Behavioral Sleep Medicine最新文献

{"title":"Quality of Sleep and Its Determinants Among People with Diabetes Mellitus in Sub-Saharan Africa: A Systematic Review and Meta-Analysis.","authors":"Setegn Fentahun, Techilo Tinsae, Gidey Rtbey, Fantahun Andualem, Mulualem Kelebie, Getasew Kibralew, Girum Nakie, Samuel Teferi, Asnake Tadesse, Mamaru Melkam, Gebresilassie Tadesse","doi":"10.1080/15402002.2024.2367469","DOIUrl":"10.1080/15402002.2024.2367469","url":null,"abstract":"<p><strong>Background: </strong>Poor sleep quality is a serious concern among diabetes mellitus patients, adversely affecting glycemic management and the prognosis of diabetic patients. Therefore, the main aim of this study was to estimate the overall pooled prevalence of poor sleep quality and its associated factors among diabetic patients in Sub-Saharan Africa.</p><p><strong>Methods: </strong>Several search databases were employed to retrieve the eligible studies. A standardized data extraction format was used to extract the data, and the analysis was conducted using STATA version 14. To determine heterogeneity, the I² test was conducted, and both the funnel plot and Egger's regression test were used to assess the publication bias. A random effects model meta-analysis was performed to estimate the overall prevalence and associated factors of poor sleep quality.</p><p><strong>Results: </strong>In the current meta-analysis, a total of 11 studies with 3,766 study participants were included. The overall pooled prevalence of poor sleep quality among diabetic patients was 53.22% (95% CI: 36.26, 70.19). Poor sleep quality was significantly associated with longer duration of diabetes (OR = 2.94, 95% CI: 1.85, 4.67), poor glycemic control (OR = 2.24, 95% CI: 1.51, 3.32), depression (OR = 4.09, 95% CI: 2.07, 8.05) and comorbidity (OR = 1.94, 95% CI: 1.31, 2.88).</p><p><strong>Conclusion: </strong>In this study, more than half of diabetic patients in Sub-Saharan Africa had poor sleep quality. Therefore, healthcare providers should give more attention to sleep disorders when screening diabetic patients to improve their poor sleep quality.</p>","PeriodicalId":55393,"journal":{"name":"Behavioral Sleep Medicine","volume":" ","pages":"803-819"},"PeriodicalIF":2.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141321972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cognitive behavior therapy for insomnia in university students delivered via videoconferencing groups: A pilot study.","authors":"Michelle Tadros, Sophie Li, Britt Corkish, Emily Upton, Jill Newby, Aliza Werner-Seidler","doi":"10.1080/15402002.2024.2374258","DOIUrl":"10.1080/15402002.2024.2374258","url":null,"abstract":"<p><strong>Introduction: </strong>Sleep difficulties are common amongst university students and are associated with mental illness and reduced wellbeing. This paper reports a pilot study of Cognitive Behavior Therapy for Insomnia (CBT-I) tailored specifically for university students. It was hypothesized that the intervention would be feasible, acceptable, and improve sleep, anxiety, depression, and wellbeing.</p><p><strong>Method: </strong>Students aged 18-25 participated via videoconferencing small group sessions of CBT-I. Feasibility was assessed through sign-up, consent rates, and study attrition, while acceptability was assessed using intervention adherence and a measure of intervention acceptability. Outcome measures included sleep quality, insomnia, suicidal ideation, symptoms of depression, anxiety, and wellbeing, and were assessed at baseline and post-intervention.</p><p><strong>Results: </strong>Participants were 44 students (<i>M</i> = 21.8 years). Feasibility was confirmed by sign-up and consent rates (80% of the students who expressed interest agreed to participate); overall study attrition was 48%, comprised largely of participants not commencing treatment (27%). Participants perceived the program as effective and logical and made use of the skills suggested. In terms of adherence, 82% of the participants who engaged with treatment attended two or more sessions and 63% attended all four sessions; and 92% were either very satisfied or mostly satisfied. Sleep quality, insomnia, depression, anxiety, and wellbeing all significantly improved from pre- to post-intervention.