Clocks & Sleep最新文献

{"title":"ChronobioticsDB: The Database of Drugs and Compounds Modulating Circadian Rhythms.","authors":"Ilya A Solovev, Denis A Golubev, Arina I Yagovkina, Nadezhda O Kotelina","doi":"10.3390/clockssleep7030030","DOIUrl":"10.3390/clockssleep7030030","url":null,"abstract":"<p><p>Chronobiotics represent a pharmacologically diverse group of substances, encompassing both experimental compounds and those utilized in clinical practice, which possess the capacity to modulate the parameters of circadian rhythms. These substances influence fluctuations in various physiological and biochemical processes, including the expression of core \"clock\" genes in model organisms and cell cultures, as well as the expression of clock-controlled genes. Despite their chemical heterogeneity, chronobiotics share the common ability to alter circadian dynamics. The concept of chronobiotic drugs has been recognized for over five decades, dating back to the discovery and detailed clinical characterization of the hormone melatonin. However, the field remains fragmented, lacking a unified classification system for these pharmacological agents. The current categorizations include natural chrononutrients, synthetic targeted circadian rhythm modulators, hypnotics, and chronobiotic hormones, yet no comprehensive repository of knowledge on chronobiotics exists. Addressing this gap, the development of the world's first curated and continuously updated database of chronobiotic drugs-circadian rhythm modulators-accessible via the global Internet, represents a critical and timely objective for the fields of chronobiology, chronomedicine, and pharmacoinformatics/bioinformatics. The primary objective of this study is to construct a relational database, ChronobioticsDB, utilizing the Django framework and PostGreSQL as the database management system. The database will be accessible through a dedicated web interface and will be filled in with data on chronobiotics extracted and manually annotated from PubMed, Google Scholar, Scopus, and Web of Science articles. Each entry in the database will comprise a detailed compound card, featuring links to primary data sources, a molecular structure image, the compound's chemical formula in machine-readable SMILES format, and its name according to IUPAC nomenclature. To enhance the depth and accuracy of the information, the database will be synchronized with external repositories such as ChemSpider, DrugBank, Chembl, ChEBI, Engage, UniProt, and PubChem. This integration will ensure the inclusion of up-to-date and comprehensive data on each chronobiotic. Furthermore, the biological and pharmacological relevance of the database will be augmented through synchronization with additional resources, including the FDA. In cases of overlapping data, compound cards will highlight the unique properties of each chronobiotic, thereby providing a robust and multifaceted resource for researchers and practitioners in the field.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"7 3","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12286229/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144699694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Translation and Validation of the Richards-Campbell Sleep Questionnaire for Intensive Care Unit Patients in Morocco: Reliability and Validity Assessment.","authors":"Abdelmajid Lkoul, Keltouma Oum'barek, Mohamed Amine Baba, Asmaa Jniene, Tarek Dendane","doi":"10.3390/clockssleep7030031","DOIUrl":"10.3390/clockssleep7030031","url":null,"abstract":"<p><strong>Introduction: </strong>For patients in intensive care units, the Richards-Campbell Sleep Questionnaire (RCSQ) seems to be a useful tool for assessing sleep quality. However, its application in the Moroccan medical context could be limited due to the lack of a dialectal Arabic version for Morocco. This study's objective was to translate and validate the RCSQ into Arabic for Moroccan speakers.</p><p><strong>Patients and methods: </strong>For this investigation, a cross-sectional design was adopted. The RCSQ was translated and validated into Arabic for Morocco in accordance with the recommendations. For every scale, psychometric properties were computed. The Cronbach's α coefficient was utilized to evaluate the internal consistency of multi-item measures.</p><p><strong>Results: </strong>The study involved 224 patients, whose mean age was 47 ± 18.3 years. The RCSQ's internal consistency, or Cronbach's alpha, was computed, and all dimensions showed good reliability over the 0.92 (0.894-0.983) level. The items demonstrated good reliability and validity, with correlation values larger than 0.4, according to the data.</p><p><strong>Conclusion: </strong>The RCSQ translated into Arabic for Morocco appears to have good psychometric qualities, making it useful for assessing the quality of sleep of patients in intensive care units within Moroccan healthcare settings.