Sleep medicine最新文献

{"title":"Association between frailty and subjective and objective sleep indicators in Japanese community-dwelling older adults","authors":"Ken Shinmura ,&nbsp;Koutatsu Nagai ,&nbsp;Kensaku Shojima ,&nbsp;Hiromitsu Yamazaki ,&nbsp;Kayoko Tamaki ,&nbsp;Takara Mori ,&nbsp;Yosuke Wada ,&nbsp;Hiroshi Kusunoki ,&nbsp;Masaaki Onishi ,&nbsp;Shotaro Tsuji ,&nbsp;Ryota Matsuzawa ,&nbsp;Kyoko Sano ,&nbsp;Kana Hashimoto ,&nbsp;Masashi Goto ,&nbsp;Yasuyuki Nagasawa","doi":"10.1016/j.sleep.2024.11.036","DOIUrl":"10.1016/j.sleep.2024.11.036","url":null,"abstract":"<div><div>Studies have linked frailty to sleep duration and/or quality using questionnaire-based subjective sleep assessments. This study clarified the relationship between frailty status and subjective and objective sleep indicators among community-dwelling older adults in a rural Japanese area. This cross-sectional cohort study analyzed the data of older adult participants in the FESTA Study, assessing subjective and objective sleep indicators using the Pittsburgh Sleep Quality Index (PSQI) and an actigraph, respectively. Frailty status was determined using the Japanese version of the Cardiovascular Health Study (J-CHS) and the Kihon Checklist (KCL). Its relationship was examined through multivariate logistic regression analysis. The data of 537 older adults (median age = 76 years; 177 men and 360 women) were analyzed. Aside from age, depression, and dietary variety score, the PSQI score and the number of awakening episodes after sleep onset were significantly associated with non-robustness when the J-CHS was utilized (OR 1.086 95%CI 1.017–1.159 P = .014 and OR .964 95%CI .934-.994 P = .019, respectively). When the KCL was utilized, non-robustness was significantly associated with the PSQI score (OR 1.100 95%CI 1.028–1.178 P = .006), along with age, gender, number of comorbidities, and depression. Among the seven items of the PSQI, non-robustness was significantly related to daytime dysfunction due to sleepiness. The associations between non-robustness and objective sleep indicators varied by the frailty assessment method, while non-robustness was significantly associated with subjective sleep quality, regardless of the diagnostic tool used for frailty status and age. Therefore, subjective sleep quality may be more reliable for preventing and/or managing frailty in older adults.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"125 ","pages":"Pages 185-191"},"PeriodicalIF":3.8,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758969","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":"A scoping review of sleep discrepancy methodology: What are we measuring and what does it mean?","authors":"Tom F Walton, Melissa J Ree, Simone N Fueggle, Romola S Bucks","doi":"10.1016/j.sleep.2024.11.016","DOIUrl":"https://doi.org/10.1016/j.sleep.2024.11.016","url":null,"abstract":"<p><strong>Study objectives: </strong>To examine how past studies have conceptualised sleep discrepancy and identify and evaluate the methods used for its measurement and analysis.</p><p><strong>Method: </strong>We searched MEDLINE, Embase, PsycINFO, CINAHL Plus, PubMed, Scopus, and Web of Science in April 2022 for studies comparing self-report and objective measures of sleep. Methodological information was extracted from relevant studies and included measures of self-report and objective sleep, sleep variables (e.g., total sleep time), derived discrepancy indices (e.g., difference scores), handling of repeated measurements, and methods of measure comparison (e.g., Bland-Altman analyses).</p><p><strong>Results: </strong>Two hundred and forty-four relevant records were identified. Studies varied according to objective sleep measure; actigraphy algorithm, software, and rest interval; polysomnography setting and scoring criteria; sleep variables; self-report sleep measure; number of nights of objective recording; time frame of self-report measure; self-report sleep variable definition; sleep discrepancy derived index; presence and handling of repeated measurements; and statistical method for measure comparison.</p><p><strong>Conclusions: </strong>Sleep discrepancy was predominantly conceived as discordance in sleep states or sleep time variables, and various forms of this discordance differed in their conceptual distance to sleep misperception. Furthermore, studies varied considerably in methodology with critical conceptual and practical implications that have received little attention to date. Substantive methodological issues were also identified relating to the use of derived indices for operationalising sleep discrepancy, defining objective sleep onset latency, calculating actigraphy rest intervals, measuring correlation and concordance, averaging sleep variables across nights, and defining sleep quality discrepancy. Solutions and recommendations for these issues are discussed.