Sleep最新文献

{"title":"Accelerometer-measured sleep habits in Danish children and adolescents aged 3 to 17 years: a pooled analysis with 9,000 participants from six cross-sectional population-based studies.","authors":"Maja Sulstad Johansen, Jesper Schmidt-Persson, Natascha Holbæk Pedersen, Claus Lindenskov Andersen, Jan Christian Brønd, Peter Lund Kristensen, Jesper Lundbye-Jensen, Mette Toftager, Lise Hestbæk, Randi Jepsen, Henriette Boye, Katrine Rich Madsen, Rachael Taylor, Kim Meredith-Jones, Poul Jennum, Anders Grøntved","doi":"10.1093/sleep/zsag076","DOIUrl":"https://doi.org/10.1093/sleep/zsag076","url":null,"abstract":"<p><strong>Study objectives: </strong>Sleep is vital for health and development, yet inadequate sleep among children and adolescents has risen in recent decades, constituting a pressing public health problem. However, much of the existing research is predominantly based on self- or parent-report, which can be prone to bias. This study used accelerometry-based measures to describe age- and sex-specific sleep habits.</p><p><strong>Methods: </strong>Thigh-mounted accelerometers were used to measure nocturnal total sleep time (TST), adherence to sleep duration recommendations, bedtime, wake time, chronotype, and sleep variability among 8,948 children and adolescents aged 3-17 years. Mixed-effects linear and quantile regression models fitted with fractional polynomials were used to explore the effects of age and sex on sleep.</p><p><strong>Results: </strong>Sleep habits differed significantly from childhood through adolescence, with consistent differences between weekdays and weekends. TST rose slightly from ages 3 to 5 years and then declined through adolescence, with consistently higher adherence among girls than boys. Chronotype, bedtime and wake time became increasingly later with age. TST variability was greatest among the youngest children and oldest adolescents, bedtime variability declined with age, whereas wake time variability increased. Overall, girls exhibited earlier changes in sleep habits compared to boys, whereas boys showed a more rapid progression of sleep habit shifts during adolescence.</p><p><strong>Conclusions: </strong>Nocturnal sleep showed gradual and continuous differences from 3 to 17 years of age, indicating stability only within relatively narrow age intervals. Variations in the rate and timing of differences between boys and girls underscore the need for refined age- and sex-specific sleep duration recommendations.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147474785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Age-Related Patterns in Distal Skin Temperature During Naps.","authors":"Severine Soltani, Wendy Hartogensis, Patrick Kasl, Subhasis Dasgupta, Stephan Dilchert, Frederick M Hecht, Benjamin L Smarr, Ashley E Mason","doi":"10.1093/sleep/zsag077","DOIUrl":"https://doi.org/10.1093/sleep/zsag077","url":null,"abstract":"<p><strong>Study objectives: </strong>Naps are common worldwide; despite their prevalence, physiological changes during naps are less well-characterized than during nighttime sleep. We aimed to characterize napping patterns and their associated physiological changes across age groups.</p><p><strong>Methods: </strong>We used longitudinal wearable device data from 20,027 individuals from the TemPredict Study to assess (1) napping frequency and timing and (2) distal skin temperature changes around naps.</p><p><strong>Results: </strong>Older age groups napped more frequently and consistently throughout the week. Individuals aged 30-49 years showed the greatest increase in nap frequency from weekdays to weekends, whereas younger (18-19 years) and older (>60 years) age groups showed the smallest increases. Sleep timing and distal skin temperature rhythms appeared tightly coupled, even during the daytime. Both sleep timing and distal skin temperature rhythms appeared phase-delayed among younger age groups relative to older age groups. Distal skin temperature was higher during naps on weekends relative to weekdays. Older individuals (>65 years) had lower distal skin temperatures during naps relative to younger individuals (≤30 years) (weekends: p<.0001; δ=-0.20; weekdays: p<.0001; δ=-0.19). Longer naps were generally associated with greater distal skin temperature before napping, especially among younger individuals (≤30 years).</p><p><strong>Conclusion: </strong>We observed age-related differences in napping patterns and distal skin temperature around and during naps. Future research should examine whether such distal skin temperature changes around naps relate to sleep pressure and age-related disease risk.