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"7 3","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12285945/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144699699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Causes and Effects of Postoperative Sleep Disorders and Treatment Strategies for Preoperative, Intraoperative, and Postoperative Settings-A Narrative Review.","authors":"Michael J Nelson, Darien A Yu, Augustine V H Ha, Mark R Wakefield, Yujiang Fang","doi":"10.3390/clockssleep7030029","DOIUrl":"10.3390/clockssleep7030029","url":null,"abstract":"<p><p>Sleep is an essential part of everyday life and disturbed sleep can produce numerous deleterious effects on the body. An especially prevalent and detrimental subset of sleep disturbances are sleep disturbances that occur in patients during the postoperative period. To better understand these disorders and how to treat them, a literature search was conducted to identify and consolidate recent advancements in this field. This narrative review discusses the structure of a typical night of sleep and the causes, effects, and treatment strategies of Postoperative Sleep Disturbances (PSDs). Factors that contribute to the development of PSDs have been identified at all stages of the surgical process, including the preoperative, intraoperative, and postoperative timepoints. Exposure to these factors can accumulate during each step and may decrease the quality of sleep postoperatively. The development of PSDs has been found to affect multiple systems throughout the body and can ultimately lead to poorer recovery times and increased postoperative mortality. As a result, multiple therapeutic approaches are being investigated for their role in reducing the prevalence of these disorders. This has revealed promising interventions throughout the surgical process, such as preoperative nerve blocks, intraoperative infusions, and postoperative behavioral interventions. However, despite these successful findings, work still needs to be completed to optimize these techniques and generalize intervention strategies.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"7 3","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12286151/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144699693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Sleep Sensor Made with Electret Condenser Microphones.","authors":"Teru Kamogashira, Tatsuya Yamasoba, Shu Kikuta, Kenji Kondo","doi":"10.3390/clockssleep7020028","DOIUrl":"10.3390/clockssleep7020028","url":null,"abstract":"<p><p>Measurement of respiratory patterns during sleep plays a critical role in assessing sleep quality and diagnosing sleep disorders such as sleep apnea syndrome, which is associated with many adverse health outcomes, including cardiovascular disease, diabetes, and cognitive impairments. Traditional methods for measuring breathing often rely on expensive and complex sensors, such as polysomnography equipment, which can be cumbersome and costly and are typically confined to clinical settings. These factors limit the performance of respiratory monitoring in routine settings and prevent convenient and extensive screening. Recognizing the need for accessible and cost-effective solutions, we developed a portable sleep sensor that uses an electret condenser microphone (ECM), which is inexpensive and easy to obtain, to measure nasal airflows. Constant current circuits that bias the ECM and circuit constants suitable for measurement enable special uses of the ECM. Furthermore, data transmission through the XBee wireless communication module, which employs the ZigBee short-range wireless communication standard, enables highly portable measurements. This customized configuration allows the ECM to detect subtle changes in airflow associated with breathing patterns, enabling the monitoring of respiratory activity with minimal invasiveness and complexity. Furthermore, the wireless module not only reduces the size and weight of the device, but also facilitates continuous data collection during sleep without disturbing user comfort. This portable wireless sensor runs on batteries, providing approximately 50 h of uptime, a ±50 Pa pressure range, and 20 Hz real-time sampling. Our portable sleep sensor is a practical and efficient solution for respiratory monitoring outside of the traditional clinical setting.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"7 2","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12191682/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144486333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Giertz et al. Healthcare Burden and Productivity Loss Due to Narcolepsy in Sweden. <i>Clocks & Sleep</i> 2025, <i>7</i>, 8.","authors":"Anna Giertz, Johan Mesterton, Tanja Jakobsson, Stephen Crawford, Somraj Ghosh, Anne-Marie Landtblom","doi":"10.3390/clockssleep7020027","DOIUrl":"10.3390/clockssleep7020027","url":null,"abstract":"<p><p>In the original publication [...].