Search Results (706)

Background: Bruxism, a repetitive clenching or grinding of teeth, is a prevalent yet under-recognized issue among university students. Its etiology is multifactorial, often involving psychological stress, poor sleep quality, and unhealthy lifestyle behaviors. Despite increasing evidence linking these variables, limited research has examined these associations within Middle Eastern populations. Objectives: This study aimed to assess the proportion screening positive for bruxism risk among Saudi undergraduate students and to investigate its associations with perceived stress, sleep quality, and lifestyle factors. Methods: A cross-sectional survey was conducted among 335 Saudi undergraduate students aged 18–25 years. Data were collected using the 25-item BRUXiq self-assessment questionnaire, the 11-item Stress Self-Assessment Questionnaire, the Pittsburgh Sleep Quality Index (PSQI), and demographic and behavioral questions. Descriptive statistics, Chi-square tests, Mann–Whitney U tests, Spearman’s correlations, and binary logistic regression were performed. Results: A total of 198 participants (59.1%) screened positive for bruxism risk according to the BRUXiq criterion, whereas 137 (40.9%) screened negative. Participants with a positive BRUXiq screen exhibited significantly higher stress scores (p < 0.001) and poorer sleep quality (p < 0.001). Multivariable logistic regression showed that higher stress scores (OR = 1.123, 95% CI [1.08, 1.17]) and poorer sleep quality (OR = 1.188, 95% CI [1.07, 1.31]) were independently associated with greater odds of a positive BRUXiq screen. No significant associations were found for smoking, stimulant use, physical activity, or academic year. Conclusions: A positive BRUXiq screening result was common among the participating students and was associated with higher stress and poorer sleep quality. Because bruxism was assessed using a self-report screening questionnaire, the findings should not be interpreted as the prevalence of clinically confirmed bruxism. These findings underscore the importance of psychological support services and sleep hygiene education within university health programs as potential supportive strategies that require further evaluation. Full article

Background: Doctoral training involves prolonged performance demands, uncertainty, supervisory dependence, and career pressure, yet objective biochemical correlates of academic stress remain incompletely characterized. This study examined academic stress in relation to glycemic, neuroendocrine, inflammatory, and thyroid-related markers, alongside psychological symptoms and sleep quality, in doctoral research scholars. Methods: This cross-sectional study included 203 doctoral research scholars (123 female, 80 male; mean age 27.2 years). Academic stress was assessed using a 34-item doctoral-adapted Academic Stress Scale (AST). Glycated hemoglobin (HbA1c), evening cortisol, C-reactive protein (CRP), and thyroid-stimulating hormone (TSH) were measured as biochemical outcomes. Depression, anxiety, and stress symptoms were assessed using the 21-item Depression Anxiety Stress Scales (DASS-21), and sleep quality using the Pittsburgh Sleep Quality Index (PSQI). Primary associations were examined using linear regression with heteroscedasticity-consistent type 3 (HC3) robust standard errors, adjusted for age, gender, body mass index, and lifestyle activity, with false-discovery-rate (FDR) correction. Results: Mean AST was 109.5 (standard deviation 21.0). Above-normal DASS-21 scores were observed for depression in 64.5%, anxiety in 86.7%, and stress in 49.3%, while 79.3% had poor sleep quality. Higher AST was associated with all four biochemical markers. Per 10-point increase in AST, HbA1c was 0.225 percentage points higher (95% confidence interval 0.158–0.291), evening cortisol 0.502 µg/dL higher (0.299–0.706), CRP 13.9% higher (8.4–19.7%), and TSH 0.125 µIU/mL higher (0.049–0.200); all FDR q ≤ 0.0013. Depression and anxiety severity distributions differed by gender, whereas stress did not. Exploratory analyses showed positive correlations between DASS-21 symptoms and all four biomarkers (Spearman ρ = 0.22–0.58; all FDR q < 0.01). Conclusions: Higher academic stress was associated with variation across glycemic, neuroendocrine, inflammatory, and thyroid-related markers in doctoral scholars, alongside substantial psychological symptom and sleep burden. The cross-sectional design precludes conclusions regarding temporal direction or causality and supports the need for longitudinal research on doctoral health and well-being. Full article

