Search Results (3,866)

This study aimed to examine the impact of online social support on sleep quality and the potential roles of psychological resilience and digital literacy in this relationship. A cross-sectional survey was conducted with 606 university freshmen from a college in Hengyang City, Hunan Province, China, using cluster random sampling. Data were collected using the Online Social Support Questionnaire, Pittsburgh Sleep Quality Index (PSQI; note that higher PSQI scores indicate poorer sleep quality), Connor–Davidson Resilience Scale, and Domestic College Student Digital Literacy Assessment Scale. Statistical analysis was conducted using SPSS 27.0, with mediation effects tested via the PROCESS macro. The analytical results demonstrated that online social support showed a significant negative predictive effect on the sleep quality of university freshmen (β = −0.11, p < 0.01); psychological resilience exhibited a suppression effect (i.e., opposing direct and indirect effects) between online social support and sleep quality; and digital literacy moderated the first half of the mediation pathway (β = 0.18, p < 0.001). Collectively, this study shows that online social support directly harms sleep quality but indirectly benefits it by enhancing psychological resilience. Digital literacy serves as a key moderator that amplifies this beneficial indirect effect. These findings provide significant theoretical and practical insights for developing campus health promotion initiatives. Full article

This study aims to provide insights into how physical activity is associated with sleep patterns in youth populations, in particular, Slovak adolescents, and how gender (boys vs. girls) and age (≤16 vs. ≥18) moderate this relationship, using an extreme-group comparison approach that excludes 17-year-olds to enhance contrast between developmental stages. Using a cross-sectional design, self-reported data were collected from 2504 (100%) high school students (aged 15–19; 45.6% boys, 54.4% girls) using the International Physical Activity Questionnaire-Short Form (IPAQ-SF) and the Pittsburgh Sleep Quality Index (PSQI). Participants aged 17 years were excluded from age-stratified analysis to create clearer separation between early/mid and late adolescence. The primary outcome was global sleep quality (PSQI > 5). Secondary outcomes included sleep duration and PSQI component scores. All other analyses (age- and gender-stratified comparisons and interaction models) were predefined as exploratory and hypothesis-generating to examine potential effect modification. Age-stratified analyses among girls showed that, within the low PA group, good sleep was reported by 37.7% of younger girls (≤16) and 28.6% of older girls (≥18). Among older girls, the proportion reporting good sleep increased to 49.8% in the high PA group (χ² = 29.16, p < 0.001). No consistent associations between PA and sleep quality were observed among boys; however, significant association was identified among younger boys (≤16 years), which was not observed in older boys. Logistic regression revealed a modest interaction between age and PA level in predicting sleep quality among girls (β = 0.346, p = 0.049), suggesting small age-dependent variation in the association. This effect should be interpreted cautiously given its borderline statistical significance. Component-level PSQI analyses showed that girls experienced higher rates of sleep disturbances (χ² = 91.40, p < 0.001), longer sleep latency (χ² = 26.71, p < 0.001), and greater daytime dysfunction (χ² = 79.90, p < 0.001). These findings provide region-specific evidence from Central and Eastern Europe and underscore the need for age- and gender-sensitive public health strategies targeting both physical activity promotion and better sleep outcomes, given their observed associations. Full article

Heart rate variability (HRV) has emerged as a key biomarker for assessing autonomic nervous system activity, stress, fatigue, and emotional states. With the rapid development of wearable sensor technologies, HRV analysis has expanded from clinical environments to real-world, continuous monitoring. This review summarizes current applications of HRV metrics in wearable devices, including fitness tracking, mental stress assessment, sleep quality evaluation, and early detection of physiological or psychological disorders. Recent advances in photoplethysmography (PPG)-based HRV estimation have enabled noninvasive and user-friendly measurement, though challenges remain in accuracy under motion and variable environmental conditions. We also discuss methodological considerations, such as artifact correction, data segmentation, and the integration of HRV with other biosignals for multimodal analysis. Emerging research suggests that combining HRV with metrics such as respiration rate, skin conductance, and accelerometry can enhance robustness and interpretability in dynamic settings. Finally, future directions are proposed toward personalized health analytics, emotion-aware computing, and real-time adaptive feedback systems. This review highlights the growing potential of wearable HRV analysis as a foundation for preventive healthcare and human–machine symbiosis. Full article

