UNASSIGNED: To explore the combined effects of sleep disorders and depression on chronic low back pain (CLBP) in American adults.
UNASSIGNED: In this cross-sectional study, the data of all participants were obtained from the National Health and Nutrition Examination Survey (NAHNES) between 2009 and 2010. CLBP was defined as persistent LBP for a consecutive three-month period. Sleep disorders were self-reported and were diagnosed by a doctor before. The Patient Health Questionnaire-9 (PHQ-9) was used to assess depressive symptoms by trained personnel. Potential covariates were selected using weighted univariate logistic regression models. Weighted univariate and multivariate logistic regression models were used to evaluate the separate and combined effects of sleep disorders and depression on CLBP, respectively. Results were presented as odds ratios (ORs) and 95% confidence intervals (CIs). Associations were further explored in the subgroups of age, chronic kidney disease (CKD), diabetes, and having pain outside the low back.
UNASSIGNED: A total of 5275 participants were included. Among them, 542 (10.28%) had CLBP. The mean age of all participants was 47.19 (0.53), and 50.65% (n=2668) were female. Sleep disorder (OR=1.52, 95% CI: 1.17-1.98) or depressive symptoms (OR=3.06, 95% CI: 2.41-3.88) were associated with higher odds of CLBP. Compared to participants without sleep disorders and depression symptoms, participants in both conditions had an increased risk of CLBP (OR=3.95, 95% CI: 2.58-6.05, P for trend <0.001). The combined effects of sleep disorders and depressive symptoms were also found in the population aged <45 years, ≥45 years, with and without CKD, with and without diabetes, and no pain outside the low back.
UNASSIGNED: Sleep disorders and depressive symptoms may increase the odds of reporting CLBP. Further research is necessary to explore the effectiveness of multidisciplinary interventions targeting sleep disorders, depressive symptoms, and CLBP.

OBJECTIVE: Primary biliary cholangitis (PBC) is a chronic autoimmune liver disease characterized by a range of symptoms, including sleep disturbances. The present study aimed to investigate the prevalence of sleep disorders and the associations between sleep disorders and clinical outcomes in PBC.
METHODS: We enrolled 177 patients with PBC and 165 healthy controls (age- and sex-matched). Sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI). Demographic and clinical data were collected from comprehensive clinical records to investigate whether sleep disorder was correlated with disease severity, therapeutic response and liver cirrhosis.
RESULTS: The prevalence of sleep disorders in patients with PBC (50.8 ​%) was significantly higher than healthy controls (18.2 ​%). Patients with sleep disorders presented with higher levels of laboratory parameters including globulin (GLO), aspartate aminotransferase (AST), alkaline phosphatase (ALP), glutamyl transpeptidase (GGT), total bilirubin (TBIL), direct bilirubin (DBIL) and immunoglobulin M (IgM), as well as higher ratio of poor therapeutic response and liver cirrhosis (p ​< ​0.05). There was a positive correlation between global PSQI score and AST, ALP, GGT, TBIL, DBIL and IgM in patients with PBC. Patients with poor therapeutic response and liver cirrhosis in PBC had a higher proportion of sleep disorders and more chaotic sleep patterns, whereas a stronger correlation between sleep quality and laboratory parameters was found in patients with liver cirrhosis.
CONCLUSIONS: Sleep disorders were prevalent and manifested as adverse effects in PBC. Assessment of sleep quality and intervention were essential to the overall clinical management of patients with PBC.

BACKGROUND: Sleep disorders have a significant impact on asthma. The aim of this study was to explore the association between nocturnal bedtime and asthma among adults in the United States.
METHODS: This study was a cross-sectional analysis involving 11,475 participants from the National Health and Nutrition Examination Survey (NHANES) during the period of 2015-2018. Nocturnal bedtime was categorized into three distinct groups: 2100 h or earlier, between 2100 h and 2300 h, and 2300 h or later. The association between night bedtime and asthma was detected using multivariable logistic regression analyses. Additionally, subgroup analyses were conducted to assess the impact of subgroups.
RESULTS: After adjustment for confounders, a positive association was revealed between later bedtime (after 2300 h) and the prevalence of asthma (OR = 1.20, 95%CI: 1.01-1.43). In the subgroup analysis, the following factors were associated with increased risk: 18-39 years (OR = 1.23, 95%CI: 1.02-1.48); female sex (OR = 1.30, 95%CI: 1.01-1.68); Hispanic patients (OR = 1.66, 95%CI: 1.17-2.37); heavy drinkers (OR = 1.52, 95%CI: 1.17-1.96); Body Mass Index (BMI) (< 25 kg/m2) (OR = 1.45, 95%CI: 1.13-1.87); vigorous physical activity (OR = 1.32, 95%CI: 1.05-1.65);Significant interactions were found between nocturnal bedtime and asthma based on age, sex, eosinophils (EOS) percent and depression (P Interaction < 0.05).
CONCLUSIONS: Our results confirmed a moderately increased risk of asthma attributed to later bedtime, especially in 18-39 years, women and patients of Hispanic ethnicity. Future studies should investigate the underlying mechanisms of this association and explore the clinical implications for asthma management.