Background/Objectives: Sleep across the transfusion cycle remains understudied in children with transfusion-dependent β-thalassemia (TDT). We assessed sleep patterns and hematologic correlates before and after transfusion. Methods: This prospective, controlled, repeated-measures study included 27 children with TDT and 30 controls who had been frequency-matched at recruitment on age, sex, and school-attendance category; no fixed one-to-one patient–control pairs were formed. Participants completed 14-day sleep diaries spanning the pre- and post-transfusion weeks and repeated Children’s Sleep Habits Questionnaire (CSHQ) and Pittsburgh Sleep Quality Index (PSQI) assessments. The three primary outcome domains were sleep-diary measures (including sleep regularity, daytime nap frequency, sleep-duration variability, and nocturnal awakenings), continuous CSHQ total and subscale scores, and the continuous modified PSQI global score. Threshold classifications, individual questionnaire items, and laboratory/MRI associations were exploratory. Multiplicity was controlled within the diary and questionnaire families using the Benjamini–Hochberg false discovery rate (FDR). Results: Within the primary sleep-diary domain, weekday sleep irregularity was greater in patients pre-transfusion (16.3 vs. 10.2 min; q = 0.014) but not post-transfusion (q = 0.220); sleep-duration variability was greater before and after transfusion (both q = 0.026), and diaries recorded more daytime naps and more and longer nocturnal awakenings across 14 days (q < 0.05). Within the primary questionnaire domains, the continuous modified PSQI global score and CSHQ total, sleep-behavior, and daytime-sleepiness scores were higher in patients pre-transfusion (all q < 0.001). In exploratory, unadjusted analyses, lower pre-transfusion hemoglobin correlated with greater daytime sleepiness (ρ = −0.425; p = 0.027). Conclusions: Multiplicity-adjusted findings across the three primary outcome domains suggest differences in reported sleep timing, regularity, continuity, daytime napping, and questionnaire scores in children with TDT. However, the small sample, the number of component outcomes and contrasts, and the absence of actigraphy require cautious interpretation. Full article

Background: Mental health problems are common among university students. This systematic review and meta-analysis examined the effects of mental health interventions on depressive symptoms, anxiety, and sleep quality in this population. Methods: Randomized controlled trials published through 30 July 2026 were identified in MEDLINE/PubMed, Scopus, the Cochrane Library, Web of Science Core Collection, EBSCOhost, CINAHL, and ProQuest. Risk of bias and certainty of evidence were assessed using Cochrane Risk of Bias 2 and GRADE, respectively. Random-effects meta-analyses used mean differences (MDs) for outcomes reported on the same scale and Hedges’ g for sleep outcomes that used non-equivalent PSQI scores. Between-study variance was estimated using restricted maximum likelihood, with modified Hartung Knapp Sidik Jonkman inference. The protocol was registered in PROSPERO (CRD420261344616). Results: Nine studies met the eligibility criteria, and seven contributed to at least one meta-analysis. Interventions reduced PHQ-9 scores on average (MD = 2.21 points, 95% CI 0.89 to 3.54; p = 0.006; I² = 81.0%), although the 95% prediction interval included no effect (−1.20 to 5.63). The pooled effects on GAD-7 scores (MD = 1.99, 95% CI −0.48 to 4.46; p = 0.089; I² = 92.0%) and sleep quality (Hedges’ g = 1.30, 95% CI −3.08 to 5.68; p = 0.330; I² = 99.1%) were not statistically conclusive. All prediction intervals included the null. Conclusions: Mental health interventions may reduce depressive symptoms among university students on average, but substantial heterogeneity limits the generalizability of this finding. Evidence for effects on anxiety and sleep quality remains inconclusive. More rigorous and clinically comparable trials are required. Full article