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147500002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Testing Affect Regulation Theories of Dreaming.","authors":"Garrett R Baber, Nancy A Hamilton, Jeffrey M Girard, Pilleriin Sikka, Amber Watts, Daiil Jun, Matthew K P Gratton, Jamie M Cohen, Anna K Quesada, Elijah C Nichols, Tony J Cunningham","doi":"10.1093/sleep/zsag046","DOIUrl":"10.1093/sleep/zsag046","url":null,"abstract":"<p><strong>Study objectives: </strong>Dreaming is theorized to regulate waking affect via fear extinction learning, similar to exposure therapy. We tested whether fear in dreams was associated with lower negative affect (NA) and higher positive affect (PA) on subsequent mornings and whether these effects were moderated by emotion regulation strategies or mixed dream emotion states. Additionally, we examined whether individuals with higher average dream fear showed more adaptive emotion regulation.</p><p><strong>Methods: </strong>We employed a natural language processing tool and Bayesian multilevel modeling using online daily survey data in a community sample (N = 536; 85.6% women; Mage = 39.3 ± 17.3; days = 4715).</p><p><strong>Results: </strong>Frightening dreams were associated with more negative affect the following morning (+7% NA, pd = 100%), which was amplified for individuals with more adaptive emotion regulation (+3% NA, pd = 98.69). Dreams concurrently high in fear and joy were related to 20% higher odds of zero NA the next morning (pd = 97.82%). Higher average dream joy was related to 9% higher morning PA (pd = 98.79%). Individuals with higher average dream fear showed greater adaptive emotion regulation (β = 0.18, pd = 99.93%).</p><p><strong>Conclusions: </strong>Findings supported affect continuity from dream-to-wake yet affect regulation at the individual level. Frightening dreams related to worse morning affect, with a more pronounced effect among high-regulation individuals. High-regulation individuals tended to experience more fearful dreams. Mixed dream emotions were related to mornings without NA and dream joy related to higher morning PA. Our findings suggest adaptive, though dynamic, effects of dream emotions on psychological functioning. Statement of Significance This study challenges existing dream theories by exploring the complex interplay between dream emotions, waking affect, and emotion regulation. We found that frightening dreams were associated with worse next-day affect, yet individuals who experienced more dream fear showed greater adaptive emotion regulation. Further, mixed emotion dreams (i.e., dreams high in fear and joy) were related to subsequent mornings with no negative affect. These findings suggest that dream emotions may play a role in waking psychological functioning. Our innovative approach combined a large community sample with advanced language processing to quantify dream emotions objectively. These findings suggest promising avenues for exploring whether dream emotions are modifiable targets in the treatment of mood concerns, such as major depressive disorder.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147445137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"'How Did You Sleep Last Night?': Predicting Young Adults' Subjective Sleep Quality Through the Use of Multi-night Ambulatory Sleep EEG.","authors":"Jack Peltz, Ronald D Rogge, Jamie M Zeitzer","doi":"10.1093/sleep/zsag074","DOIUrl":"https://doi.org/10.1093/sleep/zsag074","url":null,"abstract":"<p><strong>Study objectives: </strong>The current study's aim was to demonstrate the neurophysiological components of self-reported sleep quality through multi-wave assessment in a sample of healthy, young adults.</p><p><strong>Methods: </strong>Young adults (N = 156; Mage = 20.3 years, SD = 3.2; 77.6% female) completed a baseline online survey followed by wearing an ambulatory EEG and completing daily morning surveys for 10 consecutive days.</p><p><strong>Results: </strong>Multi-level structural equation modeling suggests that, at the within-person level, fewer N1 minutes, higher sleep efficiency, and more N2, N3, and REM minutes predicted higher daily reports of sleep quality. At the between-person level, higher socio-economic status, better perceived health, and lower perceived stress were associated with better sleep quality. This model explained 16.6% of the variance at the within-person level, 36.9% at the between-person level, and 22.5% of total variance in sleep quality. Multi-group models comparing shorter vs. longer duration sleepers in addition to less vs. more variable sleep durations suggested that EEG-derived macro-architecture was a stronger predictor of sleep quality in sleepers of longer and less variable duration. Finally, separate latent profile analyses in low- and high-quality sleepers identified meaningfully distinct sleep staging in both low- and high-quality sleep.