bluuebunny/crossref_metadata_2025_split huggingface dataset:
372 Sleep Hygiene Compliance and Sleep in Young Adult Drinkers with Insomnia: A Daily Analysis
Authors: Miller Mary Beth , Curtis Ashley , Hall Nicole , Everson Adam , Park Chan Jeong , Martinez Leticia , Freeman Lindsey , McCrae Christina S 
Published: May 2021

Abstract

Introduction
Empirical evidence linking sleep hygiene practices to subsequent sleep parameters – and the extent to which those compare to evidence-based practices such as stimulus control – is limited. This study examined the daily impact of recommendation compliance on sleep in a sample of young adult drinkers with insomnia.

Methods
Young adults (18-30y; N=56, 75% female) who met diagnostic criteria for insomnia and reported past-month binge drinking wore wrist actigraphy and completed online sleep diaries for 7+ days (492 reports). Diaries assessed compliance with nine sleep hygiene recommendations: to limit naps; limit caffeine; avoid caffeine after 12p; avoid tobacco, alcohol, vigorous exercise, and heavy meals within 2 hours of bedtime; avoid bright light within 30 minutes of bedtime; and utilize a bedtime routine. If participants reported wake after sleep onset, diaries also assessed if they had gotten out of bed and returned to bed only when sleepy (partial stimulus control instructions). Multilevel models examined three outcomes: sleep quality, self-reported sleep efficiency, and actigraphy-measured sleep efficiency (α=.05/3≤.017). Covariates included gender; college enrollment; weekday versus weekend; and between-person differences in insomnia severity, hazardous drinking, and average compliance,

Results
Participants self-reported better sleep efficiency on days that they avoided naps (B=3.64, p=.004; 95% CI=1.20, 6.08). They also self-reported better sleep quality (B=0.40, p&lt;.001; 95% CI=0.19, 0.60) and sleep efficiency (B=3.94, p&lt;.001; 95% CI=1.76; 6.12) on days that they followed stimulus control. Surprisingly, they reported worse sleep quality (B=-0.28, p=.017; 95% CI=-0.51, -0.05) and sleep efficiency (B=-3.74, p=.002; 95% CI=-6.08, -1.40) on days that they avoided alcohol use before bedtime. No variables were significantly associated with actigraphy-based sleep efficiency. At the between-person level, participants reporting more at-risk drinking reported worse sleep quality (B=-0.04, p=.017; 95% CI=-0.08, -0.01).

Conclusion
Data provide empirical support for recommendations that young adult drinkers with insomnia avoid naps and get out of bed during nighttime awakenings. Although heavier drinkers reported worse sleep quality than lighter drinkers, they also reported better subjective (but not objective) sleep on nights they drank close to bedtime. We speculate that this is due to later bedtimes on heavy-drinking nights.

Support (if any)
University of Missouri Research Board (PI Miller)
379 Do Depressive Symptoms Mediate the Association Between Insomnia and Physical Activity?
Authors: Walker Jamie , Campbell Rebecca , Vargas Ivan 
Published: May 2021

Abstract

Introduction
Insomnia and depression are highly comorbid and have been shown to be independently associated with lower levels of physical activity. It is not clear, however, if being less physically active is a risk factor for or consequence of depression and insomnia. The factors that explain the associations between insomnia, depression, and physical activity are likely complex and overlapping. For example, insomnia may predict inactivity by impacting one’s energy levels, leaving them too tired to exercise. Insomnia may also interfere with one’s motivation to exercise due to low mood, as insomnia is associated with the development of depressive symptoms. The purpose of the present study was to explore whether depression mediated the link between insomnia and low levels of physical activity.

Methods
A national online survey was conducted from April-June 2020. Participants completed surveys to assess demographics, mood, sleep, and physical activity. Depressive symptoms were estimated with the Center for Epidemiologic Studies Depression Scale (CES-D). Insomnia symptoms were estimated with the Insomnia Severity Index (ISI). Physical activity levels were estimated with the International Physical Activity Questionnaire (IPAQ). Analyses were conducted using multiple linear regression, with separate models for depression, insomnia, and the combination of the two, on levels of physical activity.