Background: Sleep disturbances are a clinically relevant and transdiagnostic dimension of eating disorders (EDs), particularly during adolescence and young adulthood. Although early improvements in insomnia severity during residential treatment have been described, the longitudinal trajectory of sleep disturbances, habitual sleep timing, and eating disorder psychopathology across a six-month residential stay has not been systematically characterised. Methods: This prospective real-world observational study enrolled 30 female adolescents and young adults (aged 14–22 years) in a small exploratory cohort, predominantly with anorexia nervosa (AN; 83.3%) and a minority with bulimia nervosa (BN; 16.7%), all with clinically significant insomnia at admission (Insomnia Severity Index [ISI] > 14). All sleep outcomes were based on subjective self-report; no objective sleep assessment (actigraphy or polysomnography) was available. Participants were consecutively recruited from the Regional Residential Centre for Eating Disorders “Mariconda”, ASL Salerno, Italy. Of 38 consecutive admissions assessed for eligibility, 8 were excluded (ISI ≤ 14 at admission: n = 5; incomplete baseline data: n = 3), yielding a final enrolled sample of n = 30. All 30 participants completed the six-month residential programme; no drop-outs occurred. ISI was assessed monthly (T0–T6); PSQI and EDE-Q were assessed at T0, T3, and T6; diary-derived sleep timing (sleep midpoint) was assessed monthly (T0–T6), while diary-derived sleep continuity parameters (SOL, WASO, TST, SE%) were available at T0, T1, T3, and T6. Linear mixed-effects models (LMM) and bootstrap-resampled paired analyses were used. Results: ISI declined progressively from 21.1 ± 2.5 at baseline to 7.4 ± 2.7 at month 6 (Δ = −13.7; 95% CI [−14.4, −13.1]; p < 0.001). By month 6, 56.7% of participants had achieved remission (ISI < 8) and 100% had met response criteria (ΔISI ≤ −8). Sleep midpoint advanced progressively by 86 min over six months (from ~04:41 to ~03:16 after midnight), with no significant association with BMI or pharmacological treatment in linear mixed-effects models. EDE-Q global scores decreased from 4.57 ± 0.49 to 2.06 ± 0.58. Changes in ISI were not correlated with changes in EDE-Q at month 3 (r = 0.042, p = 0.826) but were significantly correlated at month 6 (r = 0.480, p = 0.007). All pharmacological regimens remained stable throughout the six-month observation period. The association between improvement in insomnia severity and eating-disorder psychopathology was not evident at month 3 but emerged at month 6, suggesting that these domains may change at different rates during residential treatment. Given the exploratory nature of the analyses, p-values are reported without adjustment for multiple comparisons and should be considered hypothesis-generating. Conclusions: Across six months of residential treatment, progressive improvements were observed in insomnia severity, subjective sleep continuity, habitual sleep timing, BMI, and eating-disorder psychopathology. In the absence of a control group, spontaneous remission, regression to the mean, and non-specific components of care, including the routinely administered Passiflora incarnata L. adjunct, cannot be individually distinguished as contributors to the observed changes, and these findings should be interpreted within the constraints of an uncontrolled observational design relying on subjective sleep measures. Controlled studies are needed to determine whether these changes are directly attributable to treatment or primarily reflect concurrent weight restoration and clinical improvement. Full article

Background/Objectives: Interoceptive awareness may support stress regulation in sport, but its association with objective physical performance remains unclear. This study examined relationships between self-reported interoceptive awareness, perceived stress, anxiety, sleep quality, and field-based performance in sport-science students. Methods: Eighty-five students (54 men, 31 women; 20.65 ± 2.43 years) completed the MAIA-2, PSS-10, STAI, and PSQI and performed handgrip, countermovement-jump, sit-and-reach, and bilateral Y-Balance tests. Analyses included Pearson correlations, Welch tests with false-discovery-rate correction, HC3-robust hierarchical regression, and exploratory age- and sex-adjusted bootstrap indirect-effect models. Results: The MAIA-2 composite was inversely associated with perceived stress (r = −0.461, 95% CI [−0.614, −0.275], p < 0.001) but showed no detectable association with physical performance (r = −0.003 to 0.136; all q ≥ 0.961); equivalence testing indicated that four of the five performance correlations were statistically equivalent to zero within a ±0.30 bound. Women reported higher stress and anxiety, whereas men showed greater handgrip strength and jump height. Individual-sport participants reported higher state anxiety than team-sport participants (g = −0.886, q = 0.004). Interoceptive awareness did not significantly increase explained variance in any performance model, and exploratory indirect-effect confidence intervals all included zero. Conclusions: Self-reported interoceptive awareness was related to perceived stress but was not detectably related to brief field-based performance in this sample. Longitudinal and experimental studies are needed to test temporal and causal mechanisms. Full article

