variables showed no significant associations. Subgroup analysis revealed age-specific effects: sedentary behavior had a strong influence on sleep quality in women under 60 years (r = 0.36, p < 0.01) but demonstrated a weaker, non-significant association in those aged 60 years or older (p = 0.062).

Prolonged sedentary behavior is an independent risk factor for reduced sleep quality among postmenopausal women residing in high-altitude regions, while improvements in the sleep environment are positively associated with better sleep quality. The influence of sedentary behavior on sleep quality varies by age groups. These findings highlight the importance of tailored interventions and health policies to improving sleep quality in postmenopausal women living at high altitudes.

To study the features and mechanisms of development of oxidative stress in animal models during sleep deprivation.

The experiments were carried out on 6-month-old male rats (n=60), which were divided equally into 3 groups. Group 1 included intact animals, groups 2 and 3 were subjected to modeling of chronic sleep deprivation using the method of cyclic sleep restriction. Animals of group 3, in addition to the standard diet, received resveratrol (10 mg/kg, intragastric) daily. On days 0, 1, 3 and 5 of the experiment, the activity of antioxidant enzymes and the concentration of peroxidation products in the blood serum was assessed.

Sleep deprivation in animal models causes an intensification of oxidative processes (increased concentrations of malondialdehyde and diene conjugates) and a decrease in the activity of antioxidant enzymes (catalase, superoxide dismutase, glutathione peroxidase, glutathione reductase).

Sleep deprivation contributes to the accumulation of highly toxic products of lipid peroxidation in the body tissues, which is reflected in metabolic disorders, and a decrease in adaptive capabilities. Additional administration of resveratrol helps to reduce the amplitude of fluctuations in redox balance, which can be considered as a possible way to correct oxidative stress and prevent disorders associated with sleep restriction and dysregulation of the sleep-wake cycle.

Sleep disorders and insomnia are prevalent worldwide, with negative health outcomes. The Pittsburgh Sleep Quality Index (PSQI) is a widely used self-report assessment tool for evaluating sleep quality, comprising seven subdomains. The Korean version of the PSQI (PSQI-K) has been tested for reliability and validity in small sample sizes but lacks large-scale validation using objective measures.

This study was conducted with 268 Korean adults attending health check programs. Participants completed the PSQI-K questionnaire and wore Fitbit devices (Fitbit Inc., USA) to ascertain sleep parameters. Reliability was analyzed using the Cronbach's α coefficient, and construct validity was determined through factor analysis. Criteria validity was assessed by correlating their index scores with Fitbit sleep parameters. We identified the optimal cutoff for detecting sleep disorders.

The Cronbach's α coefficient was 0.61, indicating adequate internal consistency. Factor analysis revealed three factors, explaining 48.2% of sleep quality variance. The index scores were negatively correlated with Fitbit sleep efficiency, total sleep time, and number of awakenings (P<0.05). The optimal cutoff point for identifying sleep disorder groups was ≥6.

The PSQI-K demonstrated good reliability and validity when correlated with Fitbit sleep parameters, offering a practical screening tool for identifying sleep disorders among Korean adults. Cutoff scores can help identify patients for sleep interventions. However, further large-scale studies are required to validate these findings.

Sleep is the foundation of human physiological health and psychological health, as well as one of the basic needs for human survival. Sleep quality problems are prevalent in the population, and poor sleep quality is often closely related to the occurrence of many diseases, which seriously affects the quality of life and may even result in a shortened lifespan, so that improving sleep health has become a real problem that needs to be solved urgently. Exercise, as an important non-pharmacological tool, has been widely used for sleep quality enhancement, while the efficacy of exercise on subjective and objective sleep with respect to individual sleep quality remains controversial. Therefore, the aim of this meta-analysis was to compare the effects of exercise on subjective sleep quality and objective sleep efficiency in a non-athlete population, and to further rank the effectiveness of exercise types to provide appropriate means of exercise to improve sleep.

This study was evaluated by literature search in five databases, PubMed, Embase, Web of Science, Cochrane, and EBSCO, and paired meta-analysis and network meta-analysis were performed using Review Manager 5.3 and stata16.0.