</p>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"126 ","pages":"32-66"},"PeriodicalIF":3.8,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142772312","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":"Beyond sleep disturbance: Structured analysis of sleep habits, chronotype and sleep disorders in adults with glioma. A cross-sectional exploratory study","authors":"Thomas Mitterling ,&nbsp;Vivien Riffert ,&nbsp;Sophie Heimel ,&nbsp;Annette Leibetseder ,&nbsp;Andreas Kaindlstorfer ,&nbsp;Anna Heidbreder ,&nbsp;Josef Pichler ,&nbsp;Tim J. von Oertzen","doi":"10.1016/j.sleep.2024.11.033","DOIUrl":"10.1016/j.sleep.2024.11.033","url":null,"abstract":"<div><h3>Objective</h3><div>To evaluate the prevalence of the whole spectrum of sleep disorders as well as sleep related motor phenomena and chronotype in adults with glioma and to analyze their link with tumor localization and grade.</div></div><div><h3>Methods</h3><div>This prospective cross-sectional exploratory study included 79 patients with glioma irrespective of localization and type. Sleep habits, sleep disorders of any kind and chronotype were evaluated in structured interviews using validated disease specific scales.</div></div><div><h3>Results</h3><div>For the whole sample the PSQI score was not increased, and specific insomnia severity was low. Patients with frontal tumors had worse sleep quality according to the PSQI and were more often allocated to worse ISI categories. The prevalence of EDS was markedly increased (ESS &gt;10 in 17.7 % of patients), and 43 % scored ≥3 on STOPBANG. The predominant chronotype was a moderate morning type (54.4 %). Seven patients fulfilled RLS criteria and 9 fulfilled criteria for probable RBD, a self-report of hypnic jerks and nightmares were most common (45.6 % and 31.6 % respectively). According to regression analyses tumor relapse, depressive symptoms and fatigue determined poor sleep quality (Nagelkerke's R²: 0.511 p &lt; 0.001), while performance-status, fatigue and anti-seizure medication contributed to excessive daytime sleepiness (Nagelkerke's R²: 0.600, p &lt; 0.001), and age, BMI, and tumor localization contributed to the risk of sleep apnea (Nagelkerke's R²: 0.556, p &lt; 0.001).</div></div><div><h3>Conclusions</h3><div>This study shows the broad range of sleep symptoms in glioma patients, and a complex association with tumor grade and localization. This underlines the need for a comprehensive evaluation of sleep related symptoms in glioma patients.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"125 ","pages":"Pages 146-154"},"PeriodicalIF":3.8,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142744176","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":"Epidemiology of narcolepsy and idiopathic hypersomnia in Japan: A retrospective analysis of health insurance claims from the Japan Medical Data Center","authors":"Hiroshi Kadotani ,&nbsp;Masahiro Matsuo ,&nbsp;Lucy Tran ,&nbsp;Victoria L. Parsons ,&nbsp;Andrew Maguire ,&nbsp;Stephen Crawford ,&nbsp;Somraj Ghosh ,&nbsp;Shreya Dave","doi":"10.1016/j.sleep.2024.11.034","DOIUrl":"10.1016/j.sleep.2024.11.034","url":null,"abstract":"<div><h3>Background</h3><div>Estimation of prevalence and incidence of narcolepsy and idiopathic hypersomnia (IH) is challenging owing to symptomatic overlap, underdiagnosis, and misdiagnosis, and epidemiological data are lacking in Asian populations. We estimated the prevalence and incidence of narcolepsy and IH in Japan.</div></div><div><h3>Methods</h3><div>The Japan Medical Data Center (JMDC) database includes healthcare claims data for employed individuals ≤74 years of age. Narcolepsy and IH cases were defined by ≥2 diagnosis codes within 12 months, or a multiple sleep latency test with ≥1 diagnosis code within 12 months. Estimated point-prevalences of diagnosed narcolepsy and IH were calculated for December 31, 2019. Incidences of narcolepsy and IH were estimated for the period January 1, 2014 to December 31, 2019.</div></div><div><h3>Results</h3><div>Of 7,075,869 individuals enrolled in the database on December 31, 2019, 6,110,751 (86.4 %) had ≥12 months’ continuous enrollment and were eligible for inclusion in the prevalence population. Age-sex standardized overall prevalences of narcolepsy and IH were 37.5 (95 % confidence intervals 35.9–39.1) and 7.7 (7.0–8.4) per 100,000 persons, respectively. Prevalence for both conditions peaked at age 20–29 years and declined with increasing age. Age-sex standardized overall incidences of narcolepsy and IH were 5.1 (4.8–5.4) and 1.2 (1.0–1.5) per 100,000 person-years, respectively. Narcolepsy and IH incidences peaked in the 10–19 and 20–29 years age groups then declined with increasing age.