Nature and Science of Sleep最新文献

{"title":"Sleep Duration and Cardiometabolic-Kidney-Metabolic Syndrome: The Role of Depressive Symptoms in a Longitudinal Study.","authors":"Yilin Pan, Jingru Bi, Long Feng, Xiaoyun Li","doi":"10.2147/NSS.S537555","DOIUrl":"10.2147/NSS.S537555","url":null,"abstract":"<p><strong>Background: </strong>Sleep disturbances are increasingly recognized as modifiable risk factors for metabolic and cardiovascular diseases. However, the relationship between sleep duration patterns and Cardiometabolic-Kidney-Metabolic (CKM) syndrome remains underexplored, particularly regarding the mediating role of mental health factors. This study investigates the longitudinal association between sleep duration and CKM risk, examining whether depressive symptoms mediate this relationship.</p><p><strong>Methods: </strong>We analyzed data from 6462 participants (aged ≥45 years) from the China Health and Retirement Longitudinal Study. Sleep duration was self-reported and categorized as short (<7 hours), optimal (7-9 hours), or long (>9 hours), with 2-year sleep trajectories also defined. CKM syndrome was classified per American Heart Association guidelines, and depressive symptoms were assessed via the 10-item Center for Epidemiologic Studies Depression Scale. Associations were examined using multivariable logistic regression, restricted cubic splines, and causal mediation analysis.</p><p><strong>Results: </strong>Baseline short sleep duration was independently associated with increased CKM risk (adjusted OR = 1.148; 95% CI: 1.014-1.299). Persistently abnormal sleep over two years further elevated this risk (OR = 1.259; 95% CI: 1.077-1.471). We observed a significant non-linear dose-response relationship between sleep duration and CKM risk (P = 0.031). Causal mediation analysis showed that depressive symptoms partially mediated this association (ACME = -0.002; P < 0.001). Subgroup analyses revealed stronger associations among women, individuals with lower education, and urban residents.</p><p><strong>Conclusion: </strong>Both short and persistently abnormal sleep independently increase CKM syndrome risk, with depressive symptoms acting as a key mediator. These findings highlight the importance of integrated interventions targeting sleep optimization and mental health management, particularly for high-risk demographic subgroups. Sleep assessment should be incorporated into CKM risk stratification and prevention strategies.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1883-1893"},"PeriodicalIF":3.4,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12379983/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144961988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can the Sun Prevent Weekend Sleep Advance After Early Weekday Wakeups?","authors":"Arcady A Putilov, Evgeniy G Verevkin","doi":"10.2147/NSS.S543386","DOIUrl":"10.2147/NSS.S543386","url":null,"abstract":"<p><strong>Purpose: </strong>There is sparse evidence on how circadian sleep timing is affected by 5 days on/2 days off school/work schedule. In an in silico study, we applied a model of sleep-wake regulation to highlight the difference in predictions based on two alternative explanations proposing either sun time or social time (eg, either solar midday or weekday risetime) as the major contributor to light entrainment of sleep timing. Self-reported sleep times were then used to confirm these predictions.</p><p><strong>Methods: </strong>The difference between earlier and later weekday risers in weekend sleep timing their difference in weekday risetime were compared. This difference in weekday risetime is equal to the sum of differences in sleep phase shift on weekends and sleep loss on weekdays measured as the differences in weekend risetime and weekend-weekday gap in risetime, respectively. Three sets of samples were used for these estimations: 87 and 100 paired samples obtained before vs during lockdown and during early vs later school start time (five and three age subsets, respectively) and 1250 vs 1192 unpaired samples with weekday risetime not earlier vs later than 7 a.m. (five age subsets).</p><p><strong>Results: </strong>In any age subset, a shift in social time (weekday risetime) caused a shift in weekend sleep phase (weekend risetime) due to a shift in the 24-h pattern of exposure to light, but this sleep phase shift was less pronounced than the shift in social time.