Sleep Medicine Reviews最新文献

Effects of sleep hygiene education for insomnia: A systematic review and meta-analysis 睡眠卫生教育对失眠的影响：一项系统回顾和荟萃分析

IF 11.2 1区医学

Sleep Medicine Reviews Pub Date : 2025-05-24 DOI: 10.1016/j.smrv.2025.102109

Jia Yin Ruan , Qi Liu , Ka Fai Chung , Ka Yan Ho , Wing Fai Yeung

{"title":"Effects of sleep hygiene education for insomnia: A systematic review and meta-analysis","authors":"Jia Yin Ruan , Qi Liu , Ka Fai Chung , Ka Yan Ho , Wing Fai Yeung","doi":"10.1016/j.smrv.2025.102109","DOIUrl":"10.1016/j.smrv.2025.102109","url":null,"abstract":"<div><div>Sleep hygiene education (SHE) as a single therapy for insomnia still lacks sufficient evidence. This study aimed to quantify the effects of SHE on insomnia treatment. A literature search was conducted on seven databases from inception up to 30 September 2024 to retrieve randomized controlled trials. Meta-analyses were performed to estimate the mean difference (MD) of Insomnia Severity Index (ISI) (primary outcome) using a random-effects model. Risk of Bias 2 tool was applied to measure methodological quality. Forty-two RCTs encompassing 4245 adults (65.5 % female) were included. The pooled results showed significant pretreatment-to-posttreatment improvement in ISI score (MD = 3.4, 95 % confidence interval (CI) [2.08, 4.64]). However, SHE was inferior as a cognitive behavioral therapy for insomnia (CBT-I) (MD = 3.8, 95 % CI [2.92, 4.76]), partial CBT-I (MD = 4.5, 95 % CI [3.33, 5.60]), exercises (MD = 2.9, 95 % CI [0.81, 5.04]), and acupressure (MD = 1.9, 95 % CI [0.82, 3.00]) regarding the ISI score. The majority of included trials (85.71 %) had a high overall risk of bias, and the remaining had “some concerns.” Future work is encouraged to generate robust evidence through the development of well-designed SHE as an examined intervention for insomnia that involves process evaluation and treatment fidelity.</div></div>","PeriodicalId":49513,"journal":{"name":"Sleep Medicine Reviews","volume":"82 ","pages":"Article 102109"},"PeriodicalIF":11.2,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Diagnostic accuracy of machine learning algorithms in electrocardiogram-based sleep apnea detection: A systematic review and meta-analysis 机器学习算法在基于心电图的睡眠呼吸暂停检测中的诊断准确性：系统回顾和荟萃分析

IF 11.2 1区医学

Sleep Medicine Reviews Pub Date : 2025-05-07 DOI: 10.1016/j.smrv.2025.102097

Mustafa Eray Kilic , Mehmet Emin Arayici , Oguzhan Ekrem Turan , Yigit Resit Yilancioglu , Emin Evren Ozcan , Mehmet Birhan Yilmaz

