Sleep advances : a journal of the Sleep Research Society最新文献

{"title":"Assessing actigraphy performance for daytime sleep detection following stroke: insights from inpatient monitoring in a rehabilitation hospital.","authors":"Jiayi E Wang, Jacob Sindorf, Pin-Wei Chen, Jessica Wu, Adrian Gonzales, Megan K O'Brien, Aashna Sunderrajan, Kristen L Knutson, Phyllis C Zee, Lisa Wolfe, Vineet M Arora, Arun Jayaraman","doi":"10.1093/sleepadvances/zpae057","DOIUrl":"10.1093/sleepadvances/zpae057","url":null,"abstract":"<p><strong>Study objectives: </strong>Stroke can result in or exacerbate various sleep disorders. The presence of behaviors such as daytime sleepiness poststroke can indicate underlying sleep disorders which can significantly impact functional recovery and thus require prompt detection and monitoring for improved care. Actigraphy, a quantitative measurement technology, has been primarily validated for nighttime sleep in healthy adults; however, its validity for daytime sleep monitoring is currently unknown. Therefore this study aims to identify the best-performing actigraphy sensor and algorithm for detecting daytime sleep in poststroke individuals.</p><p><strong>Methods: </strong>Participants wore Actiwatch Spectrum and ActiGraph wGT3X-BT on their less-affected wrist, while trained observers recorded daytime sleep occurrences and activity levels (active, sedentary, and asleep) during non-therapy times. Algorithms, Actiwatch (Autoscore AMRI) and ActiGraph (Cole-Kripke, Sadeh), were compared with on-site observations and assessed using F2 scores, emphasizing sensitivity to detect daytime sleep.</p><p><strong>Results: </strong>Twenty-seven participants from an inpatient stroke rehabilitation unit contributed 173.5 hours of data. The ActiGraph Cole-Kripke algorithm (minute sleep time = 15 minutes, bedtime = 10 minutes, and wake time = 10 minutes) achieved the highest F2 score (0.59). Notably, when participants were in bed, the ActiGraph Cole-Kripke algorithm continued to outperform Sadeh and Actiwatch AMRI, with an F2 score of 0.69.</p><p><strong>Conclusions: </strong>The study demonstrates both Actiwatch and ActiGraph's ability to detect daytime sleep, particularly during bed rest. ActiGraph (Cole-Kripke) algorithm exhibited a more balanced sleep detection profile and higher F2 scores compared to Actiwatch, offering valuable insights for optimizing daytime sleep monitoring with actigraphy in stroke patients.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae057"},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11331150/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006029","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":"Ferritin is a potential marker of cardiometabolic risk in adolescents and young adults with sleep-disordered breathing.","authors":"Esther T W Cheng, Chun T Au, Raymond N C Chan, Joey W Y Chan, Ngan Y Chan, Yun K Wing, Albert M Li, Ethan Lam, Kate C Chan","doi":"10.1093/sleepadvances/zpae048","DOIUrl":"10.1093/sleepadvances/zpae048","url":null,"abstract":"<p><strong>Objective: </strong>To explore markers that reflect sleep-disordered breathing (SDB) severity and investigate their associations with cardiometabolic risk factors in adolescents and young adults.</p><p><strong>Methods: </strong>Participants were recruited from our SDB epidemiological cohort. They underwent overnight polysomnography and ambulatory blood pressure (BP) monitoring. Complete blood count, ferritin, high-sensitivity C-reactive protein (hs-CRP), fasting blood glucose, and lipid profile were measured. Multiple linear regression was used to examine the association between red cell indices (RCIs), ferritin, and obstructive apnea-hypopnea index (OAHI). Subgroup analyses on participants with SDB were performed for the association of RCIs and ferritin with lipid profile, hs-CRP, and BP.</p><p><strong>Results: </strong>There were 88 participants with SDB and 155 healthy controls aged 16-25 years. Hemoglobin (Hb; <i>p</i> < .001), hematocrit (HCT; <i>p</i> < .001), and ferritin (<i>p</i> < .001) were elevated with increasing SDB severity and were independently associated with OAHI (β=1.06, <i>p</i> < .001; <i>β</i>=40.2, <i>p</i> < .001; <i>β</i>=4.89 × 10^-3, <i>p</i> = .024, respectively). In participants with SDB, after adjusting for age, sex, and BMI, significant associations were found between ferritin with low-density lipoprotein (LDL; <i>β</i>=0.936 × 10^-3, <i>p</i> = .008) and triglyceride (TG; <i>β</i> =1.08 × 10^-3, <i>p</i> < .001), as well as between Hb (<i>β</i>=1.40, <i>p</i> = .007), HCT (<i>β</i>=51.5, <i>p</i> = .010) and mean arterial pressure (MAP). Ferritin (<i>β</i>=0.091, <i>p</i> = .002), Hb (<i>β</i>=0.975, <i>p</i> = .005), and HCT (<i>β</i>=38.8, <i>p</i> = .004) were associated with hs-CRP independent of age, sex, BMI, plasma LDL, and MAP. OAHI was not associated with LDL and TG in the multivariable models.