</p><p><strong>Discussion: </strong>There was evidence that the CBT-I intervention tailored for university students was acceptable to participants and could be feasible to deliver. Sleep quality, depression, anxiety, and wellbeing improved significantly. These findings suggest that the intervention is suitable for evaluation in a fully powered randomized controlled trial.</p>","PeriodicalId":55393,"journal":{"name":"Behavioral Sleep Medicine","volume":" ","pages":"843-856"},"PeriodicalIF":2.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141472842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trait-based Anxiety Symptoms are Associated with Higher Incidence of Nightmare Frequency in the Wisconsin Sleep Cohort.","authors":"Matthew K P Gratton, Nancy Hamilton, Diego R Mazzotti","doi":"10.1080/15402002.2024.2386608","DOIUrl":"10.1080/15402002.2024.2386608","url":null,"abstract":"<p><strong>Objectives: </strong>Nightmares affect up to 12% of the population and are often comorbid with psychiatric disorders like anxiety and depression. Limited research has examined their influence on nightmare frequency. This study investigates the relationship between depression and trait-anxiety symptoms on incident nightmare frequency at follow-up.</p><p><strong>Method: </strong>Cross-sectional and longitudinal analyses were conducted on 758 Wisconsin Sleep Cohort participants. Trait anxiety and depression symptom severity were measured using the State Trait Anxiety Inventory and Zung Depression Scale. Ordinal regression determined nightmare frequency cutoffs based on anxiety and depression severity. Cross-sectional associations were assessed with Spearman and Kruskal-Wallis tests. Longitudinal associations were analyzed using adjusted binomial regression of binary nightmare frequency (low: <4/month, high: >5/month) against clinical cutoffs of trait anxiety and depression.</p><p><strong>Results: </strong>Adjusted models indicated a small correlation between baseline nightmare frequency and trait anxiety (β = 0.01, <i>p</i> = .010) and depression symptoms (β = 0.01, <i>p</i> = .005). High baseline trait-anxiety symptoms were associated with frequent nightmares at follow-up (OR = 3.75, CI95% [1.306,10.793], <i>p</i> < .014), but depression symptoms were not (OR = 1.35, CI95%[0.399, 4.587], <i>p</i> = .627).</p><p><strong>Conclusions: </strong>Our findings suggest that high trait-anxiety symptoms are associated with increased incident nightmare frequency, when adjusted for depression. However, high depression symptoms were not associated with an increase in nightmare frequency when adjusted for trait-anxiety.</p>","PeriodicalId":55393,"journal":{"name":"Behavioral Sleep Medicine","volume":" ","pages":"921-931"},"PeriodicalIF":2.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141861748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of cognitive behavioral therapy for insomnia on sleep quality among college students: the role of hyperarousal and dysfunctional beliefs","authors":"Kaixu Zhu, Shengping Xue","doi":"10.1080/15402002.2024.2401473","DOIUrl":"https://doi.org/10.1080/15402002.2024.2401473","url":null,"abstract":"Although cognitive-behavioral therapy for insomnia (CBT-I) is an effective treatment for sleep disorders, little is known about the role of hyperarousal (especially trait arousal) in CBT-I interven...","PeriodicalId":55393,"journal":{"name":"Behavioral Sleep Medicine","volume":"65 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142253142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Daily Associations Between Sleep Parameters and Depressive Symptoms in Individuals with Insomnia: Investigating Emotional Reactivity and Regulation as Mediators.","authors":"Helen Tsz Ching Tsui,Wai Sze Chan","doi":"10.1080/15402002.2024.2399620","DOIUrl":"https://doi.org/10.1080/15402002.2024.2399620","url":null,"abstract":"OBJECTIVESPrevious research suggests that insomnia and depressive symptoms might be causally related. Emotional reactivity and regulation have been proposed to explain the potential causal relationship between insomnia and depression. However, longitudinal evaluations of their mediating effects are limited. Hence, the current study aimed to examine the mediating effects of emotional reactivity and regulation on the longitudinal associations