Background/Objectives: Sufficient sleep quantity/quality in infancy is crucial for healthy development, so it is important to identify early associated predictive factors. Research findings highlight salient endogenous (infant temperament) and exogenous (breastfeeding) influences, though no known studies have examined nuanced and interactive relations among these variables from early to late infancy/toddlerhood. Thus, the current study examined the main and interaction effects of these variables on infant sleep at 6 and 14 months while controlling for prenatal cortisol exposure. Methods: Data from a subsample (n = 79) of the Infant Development and Healthy Outcomes in Mothers Study were used, including prenatal maternal saliva samples assayed for cortisol and maternal questionnaires that included retrospective reporting of infant temperament, sleep quality and quantity, and breastfeeding frequency. Results: Multiple linear regression results include a statistically significant negative relation between prenatal maternal cortisol area under the curve and 6-month infant sleep quantity. A greater breastfeeding frequency at 6 months was associated with decreased 6-month sleep quality via conditional but not interaction effects. Greater 6-month infant Surgency was associated with better sleep quality at 14 months. There were no statistically significant interaction effects. Conclusions: The findings suggest that maternal psychophysiological stress has a significant influence on infant sleep duration, while research should further investigate the role of infant temperament and breastfeeding in shaping infant sleep quality. Significant conditional effects highlight patterns that should be re-examined with a larger sample to determine whether infant temperament may buffer against negative associations between breastfeeding frequency and infant sleep quality in early and late infancy in a developmental stage-consistent manner. Future replication studies should include a multi-method, longitudinal assessment of all key study variables, as well as a larger, more sociodemographically diverse sample of maternal–infant dyads. Full article

Childhood obesity is a growing global health problem with significant biomechanical and psychosocial consequences. While many studies have examined these domains separately, few integrate postural abnormalities, psychophysical functioning, and lifestyle factors within a single framework. This narrative review synthesises the literature published between 2005 and 2025 to summarise current evidence and identify research gaps. The findings indicate that overweight and obesity increase the risk of musculoskeletal deviations such as genu valgum, flat feet, and increased lumbar lordosis, as well as altered gait biomechanics and reduced motor competence. Excess body weight is also associated with lower self-esteem, negative body image, depressive symptoms, and reduced health-related quality of life in children and adolescents. These outcomes appear to be influenced by modifiable lifestyle factors, including parental health behaviours, sleep patterns, and screen time, although reported associations remain inconsistent. Notably, few studies address biomechanical, psychological, and environmental factors simultaneously, which limits the understanding of their interactions. To address this gap, a prospective observational study of 250–300 children aged 7–17 years is proposed. The study will combine objective postural assessments, validated psychometric tools, and lifestyle analyses at baseline and after a 12–14-month follow-up. This integrated approach aims to identify postural compensation patterns, psychosocial risk trajectories, and modifiable behavioural predictors associated with childhood obesity, supporting the development of early preventive and interdisciplinary interventions. Full article