</p><p><strong>Conclusions: </strong>Serum ferritin, but not OAHI, was associated with LDL and TG in participants with SDB, suggesting it is a potential marker of cardiometabolic risk in patients with SDB.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae048"},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11331151/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006030","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":"The nature and magnitude of cognitive impairment in narcolepsy type 1, narcolepsy type 2, and idiopathic hypersomnia: a meta-analysis.","authors":"Brian T Harel, James J Gattuso, Robert D Latzman, Paul Maruff, Thomas E Scammell, Giuseppe Plazzi","doi":"10.1093/sleepadvances/zpae043","DOIUrl":"10.1093/sleepadvances/zpae043","url":null,"abstract":"<p><p>People with narcolepsy type 1 (NT1), narcolepsy type 2 (NT2), and idiopathic hypersomnia (IH) often report cognitive impairment which can be quite burdensome but is rarely evaluated in routine clinical practice. In this systematic review and meta-analysis, we assessed the nature and magnitude of cognitive impairment in NT1, NT2, and IH in studies conducted from January 2000 to October 2022. We classified cognitive tests assessing memory, executive function, and attention by cognitive domain. Between-group differences were analyzed as standardized mean differences (Cohen's <i>d</i>), and Cohen's <i>d</i> for individual tests were integrated according to cognitive domain and clinical disease group. Eighty-seven studies were screened for inclusion; 39 satisfied inclusion criteria, yielding 73 comparisons (<i>k</i>): NT1, <i>k</i> = 60; NT2, <i>k</i> = 8; IH, <i>k</i> = 5. Attention showed large impairment in people with NT1 (<i>d</i> = -0.90) and IH (<i>d</i> = -0.97), and moderate impairment in NT2 (<i>d</i> = -0.60). Executive function was moderately impaired in NT1 (<i>d</i> = -0.30) and NT2 (<i>d</i> = -0.38), and memory showed small impairments in NT1 (<i>d</i> = -0.33). A secondary meta-analysis identified sustained attention as the most impaired domain in NT1, NT2, and IH (<i>d ≈</i> -0.5 to -1). These meta-analyses confirm that cognitive impairments are present in NT1, NT2, and IH, and provide quantitative confirmation of reports of cognitive difficulties made by patients and clinicians. These findings provide a basis for the future design of studies to determine whether cognitive impairments can improve with pharmacologic and nonpharmacologic treatments for narcolepsy and IH.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae043"},"PeriodicalIF":0.0,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11258808/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141735933","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":"Human serum proteomics reveals a molecular signature after one night of sleep deprivation.","authors":"Alvhild Alette Bjørkum, Leandra Griebel, Even Birkeland","doi":"10.1093/sleepadvances/zpae042","DOIUrl":"10.1093/sleepadvances/zpae042","url":null,"abstract":"<p><strong>Study objectives: </strong>Sleep deprivation is highly prevalent and caused by conditions such as night shift work or illnesses like obstructive sleep apnea. Compromised sleep affects cardiovascular-, immune-, and neuronal systems. Recently, we published human serum proteome changes after a simulated night shift. This pilot proteomic study aimed to further explore changes in human blood serum after 6 hours of sleep deprivation at night.</p><p><strong>Methods: </strong>Human blood serum samples from eight self-declared healthy females were analyzed using Orbitrap Eclipse mass spectrometry (MS-MS) and high-pressure liquid chromatography. We used a within-participant design, in which the samples were taken after 6 hours of sleep at night and after 6 hours of sleep deprivation the following night. Systems biological databases and bioinformatic software were used to analyze the data and comparative analysis were done with other published sleep-related proteomic datasets.</p><p><strong>Results: </strong>Out of 494 proteins, 66 were found to be differentially expressed proteins (DEPs) after 6 hours of sleep deprivation. Functional enrichment analysis revealed the associations of these DEPs with several biological functions related to the altered regulation of cellular processes such as platelet degranulation and blood coagulation, as well as associations with different curated gene sets.