</p><p><strong>Conclusion: </strong>Both social time and sun time substantially contribute to the light entrainment of circadian sleep timing.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1895-1913"},"PeriodicalIF":3.4,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12380101/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144961997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From Big Data to AI-Driven Decisions in Obstructive Sleep Apnea: A Narrative Review Integrating the DDPP Framework.","authors":"Mengying Wu, Kexin Wang, Huai Huang, Xiaodan Wu, Zilong Liu, Shanqun Li","doi":"10.2147/NSS.S543091","DOIUrl":"10.2147/NSS.S543091","url":null,"abstract":"<p><p>Obstructive sleep apnea (OSA) remains underdiagnosed and inadequately managed despite an explosion in multimodal data and swift progress in artificial intelligence (AI). To elucidate the extent of AI techniques utilized in OSA data resources, we conducted a comprehensive literature search in PubMed, Web of Science, Scopus, and IEEE Xplore from 1 April 2020 to 1 April 2025. Search terms related to AI were combined with \"obstructive sleep apnea\", and 575 original studies were found after de-duplication and exclusion. We employed the DDPP analytics model (Descriptive, Diagnostic, Predictive, and Prescriptive), derived from the business domain, to structure reported clinical applications. The study indicates a significant gap between available data and current AI: most research focuses on sleep monitoring signals, whereas patient-reported outcomes, electronic health records, and environmental data (both social and natural) are largely underutilized. In clinical practice, applications typically concentrate on Descriptive and Diagnostic phases, while Prescriptive analytics for personalized therapy is scarce. This is the first review to assess AI projects from the perspective of OSA data resources, and the first to apply the DDPP framework for sleep medicine analytics. We call on researchers to mine OSA-related data from multiple dimensions and to select suitable AI technologies based on the data characteristics, thereby enhancing clinical decision-making.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1863-1882"},"PeriodicalIF":3.4,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12377481/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144961923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations Between Sleep Duration, Sleep Quality, and Depressive Symptoms: Evidence from Medical Graduate Students in China.","authors":"Hong He, Yanlin Zeng, Zhibing Chen, Min Wu, Yan Wang","doi":"10.2147/NSS.S536854","DOIUrl":"10.2147/NSS.S536854","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to explore the independent and combined effects of sleep duration and sleep quality on depressive symptoms in the medical graduate student population, utilizing causal inference methods, in order to provide more informative evidence to support mental health interventions in this group.</p><p><strong>Methods: </strong>A cross-sectional study was conducted among 2591 medical graduate students from Sun Yat-sen University in Guangdong, China. Participants completed self-administered questionnaires, including the Center for Epidemiological Survey Depression Scale (CES-D) for depressive symptoms and the Pittsburgh Sleep Quality Index (PSQI) scale for sleep quality. Sleep duration was categorized based on hours of sleep per night. A causal inference approach using inverse probability weighting (IPW) was employed to evaluate the relationship between sleep factors and depression risk.</p><p><strong>Results: </strong>Individuals sleeping less than 7 hours had a 1.65-fold higher depression risk (<i>95% CI</i>: 1.26-2.14), while those sleeping ≥9 hours had a 0.67-fold lower risk (<i>95% CI</i>: 0.47-0.95). High sleep quality reduced depression risk. In the low sleep quality group, short sleep increased depression risk by 1.40-fold (9<i>5% CI</i>: 1.02-1.94), while long sleep decreased it by 0.66-fold (9<i>5% CI</i>: 0.45-0.97). In the high sleep quality group, sleeping 8-9 hours increased depression risk by 1.80-fold (<i>95% CI</i>: 1.10-2.95) compared to 7-8 hours. Sensitivity analyses confirmed the robustness of these findings across different IPW models.