Background: Subclinical psychological symptoms—such as low mood, perceived stress, and poor sleep—affect a large portion of the population and can impair quality of life despite remaining below clinical thresholds. The gut–brain axis has emerged as a promising target for interventions that support emotional and psychological resilience. Probiotics and postbiotics are gaining attention for their potential to modulate mood and stress via microbiome-related mechanisms, but human evidence remains limited, particularly in non-clinical populations. Objectives: We aimed to assess the effects of a two-strain combination of live microorganisms alongside a two-strain combination of heat-treated inactivated microorganisms on outcomes associated with anxiety, mood, perceived stress, and quality of life in healthy adults experiencing mild stress. Methods: This study was conducted in two parts. In Part I, a randomized, double-blind, placebo-controlled study, 100 participants were randomized to receive either a blend of live microorganisms (Bifidobacterium longum CECT 7347 and Lactobacillus rhamnosus CECT 8361) or an identical placebo once daily for 12 weeks. In Part II, a pilot feasibility study, a subset of eight placebo non-responders from Part I received the heat-inactivated preparation of the same bacterial strains in a 6-week trial extension phase. For Parts I and II, the primary outcome was the change in the Hamilton Anxiety Rating Scale (HAM-A). Secondary outcomes included measures of mood (Beck Depression Inventory (BDI); Patient Health Questionnaire-9 (PHQ-9)), stress (state and trait anxiety inventory (STAI); Perceived Stress Scale (PSS)), sleep (Pittsburgh Sleep Quality Index (PSQI)), quality of life (36-item Short Form Survey (SF-36)), gastrointestinal symptoms (Gastrointestinal Symptom Rating Scale (GSRS)), salivary cortisol and microbiome modulation. Results: In Part I, there were no significant effects of the live blend on the HAM-A, indicating that the primary endpoint was not met. In addition, no significant effects were seen on the STAI or PSS scores when compared to the placebo. However, participants consuming the live blend trended toward a reduction in total PHQ-9 scores compared to placebo (p = 0.089), whilst preliminary exploratory analyses suggested an improvement in anhedonia (p = 0.045). Furthermore, there was a significant improvement in the vitality domain of the SF-36 compared to placebo (p = 0.017). On microbiome analysis, it was noted that consumption of the live blend was linked to the preservation of butyrate-producing bacteria, particularly members of the Pseudoflavonifractor genus and the Clostridium SGB6179 species. Furthermore, the abundance of B. longum species was found to be inversely associated with the total PSS Scores. In Part II, supplementation with the inactivated preparation resulted in significant within-group improvements for the vitality (p = 0.006) and social functioning (p = 0.010) domains of the SF-36 and improvements in PSS scores compared to baseline (p = 0.050). Conclusions: Supplementation with either the dual-strain live or inactivated formulations was associated with significant improvements in the vitality domain of the SF-36, whilst participants receiving the inactivated formulation demonstrated lower perceived stress and improved social functioning compared to baseline. Overall, the findings from this pilot study suggest that these two biotic consortia are well-tolerated and may be associated with improvements in measures of vitality in individuals with subclinical psychological symptoms. The subtle observations detected for stress and anhedonia suggest that further well-powered trials are needed to better characterize these findings, potentially in populations with greater baseline symptomatology. Full article

Background: Although air pollution is increasingly considered an environmental hazard for inflammatory bowel disease (IBD), existing evidence predominantly relies on single-pollutant models that fail to capture mixed exposures, with modifying effects of individual lifestyle and residential environments remaining largely unexplored. Methods: We conducted a prospective cohort study using UK Biobank data, including 323,608 participants followed for incident IBD. Annual mean concentrations of five air pollutants [nitrogen dioxide (NO₂), nitrogen oxides (NO_x), and PM with aerodynamic diameters of ≤2.5, 2.5–10, and ≤10 μm (PM_2.5, PM_2.5–10, PM₁₀)] and greenspace percentage within 300 m and 1000 m buffers were assigned to each participant’s residential address. A healthy lifestyle score was defined by five factors: smoking status, alcohol consumption, physical activity, sleep patterns, and dietary quality. Cox proportional hazards models with quantile g-computation (QGC) were employed to examine associations between single- and mixed-air-pollutant exposures and IBD risk. Stratified analyses were performed by healthy lifestyle, lifestyle score, and greenspace percentage. Results: During the follow-up period, 1649 and 805 participants developed ulcerative colitis (UC) and Crohn’s disease (CD), respectively. Single-pollutant models suggested that exposures to most air pollutants were substantially associated with increased risk of IBD, and the association strengths were more pronounced for UC than for CD. QGC analyses indicated that the hazard ratios (HR) of IBD risk were 1.068 (95%CI: 1.018–1.121) for each one-quantile increase in the air pollutant mixture, with NO₂ weighted as the largest contributor. High physical activity was significantly linked to an attenuated UC-pollutant mixture association. Conclusions: This study found that exposure to an air pollutant mixture was associated with increased risk of IBD, especially for UC, with NO₂ contributing the largest effect size. The certain attenuated air pollution effects of healthy lifestyles and residential greenspaces underscore the need for integrated public health strategies with environmental management. Full article