</p><p><strong>Conclusions: </strong>This study presents serum proteomic changes after 6 hours of sleep deprivation, supports previous findings showing that short sleep deprivation affects several biological processes, and reveals a molecular signature of proteins related to pathological conditions such as altered coagulation and platelet function, impaired lipid and immune function, and cell proliferation. Data are available via ProteomeXchange with identifier PXD045729. This paper is part of the <i>Genetic and other molecular underpinnings of sleep, sleep disorders, and circadian rhythms including translational approaches</i> Collection.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae042"},"PeriodicalIF":0.0,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11310596/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918289","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":"Does sleep link child maltreatment to depressive symptoms among incoming first-year college students?","authors":"Darlynn M Rojo-Wissar, Stephanie H Parade, David H Barker, Eliza Van Reen, Katherine M Sharkey, Caroline Gredvig-Ardito, Mary A Carskadon","doi":"10.1093/sleepadvances/zpae041","DOIUrl":"10.1093/sleepadvances/zpae041","url":null,"abstract":"<p><strong>Study objectives: </strong>We examined whether sleep (i.e. quality, regularity, and duration) mediated associations between child maltreatment (CM) and depressive symptoms among emerging adults undergoing the major life transition of starting college.</p><p><strong>Methods: </strong>Students (<i>N</i> = 1400; 44% male; 48% non-Hispanic white, 20% non-Hispanic Asian, 15% Hispanic all races, 7% non-Hispanic black, and 10% non-Hispanic other races) completed daily sleep diaries for 9 weeks, followed by the Childhood Trauma Questionnaire-Short Form, Pittsburgh Sleep Quality Index, and the Center for Epidemiologic Studies Depression Scale (CES-D). DSD data were used to compute participants' Sleep Regularity Index and average 24-hour total sleep time. We used a nonparametric structural equation modeling bootstrap approach and full information maximum likelihood to account for missing data. In model 1, we controlled for sex and race and ethnicity. In model 2, we further adjusted for baseline CES-D scores.</p><p><strong>Results: </strong>The prevalence of self-reported <i>moderate-to-severe</i> CM was 22%. Small but significant indirect effects of CM on greater depressive symptoms through worse sleep quality (<i>β</i> = 0.06, 95% CI = 0.04, 0.09) and lower sleep regularity (<i>β</i> = 0.02, 95% CI = 0.005, 0.03) were observed in model 1. In model 2, only the indirect effect of sleep quality remained significant (<i>β</i> = 0.03, 95% CI = 0.01, 0.06).</p><p><strong>Conclusions: </strong>Poorer sleep quality may partially account for associations between CM and depressive symptoms during the first semester of college. Including sleep as a target in student health interventions on college campuses may not only help buffer against poor mental health outcomes for students with CM, but also poor academic and socioeconomic outcomes long-term.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae041"},"PeriodicalIF":0.0,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11229310/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141560532","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":"Ecological momentary assessment of sleep, pain, and opioid use among adolescents following surgery.","authors":"Andrew H Rogers, Jennifer A Rabbitts, Michael G Saper, Gregory A Schmale, Tonya M Palermo, Cornelius B Groenewald","doi":"10.1093/sleepadvances/zpae039","DOIUrl":"10.1093/sleepadvances/zpae039","url":null,"abstract":"<p><strong>Background: </strong>Opioids are effective for acute pain management following surgery among adolescents, yet are associated with significant negative consequences, including respiratory depression and opioid misuse. Sleep deficiency is common following surgery and extant research indicates strong cross-sectional associations between sleep deficiency and increased problematic opioid use.</p><p><strong>Objective: </strong>This study examined longitudinal associations between postsurgical sleep deficiency and opioid use among adolescents undergoing outpatient surgery. We also examined daily pain and mood as mechanisms linking previous night's sleep deficiency and next day prescription opioid use.</p><p><strong>Methods: </strong>This prospective, observational study enrolled 106 adolescents (11-19 years) who underwent orthopedic outpatient surgery and collected pre-surgery and longitudinal measurements. Participants were 52% female, African-American (7%), American Indian/Alaska Native (7%), Hispanic (9%), Native Hawaiian or Other Pacific Islander (4%), or white, non-Hispanic (66%). Using ecological momentary assessment methods, participants reported sleep, pain, and mood in real time over the first 14 days following surgery. Postsurgical opioid use was measured using an electronic medication cap monitoring device, eCAP^TM. Associations between variables were measured using multilevel structural equation modeling.