{"title":"Diagnostic accuracy of machine learning algorithms in electrocardiogram-based sleep apnea detection: A systematic review and meta-analysis","authors":"Mustafa Eray Kilic , Mehmet Emin Arayici , Oguzhan Ekrem Turan , Yigit Resit Yilancioglu , Emin Evren Ozcan , Mehmet Birhan Yilmaz","doi":"10.1016/j.smrv.2025.102097","DOIUrl":"10.1016/j.smrv.2025.102097","url":null,"abstract":"<div><div>Sleep apnea is a prevalent disorder affecting 10 % of middle-aged individuals, yet it remains underdiagnosed due to the limitations of polysomnography (PSG), the current diagnostic gold standard. Single-lead electrocardiography (ECG) has been proposed as a potential alternative diagnostic tool, but interpretation challenges remain. Recent advances in machine learning and deep learning technologies offer promising approaches for enhancing the detection of sleep apnea through automated analysis of ECG signals. This meta-analysis aims to evaluate the diagnostic accuracy of machine learning (ML) and deep learning (DL) algorithms in detecting sleep apnea patterns from single-lead ECG data. A comprehensive literature search across multiple databases was conducted through November 2023, adhering to PRISMA-DTA guidelines. Studies that included sensitivity and specificity data for ECG-based sleep apnea detection using (machine learning/deep learning) ML/DL were selected. The analysis included 84 studies, demonstrating high diagnostic accuracy for ML/DL algorithms, with pooled sensitivity and specificity of over 90 % in per-segment analysis and close to 97 % in per-record analysis. Despite strong diagnostic performance, variations in algorithm effectiveness and methodological biases were noted. This meta-analysis highlights the potential of ML and DL in improving sleep apnea diagnosis and outlines areas for future research to address current limitations.</div></div>","PeriodicalId":49513,"journal":{"name":"Sleep Medicine Reviews","volume":"81 ","pages":"Article 102097"},"PeriodicalIF":11.2,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Connecting mechanistic evidence for depression, anxiety, and insomnia with neuroimaging 将抑郁、焦虑和失眠的机制证据与神经影像学联系起来

IF 11.2 1区医学

Sleep Medicine Reviews Pub Date : 2025-05-05 DOI: 10.1016/j.smrv.2025.102099

Daniel Felsky , Mohamed Abdelhack

引用次数: 0

Tell me who you sleep with, and I will tell you how good your sleep is 告诉我你和谁睡，我就能告诉你你睡得有多好

IF 11.2 1区医学

Sleep Medicine Reviews Pub Date : 2025-05-05 DOI: 10.1016/j.smrv.2025.102098

Deborah Suchecki (Prof)

引用次数: 0

Neural correlates of insomnia with depression and anxiety from a neuroimaging perspective: A systematic review 从神经影像学角度看失眠与抑郁和焦虑的神经相关性：一项系统综述

IF 11.2 1区医学

Sleep Medicine Reviews Pub Date : 2025-05-02 DOI: 10.1016/j.smrv.2025.102093

Chen Peng , Kai Wang , Jinyu Wang , Rick Wassing , Simon B. Eickhoff , Masoud Tahmasian , Ji Chen

{"title":"Neural correlates of insomnia with depression and anxiety from a neuroimaging perspective: A systematic review","authors":"Chen Peng , Kai Wang , Jinyu Wang , Rick Wassing , Simon B. Eickhoff , Masoud Tahmasian , Ji Chen","doi":"10.1016/j.smrv.2025.102093","DOIUrl":"10.1016/j.smrv.2025.102093","url":null,"abstract":"<div><div>Insomnia affects a substantial proportion of the population and frequently co-occurs with mental illnesses including depression and anxiety. However, the neurobiological correlates of these disorders remain unclear. Here we review magnetic resonance imaging (MRI) studies assessing structural and functional brain associations with depressive and anxiety symptoms in insomnia disorder (ID; n = 38), insomnia symptoms in depressive and anxiety disorders (n = 14), and these symptoms in the general populations (n = 3). The studies on insomnia disorder consistently showed overlapping (salience network: insula and anterior cingulate cortex) and differential MRI correlation patterns between depressive (thalamus, orbitofrontal cortex and its associated functional connectivity) and anxiety (functional connectivity associated with default mode network) symptoms. The insula was also consistently identified as indicating the severity of insomnia symptoms in depressive disorder. In contrast, findings for other regions related to insomnia symptoms in both depressive and anxiety disorders were generally inconsistent across studies, partly due to variations in methods and patient cohorts. In the general population, brain regions in the default mode network provided a functional link between insomnia and depressive symptoms. These findings underscore both the shared and distinct neural correlates among depression, anxiety, and insomnia, providing potential avenues for the clinical management of these conditions.</div></div>","PeriodicalId":49513,"journal":{"name":"Sleep Medicine Reviews","volume":"81 ","pages":"Article 102093"},"PeriodicalIF":11.2,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neurobiological mechanisms of sleep state misperception in insomnia disorder: A theoretical review 失眠障碍中睡眠状态误解的神经生物学机制：理论综述