A total of 7494 studies were retrieved, and 81 eligible randomized controlled trials involving 6193 subjects were finally included. The primary outcome metrics included subjective sleep quality (PSQI), and the secondary outcome was objective sleep efficiency (SE), of which 65 reported PSQI and 23 reported SE. The results of paired meta-analysis showed that exercise significantly decreased PSQI [MD = -1.77, (95 % CI = -2.28,-1.25),P < 0.05] and increased SE [MD = 4.81, (95 % CI = 2.89,6.73),P < 0.05]. The results of the network meta-analysis showed that body and mind exercise [MD = -2.28, (95 % CI = -3.19,-1.36),P < 0.05, SUCRA = 85.6] may be the best exercise to improve PSQI, and aerobic exercise [MD = 5.02, (95 % CI = 2.52,7.52),P < 0.05, SUCRA = 75.1] is most likely to be the best type of exercise to improve SE. In regression analyses, there was a moderating effect of exercise cycle (β = -0.25 [0.40, 0.46], SE = 0.10 [P = 0.015, R2 = 0.24]) and age (β = -0.20 [-0.04, -0.01, SE = -2.06 [P = 0.039,R2 = 0.16]) as moderators of objective sleep efficiency.

Exercise is effective in improving both subjective and objective sleep quality. Body and mind exercise, aerobic exercise, and aerobic combined with resistance exercise may be the preferred way to improve sleep, and the longer the exercise cycle, the more obvious the improvement in sleep effect, the improvement effect will gradually decrease with age.

To investigate the sleep quality of incoming college freshmen who have completed college entrance exams but have not yet entered college, to identify associated factors, and the mediating role of siesta characteristics on the relationship between siesta duration and sleep quality. This study included 6,519 incoming freshmen from two colleges in Xuzhou city, China. Weighted multiple linear regression (MLR) and binary logistic regression (BLR) were employed to investigate the factors associated with sleep quality. Mediation analysis was conducted to examine the influence of siesta characteristics on sleep quality and siesta duration. Stratified analysis was conducted based on gender and college level to examine the correlation between sleep quality and siesta durations (1-29 min, 30-50 min, ≥ 60 min). Both regression models found that longer siesta duration was a risk factor for poor sleep quality. Mediation analysis demonstrated that sleep position, the interval between lunch and the siesta, and the subjective rating of sleepiness 30 min after the siesta mediated this relationship. Male students with 30-59 min siestas, junior college freshmen with 1-29 min siestas, and undergraduate freshmen with ≥ 60 min siestas exhibited an increased risk of poor sleep quality compared to their counterparts without siestas. Furthermore, lifestyle behaviors and physical activity were also found to impact sleep quality. Longer siesta duration has been identified as a risk factor for sleep quality, especially in incoming undergraduate and male students. Some siesta characteristics mediate the relationship between them.

Sleep is essential for maintaining optimal health. Both sleep duration and quality have been linked to various physiological functions and physical and mental health outcomes. Nutrition has been shown to impact sleep parameters, from the nutrient composition of foods, such as tryptophan levels, to the physiological response to foods, such as the glucose response. However, the relationship between glycemic control and sleep, and its impact on next-day benefits, particularly on cognitive performance, remains complex and is not fully understood. This narrative review aims to explore the relationship between glycemia and sleep, and how it may affect cognitive performance the following day. The review includes data from observational and interventional studies, discussing mechanisms of action that may explain the modulating effect of glycemia on sleep and cognition. The evidence suggests that lower postprandial glucose and low variation of nocturnal glucose are associated with better sleep quality and shorter sleep onset latency. Good sleep quality, in turn, is positively associated with cognitive processes such as sustained attention and memory consolidation measured the next day after sleep. Future research opportunities lie in investigating the effects of modulating the glycemic and insulinemic responses through evening meals on sleep quality and next-day cognitive performance. Well-designed clinical trials involving healthy individuals are necessary to establish the effects of these interventions. Controlling glycemic and insulinemic profiles through the evening meal may have significant implications for improving sleep quality and cognitive performance, with potential impact on individual mental health, productivity, and overall well-being.