</p><p><strong>Results: </strong>Using multi-level mediation models, pain, but not mood-mediated associations between postsurgical sleep deficiency (sleep quality, total sleep time, sleep onset latency, and wake after sleep onset) and opioid use, at both the within-person and between-person levels. Results highlight that greater previous night's sleep deficiency (both generally and greater than a person's mean level) was associated with higher next day pain (both generally and greater than a person's mean level), which, in turn, was associated with higher opioid use. Furthermore, between-person total effect models provide support for sleep deficiency predicting higher opioid use.</p><p><strong>Conclusions: </strong>Our findings should be considered preliminary yet underscore the need for a comprehensive and personalized approach to postsurgical pain management and opioid use, potentially implementing interventions targeting sleep quality and quantity to reduce pain and opioid use.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae039"},"PeriodicalIF":0.0,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11258804/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141735932","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":"Trends in obstructive sleep apnea disease severity over nearly two decades: update on the VA San Diego experience.","authors":"Brandon Nokes, Tania Zamora, Yzabel Velazquez, Shah Golshan, Cesar Cervantes-Gomeros, Will Perrine, Robert Barker, Atul Malhotra, Kathleen F Sarmiento, Carl Stepnowsky","doi":"10.1093/sleepadvances/zpae036","DOIUrl":"10.1093/sleepadvances/zpae036","url":null,"abstract":"<p><strong>Study objectives: </strong>The Sleep Program at the VA San Diego Healthcare System (VASDHS) started a patient database over twenty years ago for its home sleep apnea testing (HSAT) program. An analysis of ten years of diagnostic HSAT data was reported on over 12 500 patients in 2014. Over this time period, severe obstructive sleep apnea (OSA) decreased in frequency. In contrast, mild OSA increased in frequency and was the most frequently reported severity in our analysis. In more recent times, the 2021 continuous positive airway pressure (CPAP) crisis created difficulties in dispersing CPAP therapies to individuals including Veterans with OSA, prompting our group to reexamine the HSAT database.</p><p><strong>Methods: </strong>A retrospective review was performed of the local clinical database of HSAT diagnostic testing of 8,928 sleep studies from 2018 to 2022.</p><p><strong>Results: </strong>The overall mean apnea-hypopnea index (AHI) decreased from 40.4/hour (2004) to 24.3/hour (2022) (<i>p</i> < .001). The two time periods were examined separately. For 2004-2013, it was found that the mean AHI in 2004 was not significantly different from the mean AHI in 2005, 2006, or 2007 but was significantly different from the mean AHI in each year from 2008 (mean AHI = 30.7/h) to 2013 (mean AHI = 26.1/hour). For 2019-2022, the mean AHI did not significantly differ between the 4 years.</p><p><strong>Conclusions: </strong>These findings have implications for OSA therapies. Additionally, the high prevalence of mild sleep apnea, which is typically associated with lesser adherence to PAP therapy, further highlights the importance of non-PAP alternatives to improve treatment effectiveness.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae036"},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11217901/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141494560","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 medicine, sleep research, and sleep education: a whole life devoted to sleep.","authors":"Michel Billiard","doi":"10.1093/sleepadvances/zpae029","DOIUrl":"10.1093/sleepadvances/zpae029","url":null,"abstract":"<p><p>This article describes my participation in sleep medicine, sleep research, and sleep education, mainly in Europe, between the years 1970 and 2000.