Introduction: The purpose of this study was to determine the prevalence of fibromyalgia (FM) syndrome in those with idiopathic granulomatous mastitis (IGM) and to assess the correlations between anxiety, depression, fatigue, sleep quality, and overall quality of life (QOL). Methods: Seventy-six patients with idiopathic granulomatous mastitis (IGM) confirmed by tru-cut biopsy and 62 age- and sex-matched non-IGM group were enrolled. Fibromyalgia (FM) was diagnosed according to the American College of Rheumatology criteria. Participants completed the Fibromyalgia Impact Questionnaire-Revised (FIQR), Visual Analog Scale (VAS), Beck Anxiety Inventory (BAI), Beck Depression Inventory (BDI), Functional Assessment of Chronic Illness Therapy–Fatigue (FACIT-Fatigue), Pittsburgh Sleep Quality Index (PSQI), and Short Form-36 Health Survey (SF-36). Results: The mean age was similar between the IGM and non-IGM groups (34.25 ± 8.09 vs. 32.54 ± 8.67 years). FM prevalence was significantly higher in patients with IGM than in controls (36.8% vs. 6.5%). Patients with IGM had significantly worse VAS, BAI, BDI, FACIT-Fatigue, PSQI, and FIQR scores (all p < 0.001). Within the IGM group, patients with FM had significantly poorer quality of life and worse clinical outcomes than those without FM (all p < 0.001). FIQR scores were significantly correlated with quality of life measures. In multivariable analysis, older age and higher BMI were independently associated with lower odds of fibromyalgia, whereas breastfeeding was an independent predictor of fibromyalgia. Conclusions: Fibromyalgia is significantly more common in patients with idiopathic granulomatous mastitis than in the non-IGM group and is associated with greater symptom burden and poorer quality of life. Screening for fibromyalgia may improve the comprehensive management of patients with IGM. Full article

Background/Objectives: Psychological distress, poor sleep quality, and reduced quality of life commonly co-occur among medical students, yet their mutually adjusted relationships remain less well characterised within curriculum-based mind–body exercise settings. We examined whether these relationships were replicated across two unlinked survey waves and whether psychological distress and sleep quality remained associated with overall quality of life after mutual adjustment. Methods: An unlinked repeated cross-sectional study was embedded within a 12-week university Wuqinxi mind–body exercise course. Anonymous surveys were administered at course initiation (T0) and completion (T1), with 184 valid responses at each wave. Psychological distress, sleep quality, and overall quality of life were assessed using the DASS-21, PSQI, and the PROMIS Global Health Global02 item, respectively. Spearman correlations and proportional-odds ordinal logistic regression were performed with adjustment for sex, age, and previous mind–body exercise experience. Holm correction was applied. Results: Associations among the three health domains were directionally consistent at both waves (|ρ| = 0.359–0.494; all Holm-adjusted p < 0.001). In mutually adjusted models, poorer sleep quality was associated with lower odds of higher overall quality of life at T0 (OR per SD = 0.375, 95% CI 0.269–0.522) and T1 (OR per SD = 0.400, 95% CI 0.287–0.558; both Holm-adjusted p < 0.001). Associations for psychological distress were weaker and did not remain statistically significant after multiplicity correction. Conclusions: Across two unlinked survey waves embedded in a 12-week Wuqinxi course, poorer sleep quality remained associated with lower overall quality of life after adjustment for psychological distress and measured covariates, whereas the corresponding association for psychological distress was weaker. These findings characterise concurrent health relationships within the intervention context but do not establish within-person change or causal effects of Wuqinxi. Full article