Inflammatory bowel disease (IBD), encompassing ulcerative colitis and Crohn's disease, is a heterogeneous chronic condition characterized by periods of relapse and remission. Ulcerative colitis involves inflammation of the colon and rectum mucosa, while Crohn's disease causes deeper, transmural inflammation affecting all four gut layers from the mouth to the anus and can lead to complications such as fistulation. IBD significantly impacts patients' physical and psychological well-being, thus reducing their quality of life (QoL). We aimed to evaluate the effectiveness of nursing intervention facilitated through telephone and email support in improving the quality of life (QoL) of Inflammatory Bowel Disease (IBD) patients.

A pilot comparative observational design with pre-test and post-test assessments was employed, involving 50 participants assigned to either an intervention group (Group A, n = 26) or a control group (Group B, n = 24). Group A received regular telephone consultations and prompt email responses from trained nurses; Group B received standard care. Data were collected at baseline and six months post-intervention (T1) using the Patient-Reported Outcomes Measurement Information System (PROMIS®) and Pittsburgh Sleep Quality Index.

Group A showed significant improvements in anxiety, depression, fatigue, and sleep quality, with p-values indicating the significance of these findings.

Tailored nursing support via remote communication significantly benefits IBD patients by alleviating psychological distress and enhancing their overall well-being, underscoring the importance of integrating such interventions into standard IBD care practices.

Previous studies have adequately demonstrated that physical activity or healthy sleep duration can reduce the risk of hypertension. However, the combined effects of physical activity and healthy sleep on hypertension have not been well explored in studies using nationally representative samples.

The data were obtained from the National Health and Nutrition Examination Survey (2007-2018). Sleep duration and physical activity were obtained from self-reported questionnaires. Survey logistic regression and restricted cubic spline curves were used to evaluate the joint effects of physical activity and healthy sleep duration on hypertension.

A total of 18,007 participants were enrolled in the main study. Physical activity was categorized into insufficient physical activity (600 < Met-min/week) and sufficient physical activity (≥600 Met-min/week). Sleep duration of ≤6 or ≥9 hours was defined as unhealthy sleep duration, and 7-8 hours was defined as healthy sleep duration. Compared to the individuals with unhealthy sleep duration and insufficient physical activity, only the participants with healthy sleep duration and sufficient physical activity (adjusted odds ratio: 0.76, 95% CI 0.66-0.88) were negatively associated with hypertension, while the participants with healthy sleep duration but insufficient physical activity or sufficient physical activity but unhealthy sleep duration were not associated with hypertension. Physical activity was nonlinearly associated with hypertension in the healthy sleep duration group, whereas in the unhealthy sleep duration group, physical activity was not associated with hypertension.

Our findings indicate that sufficient physical activity and healthy sleep duration were negatively associated with hypertension. This underscores the importance of integrating both sufficient physical activity and healthy sleep duration in strategies aimed at reducing hypertension risk.

To investigate the association between temporal patterns of objectively measured moderate-to-vigorous physical activity (MVPA) and all-cause and cause-specific mortality in the general population and people with abnormal glucose metabolism (AGM) or hypertension. This prospective cohort study collected accelerometer data from the National Health and Nutrition Examination Survey from 2003 to 2006 with linkage to the National Death Index records through 31 December 2019 in the United States. Baseline 7-day accelerometry data were analysed and participants were categorized into 5 groups: morning/midday (05:00-13:59), afternoon (14:00-16:59), evening (17:00-19:59), night (20:00-00:59), and mixed MVPA timing groups. Cox regression analysis was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) between temporal patterns and mortality. A total of 5976 adults (mean [SE] age, 46.4 [0.5] years; 52.1% women) were included and 1371 participants died during a median follow-up of 14.6 years. Compared with the mixed group, the night group had 22% to 77% higher risks of all-cause and cardiovascular mortality in the overall sample and AGM and hypertension subsamples. In people with hypertension, the morning/midday group showed a 31% higher risk of cardiovascular mortality. For those with AGM, the evening group had 90% to 185% higher risks of all-cause and cardiovascular mortality.