OBJECTIVE: We aimed to assess the sleep quality of patients with primary Sjögren\'s syndrome (pSS) and the associated factors. Moreover, Preliminary exploration of the clinical significance of serum brain-derived neurotrophic factor (BDNF) in pSS patients with sleep disorders.
METHODS: A self-report survey was administered to 111 pSS patients and 40 healthy individuals using the Pittsburgh Sleep Quality Index (PSQI) for sleep quality. General clinical information,the sleep quality and mental conditions were collected using on-site questionnaires and various scales. 40 healthy controls from the health examination center of the same hospital, who were age and sex matched. Detection of serum BDNF levels by ELISA method . Independent samples t tests, Chi-square analysis, logistic regression were used to analyze these data.
RESULTS: Patients with pSS had higher scores on the PSQI than the healthy individuals. Abnormal sweating, high PHQ-9 and ESSPRI scores were independent risk factors for sleep disorders. pSS patients had lower serum BDNF than the healthy individuals, The area under the curve (AUC) of predicting sleep disorder in pSS patients using detection of serum BDNF level was 0.8470, and the sensitivity and specificity were 0.951 and 0.727, which were superior to PHQ-9 and GAD-7.
CONCLUSIONS: Compared with the healthy individuals, pSS patients had a higher prevalence of sleep disorders and lower serum BNDF. Serum BDNF level demonstrated greater predictive advantage for sleep disorder in pSS patients.

Brain glycogen, which is distinct from muscle glycogen and liver glycogen, has become a crucial node linking metabolism, epigenetics, and autophagy. Recent studies have suggested that brain glycogen governs multiple neurobehavioral processes, such as memory formation and consolidation. However, the changes in brain glycogen levels in mental diseases and the associations of these changes with the disease prognosis are unknown. Here, we review the psychological functions of brain glycogen and the different characteristics of astrocytic glycogen and neuronal glycogen. In addition, we summarize the alterations in brain glycogen levels in depression, schizophrenia and sleep disorders, highlighting that brain glycogen functions as an important metabolite responsible for the development of mental diseases. In summary, brain glycogen is a key to understanding the pathology of mental diseases and deserves more attention in future research.

UNASSIGNED: Surgical pain affects postoperative sleep quality, and they jointly form a vicious cycle of mutual influence. The cycle of postoperative pain and sleep disorders could lead to delirium, cardiovascular disease, and hyperalgesia, which significantly affect patients\' postoperative recovery. Thus, exploring this phenomenon is of great importance for surgical patients, and warrants further investigation.
UNASSIGNED: By employing bibliometric methods, this study systematically analyzes the publications on postoperative pain-sleep disorders, identifies research trends and field dynamics, and ultimately provides insights for further progress in this research area.
UNASSIGNED: In this study, we searched the Web of Science database for studies on postoperative pain and sleep disorders from 2013 to 2023, and analyzed the number of publications, journals, authors, institutions, country regions, and keywords by utilizing CiteSpace, VOSviewer, and Bibliometrix.
UNASSIGNED: The 1894 retrieved publications showed a trend of increasing number of publications and correlations between postoperative pain and sleep disorders from 2013 to 2023. The top countries for publications included the USA, China, etc., establishing a global collaborative network centered around the USA, China, and Europe. The top institutions for publications included University of California System, Harvard University, etc. The top authors include Christine Miaskowski, Steven M. Paul, Qiuling Shi, etc. These publications involved multiple disciplines including surgery, neurology, and anesthesiology, and various research funds including NIH, HHS, NSFC, etc. The top journals for publications included the European Archives of Oto-Rhino-Laryngology, etc. Keywords that appear most frequently in this field include \"pain\", \"surgery\", \"quality of life\", \"sleep\", \"depression\", and \"outcomes\". The thematic map indicated that the hot topics in this area include obstructive sleep apnea, tonsillectomy, children, pain, quality of life, and sleep. The undeveloped topics with research potential included postoperative pain, analgesia and dexmedetomidine, breast cancer, fatigue, and lung cancer.
UNASSIGNED: The increased number of publications and correlations between postoperative pain and sleep disorders, and the collaborative network across the USA, China, and Europe indicate a growing global interest in this area. This study also provides valuable insights into the trend of hot topics and frontiers and shows that this is an evolving and dynamic research area.