Background/Objectives: Sleep disturbance is increasingly recognized as a key contributor to symptom burden and functioning in paediatric oncology, yet comparative evidence across clinical and healthy populations remains limited. This study examined sleep quality and its association with health-related quality of life (HRQoL) in children and adolescents with cancer compared with peers with non-oncological chronic illnesses and healthy controls. Methods: A cross-sectional study was conducted at Hong Kong Children’s Hospital. Participants 6–18 years were recruited by convenience sampling into three groups (oncology, chronic illness, healthy; n = 50 each). Children and adolescents completed the Chinese Pittsburgh Sleep Quality Index (PSQI) and Pediatrics Quality of Life Inventory (PedsQL) 4.0. Group differences were tested using chi-square tests and one-way analysis of variance (ANOVA) with post hoc Tukey comparisons. Pearson correlations and hierarchical multiple linear regression examined PSQI-PedsQL associations. Results: Sleep quality differed significantly across groups (p < 0.001), with the poorest sleep observed in the oncology group. The prevalence of poor sleep (PSQI ≥ 5) was 60.0% in oncology group, compared with 40.0% in those with chronic illness and 30.0% in healthy peers. Mean global PSQI scores were 6.02 ± 3.40 in the oncology group, 4.10 ± 2.60 in the chronic illness group, and 3.30 ± 2.35 in healthy controls, with a significant overall group difference (p < 0.001). Impairments were most pronounced in sleep latency, habitual sleep efficiency, and sleep disturbances. HRQoL was lowest in the oncology group (p < 0.001). Mean PedsQL total scores were 68.98 ± 15.73 in the oncology group, 75.99 ± 14.03 in the chronic illness group, and 85.44 ± 10.26 in healthy controls, respectively, with a significant overall group difference (p < 0.001). Across the full sample, poor sleep quality was independently associated with lower HRQoL after adjustment for demographic and clinical factors (β = −0.271, p = 0.002), with no significant interaction by group. Conclusions: Children and adolescents with cancer reported clinically significant sleep impairment, driven mainly by reduced sleep quality and continuity. Routine sleep screening and targeted supportive interventions may improve HRQoL in paediatric oncology. Full article

This cross-sectional study estimated a component-level network of depression, anxiety, and stress dimensions, sleep components, and physical activity identity among students at one Chinese university. Using convenience and snowball sampling, 3762 students at Zhejiang University completed the DASS-21, PSQI, and MIPAI-25. Regularized partial-correlation networks were estimated with EBICglasso (gamma = 0.50) using automatic correlation selection. Strength, bridge strength, signed bridge expected influence, and predictability were calculated. Network accuracy and stability were examined with 1000 bootstrap resamples, and sex differences were assessed using a Network Comparison Test with 1000 permutations. Scores above the prespecified screening cutoffs were observed for depression (76.0%), anxiety (79.5%), stress (62.8%), and poor sleep quality (80.2%). In the DASS-PSQI network, hypnotic medication use had the largest overall strength point estimate (1.126), whereas depression and anxiety subscales had the largest bridge-strength point estimates (0.121 and 0.093). In the exploratory three-domain network, hypnotic medication use again had the largest strength estimate (1.131); MIPAI acknowledgment had the highest bridge-strength point estimate (0.134), closely followed by depression (0.130), and remained the highest-ranked MIPAI dimension in the mixed graphical model. Its individual cross-domain edges were small, and their specific pattern was model-dependent. Overall network structure did not differ significantly by sex (M = 0.087, p = 0.117), whereas global strength was higher in males than females (7.11 vs. 6.83; p = 0.012); no individual edge remained significant after Holm correction. These findings describe cross-sectional conditional associations and do not establish causal or protective effects. Full article