Results
3,952 adults (Mage = 46.9 years) completed the survey. According to the unadjusted models, greater insomnia symptoms were associated with greater depressive symptoms (b = 0.4523, SE = 0.019593, p &lt; .001), and lower levels of physical activity (b = -38.741, SE = 18.236, p = 0.0337). The relationship between insomnia and physical activity was no longer significant, however, when controlling for depression (b = -6.140, SE = 19.274, p = 0.75). According to the mediation analyses, there was an indirect effect of insomnia on physical activity that was explained by differences in depressive symptoms (Sobel Test = -4.895, SE = 6.518, p &lt; .001).

Conclusion
Our findings support previous research indicating associations between symptoms of insomnia and depression and physical activity. Future research should examine if these same results hold using a longitudinal design.

Support (if any)
Vargas: K23HL141581
381 Evening Chronotype Predicts Subjective Sleep Symptom Severity in Pregnant Women with Insomnia Disorder
Authors: Tutek Joshua , Solomon Natalie , Dietch Jessica , Simpson Norah , Manber Rachel 
Published: May 2021

Abstract

Introduction
Evening chronotype is associated with greater reports of insufficient sleep and sleep-related distress. Little research has examined this relationship within the context of pregnancy. This study investigated whether eveningness predicts insomnia severity, sleep effort, dysfunctional sleep beliefs, and sleep reactivity to stress in pregnant women with insomnia disorder.

Methods
Pregnant women with insomnia disorder who spoke English or Spanish enrolled in a clinical trial of cognitive behavioral therapy for insomnia (N = 178; M age = 32.6 years). Before beginning treatment, participants completed the Composite Scale of Morningness (CSM), Insomnia Severity Index (ISI), Glasgow Sleep Effort Scale (GSS), Dysfunctional Beliefs and Attitudes about Stress Scale (DBAS), and Ford Insomnia Response to Stress Test (FIRST). Participants were categorized into evening, intermediate, or morning chronotypes (bottom 25%, middle 50%, or top 25% of CSM scores, respectively). MANCOVA examined whether chronotype predicted higher baseline ISI, GSS, DBAS, and FIRST scores after adjusting for age, gestational week of pregnancy, and language.

Results
Sleep measures collectively differed by chronotype, F(8, 336) = 4.05, p &lt; .001; Wilk’s Λ = .83, partial η-sqd = .09. Follow-up ANOVAs testing individual dependent variables were all significant (partial η-sqd = .04 – .10, p &lt; .05). Pairwise comparisons (Bonferroni-adjusted; p &lt; .05) found that evening types had higher ISI scores than intermediate (M difference = 2.21) and morning types (M difference = 2.30), and higher DBAS scores than morning types (M difference = .95). Morning types had lower FIRST scores than evening (M difference = 5.44) and intermediate types (M difference = 3.89).

Conclusion
Evening chronotype was associated with greater insomnia severity and maladaptive sleep-related cognition than other chronotypes among pregnant women with insomnia disorder. Future research may examine whether differences in chronotype have implications for insomnia treatment outcome during pregnancy, and whether greater morningness confers protection against sleep challenges during the early postpartum period.

Support (if any)
NIH R01 NR013662
402 A wireless patch-based polysomnography system for sleep studies: effect of the 2016 AASM rules on AHI in normal individuals
Authors: de Vries Jantina , Rossi Alessandro , De Francisco Ruben , Adnane Soukaina , Schneider Hartmut , Andries Daniela 
Published: May 2021

Abstract

Introduction
Current home sleep test (HST) devices are limited by an absence of EEG, or by being too cumbersome to use. We developed a wireless PSG system (Onera Health, NL) consisting of four disposable patches to record EEG, EOG, EMG, SaO2, ECG, bioimpedance derived respiratory airflow and effort, airflow via nasal cannula, snoring sounds, body position, actigraphy, and leg movements. Signals are stored on reusable electronic modules attached to each patch.

Methods
We measured PSG hook-up time in 15 healthy laypersons (6 male, 9 female, age 18-to-70 yrs, BMI 29.7±5.2 kg/m2). We also enrolled 6 additional asymptomatic healthy volunteers (2 male, 4 female, age 27-to-33 yrs, BMI 24.3±5.7 kg/m2) with history of occasional snoring, on which we scored the apnea-hypopnea index (AHI) using data from our patch-based PSG system recorded at home. We evaluated scoring using the 2016 AASM rules for hypopneas in comparison to the 2007 AASM rules requiring a greater than 3% fall in SaO2 for obstructive hypopneas.