</p><p><strong>Conclusion: </strong>Both sleep duration and quality are significantly associated with depressive symptoms among medical graduate students. These findings may support targeted interventions that improving sleep hygiene, particularly for those with low sleep quality, while also emphasizing the importance of maintaining an optimal sleep duration of 7-8 hours for those with high-quality sleep.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1853-1862"},"PeriodicalIF":3.4,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12367923/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144961825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum: Prevalence and Associative Analysis of Thyroid Dysfunction in Patients with Obstructive Sleep Apnea Hypopnea Syndrome: A Cross-Sectional Study [Corrigendum].","authors":"","doi":"10.2147/NSS.S560359","DOIUrl":"10.2147/NSS.S560359","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.2147/NSS.S515819.].</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1851-1852"},"PeriodicalIF":3.4,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12368355/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144961994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association Between Soy Product Intake and Insomnia in Chinese Middle-Aged and Older Adults: A Cross-Sectional Study.","authors":"Lanrong Sun, Jiaying Lao, Haihui Guo, Jinzhong Xu, Yu-Hsin Chen, Xingguang Luo, Shencong He, Weiming Hu, Fan Wang, Li Chen, Yanlong Liu, Qizeng Wang, Wenhui Lin","doi":"10.2147/NSS.S506431","DOIUrl":"10.2147/NSS.S506431","url":null,"abstract":"<p><strong>Background and objective: </strong>Insomnia has various adverse effects on middle-aged and older adults. Improving insomnia by adjusting diet has attracted attention. This study investigated the relationship between soy product intake and insomnia in middle-aged and older adults and explored the role of inflammatory factors.</p><p><strong>Methods: </strong>The study included 877 middle-aged and older adults aged ≥45 years which from general patients who made an appointment or were admitted to the cardiology department at Wenling Hospital in Taizhou City. The proportion of female participants is 35.01%. Soy product intake was assessed using the Food Frequency Questionnaire (FFQ), sleep was quantified using the Insomnia Severity Index (ISI). The median (IQR) of soy product intake is ≤1 time per week (≤1 time per week, 2-6 times per week) and the mean/SD value of insomnia score is 5.43/5.13.</p><p><strong>Results: </strong>In Chinese middle-aged and older adults, soy product intake was negatively correlated with insomnia (|r|s ≥ 0.117, ps < 0.001), C-reactive protein (CRP), tumor necrosis factor-alpha (TNF-α) and triglyceride (TG) levels (adjusted β: -0.139, 95% CI: -0.265 to -0.012; β: -0.049, 95% CI: -0.091 to -0.006; β: -0.043, 95% CI: -0.085 to -0, respectively). There was no significant correlation between soy product intake and White Blood Cell (WBC), Absolute Neutrophil Count (GRAM), Platelet Count (PLT), Interleukin-1β (IL-1β), Interleukin-2 (IL-2), Interleukin-6 (IL-6), Hemoglobin (Hb), Red Blood Cell (RBC), Low-Density Lipoprotein Cholesterol (LDL-C), High-Density Lipoprotein Cholesterol (HDL-C) and Total Cholesterol (TC) levels.</p><p><strong>Conclusion: </strong>Lower levels of soy product intake are associated with higher rates of insomnia in the middle-aged and older adults. Additionally, soy product intake is negatively correlated with peripheral blood CRP, TNF-α and TG levels. This study provides a new clinical perspective for middle-aged and older adults to enhance sleep through a balanced diet, wherein the inflammation and lipid may play a potentially crucial role.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1837-1849"},"PeriodicalIF":3.4,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12358130/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144874212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Respiratory Arousal Threshold in Patients with Epilepsy and Obstructive Sleep Apnea.","authors":"Ting-Wei Liao, Chun-Wei Chang, Mei-Yun Cheng, Tony Wu, Ning-Hung Chen, Shih-Wei Lin, Li-Pang Chuang","doi":"10.2147/NSS.S535940","DOIUrl":"10.2147/NSS.S535940","url":null,"abstract":"<p><strong>Background: </strong>Patients with epilepsy (PWE) have a higher likelihood of developing obstructive sleep apnea (OSA). However, limited literature investigates the phenotypes of OSA in this population. This study aimed to evaluate the respiratory arousal threshold (rAT) in PWE with concurrent OSA.