Background: The study of working conditions and the quality of life (QoL) of medical workers has not lost its relevance worldwide. This highlights the need to understand the many aspects of life that may characterize physician performance and satisfaction with working conditions. This is extremely important for providing quality and safe medical care. This research aims to study dentists' lifestyles and working conditions in the Republic of Kazakhstan and the impact of these indicators on their QoL. Methods: This article presents the results of a cross-sectional survey of a sociological questionnaire conducted with the participation of 254 dentists in Kazakhstan. Results: Only a third of dentists follow a healthy lifestyle. In total, 39% of dentists currently smoke, and 24% drink alcohol. Dentists with more than 20 years of experience have a worse QoL and have the lowest scores in all domains compared to dentists with less experience. The lowest score was scored for mental health (mean = 51.81). On all scales, dentists who worked more than 40 h a week reported decreased QoL; the lowest score was in the "mental health" domain (mean = 52.80). Conclusion: The QoL of dentists in Kazakhstan is negatively affected by their working hours and long working experience. Measures are necessary to improve their working conditions, work schedule planning, and mental health.

Background: Preclinical studies have suggested that dietary creatine may affect sleep quality yet no studies have explored the potential association between creatine consumption and sleep patterns or disorders in the general population. Aim: This cross-sectional study aims to examine the association between creatine consumption and sleep habits and disorders among individuals aged 16 years and older, using data from the 2007-2008 National Health and Nutrition Examination Survey (NHANES). Methods: The analysis included 5988 individuals (50.5% females) with a mean age of 47.4 ± 19.5 years. Daily creatine intake was assessed through individual in-person 24-h food recall interviews, categorizing respondents into two groups: those with suboptimal creatine intake (<1.00 g per day) and those meeting recommended intake (dietary creatine ≥ 1.00 g per day). Sleep was evaluated during household interviews using questions on sleep habits and disorders from the NHANES Sleep Disorders component. Results: The average daily creatine intake among participants was 0.88 ± 0.85 g (95% CI, 0.86 to 0.90), while the mean nightly sleep duration was 6.8 ± 1.5 h (95% CI, 6.8 to 6.9). Additionally, 1331 respondents (22.2%) reported consulting a doctor or health professional for sleep-related issues. Participants with suboptimal creatine intake had a significantly higher prevalence of trouble sleeping compared to those consuming recommended amounts (23.7% vs 19.3%; P < 0.01), with an odds ratio of 1.30 (95% CI: 1.13 to 1.48) for experiencing sleep disturbances. However, the prevalence of more severe sleep disorders did not differ significantly between the two creatine sub-populations (P > 0.05). Conclusion: Our findings suggest that participants meeting recommended creatine intake levels had a reduced risk of experiencing mild sleeping difficulties. These findings may serve as a basis for future interventional studies aimed at validating and confirming the potential benefits of dietary creatine in the field of sleep medicine.

The objectives are to explore the relationship between study stress and anxiety in high school students and the mediating role of physical activity and mobile phone addiction.

A cross-sectional study.

129 high schools were randomly selected in 13 cities of Jiangsu province, China.

High school students aged 16-19 years, age and gender balance. A total of 40 000 questionnaires were distributed, with 32 974 effectively recovered.

Questionnaires were administered offline, covering four parts: General Demographics, Learning Stress Scale, International Physical Activity Questionnaire, Mobile Phone Addiction Scale and Generalized Anxiety Scale-7. Data analysis included path analysis and correlation analysis, along with descriptive statistics, independent sample t-test, correlation analysis and structural equation model.