Results
Mean hook-up time for applying all four patches and electronic modules was 4:42 ± 1:20 min. Mean home sleep efficiency was 89.5 SE 1.9% with an average REM% of 20 SE 6.7%. When comparing the 2016 vs 2007 AASM rules for scoring hypopneas, the AHI increased more than threefold during NREM (9.0 SE 2.0/h vs 2.7 SE 0.8/h; p&lt;0.03) and minimally during REM (11.7 SE 2.3/h and 7.1/h SE 1.8/h; p&lt;0.01), implying an overall increase in the AHI from 3.7 SE 0.8/h to 9.9 SE 1.9/h; p&lt;0.02. One subject changed AHI category from normal to mild (3.6 to 14.4/h), another from mild to moderate (12.7 to 26.3/h) using the 2016 AASM rules.

Conclusion
Our wireless patch-based PSG system is an easy solution for sleep studies at home or in the sleep lab, lowering the burden to conduct large scale epidemiologic sleep studies. The presence of standard EEG signals allows to determine NREM and REM statistics, respiratory and non-respiratory arousal indices, AHI and RERA’s by sleep stages. Preliminary study results show that using cortical arousal criteria for hypopneas, the AHI increase is more pronounced in NREM compared to REM sleep.
Support (if any):
416 The impact of Obstructive Sleep Apnea severity on age-related comorbities: a population-based study
Authors: Silva Mayra , Poyares Dalva , Oliveira Luciana , Andersen Monica , Tufik Sergio , Piovesan Ronaldo 
Published: May 2021

Abstract

Introduction
Although age per se has been considered a risk factor for OSA, evidence suggest OSA in older adults may be less severe and OSA diagnostic criteria might be adjusted for this age group. Concurrently, it is likely the late-onset OSA is a distinct phenotype having different pathophysiological mechanisms, as well as clinical manifestations and consequences. We sought to investigate the clinical consequences of OSA severity in older adults from a representative sample of the older population living in the São Paulo city.

Methods
From the baseline survey including 1042 participants in 2007, 715 were reassessed in 2016 completing full in-lab PSG, health-related questionnaires, blood tests, and blood pressure measurements. Individuals &gt; 60 y.o. (n=199) of both genders were included in the analysis. Participants were stratified according to OSA presence and severity in 3 groups G1 (non and mild OSA n=83); G2 (moderate OSA n=56); G3 (severe OSA n=60). General Linear Model (GLM) tests and Chi-square were carried out.

Results
Participants mean age was 70.02±7.31 and mean body mass index (BMI) 28.61±5.39, 40.71% of men. The only comorbidity associated with OSA severity was arterial hypertension occurring in 61.7% of G3, 46.4% of G4 and 41% of G1 (p=0.04). Severe OSA participants were more likely to use a higher (&gt;2/day) number of medications (p=0.03). Finally, out of all blood tests only cortisol was significantly higher in severe OSA group (p&lt;0.001)

Conclusion
Severe OSA in older individuals of the general population is not associated with metabolic conditions, such as diabetes, but it was associated with hypertension. Severe OSA may be a stressful condition, since it was associated with higher cortisol in this population.

Support (if any)
Associaçao Fundo Incentivo a Pesquisa (AFIP)
421 Elucidating Circadian and Sleep Phenotypes and Relation to Cognitive Impairment in Alzheimer’s Dementia
Authors: Heinzinger Catherine , Wang Lu , Bena James , Bekris Lynn , Foldvary-Schaefer Nancy , Pillai Jagan , Rao Sujata , Rao Stephen , Leverenz James , Mehra Reena 
Published: May 2021

Abstract

Introduction
Although sleep disruption in Alzheimer’s disease (AD) pathogenesis has been described, the role of circadian rhythm dysfunction (CRD) is less understood. We hypothesize greater CRD and sleep disruption with poorer cognitive function in AD compared to normal cognition.