OBJECTIVE: Sleep disorders constitute a principal diagnostic criterion for depression, potentially reflecting the abnormal persistence of brain activity during the sleep onset (SO) transition. Here, we sought to explore the differences in the dynamic changes in the EEG activity and the EEG functional connectivity (FC) during the SO transition in depressed patients.
METHODS: Overnight polysomnography recordings were obtained from thirty-two depressed patients and thirty-three healthy controls. The multiscale permutation entropy (MSPE) and EEG relative power were extracted to characterize EEG activity, and weighted phase lag index (WPLI) was calculated to characterize EEG FC.
RESULTS: The intergroup differences in EEG activity of relative power and MSPE were reversed near SO, which attributed to slower rates of change among depressed patients. Regarding the characteristics of the EEG FC network, depressed patients exhibited significantly higher inter-hemispheric and interregional WPLI values in both delta and alpha bands throughout the SO transition, concomitant with different dynamic properties in the delta band FC. During the process after SO, patients exhibited increased inter-hemispheric long-range links, whereas controls showed more intra-hemispheric ones. Finally, we found significant correlations in the dynamic changes between different EEG measures.
CONCLUSIONS: Our research revealed that the abnormal changes during the SO transition in depressed patients were manifested in both homeostatic and dynamic aspects, which were reflected in EEG FC and EEG activity, respectively.
CONCLUSIONS: These findings may elucidate the mechanism underlying sleep disorders in depression from the perspective of neural activity.

UNASSIGNED: To systematically evaluate the efficacy of hyperbaric oxygen therapy (HBOT) as an adjunct therapy for treating sleep disorders in patients with Parkinson\'s disease (PD).
UNASSIGNED: We conducted comprehensive searches in eight databases from inception through September 2023, including PubMed, Cochrane Library, Embase, Web of Science, SinoMed, China National Knowledge Infrastructure (CNKI), China Science and Technology Periodical Database (VIP), and Wanfang Database. The objective was to identify randomized controlled trials (RCTs) evaluating HBOT\'s effectiveness in alleviating sleep disorder symptoms in PD patients as an adjunct therapy. Literature screening and data extraction were independently executed by the authors. Meta-analyses were performed using Review Manager 5.3 software, and publication bias and sensitivity analyses were assessed using Stata 17.0 software.
UNASSIGNED: Seven RCTs involving 461 participants were included. The findings revealed that the addition of HBOT significantly enhanced sleep efficiency (MD = 15.26, 95% CI [10.89, 19.63], p < 0.00001), increased time in bed (MD = 69.65, 95% CI [43.01, 96.30], p < 0.00001), total sleep time (MD = 75.87, 95% CI [25.42, 126.31], p = 0.003), slow-wave sleep (SWS) time (MD = 6.14, 95% CI [3.95, 8.34], p < 0.00001), and rapid eye movement sleep (REM) time (MD = 4.07, 95% CI [2.05, 6.08], p < 0.0001), and reduced awakening frequency (MD = -11.55, 95% CI [-15.42, -7.68], p < 0.00001) and sleep latency (MD = -6.60, 95% CI [-9.43, -3.89], p < 0.00001). Additionally, significant improvements were observed in the Pittsburgh Sleep Quality Index (PSQI) (MD = -2.52, 95% CI [-2.85, -2.18], p < 0.00001), Epworth Sleepiness Scale (ESS) (MD = -2.90, 95% CI [-3.34, -2.47], p < 0.00001), Unified Parkinson\'s Disease Rating Scale Part III (UPDRS III) (MD = -1.32, 95% CI [-2.16, -0.47], p = 0.002), and Hoehn and Yahr grading (H-Y grading) (MD = -0.15, 95% CI [-0.28, -0.01], p = 0.03).
UNASSIGNED: The current meta-analysis supports the efficacy of HBOT as an adjunct therapy in managing sleep disorders in PD patients. It is recommended for PD patients experiencing sleep disturbances.Systematic review registration:https://www.crd.york.ac.uk/, identifier: CRD42023462201.