between daily sleep parameters and depressive symptoms over 14 days in individuals with insomnia.METHODSParticipants were sixty adults aged 18-65 who had clinically significant insomnia. They filled out a survey each morning and evening and wore actigraphy watches for 14 consecutive days. The five sleep parameters were measured by sleep diary in the morning survey (subjective total sleep time, subjective sleep efficiency, and sleep quality) and actigraphy watches (objective total sleep time and objective sleep efficiency). Emotional reactivity and emotion regulation strategy use during the day were assessed in the evening survey using the International Positive and Negative Affect Schedule Short Form, Emotion Regulation Questionnaire, and Cognitive Emotion Regulation Questionnaire. Depressive symptoms of the day were evaluated in the evening survey with the Center for Epidemiologic Studies Depression Scale.RESULTSResults showed that sleep quality and depressive symptoms, as well as actigraphy-measured sleep efficiency and depressive symptoms, predicted each other in individuals with insomnia, mediated by negative reactivity but not emotion regulation.CONCLUSIONSThe present findings support the mediating role of negative emotional reactivity in the bidirectional, daily relationship between sleep parameters and depression in individuals with insomnia.","PeriodicalId":55393,"journal":{"name":"Behavioral Sleep Medicine","volume":"7 1","pages":"1-16"},"PeriodicalIF":3.1,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical Characteristics and Treatment Efficacy for Co-Morbid Insomnia and Sleep Apnea (COMISA): Evidence from Qualitative and Quantitative Analysis.","authors":"Jie Liu, Chenyang Zang, Minhan Yi, Yuan Zhang","doi":"10.1080/15402002.2024.2324361","DOIUrl":"10.1080/15402002.2024.2324361","url":null,"abstract":"<p><strong>Objectives: </strong>A multitude of physical and mental challenges are being faced in the population with Co-morbid Insomnia and Sleep Apnea (COMISA). Unfortunately, research about clinical characteristics and management of COMISA based on quantitative evidence is lacking.</p><p><strong>Method: </strong>Standard procedures for literature retrieval, selection and quality assessment, data extraction, analysis, and interpretation were conducted step by step. For studying the sleep characteristics, common complications and widely recognized treatment options for COMISA, Weighted Mean Difference (WMD) and Odds Ratio (OR) were applied to assess the mean and risk differences between compared groups. Outcomes included sleep health parameters and secondary impairments in physical and mental well-being.</p><p><strong>Results: </strong>COMISA showed worse sleep quality than OSA only by PSQI (WMD = 3.38 point) and heavier sleep fragmentation (WMD = 11.46 min) than insomnia only. Besides, COMISA patients showed a higher risk for depression (OR [95%CI] = 5.03[2.31, 10.93]) and PTSD (OR [95%CI] = 3.96[1.85, 8.46]) in comparison with OSA alone. Compared to insomnia alone, COMISA patients suffered from more than two times higher risk of cardiovascular diseases, hypertension, and diabetes. In treating COMISA patients, combining CBTI with PAP treatment can enhance the improvement of insomnia severity (ISI, WMD [95%CI] =-3.26[-4.51, -2.00] point) and sleep efficiency (WMD [95%CI] = 6.39[1.97, 10.81] %) compared to PAP alone.</p><p><strong>Conclusions: </strong>Impaired sleep domains in COMISA cover sleep quality and sleep structure. Also, COMISA has a higher risk for cardiometabolic diseases and mental disorders. Combining CBTI with PAP can be a recommended treatment to relieve sleep impairments for COMISA.</p>","PeriodicalId":55393,"journal":{"name":"Behavioral Sleep Medicine","volume":" ","pages":"611-635"},"PeriodicalIF":2.2,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140190443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychometric Evaluation of the Insomnia Severity Index in Nurses.","authors":"Samantha M Nagy, Sarah E Emert, Jacqueline J Leete, Daniel J Taylor, Jessica R Dietch, Danica C Slavish, Camilo J Ruggero, Kimberly Kelly","doi":"10.1080/15402002.2024.2362370","DOIUrl":"10.1080/15402002.2024.2362370","url":null,"abstract":"<p><strong>Objectives: </strong>Examine psychometric properties of the Insomnia Severity Index (ISI) in a sample of nurses.