IF 11.2 1区医学

Sleep Medicine Reviews Pub Date : 2025-04-27 DOI: 10.1016/j.smrv.2025.102096

Eric H. Joo , Heather R. Altier , Caroline Selai , Matthew K. Gratton , Anna Kim-Dahl , Heavon Allen , Xinrong Cheng , Matthew J. Reid

{"title":"Neurobiological mechanisms of sleep state misperception in insomnia disorder: A theoretical review","authors":"Eric H. Joo , Heather R. Altier , Caroline Selai , Matthew K. Gratton , Anna Kim-Dahl , Heavon Allen , Xinrong Cheng , Matthew J. Reid","doi":"10.1016/j.smrv.2025.102096","DOIUrl":"10.1016/j.smrv.2025.102096","url":null,"abstract":"<div><div>Sleep state misperception is core to pathophysiological models of insomnia, suggesting that it arises from a dysfunction in neurobiological mechanisms which result in sleep being misperceived as wake. The current review aims to synthesise the best available literature on the neurobiological mechanisms of sleep state misperception and the extent to which the existing literature supports this theory. Overall, findings suggest that cognitive and neurophysiological hyperarousal and dysfunctional sensory-gating mechanisms that insufficiently inhibit arousal may largely account for the phenomenon of sleep state misperception observed among patients with paradoxical insomnia. Most studies to date, however, have relied on comparing self-reports of sleep duration with polysomnography-derived sleep duration, limiting our ability to differentiate the effects of perception from retrospective-reporting bias. Therefore, more studies which use contemporaneous assessments of sleep-wake perception are required to directly test the hypothesis that subjective-objective discrepancies arise from altered perception of sleep states. We report here a research agenda to promote the further development of research in the field and propose several key empirical questions which remain to be explored.</div></div>","PeriodicalId":49513,"journal":{"name":"Sleep Medicine Reviews","volume":"81 ","pages":"Article 102096"},"PeriodicalIF":11.2,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Methodological limitations of linear parametric analysis in biological research: A critical review of NEO-Five personality traits and sleep characteristics study 生物学研究中线性参数分析的方法学局限性：neo - 5人格特征与睡眠特征研究综述

IF 11.2 1区医学

Sleep Medicine Reviews Pub Date : 2025-04-26 DOI: 10.1016/j.smrv.2025.102094

Yoshiyasu Takefuji

引用次数: 0

Reply to Takefuji “Methodological limitations of linear parametric analysis in biological research: A critical review of NEO-Five personality traits and sleep characteristics study” 回复Takefuji（生物学研究中线性参数分析的方法学局限性：neo -五种人格特征和睡眠特征研究的批判性回顾）

IF 11.2 1区医学

Sleep Medicine Reviews Pub Date : 2025-04-23 DOI: 10.1016/j.smrv.2025.102095

Ran Wang , Zexuan Mu , Xiao Li , Forrest Tin Wai Cheung , Ngan Yin Chan , Joey Wing Yan Chan , Yun Kwok Wing , Shirley Xin Li

引用次数: 0

Obstructive sleep apnea and memory impairments: Clinical characterization, treatment strategies, and mechanisms 阻塞性睡眠呼吸暂停和记忆障碍：临床特征、治疗策略和机制