UNASSIGNED: To explore the impact of COVID-19 on the sleep of healthcare workers from Fujian Province supporting Hubei Province and its related risk factors.
UNASSIGNED: A cross-sectional, anonymous, self-reported online questionnaire survey was conducted among all participants. The questionnaire consisted of five parts: sociodemographic characteristics and COVID-19 epidemic-related factors, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Morningness-Eveningness Questionnaire-5 (MEQ-5), and 12-item General Health Questionnaire (GHQ-12).
UNASSIGNED: Among 552 participants, 203 (36.8%) had a PSQI score > 7, indicating the presence of sleep disorders. Logistic regression analysis revealed that sleep disorders were independently associated with a history of previously diagnosed sleep disorders (OR 6.074, 95% CI 2.626-14.049, P < 0.001), rotating night shifts > 3 times per week (OR 3.089, 95% CI 1.650-5.781, P < 0.001), using electronic devices before sleep >1 h (OR 1.685, 95% CI 1.131-2.511, P = 0.010), concern about contracting COVID-19 (OR 1.116, 95% CI 1.034-1.204, P = 0.005), perception of societal support for supporting healthcare workers in Hubei (OR 0.861,95% CI 0.744-0.998, P = 0.047) (OR 0.861, 95% CI 0.744-0.998, P = 0.047), non-medical staff (OR 0.257, 95% CI 0.067-0.987, P = 0.048), ESS score (OR 1.068, 95% CI 1.018-1.121, P = 0.007), and GHQ-12 score (OR 1.511, 95% CI 1.281-1.782, P < 0.001).
UNASSIGNED: Sleep disorders were highly prevalent among healthcare workers from Fujian Province supporting Hubei Province during the COVID-19 pandemic. Risk factors for sleep disorders included a history of previously diagnosed sleep disorders, rotating night shifts > 3 times per week, using electronic devices before sleep >1 h, excessive concern about contracting COVID-19, and poorer psychological health. Higher perceived societal support and understanding of support for healthcare workers supporting Hubei were associated with a reduced risk of sleep disorders, as was being non-medical staff. Providing more sleep hygiene education and psychological health services for frontline healthcare workers is necessary.

UNASSIGNED: The objective of this study is to investigate the indirect causalities between gut microbiota and sleep disorders.
UNASSIGNED: In stage 1, we utilized 196 gut microbiota as the exposure factor and conducted a two-sample univariable Mendelian randomization (MR) analysis on five sleep disorders: insomnia, excessive daytime sleepiness (EDS), sleep-wake rhythm disorders (SWRD), obstructive sleep apnea (OSA), and isolated REM sleep behavior disorder (iRBD). In stage 2, we validated the MR findings by comparing fecal microbiota abundance between patients and healthy controls through 16S rDNA sequencing. In stage 3, we explored the indirect pathways by which the microbiota affects sleep, using 205 gut microbiota metabolic pathways and 9 common risk factors for sleep disorders as candidate mediators in a network MR analysis.
UNASSIGNED: In stage 1, the univariable MR analysis identified 14 microbiota potentially influencing five different sleep disorders. In stage 2, the results from our observational study validated four of these associations. In stage 3, the network MR analysis revealed that the Negativicutes class and Selenomonadales order might worsen insomnia by increasing pain [mediation: 12.43% (95% CI: 0.47, 24.39%)]. Oxalobacter could raise EDS by disrupting adenosine reuptake [25.39% (1.84, 48.95%)]. Allisonella may elevate OSA risk via obesity promotion [36.88% (17.23, 56.54%)], while the Eubacterium xylanophilum group may lower OSA risk by decreasing smoking behavior [7.70% (0.66, 14.74%)].
UNASSIGNED: Triangulation of evidence from the MR and observational study revealed indirect causal relationships between the microbiota and sleep disorders, offering fresh perspectives on how gut microbiota modulate sleep.