</p><p><strong>Method: </strong>In a sample of day shift nurses (<i>N</i> = 289), a confirmatory factor analysis (CFA), convergent and discriminant validity analyses, and a test-retest reliability analysis were performed.</p><p><strong>Results: </strong>CFA showed that a two-factor model provided the best fit. The ISI had moderate to poor convergent validity with sleep diary parameters, and moderate convergent validity with the Sleep Condition Indicator (<i>r</i> = -.66), Pittsburgh Sleep Quality Index (<i>r</i> = .66), and PROMIS Sleep-Related Impairment measure (<i>r</i> = .67). The ISI demonstrated good discriminant validity with the measures Composite Scale of Morningness (<i>r</i> = -.27), Nightmares Disorder Index (<i>r</i> = .25), PTSD Checklist for DSM-5 (sleep items removed; <i>r</i> = .32), and Perceived Stress Scale (<i>r</i> = .43). The ISI had weaker discriminant validity with the PHQ-9 (<i>r</i> = .69) and Generalized Anxiety Disorder Screener (<i>r</i> = .51). The ISI demonstrated a good test-retest reliability (ICCs = .74-.88).</p><p><strong>Conclusions: </strong>The ISI is a psychometrically strong measure for the assessment of insomnia severity in day shift nurses. Overlap with psychological symptoms, primarily anxiety and depression, suggests caution while interpreting these constructs.</p>","PeriodicalId":55393,"journal":{"name":"Behavioral Sleep Medicine","volume":" ","pages":"779-789"},"PeriodicalIF":2.2,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11365753/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141319006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integration of Sensor-Based and Self-Reported Metrics in a Sleep Diary: A Pilot Exploration.","authors":"Sarah Conklin, Jessica R Dietch, Golshan Kargosha, Faith Luyster, Molly Atwood, Matthew S Tenan, Gary Zammit, Nilanjan Banerjee, Justin Brooks","doi":"10.1080/15402002.2024.2359413","DOIUrl":"10.1080/15402002.2024.2359413","url":null,"abstract":"<p><strong>Objectives: </strong>Discrepancies between sleep diaries and sensor-based sleep parameters are widely recognized. This study examined the effect of showing sensor-based sleep parameters while completing a daily diary. The provision of sensor-based data was expected to reduce variance but not change the mean of self-reported sleep parameters, which would in turn align better with sensor-based data compared to a control diary.</p><p><strong>Method: </strong>In a crossover study, 24 volunteers completed week-long periods of control diary (digital sleep diary without sensor-based data feedback) or integrated diary (diary with device feedback), washout, and then the other diary condition.</p><p><strong>Results: </strong>The integrated diary reduced self-reported total sleep time (TST) by <10 minutes and reduced variance in TST. The integrated diary did not impact mean sleep onset latency (SOL) and, unexpectedly, the variance in SOL increased. The integrated diary improved both bias and limits of agreement for SOL and TST.</p><p><strong>Conclusions: </strong>Integration of wearable, sensor-based device data in a sleep diary has little impact on means, mixed evidence for less variance, and better agreement with sensor-based data than a traditional diary. How the diary impacts reporting and sensor-based sleep measurements should be explored.</p>","PeriodicalId":55393,"journal":{"name":"Behavioral Sleep Medicine","volume":" ","pages":"725-738"},"PeriodicalIF":2.2,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11365783/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141312360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Cross Sectional Survey of Factors Related to Cannabis Use as a Sleep Aid Among Canadian Cancer Survivors.","authors":"Rachel M Lee, Jennifer Donnan, Nick Harris, Sheila N Garland","doi":"10.1080/15402002.2024.2361015","DOIUrl":"10.1080/15402002.2024.2361015","url":null,"abstract":"<p><strong>Objectives: </strong>Poor sleep is a common side effect of cancer. Cannabis is increasingly used to manage cancer treatment-related symptoms, including sleep. This study investigated factors related to cannabis use for sleep among Canadian cancer survivors.