In this study, the proportions of anxiety, high academic pressure, low physical activity level and high mobile phone addiction were 58.18%, 46.48%, 36.40% and 39.26%, respectively. Study stress was positively correlated with anxiety (r=0.130, p<0.01) and mobile phone addiction (r=0.049, p<0.01). Physical activity was negatively correlated with learning stress (r=-0.352, p<0.01), anxiety (r=-0.105, p<0.01) and mobile phone addiction (r=-0.040, p<0.01). The findings were tested by mediating effect analysis that the indirect effect size value of the path 'learning stress → physical activity level → anxiety path' was 0.461, 95% CI of Bootstrap (0.367, 0.554), the mediating effect was significant. The indirect effect size value of the path 'learning stress → mobile phone addiction → anxiety' was 0.072, 95% CI of Bootstrap (0.042, 0.102), and the mediating effect was significant. The indirect effect size value of the path 'learning stress → physical activity level → mobile phone addiction → anxiety' was 0.072, and the 95% CI of Bootstrap (0.226, 0.400), and the mediating effect was significant.

High school students' learning stress can significantly positively predict anxiety levels. High school students learning stress indirectly predicts anxiety through the independent mediating effect of physical activity and mobile phone addiction, as well as the chain mediating effect of physical activity and mobile phone addiction.

Recent research has shown significant individual differences in COVID-19 psychosomatic symptoms. However, there has been a lack of studies investigating the influence of physical and psychological factors on these symptoms and their underlying mechanisms. This study aims to fill this gap by investigating the predictive role of self-compassion and social support on COVID-19 psychosomatic symptoms, as well as the potential mediating role of sleep quality.

Data were collected from 636 participants infected with COVID-19 during the early post-pandemic reopening phase in China. The measurement tools used in the current study included the Self-Compassion Scale, the Perceived Social Support Scale, Self-Rating Scale of Sleep, and a COVID-19 Psychosomatic Symptom Diary.

A structural equation model revealed that: (1) social support directly predicts COVID-19 psychosomatic symptoms; (2) sleep quality fully mediates the relationship between self-compassion and COVID-19 psychosomatic symptoms; and (3) sleep quality partially mediates the relationship between social support and COVID-19 psychosomatic symptoms.

These findings not only confirm previous research but also provide new insights into the intricate interplay between psychological and physical factors and their influence on COVID-19 psychosomatic symptoms. The implications of these findings may inform the development of targeted rehabilitation programs in the post-pandemic era of the "new normal".

Not applicable.

Prior studies evaluating sleep quality have found that women often have better polysomnography-defined sleep quality than men, but women subjectively report a greater frequency of sleep disturbances. Although these studies can be partially attributed to study design, it is currently unclear what may be causing these discrepancies. In this study, we aim to identify potential differences in objectively assessed sleep quality between men and women with further emphasis on subgroup analysis based on age. We hypothesize that women's sleep worsens after menopause. Sleep quality was assessed by comparing the Sleep Quality Index, Arousal Index, sleep efficiency and apnea-hypopnea index, as provided by the SleepImage Ring@ 2.3.0, between men and women, with a sub-group analysis performed by age (18-40 years, 41-50 years, 51-60 years, 61-70 years, and > 70 years), run separately for women and men. In total, 1444 subjects (704 women and 740 men) with a mean age of 53.6 ± 14.71 years were enrolled in this analysis. In women, a significant drop in Sleep Quality Index was noted after age 51 years. Regression analysis demonstrated that age, Arousal Index, sleep efficiency and apnea-hypopnea index correlated significantly with Sleep Quality Index - with age, Arousal Index and apnea-hypopnea index negatively correlated, and sleep efficiency positively correlated. The highest correlation coefficient was obtained for Arousal Index in both women and men. In women, age older than 50 years was associated with a more rapid decrease of sleep quality than men, as defined by an increase in Arousal Index and apnea-hypopnea index with a concurrent decrease in Sleep Quality Index.

Limitations of conventional treatment methods for sleep disorders have driven the use and development of complementary and alternative therapies such as acupuncture. However, despite the surge in related studies, there is still a lack of visual analysis and detailed elaboration regarding the current status, international collaborations, and research hotspots of acupuncture for sleep disorders.

We conducted a bibliometric analysis of publications on acupuncture for sleep disorders using the Web of Science Core Collection database from 2004 to 2023. We utilized the R package "bibliometrix" to count publications and citations, VOSviewer to create an inter-institutional referencing network, and CiteSpace to identify references and keywords with the highest citation bursts. Additionally, we employed a bibliometric online analysis platform designed for analyzing national partnerships.