Methods
We examined 3 groups:1)mild cognitive impairment with positive AD biomarkers(MCI-AD),n=18, 2)cognitively normal at high risk for AD(HR)(APOEƐ4 carriers),n=19, 3)cognitively normal APOEƐ4 non-carriers(CL),n=16 (National Institute of Aging, IMMUNE-AD). DNA extraction and APOEƐ4 genotyping were performed under the Cleveland Clinic Lou Ruvo Center for Brain Health Aging and Neurodegenerative Disease Biobank. We evaluated actigraphy-based (Motionlogger MicroWatch, Ambulatory Monitoring,Inc®) sleep (wake episodes(WE), total sleep time(TST), sleep efficiency(SE), sleep fragmentation index(SFI)) and circadian (mesor, amplitude, robustness, sleep regulatory index(SRI), intradaily stability) predictors and sleep study-based (ApneaLink Air by ResMed®) predictors (apnea hypopnea index(AHI,3% desaturation) and recording time&lt;90%SaO2) across the groups and assessed association with cognition (Mini-Mental State Exam(MMSE)). Analysis of variance (ANOVA) or Kruskal-Wallis with Bonferroni adjustment was used for cross-group comparisons. ANCOVA assessed cross-group association of MMSE and sleep/circadian indices. Models were adjusted for age, sex, race, education, and BMI.

Results
Age differed across MCI-AD, HR, and CL groups (68.4±6.2,71.2±3.7,73.7±3.7 respectively,p=0.008). MCI-AD had more WE than HR and CL (14.4±5.6,10.9±3.9,10.9±3.5 respectively,p=0.033). In MCI-AD, the following associations were observed: 5% increase in SE was associated with 0.49 point higher MMSE (coefficient0.49, 95%CI[0.03,0.95],p=0.038), 1 hour increase in TST was associated with 0.81 point higher MMSE (coefficient0.81, 95%CI[0.24,1.37],p=0.006), and 1 unit increase in SFI was associated with 0.36 point lower MMSE (coefficient-0.36, 95%CI[-0.64,-0.08],p=0.013). Key measures differed: CLs had lower AHI, MCI-AD had less TST SaO2&lt;90%, MCI-AD had the largest and HR the lowest SFI, and MCI-AD had lesser robustness but higher mesor and amplitude.

Conclusion
In this comparative study of carefully AD biomarker-phenotyped and APOEƐ4-genotyped patients and normal cognition controls, less sleep time and more fragmented sleep are associated with poorer MMSE scores in MCI-AD. Preliminary results show cognitively normal participants at risk of AD(HR) do not show CRD seen in MCI-AD and are more consistent with controls (CL).

Support (if any)
Catalyst Award. MCI cohort: Alzheimer’s Association, 2014-NIRG-305310. IMMUNE-AD, R01AG022304. CADRC, P30 AG062428. Jane and Lee Seidman Fund.
435 Single Session CBT to Improve PAP Initiation and Adherence among Veterans with OSA
Authors: Bishop Todd , Walsh Patrick , Stecker Tracy , Speed Katrina , Ashrafioun Lisham , Stepnowsky Carl , Kuna Samuel , Pigeon Wilfred 
Published: May 2021

Abstract

Introduction
Obstructive sleep apnea (OSA) is a condition that is prevalent, pernicious, and linked to the development and exacerbation of several disease processes. Positive airway pressure (PAP) is a highly efficacious intervention; however, initiation and adherence rates are poor. This represents a critical gap in care and a missed opportunity to reduce morbidity and mortality associated with OSA. The present study piloted a single session of cognitive behavioral therapy for treatment seeking (CBT-TS) among veterans diagnosed with obstructive sleep apnea and newly prescribed PAP.

Methods
Participants were asked to complete assessments at baseline and at two- and four-weeks post-intervention. A sample of 40 Veterans were enrolled in the study and completed a baseline interview, 27 completed CBT-TS. A matched comparison group of 64 veterans who did not receive the intervention was constructed using electronic medical record and PAP adherence data. Mann Whitney U and Chi Square tests were used to examine group differences in initiation and adherence.