</p><p><strong>Method: </strong>Adult Canadian cancer survivors (<i>N</i> = 940) were recruited via the Angus Reid Institute and completed an online, cross-sectional survey. Univariate and multiple binomial logistic regression models identified factors associated with cannabis use for sleep.</p><p><strong>Results: </strong>Of the participants (M_age = 64.5 yrs; Women = 51.1%; White = 92.9%), 25.1% (<i>n</i> = 236) currently use cannabis for sleep. Participants were at greater odds of using cannabis for sleep if they identified as a gender other than man or woman (AOR = 11.132), were diagnosed with multiple medical conditions (2:AOR = 1.988; 3+:AOR = 1.902), two psychological conditions (AOR = 2.171), multiple sleep disorders (AOR = 2.338), insomnia (AOR = 1.942), bone (AOR = 6.535), gastrointestinal (AOR = 4.307), genitourinary (AOR = 2.586), hematological (AOR = 4.739), or an unlisted cancer (AOR = 3.470), received hormone therapy only (AOR = 3.054), drink heavily (AOR = 2.748), or had mild insomnia (AOR = 1.828). Older participants (AOR=.972) and those with sleep apnea were less likely to use cannabis for sleep (AOR=.560).</p><p><strong>Conclusion: </strong>Given its prevalence, research is needed to understand how factors associated with cannabis use as a sleep aid among Canadian cancer survivors may influence its use and effectiveness and whether these factors are barriers to accessing evidence-based treatments.</p>","PeriodicalId":55393,"journal":{"name":"Behavioral Sleep Medicine","volume":" ","pages":"754-769"},"PeriodicalIF":2.2,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141158822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility and Acceptability of Mindfulness-based Stress Reduction and Prenatal Sleep Classes for Poor Prenatal Sleep Quality: Pilot Randomized Controlled Trial.","authors":"J N Felder, R Mirchandaney, R Manber, J Cuneo, A Krystal, N Solomon, S Janette, L Zhang, P Moran, M Mashash, E Epel, F M Hecht","doi":"10.1080/15402002.2024.2359415","DOIUrl":"10.1080/15402002.2024.2359415","url":null,"abstract":"<p><strong>Objectives: </strong>The main objectives of the current paper were to examine the feasibility, acceptability, and adherence of a remotely delivered intervention consisting of mindfulness-based stress reduction plus prenatal sleep classes (MBSR+PS) compared with treatment as usual (TAU).</p><p><strong>Method: </strong>In this pilot randomized controlled trial, 52 pregnant women with poor sleep quality were randomized to MBSR+PS or TAU. MBSR was delivered through eight weekly 2.5-hour sessions, and PS was delivered through eight weekly 30-minute sessions. PS content drew material from cognitive behavioral therapy for insomnia tailored for the perinatal period and from a mindfulness- and acceptance-based lens. Participants completed endpoint measures 10-12 weeks after randomization.</p><p><strong>Results: </strong>We surpassed all acceptability targets, including the percentage of eligible participants willing to be randomized (96%), percentage of participants who initiated treatment (88%), and satisfaction scores (Client Satisfaction Questionnaire-8 score <i>M</i> = 28.04, <i>SD</i> = 3.6). We surpassed all feasibility targets, including our enrollment target, retention rate (92%), and measure completion (96%). Finally, we surpassed adherence targets, including MBSR and PS session attendance (≥80%). Though sleep outcomes were exploratory, increases in sleep efficiency were greater in the MBSR+PS group relative to TAU (SMD=.68).</p><p><strong>Conclusions: </strong>Patient-reported poor sleep quality during pregnancy has high public health significance because it is common, consequential, and under-treated. The current feasibility and acceptability data for using remotely delivered MBSR and PS to improve prenatal sleep quality are encouraging and warranting future research that is sufficiently powered and designed to provide efficacy data. In addition, exploratory sleep outcomes offer preliminary evidence that this sleep program may improve sleep efficiency during pregnancy.</p>","PeriodicalId":55393,"journal":{"name":"Behavioral Sleep Medicine","volume":" ","pages":"739-753"},"PeriodicalIF":2.2,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11365756/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141288980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}