Psychological factors and sleep quality are relevant to athlete well-being and adaptation in high-performance sport, yet their distribution within the same elite football structure remains insufficiently understood. This pooled cross-sectional study described and compared psychological profiles and psychological risk indicators across 11 teams within a single elite football organisation and explored selected contextual variables. Participants were 376 elite football players (245 male and 131 female; aged 14–37 years) from teams competing at U16, U19, amateur, and professional levels. Assessment followed the Psycholight framework and incorporated selected dimensions from the CPRD, MIPS, STAI, DASS-21, and PSQI. Group differences were examined using nonparametric comparisons, Wilcoxon effect sizes, Fisher’s exact tests, and odds ratios with 95% confidence intervals. Psychological profiles and risk distributions varied across the studied teams, with heterogeneous patterns across psychological and sleep-related indicators. Given the close interrelationship between sex, age, team, competitive level, and season, these findings should be interpreted as patterns observed among the teams represented in the present sample rather than as independent effects of sex or competitive level. Full article

Background and Aims: Ramadan intermittent fasting (RIF) involves significant shifts in sleep patterns and circadian rhythms that may affect neurological health. This study aimed to evaluate changes in neuropsychiatric and neurocognitive functions in relation to sleep quality among healthy adults observing RIF. Methods: We recruited healthy adults from various regions in Jordan for this prospective cohort study. We used validated self-report questionnaires to assess mental health and sleep parameters. Anxiety and depression were assessed using the GAD-7 and PHQ-9, respectively. We measured resilience using the 10-item Nicholson McBride Resilience Questionnaire (NMRQ), and the Neuro-QoL (cognitive functions domain) assessed memory and attention. We assessed sleep quality using the Pittsburgh Sleep Quality Index (PSQI). We administered all tools before (BR) and at the end of Ramadan (DR) to track changes in symptom severity and functional status. Results: A total of 723 healthy adults (mean age: 28.82 ± 12.04 years) completed both assessments. A paradoxical divergence emerged between mood and sleep parameters: mean scores for depression (PHQ-9: 8.65 to 7.70) and anxiety (GAD-7: 6.75 to 5.65; both p = 0.0001) improved significantly, with a higher proportion of participants reporting minimal symptoms during Ramadan. Conversely, overall sleep quality (PSQI) deteriorated markedly, with the percentage of participants classified as having “good sleep quality” dropping from 66.4% to 34.9% (p = 0.0001). While sleep latency and sleep disturbances improved slightly, subjective sleep quality and sleep duration worsened significantly (p ≤ 0.01). Additionally, Neuro-QoL cognitive scores decreased from 30.60 to 28.97 (p = 0.0001), whereas total resilience scores remained stable (p = 0.897). Conclusions: RIF is associated with significant improvements in depression and anxiety scores despite a concurrent deterioration in overall sleep quality and duration. While these findings suggest a favorable impact on subjective mental well-being, the observational design precludes establishing causal relationships. This paradoxical interplay between fasting-induced mood enhancements and sleep disruptions highlights the need for future prospective studies utilizing objective measurement tools. Full article