IF 11.2 1区医学

Sleep Medicine Reviews Pub Date : 2025-04-14 DOI: 10.1016/j.smrv.2025.102092

Xiaoman Zhang , Huajun Xu , Shankai Yin , David Gozal , Abdelnaby Khalyfa

{"title":"Obstructive sleep apnea and memory impairments: Clinical characterization, treatment strategies, and mechanisms","authors":"Xiaoman Zhang , Huajun Xu , Shankai Yin , David Gozal , Abdelnaby Khalyfa","doi":"10.1016/j.smrv.2025.102092","DOIUrl":"10.1016/j.smrv.2025.102092","url":null,"abstract":"<div><div>Obstructive sleep apnea (OSA), is associated with dysfunction in the cardiovascular, metabolic and neurological systems. However, the relationship between OSA and memory impairment, intervention effects, and underlying pathways are not well understood. This review summarizes recent advances in the clinical characterization, treatment strategies, and mechanisms of OSA-induced memory impairments. OSA patients may exhibit significant memory declines, including impairments in working memory from visual and verbal sources. The underlying mechanisms behind OSA-related memory impairment are complex and multifactorial with poorly understood aspects that require further investigation. Neuroinflammation, oxidative stress, neuronal damage, synaptic plasticity, and blood-brain barrier dysfunction, as observed under exposures to intermittent hypoxia and sleep fragmentation are likely contributors to learning and memory dysfunction. Continuous positive airway pressure treatment can provide remarkable relief from memory impairment in OSA patients. Other treatments are emerging but need to be rigorously evaluated for cognitive improvement. Clinically, reliable and objective diagnostic tools are necessary for accurate diagnosis and clinical characterization of cognitive impairments in OSA patients. The complex links between gut-brain axis, epigenetic landscape, genetic susceptibility, and OSA-induced memory impairments suggest new directions for research. Characterization of clinical phenotypic clusters can facilitate advances in precision medicine to predict and treat OSA-related memory deficits.</div></div>","PeriodicalId":49513,"journal":{"name":"Sleep Medicine Reviews","volume":"81 ","pages":"Article 102092"},"PeriodicalIF":11.2,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Global occurrence rates of sleep disturbances among institutionalized older adults: A systematic review and meta-analysis 住院老年人睡眠障碍的全球发生率：一项系统回顾和荟萃分析

IF 11.2 1区医学

Sleep Medicine Reviews Pub Date : 2025-04-11 DOI: 10.1016/j.smrv.2025.102091

Santa Maria Pangaribuan , Tzu-Ying Wu , Risa Herlianita , Ying-Ling Jao , Hsin-Chien Lee , Faizul Hasan , Muhammad Amirul Mukminin , Hsiao-Yean Chiu

{"title":"Global occurrence rates of sleep disturbances among institutionalized older adults: A systematic review and meta-analysis","authors":"Santa Maria Pangaribuan , Tzu-Ying Wu , Risa Herlianita , Ying-Ling Jao , Hsin-Chien Lee , Faizul Hasan , Muhammad Amirul Mukminin , Hsiao-Yean Chiu","doi":"10.1016/j.smrv.2025.102091","DOIUrl":"10.1016/j.smrv.2025.102091","url":null,"abstract":"<div><div>Sleep disturbances are a common issue among institutionalized older adults, yet their exact occurrence rates have not been comprehensively investigated. This meta-analysis aimed to determine the occurrence rates of sleep disturbances in this population. We systematically searched the PubMed, EMBASE, and CINAHL from their inception until 30 June 2024. A total of 9308 institutionalized older adults from 52 observational studies were included, each reporting the occurrence rates of sleep disturbances. The pooled occurrence rates of obstructive sleep apnea, poor sleep quality, insomnia, excessive daytime sleepiness, and circadian rhythm disruption among institutionalized older adults were 67 %, 65 %, 43 %, 30 %, and 30 %, respectively. Age, duration of institutional stay, dependence in activities of daily living, and physical and psychological comorbidities had significant moderating effects on the occurrence rates of sleep disturbances. Sleep disturbances, particularly obstructive sleep apnea, poor sleep quality, and insomnia, are alarmingly prevalent among institutionalized older adults. Our findings underscore the critical need for early detection and intervention to address these disturbances, which could significantly improve the overall well-being and quality of life in this vulnerable population.</div></div>","PeriodicalId":49513,"journal":{"name":"Sleep Medicine Reviews","volume":"81 ","pages":"Article 102091"},"PeriodicalIF":11.2,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0