Post-exercise appetite loss may interfere with adequate recovery nutrition in athletes; however, the substantial inter-individual variability in appetite responses remains insufficiently understood. This exploratory cross-sectional study investigated lifestyle- and health-related factors associated with post-exercise appetite loss in 35 female university athletes. Appetite loss was assessed as a self-reported binary outcome (often, sometimes/never). Associations with subjective sleep quality and other lifestyle-related variables were examined using contingency analysis, followed by exploratory logistic regression. Post-exercise appetite loss was reported by 74.3% of participants and did not differ across sports disciplines, indicating that the sport type alone did not explain the observed variability. Poor/fair subjective sleep quality was associated with appetite loss (OR = 11.6, 95% CI: 1.9–73.6) and remained associated in the multivariate model. Other lifestyle-related variables were not independently associated. These findings imply a potential connection linking post-exercise appetite responses in female university athletes to broader lifestyle-related factors, particularly subjective sleep quality, rather than exercise characteristics alone. Monitoring sleep quality may therefore help identify athletes who may be at risk of insufficient post-exercise energy intake and compromised recovery. Further studies with larger samples and longitudinal designs are needed to clarify these relationships. Full article

Background and Objectives: Poor sleep is common in community and primary-care settings, yet very brief sleep measures suitable for routine use remain limited. We developed and evaluated the five-item Promoting Evaluation and Awareness of Comfort in Sleep (PEACE) scale and examined its associations with well-being and fatigue. Materials and Methods: In a cross-sectional, clinician-mediated online survey, 312 community-dwelling adults in Italy who were not receiving active treatment for major diseases completed PEACE, the World Health Organization-Five Well-Being Index (WHO-5), and a short fatigue questionnaire. The sample was stratified and split into exploratory and confirmatory subsamples for factor analyses. Results: Factor analyses supported the use of a single total score and showed acceptable reliability. Results were broadly similar in women and men, with no evidence of item-level bias, although some model-comparison indices were mixed. Higher PEACE scores were associated with better well-being and lower fatigue. Adding PEACE to a model predicting well-being from body mass index and sex increased explained variance from 4.0% to 11.5%. Conclusions: PEACE is a brief sleep-quality measure with promising initial psychometric properties. In this sample, it was associated with well-being and fatigue and may add information beyond body mass index and sex in community and primary-care settings. Full article

Background/Objectives: Sleep is critical for young adults, particularly those with type 1 diabetes (T1D), who face unique challenges in achieving recommended sleep and diabetes health targets. The purpose of this study guided by the theoretical framework of self-regulation theory is to explore how these individuals navigate self-regulatory processes in their sleep behaviors through mechanisms of self-monitoring, self-judgment, and self-evaluation. Methods: A qualitative descriptive design was implemented using semi-structured interviews with 34 young adults (ages 18–30) living with T1D. Data were collected through focused interviews, sleep diaries, actigraphy, and continuous glucose monitoring, followed by thematic analysis to identify sleep behavior self-regulation patterns. Results: Three primary themes were identified: (1) Sleep Behavior Self-Monitoring—highlighting participants’ awareness of their sleep habits and the diabetes-related impacts on these habits; (2) Sleep Behavior Self-Judgment—reflecting how personal and societal standards inform their evaluation of sleep health; (3) Sleep Behavior Self-Evaluation—showing emotional responses associated with sleep out-comes, where good sleep led to positive feelings and motivation, while poor sleep resulted in frustration. Conclusions: Understanding sleep behavior self-regulation among young adults with T1D is crucial for improving sleep health and diabetes management. Targeted interventions incorporating sleep education and self-regulatory strategies may enhance both perceived sleep quality and overall well-being in this population. Full article

Upper airway function has received limited attention as a potentially relevant component of respiratory physiology in aquatic athletes. Repeated exposure to chlorinated indoor environments, combined with high ventilatory demand during training, may contribute to the development of chronic irritant rhinitis characterized by nasal obstruction and mucosal hyperreactivity. Although often perceived as a minor inconvenience, increased nasal resistance may influence breathing comfort, perceived exertion, and recovery stability in swimmers and other aquatic athletes. In addition to environmental exposure, the widespread use of topical nasal decongestants may result in rebound congestion and rhinitis medicamentosa, thereby contributing to a self-reinforcing cycle of airway dysfunction. Performance-related pressure and uncertainty related to anti-doping regulations may further shape medication behavior within athletic environments. This narrative review integrates environmental exposure mechanisms, mucosal pathophysiology, and behavioral medication patterns to provide a unified conceptual framework for understanding upper airway dysfunction in aquatic athletes. Particular emphasis is placed on nasal airflow stability as a potentially relevant factor in breathing comfort, sleep quality, and training consistency. Given that the available evidence is predominantly mechanistic and observational, the proposed relationships should be interpreted as hypothesis-generating and translational rather than as evidence of direct causal effects on athletic performance. Full article