</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"7 2","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12175986/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144303022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations Between Sleep Patterns, Circadian Preference, and Anxiety and Depression: A Two-Year Prospective Study Among Norwegian Adolescents.","authors":"Linn Nyjordet Evanger, Ingvild West Saxvig, Ståle Pallesen, Michael Gradisar, Stein Atle Lie, Bjørn Bjorvatn","doi":"10.3390/clockssleep7020026","DOIUrl":"10.3390/clockssleep7020026","url":null,"abstract":"<p><p>This study explored whether sleep duration, insomnia, social jetlag, and circadian preference predicted adolescents' risk of anxiety and depression two years later. High school students initially aged 16-17 years were, in 2019 and 2021, invited to a web-based survey assessing sleep patterns, insomnia, circadian preference, anxiety, and depression. Sleep duration, insomnia, circadian preference, depression, and anxiety were assessed using the Munich ChronoType Questionnaire, the Bergen Insomnia Scale, the reduced Morningness-Eveningness Questionnaire, the Patient Health Questionnaire-9, and the Generalized Anxiety-Disorder 7, respectively. Analyses were conducted using logistic regression analyses. The analytic longitudinal sample comprised 1456 students (initial mean age 16.4 years; 61.4% girls). Short school night sleep duration, chronic insomnia, and more severe insomnia symptoms at baseline predicted greater risk of anxiety and depression at follow-up when controlled for anxiety and depression at baseline. Neither free night sleep duration nor social jetlag at baseline were related to the risk of anxiety and depression at follow-up. When circadian preference was investigated continuously, greater morningness at baseline predicted lower risk of anxiety and depression at follow-up. When circadian preference was investigated categorically, evening preference type was associated with higher risk of depression at follow-up than intermediate preference type, while the prospective risk of anxiety and depression otherwise did not differ in relation to circadian preference. The results attest to prospective associations between adolescent sleep problems at baseline and later risk of anxiety and depression.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"7 2","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12191514/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144486334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring Lifestyles and Sensory Processing Patterns of Toddlers in Relation to Sleep Patterns Using Body Movement Analysis.","authors":"Azusa Ono, Yoshiko Iwatani, Arika Yoshizaki, Tomoko Nishimura, Ikuko Mohri, Kuriko Kagitani-Shimono, Masako Taniike","doi":"10.3390/clockssleep7020025","DOIUrl":"10.3390/clockssleep7020025","url":null,"abstract":"<p><p>This study explored the impact of lifestyle habits and sensory processing patterns on sleep quality by analyzing body movements (BMs) during the first and last 3 h of sleep in toddlers. We collected cross-sectional data about sleep-related habits from 58 toddlers using a mobile application. Actigraphy measured BMs during nighttime sleep and 1 h before bedtime, as well as sleep latency, over 8 consecutive days. The Infant/Toddler Sensory Profile was used to assess the toddlers' sensory processing patterns. The participants had a mean age of 22.0 ± 2.0 months. BMs were significantly lower during the first 3 h of sleep. Longer sleep latency was significantly associated with media use and higher activity levels before bedtime. Ending a nap earlier and consuming a substantial breakfast were correlated with lower BMs during the first 3 h of sleep. Auditory and oral sensory scores were positively correlated with BMs during the first 3 h of sleep. However, no specific factors related to lifestyle habits or sensory processing patterns were found to correlate with BMs during the last 3 h of sleep. Lifestyle habits and sensory processing patterns have a significant impact on toddlers' sleep quality, emphasizing the importance of appropriate routines and environments.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"7 2","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12101242/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144128978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of Tailored Versus Standard Group Cognitive Behavioral Therapy for Shift Worker Insomnia: A Randomized Controlled Trial.","authors":"Tanja Grünberger, Christopher Höhn, Manuel Schabus, Belinda Angela Pletzer, Anton-Rupert Laireiter","doi":"10.3390/clockssleep7020024","DOIUrl":"10.3390/clockssleep7020024","url":null,"abstract":"<p><p>Shift workers are at increased risk of insomnia. The standard treatment (cognitive behavioral therapy for insomnia) poses significant challenges for this demographic due to irregular work and sleep schedules. New approaches are still considered insufficient due to high attrition or insufficient effectiveness. Our preliminary study identified sleep-relevant state and trait factors (see secondary outcomes) for incorporation into an innovative manual that addresses sleep in an implicit manner. The objective was to reduce the focus on insomnia and to replace regularity-based interventions. With a sample of 55 insomniacs (67.74% male, mean age 41.62 years), standard and customized treatments were compared using pre-treatment, post-treatment, and three-month follow-up measurements (RCT, self-assessment data). Our linear mixed models revealed the main significant effects of the measurement point for the primary (insomnia severity, sleep quality, sleep onset latency, total sleep time, daytime sleepiness) and the secondary outcomes (selection: anxiety/depression, dysfunctional beliefs, arousal, emotional stability, concern). No main effects of the condition or interaction effects were identified. Non-inferiority and equivalence tests demonstrated that the customized treatment is equivalent to standard therapy, which is a favorable outcome in light of the implicit approach. Consequently, this innovative approach warrants further exploration, incorporating the present results.