A total of 432 pertinent papers were retrieved, with China being the most prolific contributor, accounting for 61.6% of the publications, followed by the United States and South Korea. Despite China's high output, its average article citation rate and proportion of international collaborations were notably lower than those of the United States. Key research institutions such as the University of Hong Kong, Shanghai University of Traditional Chinese Medicine, Memorial Sloan Kettering Cancer Center, and Guangzhou University of Chinese Medicine have played significant roles in this field. Among authors, Ka-Fai Chung from the University of Hong Kong stood out as the most productive. In terms of journals, MEDICINE was the most active, while SLEEP was considered the most authoritative. The clinical effects of acupuncture for insomnia have garnered significant attention in recent years, with electroacupuncture emerging as the prevailing technique for addressing sleep disorders.

This bibliometric study effectively outlines the basic framework of knowledge surrounding acupuncture for sleep disorders over the past two decades, covering publications, countries, institutions, authors, and sources. It highlights promising clinical effects and underlying mechanisms of acupuncture, particularly for secondary insomnia and specific sleep disorders like restless legs syndrome. Moving forward, the focus and challenge for future research lie in the development of standardized study protocols and harmonization of efficacy assessment metrics.

This study aimed to explore the combined association between the dietary antioxidant quality score (DAQS) and leisure-time physical activity on sleep patterns in cancer survivors. Data of cancer survivors were extracted from the National Health and Nutrition Examination Surveys database in 2007-2014 in this cross-sectional study. Weighted multivariable logistic regression models were used to estimate OR and 95 % CI for the association of DAQS and leisure-time physical activity on sleep patterns. The combined association was also assessed in subgroups of participants based on age and use of painkillers and antidepressants. Among the eligible participants, 1133 had unhealthy sleep patterns. After adjusting for covariates, compared with low DAQS level combined with leisure-time physical activity level < 600 MET·min/week, high DAQS level combined with leisure-time physical activity ≥ 600 MET·min/week was associated with lower odds of unhealthy sleep patterns (OR = 0·41, 95 % CI: 0·23, 0·72). Additionally, the association of high DAQS level combined with high leisure-time physical activity with low odds of unhealthy sleep patterns was also significant in < 65 years old (OR = 0·30, 95 % CI: 0·13, 0·70), non-painkiller (OR = 0·39, 95 % CI: 0·22, 0·71), non-antidepressant (OR = 0·49, 95 % CI: 0·26, 0·91) and antidepressant (OR = 0·11, 95 % CI: 0·02, 0·50) subgroups. DAQS and leisure-time physical activity had a combined association on sleep patterns in cancer survivors. However, the causal associations of dietary nutrient intake and physical activity with sleep patterns in cancer survivors need further clarification.

The microbial-gut-brain axis has received much attention in recent years, and regulating intestinal flora can effectively improve sleep disorders, which hints the potential effects of probiotics on sleep disorders, but lack of research evidence for meta-analysis. Therefore, this study aims to quantitatively evaluate the influence of probiotics on sleep disorders and sub-healthy sleep conditions.

Up to 2023, online databases including Pubmed, Embase, Cochrane library, Web of science have been searched for studies involving adults who consume probiotics or paraprobiotics in controlled trials, during which, changes in subjective and/or objective sleep parameters and contributing factors in sleeping quality are examined. We conduct a meta-analysis of 11 clinical randomized controlled studies.

Probiotic supplementation improves sleep states to some extent in adults with sleep disorders and healthy adults with condition-induced sleep disorders (-0.34 [-0.56 to -0.13]; I 2 = 42.6%; p = 0.001). Meanwhile, subgroup analysis shows that the effect of probiotics on improving sleep disorders is influenced by other factors such as the health states of the subjects, the duration of the intervention, the type of strain, and the test criteria.

Probiotics and paraprobiotics have a significant positive effect on the sleep quality of adults with sleep disorders or sub-healthy sleep conditions. However, the therapeutic effects of probiotics on sleep problems need future additional trials.

https://inplasy.com/inplasy-2022-12-0066/, identifier 2022120066.