</p><p><strong>Conclusions: </strong>These findings underscore sleep macro-architecture's role in predicting self-reported sleep quality and highlight the diverse responses characterized by measuring sleep quality. Given the ubiquity of assessing sleep quality as well as its importance in predicting individual functioning, the current findings elucidate sleep quality's neurophysiological underpinnings by identifying critical similarities and differences across low- and high-quality sleep. Statement of Significance This study employed an ecologically valid multi-night ambulatory EEG design across 10 consecutive nights to identify sleep macro-architecture's role in predicting self-reported sleep quality. The findings serve to elucidate the neurophysiological underpinnings of sleep quality by identifying critical similarities and differences across low- and high-quality sleep in healthy, young adults. In addition to highlighting the dynamic inter-relations between sleep staging and sleep quality across time, the current study demonstrates the importance of understanding myriad trait-like predictors of subjective sleep quality.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147445115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fatigued Teams: Night Work Impairs Team Performance and Cohesion.","authors":"Ellyse Greer, Mikaela Owen, Peter G Roma, Crystal Yates, Linda Grosser, Steven R Hursh, Chantal Maïs, Cedric Buche, Siobhan Banks","doi":"10.1093/sleep/zsag073","DOIUrl":"https://doi.org/10.1093/sleep/zsag073","url":null,"abstract":"<p><strong>Study objectives: </strong>Distributed teams working across the night in safety-critical industries experience stressful and fatiguing conditions, often compounded by circadian misalignment. While this disruption is known to impair individual neurobehavioral functioning, its impact on team-level processes remains underexplored. Hence, the aim of this study was to examine how night work impacts distributed team performance and cohesion.</p><p><strong>Methods: </strong>N=24 healthy, young individuals (M=25.38, SD=6.39 years, 13f) participated in a laboratory study undertaking one night of simulated night work. Through the night, distributed team members completed COHESION, a computer-based team performance task, at 18:00h, 22:00h, 02:00h, 06:00h and 10:00h. This task assessed individual cooperation, productivity and score, as well as team performance and dynamics. Measures of alertness and team cohesion were also administered.</p><p><strong>Results: </strong>There were significant differences across time of night for productivity, team performance, and cohesion (p<.05, ƞp2>0.14), with poorest outcomes at 06:00h. There were also significant differences across time of night for cooperation and team dynamics (p<.05, ƞp2>0.14), with deficits seen at 06:00h and 10:00h.</p><p><strong>Conclusions: </strong>This study found clear degradation in team outcomes during night work, particularly during the circadian low. At this time of the night, team members exhibited diminished alertness and productivity, leading to poorer team performance and cohesion. As such, the circadian system played a crucial role in modulating team performance and cohesion. Additionally, cooperation and team dynamics eroded across the night, persisting beyond the circadian low. These findings highlight the vulnerability of teams working at night, especially in safety-critical industries where effective teamwork is essential. Statement of Significance Night-shift workers in safety-critical settings experience well-known impairments in alertness, yet the consequences of this biological vulnerability for teamwork have been largely overlooked. This study shows that team performance and cohesion decline markedly during the early-morning hours when the circadian system promotes sleep, revealing a critical window in which teams are most at risk of reduced effectiveness. Importantly, disruptions to cooperation and team interactions persisted beyond this period, indicating that fatigue had enduring effects on overall team functioning. These findings highlight the need to consider biological timing when planning overnight operations and encourage future work aimed at developing strategies to sustain cooperative team functioning during and after periods of high fatigue.