</p><p><strong>Methods: </strong>Patients were recruited from the Sleep and Epilepsy Center at Chang Gung Memorial Hospital between January 2010 and June 2022. We included adult patients who underwent overnight in-laboratory polysomnography after the onset of epilepsy. Additionally, age-, sex-, and apnea-hypopnea index (AHI)-matched patients with OSA only were included as controls. Low rAT was defined using predictive models based on polysomnography criteria.</p><p><strong>Results: </strong>We enrolled 48 PWE, of whom 36 (75%) had concurrent OSA (PWE+OSA), and 108 patients with OSA only. PWE+OSA were older upon PSG examination and had a later epilepsy onset compared to PWE only. PWE had more concomitant antiseizure medications and hypnotics compared to patients with OSA only. Among those with OSA, 19 (52.8%) with PWE+OSA and 68 (63.0%) with OSA only were predicted to have a low rAT. Continuous positive airway pressure compliance was significantly lower in the low rAT subgroup compared to the high rAT subgroup (p = 0.021) within the OSA-only group, whereas no significant difference was observed between rAT subgroups in the PWE+OSA group.</p><p><strong>Conclusion: </strong>Our study provides insights into the presence of a low rAT in PWE+OSA, with no significant difference in its ratio compared to OSA controls. However, since rAT was estimated using a predictive model rather than direct measurement, this limitation may affect the interpretation of our findings. Further studies using gold-standard methods are needed to clarify the underlying mechanisms contributing to the higher OSA prevalence in PWE.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1825-1836"},"PeriodicalIF":3.4,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12341830/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144835783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Clinical and Economic Burden of Idiopathic Hypersomnia and Narcolepsy: A United States Claims-Based Analysis.","authors":"Ragy Saad, Sarah C Markt, Prasheel Lillaney, Deb A Profant, Douglas S Fuller, Elizabeth M Poole, Trevor Alvord, Patricia Prince, Shaina Desai, Marisa Whalen, Weiyi Ni, Jed Black","doi":"10.2147/NSS.S498213","DOIUrl":"10.2147/NSS.S498213","url":null,"abstract":"<p><strong>Purpose: </strong>Idiopathic hypersomnia and narcolepsy are similar but distinct sleep disorders. This study evaluated the clinical and economic burden experienced by individuals with either condition.</p><p><strong>Patients and methods: </strong>Merative^™ MarketScan^® Research Databases claims were analyzed (study period, 12/31/2013-2/29/2020). Eligible individuals were ≥18 years of age, continuously enrolled (365 days before/after cohort entry), and had a claim for either condition. Those with cataplexy were excluded from the idiopathic hypersomnia cohort. Individuals entered cohorts upon their earliest claim for their condition during the study period. Clinical classification categories, select conditions, healthcare resource utilization (HCRU), and medical costs were assessed over a 2-year period. Percentages of individuals with comorbid conditions were summarized. Mean (SD) HCRU and total all-cause medical costs were presented per patient per year (PPPY). HCRU and medical costs PPPY were HCRU or medical costs 365 days before/after cohort entry divided by 2.</p><p><strong>Results: </strong>11,426 individuals with idiopathic hypersomnia and 31,214 with narcolepsy were included. Median ages were 45 and 43 years, respectively; approximately 65% of each cohort was female. Mean numbers of comorbid conditions across all categories were 15.4 (5.4) and 14.6 (5.7), respectively. Ill-defined conditions (95.6%, 94.4%), nervous system diseases (83.8%, 100.0%), and respiratory system diseases (83.6%, 79.1%) were most common broad clinical classification categories. Both cohorts experienced sleep apnea (62.8%, 52.1%), hypertension (45.7%, 42.9%), hyperlipidemia (42.2%, 38.4%), pain (66.4%, 66.0%), and mood disorders (41.9%, 43.3%). Mean all-cause outpatient visits PPPY among those with ≥1 visit were 28.2 (40.1) and 27.4 (40.6) for individuals with idiopathic hypersomnia or narcolepsy, respectively. Mean all-cause medical costs PPPY were $11,134 ($22,674) and $11,591 ($25,956) for individuals with idiopathic hypersomnia or narcolepsy.