The search for integrative and natural therapies that favor homeostasis to boost sleep and diet quality took place for young adult populations as a non-pharmacological strategy for long-term good quality of life. Thus, the present pilot study aims to investigate the effects of 90-day consumption of a nutraceutical composition on the neuro-immune-endocrine axis, providing better sleep quality and health improvement.

For this, from March 2021 to June 2021, twenty-two Brazilian young adult volunteers (women and men) with BMI between 18.5 and 34.9 kg/m2 were divided into three distinct supplementation groups: NSupple; NSupple plus_S, and NSupple plus. Briefly, the supplement compositions included yeast β-glucan, prebiotics, and minerals in different concentrations associated or not with the herbal medicine silymarin. Neither nutritional nor physical activity interventions were performed during this pilot study period. The anthropometrics measures, questionnaires answer data, and harvest blood for metabolic, inflammatory, and hormonal tests were collected at baseline time (day zero-T0) and day 90 (T90) post-supplementation.

Our results highlight that the supplementation reduced body mass index (BMI), Waist-to-height ratio (WHtR), waist circumference, AST/ALT ratio, alkaline phosphatase, and HbA1c. Post-supplementation the IL-6 and IL-10 levels and the sleep, humor, and quality of life scores were suggested to improve. Sleep quality improvement seems to predict the reduction of adiposity-related body measures.

In sum, the nutraceutical supplementation might be related to anthropometric, metabolic, and endocrine parameters after 90 days reflecting on perception of humor, sleep, and life quality enhancement. However, it is important to recognize the limitation of the data presented considering that this was a pilot study.

ClinicalTrials.gov, identifier NCT04810572 registered on 20th February 2021.

To measure sleep patterns and quality during summer vacation and weeks 1-4 of the academic year among female university students.

This retrospective prospective cohort study included female students at a university in Riyadh, Saudi Arabia. Participants were recruited with convenience sampling and completed questionnaires online. The questionnaire asked about 5 occasions using the Sleep Quality Scale (SQS) and about their sleep schedule during summer vacation and weeks 1-4 of the academic year.

There were 385 participants. The number of students who slept before midnight increased over time from n=127 (32.9%) students during vacation to n=172 (44.6%) students in week 4 (p<0.001). The average sleep hours decreased from 8.97 (standard deviation (SD)=2.6) hours during summer to 7.01 (p<0.001, SD=2.7) hours in week 4. Students reported poorer sleep quality during the academic year, particularly in week 1 (p=0.023), than summer. Students reported higher satisfaction with sleep during summer vacation (n=97; 25.2%) than week 1 (n=38; 9.9%) and week 4 (n=36; 9.4%) (p<0.001). Students experienced daytime fatigue and tiredness (n=79; 20.5%; p=0.002) and low concentration in week 4 (n=79; 20.5%; p<0.001) compared to summer.

In the studied population, multiple sclerosis was the most prevalent cause of ON. Women were more likely to have ON. The prognosis for eyesight was substantially connected with the length of ON.

Background: Sleep is essential for health, especially during adolescence. However, most adolescents do not obtain the recommended 8 to 10 h of sleep, and their health is significantly affected. While both physical activity (PA) and diet have been shown to help improve the sleep quality and duration, the combined association of these two factors with sleep has yet to be analysed. Objectives: Therefore, the main objective of this study was to assess the evidence on the combined association of PA and diet with the quality and duration of sleep in adolescents. Secondary objectives were to analyse the evidence on the single association of PA with the quality and duration of sleep in adolescents and to analyse the single association of diet with the quality and duration of sleep in adolescents. Methods: To this end, a scoping review was conducted with a structured search in four online databases (PubMed, Scopus, Web of Science and ERIC). Results: The findings suggest that the amount of PA (time/week) and healthy dietary patterns, characterised by meal regularity and high consumption of fruits and vegetables, favour a better quality and a longer duration of sleep. Conversely, less weekly PA and the intake of less healthy foods, such as ultra-processed foods, are associated with decreasing the sleep quality and duration. Conclusions: In conclusion, the results underscore the importance of considering PA and diet as an appropriate approach to investigating sleep quality and duration in adolescents. Studies analysing the interplay between PA, diet and sleep in adolescents are scarce.