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147445140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Positive airway pressure therapy adherence and healthcare resource use in patients with obstructive sleep apnea and comorbidities.","authors":"Claire Launois, Frédéric Gagnadoux","doi":"10.1093/sleep/zsaf334","DOIUrl":"10.1093/sleep/zsaf334","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145378939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Post-infection sleep syndrome: long COVID as an example.","authors":"Haoqi Sun, Janet M Mullington, Robert Joseph Thomas","doi":"10.1093/sleep/zsaf366","DOIUrl":"10.1093/sleep/zsaf366","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13017009/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145522913","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":"Hypoxemia and arousals modulate cardiac responses to respiratory events in obstructive sleep apnea.","authors":"Serajeddin Ebrahimian, Saara Sillanmäki, Marika Rissanen, Eric Staykov, Antti Kulkas, Juha Töyräs, Raquel Bailón, Ludger Grote, Maria R Bonsignore, Mathias Baumert, Virend K Somers, Philip Terrill, Timo Leppänen, Samu Kainulainen","doi":"10.1093/sleep/zsaf382","DOIUrl":"10.1093/sleep/zsaf382","url":null,"abstract":"<p><strong>Study objectives: </strong>Respiratory events during sleep induce immediate cardiac alterations, including increased RR intervals during events and decreased RR intervals after events. However, the extent to which related desaturations and arousals modulate these responses remains underexplored. We hypothesized that desaturations and arousals are the main contributors to respiratory event-related cardiac response, with greatest cardiac alterations expected when both are present.</p><p><strong>Methods: </strong>We analyzed RR, QT, and heart rate-corrected QT (QTc) intervals before, during, and after 4310 respiratory events from 129 obstructive sleep apnea patients. Mixed-effect statistical models were utilized to assess the influence of the presence and severity of desaturations and arousals on the cardiac electrical response to respiratory events.</p><p><strong>Results: </strong>There were no significant differences between pre- and post-respiratory event RR and QTc intervals in the absence of desaturation or arousal. Arousal (RR estimate = -23.9 ms; QTc estimate = 5.7 ms) or simultaneous desaturation and arousal (RR estimate = -32.8 ms; QTc estimate = 8.4 ms) modulated significantly (p < .05) mean RR and QTc intervals after respiratory events. Desaturation alone affected only RR intervals (estimate = -9.3 ms, p<.05). Greater desaturation depth (RR estimate = -0.09 ms; QTc estimate = 0.56 ms) and longer arousal duration (RR estimate = -3.52 ms; QTc estimate = 0.84 ms) were significant (p < .05) predictors of RR and QTc magnitude alterations after respiratory events.</p><p><strong>Conclusions: </strong>Not all respiratory events have the same effects on cardiac electrophysiology; they are associated with acute alterations after events if they cause desaturations and/or arousal, with longer arousal and deeper desaturations increasing the magnitude of cardiac responses. Statement of Significance This study provides a detailed analysis of the temporal dynamics of cardiac response to respiratory events in obstructive sleep apnea patients, with a focus on the potential modulators of this response. Our observations present that not all respiratory events have the same effects on cardiac electrophysiology; they are associated with significant cardiac response if they cause desaturations and/or arousals, with longer arousal and deeper desaturations increasing the magnitude of cardiac response. Our results present evidence of possible modulators of post-event cardiac function, providing a deeper understanding of obstructive sleep apnea's impact on health as potential underlying mechanisms leading to adverse cardiovascular events.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13017676/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145649485","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":"Classification and clustering on nocturnal polysomnography: distinctions and overlaps between central disorders of hypersomnolence.","authors":"Marta Karas, Yishu Gong, Marco Vilela, Emily Schlafly, Francesco Onorati, Alice Cai, Melissa Naylor, Derek L Buhl, Dmitri Volfson, Brian Tracey, Lucie Barateau, Yves Dauvilliers","doi":"10.1093/sleep/zsaf380","DOIUrl":"10.1093/sleep/zsaf380","url":null,"abstract":"<p><strong>Study objectives: </strong>Differential diagnosis of narcolepsy type 2 (NT2) from type 1 (NT1) and idiopathic hypersomnia (IH) is challenging due to overlapping symptoms. We developed an automated method using nocturnal polysomnography (nPSG) data to differentiate these conditions and clinical controls (CCs), and explored varying sleep phenotypes within NT1, NT2, IH, and CCs.