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"7 2","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12101211/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144128976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sleep Problems and Sleep Quality in the General Adult Population Living in South Tyrol (Italy): A Cross-Sectional Survey Study.","authors":"Dietmar Ausserhofer, Giuliano Piccoliori, Adolf Engl, Pasqualina Marino, Verena Barbieri, Stefano Lombardo, Timon Gärtner, Christian J Wiedermann","doi":"10.3390/clockssleep7020023","DOIUrl":"10.3390/clockssleep7020023","url":null,"abstract":"<p><p>It remains unclear how sleep health has developed in the general population after the COVID-19 pandemic. This study aimed to (1) investigate the prevalence of sleep problems and poor sleep quality and (2) explore the associated sociodemographic and health-related factors in South Tyrol, Italy. A cross-sectional, population-based survey was conducted with a stratified probabilistic sample of 4000 adults aged ≥ 18 years. Sleep quality was assessed using the brief version of the Pittsburgh Sleep Quality Index. Descriptive and logistic regression analyses were performed to analyze the data. A total of 2090 adults (53%) completed the survey. Poor sleep quality was reported by 17.8%, with 28.2% of participants reporting insufficient sleep duration (i.e., six hours or less), 12.7% having problems staying asleep (i.e., waking up to 3-4 times a week and unable to fall asleep again), and 8.7% having problems falling asleep (i.e., >30 min). Sleep problems and poor sleep quality were associated with sociodemographic and health-related factors, including gender, age, mother tongue, chronic disease, and sleep hygiene. Notably, Italian-speaking participants reported poorer sleep quality and greater difficulty staying asleep compared to German-speaking participants, highlighting potential sociocultural influences on sleep health. This study contributes to understanding the unique sleep health challenges in a multilingual region, highlighting the role of sociocultural factors in sleep quality differences between language groups.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"7 2","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12101147/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144128987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risk of Major Depression Associated with Excessive Daytime Sleepiness in Apneic Individuals.","authors":"Matteo Conenna, Camille Point, Benjamin Wacquier, Jean-Pol Lanquart, Matthieu Hein","doi":"10.3390/clockssleep7020022","DOIUrl":"10.3390/clockssleep7020022","url":null,"abstract":"<p><p>Considering the frequent co-occurrence of major depressive disorder and excessive daytime sleepiness in apneic individuals, this study aimed to explore the relationship between excessive daytime sleepiness and the risk of developing major depressive disorder in this specific subpopulation. Demographic and polysomnographic data were retrospectively extracted from the clinical database of 1849 apneic individuals at the Sleep Unit. Excessive daytime sleepiness was considered present when the Epworth Sleepiness Scale score was >10 and major depressive episodes were diagnosed according to DSM criteria. Logistic regression analyses were performed to assess the risk of major depressive disorder associated with excessive daytime sleepiness in apneic individuals. The prevalence of major depressive disorder was 26.3% in apneic individuals. After controlling for major confounding variables, multivariate logistic regression analyses revealed that apneic individuals with complaints of excessive daytime sleepiness had a higher likelihood of developing major depressive disorder compared to those without complaint of excessive daytime sleepiness. This study highlights the strong association between excessive daytime sleepiness and major depressive disorder in apneic individuals, underlining the importance of systematically assessing and adequately treating excessive daytime sleepiness to better manage depressive symptoms and improve overall treatment outcomes in this specific subpopulation.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"7 2","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12101287/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144128982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}