Cardiometabolic diseases remain the leading cause of death in the United States. Lifestyle factors contribute the majority of risk for these diseases. Although diet and exercise have been the primary focus of research on modifiable behaviors to target for interventions to prevent cardiometabolic disease, recent evidence suggests that sleep also plays an important role. Indeed, the updated American Heart Association campaign includes sleep as one of its "Essential Eight". This review details the reciprocally reinforcing positive relationship between sleep and daytime physical activity behaviors and explores how this relationship differs based on age, gender and race. For example, interventions to improve moderate intensity physical activity may be particularly beneficial to women, older adults, and Black Americans, who are at increased risk for sleep disturbances. Communicating to Americans the importance of managing their time to meet current physical activity and sleep recommendations is a challenge given that there are so many competing behaviors consuming large amounts of time (e.g., social media, gaming), but is critical given the importance of these behaviors for cardiometabolic health.

The aim of this study was to investigate the longitudinal association of sleep with physical performance in a representative sample of non-institutionalised older adults residing in the municipality of São Paulo, Brazil.

Prospective cohort study.

The current longitudinal study used data extracted from the Health, Well-being, and Aging Study (Estudo Saúde Bem-Estar e Envelhecimento [SABE]). The study population consisted of individuals aged ≥60 years who participated in the study in 2010 or 2015. Dependent variables included the Short Physical Performance Battery (SPPB) and gait speed. Independent variables of interest were self-reported sleep difficulty, daytime sleepiness and sleep quality. The longitudinal association between sleep variables and the outcomes was evaluated using Generalised Estimating Equations (GEE) Models adjusted for covariates. All the variables, except age, sex and schooling, were assessed at baseline and follow-up visits (2010 and 2015).

The analyses included 2205 observations from 1559 individuals. The population mean age was 72 years in 2010 and 71 years in 2015, with a higher prevalence of women in both years. Between 2010 and 2015, there was a decline in the SPPB score and gait speed. Daytime sleepiness was negatively associated with the SPPB score [Coef.: -0.38 (95% confidence interval {CI}: -0.56, -0.21)] and gait speed [Coef.: -0.03 (95% CI: -0.05, -0.01)]. Poor sleep quality was negatively associated with the SPPB score [Coef.: -0.29 (95% CI: -0.57, -0.01)] and gait speed [Coef.: -0.03 (95% CI: -0.06, -0.00)].

Daytime sleepiness and poor sleep quality are associated with compromised physical performance in non-institutionalised older adults, and this association remained consistent over time.

Members of consecrated life communities exhibit homogeneity with regard to factors that are relevant to health, including diet, daily activities, religiosity, and housing. This may be indicative of the manner in which the community influences the formation of the health-seeking attitudes of its members.

The objective of this study was to validate a survey about health awareness and health-seeking attitudes among consecrated people and to identify potential issues to be improved. In addition, the study aspires to provide insights into the lifestyles of consecrated persons in Poland, based on the results of the survey and available data.

The study group included 27 female participants, members of societies of apostolic life and non-habitual apostolic religious congregations of the Roman Catholic Church. The participants were invited to express their comments and suggestions on the survey, with the purpose of validating the survey before using it as a tool for a larger study.

All participants agreed that nutrition, rest, and physical activity had a significant impact on health. A total of 89% of participants considered their lifestyle as healthy and a similar proportion indicated that living in a consecrated community had a positive impact on their health, with the most positive influence of factors related to spiritual exercise, rhythm of the day, and sense of interpersonal connection within the community. Approximately 44% of participants indicated that their attitude was based on a healthy diet and adequate sleep quality. However, they identified an existing need to improve the balance between work and rest. Additionally, 4% of respondents admitted irregular eating habits, ignoring quality of alimentary products, non-satisfactory rest time, and insufficient sleep.

Even though the purpose of this study was only to validate a survey predestined for a larger study, it already gives an insight into the level of awareness of health behavior and lifestyle of residents of religious communities.