</p><p><strong>Methods: </strong>We analyzed nPSG data from drug-free individuals with NT1, NT2, and IH, or CCs. Sleep features were derived at whole-night and per-quarter-night levels, including hypnogram, transition probability, hypnodensity, spindle, and quantitative electroencephalogram (qEEG) features. Random forest machine learning models were used for three classification tasks. Within-diagnosis clustering identified potential diagnosis subgroups.</p><p><strong>Results: </strong>The sample included 350 individuals (52% females; median age 30 years; 114 NT1, 90 NT2, 105 IH, and 41 CCs). Our models achieved area under the receiver operating characteristic curve values of 0.87, 0.79, and 0.82 for distinguishing NT2 from CCs, NT2 from IH, and IH from CCs, with corresponding F1 scores of 0.74, 0.71, and 0.69, respectively. qEEG features substantially contributed to model performance, distinguishing NT2 from IH. Cluster analysis revealed two NT1 subgroups (one showing more severe sleep disturbances), two NT2 subgroups (one trended toward NT1, the other toward IH), and two IH subgroups with differences in hypnodensity, qEEG, and spindle characteristics.</p><p><strong>Conclusions: </strong>Our exploratory findings demonstrate strong diagnosis classification performance from nPSG data alone, more easily distinguishing NT2 from CCs than from IH, and IH from CCs. The distinct NT2 subgroups suggest heterogeneity within NT2; further research is warranted to explore these patterns. Statement of Significance Accurate diagnoses of narcolepsy types 2 (NT2) and 1 and idiopathic hypersomnia (IH) remain challenging due to overlapping symptoms. We developed a machine learning model using drug-free nocturnal polysomnography data to automatically differentiate NT2 from clinical controls, NT2 from IH, and IH from clinical controls, with high accuracy. Our model leverages a rich set of sleep features, including spindle and quantitative electroencephalogram (qEEG) metrics. Furthermore, our analysis revealed distinct sleep phenotypes within each diagnosis, suggesting subtypes with varying levels of sleep disturbance and differences at qEEG and spindle levels. These findings provide a novel approach to classifying central disorders of hypersomnolence and suggest disease heterogeneity, which could lead to more accurate and timely diagnoses and personalized treatment strategies.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13017669/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145669670","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":"Decoding the sleep enigma: a proteomic mediation analysis linking healthy sleep patterns to lung cancer risk.","authors":"Juan He, Yi Feng, Bo Cheng, Xiangyuan Zheng, Jingjia Cai, Kai Wu, Jie Liang, Xinyi Wu, Zixun Wang, Yuling Wu, Yinghong Hu, Chengfu Xian, Xin Bi, Ling Ye, Jianxing He, Wenhua Liang","doi":"10.1093/sleep/zsaf243","DOIUrl":"10.1093/sleep/zsaf243","url":null,"abstract":"<p><strong>Study objectives: </strong>The biological link between sleep patterns and lung cancer remains an enigma. This study aims to explore how healthy sleep patterns modulate lung cancer risk through proteomic mediation and develop a sleep-related biomarker panel.</p><p><strong>Methods: </strong>This study utilized data from the UK Biobank, comprising 34 881 participants. We used a composite sleep score that considered the following five sleep behaviors: sleep duration, chronotype, insomnia, snoring, and daytime sleepiness (0-5 scores). Proteomic profiling measured 2862 proteins, which were then used to build proteomic signatures through logistic regression to identify significant proteins, followed by LASSO regression to select representative biomarkers for forming weighted signatures. Cox proportional hazards models and mediation analysis were employed to evaluate associations between sleep patterns, proteins, and lung cancer risk.</p><p><strong>Results: </strong>Higher healthy sleep scores were significantly associated with reduced lung cancer risk, with hazard ratios (HR = 0.589, p = .046) for a score of 3 and (HR = 0.516, p = .013) for a score of 4. Similar trends were observed in non-small cell lung cancer and lung adenocarcinoma. Proteomic signature analysis revealed that protein signatures associated with healthy sleep scores had a protective effect against lung cancer (HR = 0.865, p < .001) and non-small cell lung cancer (HR = 0.863, p < .001). Additionally, mediation analysis identified 18 proteins with mediation proportions exceeding 10 per cent in the relationship between healthy sleep scores and lung cancer, with CXCL17 showing the highest mediation proportion.</p><p><strong>Conclusions: </strong>This study reveals a potential association between healthy sleep patterns and reduced lung cancer risk.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144969662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}