Background: Polysomnography (PSG) is the gold standard for diagnosing sleep disorders. However, the subjectivity of manual scoring can lead to inter-scorer variability, undermining diagnostic accuracy and subsequent clinical decisions. This study aims to quantitatively assess scoring concordance among multiple scorers across various clinical subgroups to identify the factors that contribute to interpretive discrepancies. Methods: We conducted a retrospective analysis of overnight diagnostic PSG data from adult patients at a tertiary university hospital sleep center. Interrater reliability was evaluated by three independent expert scorers for 30 subjects selected through stratified random sampling. The polysomnographic data were independently and blindly scored according to the American Academy of Sleep Medicine criteria, focusing on sleep stages, arousals, respiratory events, and leg movements, all scored in 30 s epochs. Interrater agreement was measured using Fleiss’ κ, along with 95% confidence intervals, and included subgroup analyses by diagnostic category. Results: The analysis included a total of 28,291 epochs from 30 adults across normal, insomnia, obstructive sleep apnea (OSA) [mild–severe], and periodic limb movement (PLM) disorder subgroups. The overall interrater agreement for sleep staging among the three scorers was nearly perfect (Fleiss’ κ = 0.932), with the highest concordance observed in stages W, N2, and R, and excellent agreement in stages N1 and N3. Respiratory events showed particularly high reliability, with near-perfect agreement for apnea (κ = 0.955) and substantial agreement for hypopnea, arousals, and PLMs. Pairwise analyses indicated the highest concordance between scorer 1 and scorer 3, while the agreement between scorer 1 and scorer 2 was lower, particularly for detecting arousals and limb movements. Subgroup analyses showed the highest and most stable agreement in moderate OSA, whereas severe OSA exhibited reduced reliability for sleep staging and arousal scoring, indicating increased scoring complexity with greater sleep fragmentation. Conclusions: Although expert PSG scoring demonstrates high overall reliability, significant variability persists in complex cases like severe OSA. These findings underscore the necessity for structured quality assurance and automated tools to improve diagnostic consistency in clinical practice. Full article

Psychological factors such as depression, anxiety, and loneliness significantly affect sleep quality, particularly among elderly individuals living in nursing homes. This study aimed to examine the relationship between sleep quality and depression, anxiety, and loneliness among elderly residents of nursing homes in Indonesia, as well as to explore the underlying pathway mechanisms. A quantitative cross-sectional design was used to assess correlational relationships among elderly individuals residing in nursing homes in Jakarta and Tangerang. Data were analyzed using JASP statistical software through descriptive, bivariate, and path analyses. The results demonstrated significant associations between poorer sleep quality and higher levels of loneliness, anxiety, and depression. Path analysis revealed a significant chain mediation pattern, in which loneliness was associated with higher anxiety levels, anxiety was associated with depressive symptoms, and depressive symptoms were associated with poorer sleep quality (β = −0.040, p = 0.045). These findings indicate that sleep disturbances in the elderly are statistically associated with interconnected psychological factors, highlighting the importance of comprehensive psychosocial interventions to improve sleep quality in this population. Full article

Sleep is tightly regulated by thermoregulatory processes that include core body temperature (CBT) modulation, the distal–proximal temperature gradient (DPG), and melatonin rhythms. In this review, we examine how these factors intersect with sleep physiology and contribute to the pathophysiology of common sleep disorders such as ADHD, insomnia, narcolepsy, Obstructive Sleep Apnea (OSA), depression, and Restless Legs Syndrome (RLS). We discuss evidence showing that delayed or disrupted CBT minima, impaired DPG, and altered melatonin secretion can prolong sleep latency, fragment rest, and lead to daytime symptoms. In addition, we explore temperature-based interventions, including foot baths, passive body heating, whole-body hyperthermia, and adjustments in room temperature, which have demonstrated potential to mitigate symptoms and enhance sleep quality. Collectively, these findings emphasize the need for personalized interventions to address thermoregulatory disruptions, presenting a noninvasive avenue for more effective sleep disorder management. Full article