Background: Healthcare university students face disruptive sleep schedules and irregular meals caused by busy schedules, multiple activities, and stressful internships. This study aimed to investigate the complex relationships between sleep quality, psychological eating dimensions (cognitive restraint, uncontrolled eating, and emotional eating), accommodation, history of diets and late-night food intake, while evaluating the impact of demographic factors such as age, sex, and residential background. Methods: A cross-sectional survey was conducted among a sample of Romanian healthcare university students (n = 265; 74.3% women). Psychometric evaluation included the Pittsburgh Sleep Quality Index (PSQI) and the Three-Factor Eating Questionnaire (TFEQ-R21). Sociodemographic data (age, gender, environment and accommodation) and information about diets were collected. Late-night food intake was defined as eating after 21:00. Data processing and analysis were performed using IBM Statistical Package for the Social Sciences (SPSS) for Windows, version 26 (SPSS Inc., Chicago, IL, USA). Results: Students exhibit poor global sleep quality, which positively correlated with all TFEQ-R21 subscales. Students with a prior history of following weight-loss diets demonstrated significantly elevated levels of intentional food monitoring and psychological eating disinhibition compared to non-dieters. Urban students feel greater psychological pressure to constantly and consciously control what they eat. Students living in dormitories (Mdn = 2.50, IQR = 1.83) and those living in rented apartments (Mdn = 2.17, IQR = 1.50) reported significantly higher Emotional Eating scores compared to students residing with their parents. Male students demonstrated a substantially higher prevalence of late-night food consumption compared to female students (77.9% vs. 59.4%). Cognitive restraint and female gender protect against nighttime snacking, while uncontrolled eating and poor-quality sleep significantly increase this risk. After adjusting for age, sleep disturbances were positively associated with emotional eating (Path a: B = 0.0967, β = 0.320, p < 0.001, R² = 0.109), which in turn was strongly associated with uncontrolled eating (Path b: B = 0.4621, β = 0.709, p < 0.001). While the model explained 52.16% of the variance in uncontrolled eating, this was driven almost entirely by path b, as the initial contribution of sleep was considerably smaller (Path a: R² = 0.109), yielding a significant standardized indirect association (β = 0.227, 95% BootCI [0.148, 0.309]). Conclusions: Sleep disturbances are linked to uncontrolled eating patterns primarily through their shared indirect association with emotion-driven eating. Prioritizing weight loss over health promotion increases students’ psychological vulnerability. Full article

Background: Pruritus is a frequently encountered problem in patients undergoing hemodialysis and may negatively affect sleep quality. Therefore, this study aims to examine the relationship between pruritus and sleep quality in patients undergoing hemodialysis. Methods: Descriptive, cross-sectional study. Between June and December 2025, 150 patients receiving treatment at dialysis centers in Istanbul who met the inclusion and exclusion criteria were included. The data were collected through face-to-face interviews using an information form to determine the patients’ sociodemographic and disease-related characteristics, the 5-D Itch Scale, and the Pittsburgh Sleep Quality Index (PSQI). Results: A positive association was found between the total pruritus score and several dimensions of sleep quality, including subjective sleep quality, sleep latency, sleep duration, sleep disturbances, and daytime dysfunction (p < 0.05). Higher scores for the impact of pruritus on daily life (disability), duration, course, and severity of pruritus were associated with poorer sleep quality. In the multiple regression analysis, gender, income level, duration of diagnosis, smoking status, and pruritus severity were significantly associated with PSQI scores. The model explained 38.3% of the variance in PSQI scores. Conclusions: Pruritus severity was significantly associated with poorer sleep quality and greater impairment in daily life. Sociodemographic characteristics were also associated with sleep quality. Therefore, a comprehensive, multidimensional assessment of patients may be important in managing pruritus and sleep disturbances. Full article

Background/Objectives: Sleep timing is an important dimension of sleep health, yet its association with sleep quality among university esports players remains unclear. This study examined factors associated with poor sleep quality, emphasizing habitual bedtime. Methods: This cross-sectional study included 164 university esports players with previous competition experience. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Multivariable logistic regression examined factors associated with poor sleep quality, with bedtime modeled continuously. Sensitivity analyses addressed circular clock time, PSQI measurement coupling, and self-reported sleep duration. Results: Poor sleep quality was identified in 50.6% of participants. Self-reported chronic disease (OR = 5.60, 95% CI: 1.72–18.28; p = 0.004) and each one-hour delay in bedtime (OR = 1.33, 95% CI: 1.13–1.57; p < 0.001) were associated with poor sleep quality after multivariable adjustment. Bedtime showed the most favorable numerical model performance indices among the evaluated sleep-timing indicators. The association with later bedtime persisted in circular analyses, after excluding the PSQI habitual sleep-efficiency component (β = 0.327, 95% CI: 0.165–0.490; p < 0.001), and among participants reporting at least 7 h of actual sleep (OR = 1.49, 95% CI: 1.16–1.91; p = 0.002). Conclusions: Poor sleep quality was common among university esports players. Later bedtime was consistently associated with poor sleep quality, including among those reporting at least 7 h of actual sleep. Habitual bedtime may warrant consideration alongside sleep duration when assessing sleep health in this population. Longitudinal studies are needed to establish directionality. Full article