</p><p><strong>Conclusion: </strong>Individuals with narcolepsy and idiopathic hypersomnia experience comorbid conditions which bear consequences for healthcare systems; these may be considered when evaluating overall health of individuals with either condition.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1809-1823"},"PeriodicalIF":3.4,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12341555/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144835784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative Effects of Two Acupuncture Protocols in the Management of Chronic Insomnia: A Randomized Controlled Trial.","authors":"Lianbo Li, Mingyue Xia, Xinyu Chen, Fengxiao Wang, Jie Li, Na Zhao, Zhen Liu, Yunfei Chen","doi":"10.2147/NSS.S521578","DOIUrl":"10.2147/NSS.S521578","url":null,"abstract":"<p><strong>Background: </strong>Chronic Insomnia Disorder (CID) significantly impairs both sleep quality and daytime functioning. However, current treatments have limited efficacy in improving daytime function and are often associated with side effects. This highlights the urgent need for effective and safe therapeutic approaches that can target both nocturnal and daytime symptoms.</p><p><strong>Objective: </strong>To evaluate the clinical efficacy and safety of acupuncture in improving sleep quality and daytime functioning in patients with chronic insomnia, and to optimize its treatment protocol.</p><p><strong>Methods: </strong>This study was a single-blind, randomised, controlled trial. The treatment group received acupuncture at HT7, BL15, LR3 and BL18, while the control group was treated at GV20, EX-HN22, BL62 and KI6. Each group underwent 10 sessions administered three times per week. The Insomnia Severity Index (ISI) served as the primary evaluation index for sleep efficacy, while the Pittsburgh Sleep Quality Index (PSQI) and polysomnography (PSG) were secondary indexes for sleep quality. The Beck Anxiety Inventory (BAI), Beck Depression Inventory (BDI), Fatigue Severity Scale (FSS), and Epworth Sleepiness Scale (ESS) were used to evaluate daytime functional impairment.</p><p><strong>Results: </strong>Totally 76 patients were included in this study and randomly assigned to the treatment group (n=38) and the control group (n=38). Both groups showed significant improvements in sleep quality and daytime functioning. The treatment group exhibited a mean ISI reduction of 7.58 points versus 5.71 points in the control group; however, this difference was not statistically significant. PSG data revealed similar improvements in total sleep time, sleep efficiency, and REM sleep percentage across groups. Notably, the treatment group demonstrated significantly greater reductions in BAI and BDI scores (p<0.05), while improvements in FSS and ESS scores were comparable.</p><p><strong>Conclusion: </strong>Acupuncture is an effective and safe treatment to improve sleep as well as daytime functioning for chronic insomnia. The protocol using HT7, BL15, LR3 and BL18 may offer added benefits for reducing anxiety and depressive symptoms.</p><p><strong>Clinical trial registration: </strong>This study was registered with the China Clinical Trial Registry (CCTR), registration ID: ChiCTR2200066102.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1789-1803"},"PeriodicalIF":3.4,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12338104/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144822084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Construction and Validation of a Machine Learning-Based Risk Prediction Model for Sleep Quality in Patients with OSA [Response to Letter].","authors":"Botang Guo","doi":"10.2147/NSS.S554172","DOIUrl":"10.2147/NSS.S554172","url":null,"abstract":"","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1807-1808"},"PeriodicalIF":3.4,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12338315/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144822085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}