</div></div><div><h3>Conclusions</h3><div>This claims-based study provides updated estimates for the prevalence and incidence of narcolepsy in Japan, and the first estimates for prevalence and incidence of IH in Japan.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"126 ","pages":"Pages 25-31"},"PeriodicalIF":3.8,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745776","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 impact of sleep deprivation on the functional connectivity of visual-related brain regions","authors":"Xiechuan Weng ,&nbsp;Kai Wen ,&nbsp;Jin Guo ,&nbsp;Peng Zhang ,&nbsp;Yixin Zhang ,&nbsp;Qiongfang Cao ,&nbsp;Qin Han ,&nbsp;Fan Xu","doi":"10.1016/j.sleep.2024.11.026","DOIUrl":"10.1016/j.sleep.2024.11.026","url":null,"abstract":"<div><h3>Background</h3><div>Sleep deprivation(SD) is known to impair cognitive function and emotional regulation, however, its specific effects on the functional connectivity of visual-related brain regions remain unclear.</div></div><div><h3>Objectives</h3><div>This study aimed to investigate the impact of 36-h acute sleep deprivation on functional connectivity in visual neural circuits and its relationship with cognitive and emotional changes.</div></div><div><h3>Methods</h3><div>Sixty healthy male participants were assessed before and after 36 h of sleep deprivation using resting-state fMRI, the Psychomotor Vigilance Task (PVT), the Epworth Sleepiness Scale (ESS), and the Profile of Mood States (POMS). Functional connectivity changes were analyzed using paired t-tests and False Discovery Rate (FDR) correction.</div></div><div><h3>Key results</h3><div>Sleep deprivation significantly altered functional connectivity between the prefrontal cortex, hippocampus, and visual processing regions. These changes correlated with slower PVT reaction times, increased subjective sleepiness (ESS), and emotional disturbances (POMS), including heightened tension and reduced self-esteem.</div></div><div><h3>Conclusions</h3><div>The findings suggest that acute sleep deprivation impairs cognitive performance and emotional regulation by changing functional connectivity in key brain regions. These results may strengthen our understanding of neurobiology of SD and its potential negative effects.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"125 ","pages":"Pages 155-167"},"PeriodicalIF":3.8,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142744178","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":"Trauma-related nightmares among U.S. veterans: Findings from a nationally representative study.","authors":"Courtney B Worley, Sarah Meshberg-Cohen, Ian C Fischer, Robert H Pietrzak","doi":"10.1016/j.sleep.2024.11.031","DOIUrl":"https://doi.org/10.1016/j.sleep.2024.11.031","url":null,"abstract":"<p><strong>Study objectives: </strong>Trauma-exposed veterans may be at an increased risk for nightmares. To date, however, no known study has examined the prevalence, risk factors, and comorbidities of nightmares in a nationally representative sample of veterans.</p><p><strong>Methods: </strong>A nationally representative sample of 4069 US military veterans completed a survey that assessed trauma-related nightmares, health histories, and functioning. Multivariable analyses examined the association between trauma-related nightmares, and sociodemographic, military, and trauma characteristics, and psychiatric and functioning measures.</p><p><strong>Results: </strong>Lifetime trauma-related nightmares were endorsed by 15.0 % of the sample, with 6.4 % endorsing nightmares in the past month. Sociodemographic factors, exposure to adverse childhood events, number of deployments, and index trauma type were all associated with trauma-related nightmares. In addition, nightmares were associated with elevated odds of psychiatric conditions, worse health and psychosocial functioning, and suicidal ideation and future suicidal intent. A \"dose-response\" association was observed between nightmare severity and suicidal ideation, even after controlling for sociodemographic characteristics, trauma exposure, and psychiatric and medical conditions.</p><p><strong>Conclusions: </strong>Nearly 1-in-6 veterans experience trauma-related nightmares in their lifetime, which is associated with adverse mental health, functional difficulties, and increased suicide risk. Results underscore the importance of transdiagnostic assessment, monitoring, and treatment of trauma-related nightmares in this population.