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae029"},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11151915/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141263568","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":"High prevalence of obstructive sleep apnea in a surgical aortic valve replacement cohort: an observational study.","authors":"Mark A Oldham, Wilfred R Pigeon, Michael Yurcheshen, Kazuhiro Hisamoto, Peter A Knight, Hochang B Lee","doi":"10.1093/sleepadvances/zpae034","DOIUrl":"10.1093/sleepadvances/zpae034","url":null,"abstract":"<p><strong>Study objectives: </strong>A high prevalence of sleep apnea has been reported among transcatheter aortic valve replacement (AVR) patients; however, the prevalence of sleep apnea in the younger and relatively healthier population of surgical AVR (SAVR) patients is unknown.</p><p><strong>Methods: </strong>We assessed the prevalence of sleep apnea and overall sleep quality in patients having SAVR. Participants aged 50-89 were eligible for recruitment. All participants completed type II HST before SAVR. Sleep apnea was defined as an apnea-hypopnea index (AHI) ≥ 5 events/hour. The current use of positive airway pressure was exclusionary.</p><p><strong>Results: </strong>The 46 participants (32 males/14 females) had a mean age of 66.6 years, body mass index of 30, AHI of 23.5, and obstructive AHI of 22.0. Only four participants had a prior sleep apnea diagnosis, yet all but one had sleep apnea on type II sleep testing. Two-thirds of sleep apnea was moderate or severe (AHI ≥ 15). A quarter of respiratory events were defined by arousals without desaturations. Whereas most sleep parameters resembled those of similarly aged community cohorts, mean percentage of N3 was reduced, accounting for only 3.8% of total sleep time.</p><p><strong>Conclusions: </strong>Type II home sleep testing (HST) revealed a 97.8% prevalence of sleep apnea in this sample, most of which was undiagnosed obstructive sleep apnea. Roughly two-thirds of sleep apnea was moderate or severe. Such a high impact of obstructive sleep apnea among patients with severe aortic valve disease deserves further investigation on potential underlying mechanisms and clinical implications.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae034"},"PeriodicalIF":0.0,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11212347/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141473340","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":"The effect of a dynamic lighting schedule on neurobehavioral performance during a 45-day simulated space mission.","authors":"Leilah K Grant, Brianne A Kent, Shadab A Rahman, Melissa A St Hilaire, Crystal L Kirkley, Kevin B Gregory, Toni Clark, John P Hanifin, Laura K Barger, Charles A Czeisler, George C Brainard, Steven W Lockley, Erin E Flynn-Evans","doi":"10.1093/sleepadvances/zpae032","DOIUrl":"10.1093/sleepadvances/zpae032","url":null,"abstract":"<p><strong>Study objectives: </strong>We previously reported that during a 45-day simulated space mission, a dynamic lighting schedule (DLS) improved circadian phase alignment and performance assessed once on selected days. This study aimed to evaluate how DLS affected performance on a 5-minute psychomotor vigilance task (PVT) administered multiple times per day on selected days.</p><p><strong>Methods: </strong>Sixteen crewmembers (37.4 ± 6.7 years; 5F) underwent six cycles of 2 × 8-hour/night followed by 5 × 5-hour/night sleep opportunities. During the DLS (<i>n</i> = 8), daytime white light exposure was blue-enriched (~6000 K; Level 1: 1079, Level 2: 76 melanopic equivalent daytime illuminance (melEDI) lux) and blue-depleted (~3000-4000 K; L1: 21, L2: 2 melEDI lux) 3 hours before bed. In the standard lighting schedule (SLS; <i>n</i> = 8), lighting remained constant (~4500K; L1: 284, L2 62 melEDI lux). Effects of lighting condition (DLS/SLS), sleep condition (5/8 hours), time into mission, and their interactions, and time awake on PVT performance were analyzed using generalized linear mixed models.</p><p><strong>Results: </strong>The DLS was associated with fewer attentional lapses (reaction time [RT] > 500 milliseconds) compared to SLS. Lapses, mean RT, and 10% fastest/slowest RTs were worse following 5 compared to 8 hours of sleep but not between lighting conditions. There was an effect of time into mission on RTs, likely due to sleep loss. Overall performance differed by time of day, with longer RTs at the beginning and end of the day. There were more lapses and slower RTs in the afternoon in the SLS compared to the DLS condition.</p><p><strong>Conclusions: </strong>Future missions should incorporate DLS to enhance circadian alignment and performance. This paper is part of the <i>Sleep and Circadian Rhythms: Management of Fatigue in Occupational Settings</i> Collection.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae032"},"PeriodicalIF":0.0,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11187988/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141433496","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}