</p>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"126 ","pages":"159-166"},"PeriodicalIF":3.8,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142822702","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":"Prevalence and association analysis of obstructive sleep apnea in India: Results from BLESS cohort","authors":"Abhishek Goyal ,&nbsp;Abhijit Pakhare ,&nbsp;Sai Tej Pavirala ,&nbsp;Anuja Lahiri ,&nbsp;Neelesh Shrivastava ,&nbsp;Arwa Bohra ,&nbsp;Ankur Joshi ,&nbsp;Raphael Heinzer","doi":"10.1016/j.sleep.2024.11.029","DOIUrl":"10.1016/j.sleep.2024.11.029","url":null,"abstract":"<div><h3>Background</h3><div>Despite having the largest population in the world with 1.4 billion inhabitants, there is only scarce data on the prevalence of OSA from India.</div></div><div><h3>Research question</h3><div>This study aimed to find the prevalence of Obstructive Sleep Apnea (OSA) using Polysomnography (PSG) and current scoring rules (AASM 2012) in population and investigate OSA associations for cardiovascular and metabolic comorbidities.</div></div><div><h3>Study design</h3><div>and Methods: Participants were randomly selected among the accompanying attendants of patients admitted to a hospital in Bhopal, India and underwent level I PSG. Anthropometric measurements, blood investigations were taken. The primary outcome was prevalence of OSA, assessed by the Apnoea-Hypopnoea Index (AHI).</div></div><div><h3>Results</h3><div>Level I PSG was performed on 1015 adult participants from December 2019 to February 2023; after excluding 57 participants with sleep time &lt;240 min, 958 participants (age range 18–80 years) were finally included in this study. Median (IQR) age was 40.0 years (31.0, 49.0) while median (IQR) BMI was 23.5 (20.7, 26.8) Kg/m². Prevalence (95 % CI) of moderate-to-severe OSA (AHI ≥15) and severe OSA (AHI≥30) was 30.5 % (28–34 %) and 10.1 % (8.3–12), respectively. The upper quartile of the AHI (Q4 ≥17) was independently associated with the presence of Diabetes Mellitus [OR 2.14 (95 % CI 1.07–4.44)], Hypertension [OR1.98 (95 % CI 1.20–3.28)] and Metabolic Syndrome [OR 2.36 (95 % CI 1.37–4.09)] compared to the first quartile AHI.</div></div><div><h3>Interpretation</h3><div>OSA prevalence was found to be significantly higher than previously estimated in Indian population. Association of OSA with diabetes, hypertension, and metabolic syndrome was observed.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"125 ","pages":"Pages 128-135"},"PeriodicalIF":3.8,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142720984","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":"General Practice Sleep Scale – The “GPSS” – A proposed new tool for use in General Practice for risk assessment of Obstructive Sleep Apnoea","authors":"Timothy Howarth ,&nbsp;Joe Hedger ,&nbsp;Winnie Chen ,&nbsp;Himanshu Garg ,&nbsp;Subash S. Heraganahally","doi":"10.1016/j.sleep.2024.11.022","DOIUrl":"10.1016/j.sleep.2024.11.022","url":null,"abstract":"<div><h3>Background</h3><div>This pilot study investigated a new simplified OSA screening tool that could be used in primary care/GP settings – the “GPSS” tool – “General Practice Sleep Scale” and compared against common existing OSA screening tools.</div></div><div><h3>Methods</h3><div>A convenience sample of patients attending the respiratory and sleep clinic in the Northern Territory of Australia were included if they completed the GPSS prior to undergoing a diagnostic polysomnography. The GPSS contained 9 questions to provide information on: sex, age, body mass index, neck circumference, snoring, witnessed apnoeas, morning tiredness, daytime sleepiness and presence of hypertension/diabetes/heart disease/depression. Presence of OSA was defined as an apnoea-hypopnoea index of ≥15/hour. The GPSS scoring was developed via log odds of regression predictions for each GPSS question upon OSA.</div></div><div><h3>Results</h3><div>159 patients (65 % male, median age 45 years) were enrolled. A minimum score of 1 was assigned to GPSS questions, up to 5 for the strongest predictor (neck circumference). The median total GPSS score was 13 (IQR 9, 16) (maximum 22) and correlated strongly with OSA (AUC 0.812 (95 % CI 0.744, 0.881)). Categorised into low (0–7), moderate (8–13) or high risk (&gt;13), a moderate or severe score had sensitivity 100, specificity 34.9 %. The GPSS significantly outperformed the Epworth Sleepiness Scale, Berlin questionnaire and OSA-50, and was comparable but slightly improved against the STOP-Bang.</div></div><div><h3>Conclusions</h3><div>The proposed GPSS tool could be of use in general practice settings. Further prospective research is warranted to test the applicability and adaptability of the GPSS tool in wider population settings.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"125 ","pages":"Pages 168-176"},"PeriodicalIF":3.8,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142744179","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":"Sleep related injury and its correlates in isolated rapid eye movement sleep behavior disorder","authors":"Yuhua Yang ,&nbsp;Jing Wang ,&nbsp;Li Zhou ,&nbsp;Yaping Liu ,&nbsp;Shi Tang ,&nbsp;Siyi Gong ,&nbsp;Ningning Li ,&nbsp;Zhixuan He ,&nbsp;Jianzhang Ni ,&nbsp;Joey W.Y. Chan ,&nbsp;Steven W.H. Chau ,&nbsp;Yun Kwok Wing ,&nbsp;Bei Huang","doi":"10.1016/j.sleep.2024.11.032","DOIUrl":"10.1016/j.sleep.2024.11.032","url":null,"abstract":"<div><h3>Objectives</h3><div>To evaluate factors associated with sleep related injury (SRI) and persistent SRI (pSRI) in patients with isolated rapid eye movement sleep behavior disorder (iRBD).</div></div><div><h3>Methods</h3><div>This is a retrospective cohort study. A total of 388 patients with iRBD were involved for a comprehensive review of sleep related injuries. SRI is defined as a lifetime history of injurious behaviors to self and/or bed partner, and pSRI is considered if injurious symptoms continued to occur frequently (≥1/month). Correlations of SRI/pSRI with clinical, lifestyle and polysomnographic characteristics were analyzed.</div></div><div><h3>Results</h3><div>Lifetime SRI was reported in 322 (83 %) patients (66.3 ± 8.5 years old, male 77.0 %), with 19.3 % having severe injuries, including fractures (2.5 %) and subdural hemorrhage (1.2 %), while 7.5 % required medical attendance. SRI was related to more severe depressive features (P_adj = 0.017), current alcohol drinking (P_adj = 0.014) and higher mentalis phasic and tonic EMG activity (P_adj = 0.042 and 0.048). After a mean follow-up of 5.1 years, 18.2 % of SRI patients (38/209) had pSRI despite intense treatment. Frequent nightmare at baseline (OR [95 % CI] = 1.43 [1.01, 2.03]), restless leg syndrome (OR [95 % CI] = 5.68 [1.42, 22.64]) and adult-onset sleepwalking (OR [95 % CI] = 2.52 [1.10, 5.76]) were associated with an increased risk of pSRI.</div></div><div><h3>Conclusions</h3><div>SRI is common in patients with iRBD and 18 % had pSRI despite intensive treatment, emphasizing the importance of bedside safety. The identification of risk factors for SRI and pSRI underscores the need for systematic clinical screening and targeted interventions for at-risk patients.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"126 ","pages":"Pages 9-18"},"PeriodicalIF":3.8,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745874","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":"The impact of insomnia on prefrontal activation during a verbal fluency task in patients with major depressive disorder: A preliminary fNIRS study","authors":"Shuai Yang ,&nbsp;Xiaoyi Kong ,&nbsp;Xiangxia Zhang ,&nbsp;Yueming Zhang ,&nbsp;Xueyan Li ,&nbsp;Yi-Jun Ge","doi":"10.1016/j.sleep.2024.11.030","DOIUrl":"10.1016/j.sleep.2024.11.030","url":null,"abstract":"<div><h3>Background</h3><div>Insomnia often co-occurs with major depressive disorder (MDD) and significantly affects patient recovery and prognosis. However, how insomnia affects prefrontal cortex activation in MDD patients and its association with both subjective and objective sleep quality remains unclear. This study combined functional near-infrared spectroscopy (fNIRS) with polysomnography (PSG) to investigate differences in prefrontal activation during a verbal fluency task (VFT) in patients with MDD, with and without insomnia.</div></div><div><h3>Methods</h3><div>Seventy-eight patients with MDD and 42 healthy controls underwent polysomnography and sleep and mood assessments including the Pittsburgh Sleep Quality Index (PSQI) and Self-Rating Depression Scale (SDS). Prefrontal activation was measured using fNIRS during the VFT.</div></div><div><h3>Results</h3><div>Patients with MDD and insomnia had higher PSQI scores than patients with MDD without insomnia. fNIRS revealed increased left prefrontal cortex activation in these patients, which was negatively correlated with the total sleep time and sleep efficiency and positively correlated with the PSQI score.</div></div><div><h3>Conclusion</h3><div>This study combined fNIRS and PSG to demonstrate that MDD patients with insomnia showed increased levels of prefrontal cortex activation, associated with both subjective and objective sleep quality.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"125 ","pages":"Pages 114-119"},"PeriodicalIF":3.8,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142695345","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}