Results
Participants who completed the CBT-TS session were more likely to initiate PAP (at least 3 consecutive nights of use) as compared to those receiving treatment as usual (TAU) [(CBT-TS; 96.3%; 26/27) versus (TAU; 64.1%; 41/64); X2(1, N = 91) = 10.16, p = .001]. Participants in the CBT-TS group also used their PAP devices for a greater number of nights over the first month than the comparison group [(CBT-TS; M = 21.7 (SD = 8.9), Mdn = 26.0) versus (TAU; M = 14.4 (SD = 12.6), Mdn = 15.5); U = 555.0, p = .007] and were more likely to use the device in an adherent manner (i.e., ≥4 hours use in an evening); [(CBT-TS; M = 15.1 (SD = 11.2); Mdn = 15.0) versus (TAU; M = 10.3 (SD = 11.2), Mdn = 6.5); U =630.0, p = .038].

Conclusion
These preliminary data suggest that CBT-TS may have utility in increasing initiation of PAP and subsequent treatment adherence among Veterans diagnosed with OSA and newly prescribed PAP.

Support (if any)
This work was supported by the VA Center of Excellence for Suicide Prevention in the Finger Lakes Healthcare System.
438 Rapid Eye Movement Rebound After Continuous Positive Airway Pressure in Co-Morbid Obstructive Sleep Apnea and Fibromyalgia
Authors: Tapia Gregory , Chakraborty Sthitadhi , Padiyara Julia , Khurshid Abid , Rao Murali , Meresh Edwin 
Published: May 2021

Abstract

Introduction
Fibromyalgia (FM) is a chronic pain condition that is associated with poor sleep quality and may present with obstructive sleep apnea (OSA). In OSA patients without FM, previous research has demonstrated a 57% relative increase in rapid eye movement (REM) sleep duration following treatment with continuous positive airway pressure (CPAP). However, there is limited data on REM rebound in patients with co-morbid FM and OSA. Patients with FM are often prescribed medication, like opioid analgesics, that decrease REM sleep. Additionally, pain perception may be altered by decreased REM duration. In the context of a national opioid crisis, it is imperative to explore how nonpharmacological options for treatment of co-morbid FM and OSA may improve REM sleep duration.

Methods
Following IRB approval at a university-affiliated teaching hospital, an electronic medical chart review was completed on patients diagnosed with FM and OSA who received polysomnography testing (PSG) and subsequent CPAP titration treatment. REM duration and REM total sleep time (TST) percentages were reviewed at baseline PSG and after CPAP titration.

Results
FM with OSA (n = 30). Mean age: 50.87, female: 28 (93%), male: 2 (7%). Baseline PSG: mean REM duration 34.47 minutes, mean REM TST 11.03%. After CPAP titration: mean REM duration 56.78 minutes, mean REM TST 18.84%. Pre- and post-CPAP titration REM TST percentage increased from 11.0% to 18.8%, indicating a mean difference of 7.8% (p &lt; 0.001) and a 71% relative increase in REM TST percentage duration.

Conclusion
These findings suggest delivery of CPAP to patients with FM and OSA improved REM sleep duration. The role of sleep in FM and pain severity is underexplored. Given the potential of chronic opioid use in patients with FM, treatment of OSA with CPAP may be a nonpharmacological alternative to pain management. Future studies are needed to see if REM rebound is associated with wellbeing, including perceived sleep quality and decreased pain perception.
Support (if any):
450 Cellular Energy Monitoring for Diagnosis and Management of Therapy for Sleep Disordered Breathing
Authors: Hatch Guy 
Published: May 2021

Abstract

Introduction
Polysomnogram (PSG) monitoring, including pulse oximetry, is the current diagnostic standard in sleep medicine. However, potentially confounding aspects of PSG testing include: test site other than the subject’s normal bed, distracting sensors and wires, subjective interpretation of complex recorded signals, and limited sensitivity to relevant phenomena. There is currently an unmet need for a sleep test that is more clinically effective than PSG, and that can be administered in the subject’s normal sleeping environment. Additionally, confirmation that home therapy has been optimized cannot be achieved by PSG titration.

Methods
A recent proof of concept (POC) study of the armband-wearable Reveal Cellular Energy Monitor (CE monitor) directly compared its data product, Cellular Energy Index (CEi), with PSG data. Scoring methods were adapted from AASM guidance for interpretation of PSG data. At-home recording with the CE monitor was also performed prior to and following PSG studies. At-home incremental adjustment of APAP settings and mask selection was documented with CE monitoring and compared with the information recorded by the home APAP machine.

Results
The comparison of the POC data consistently found the CE monitor to be more sensitive and responsive to hypoxic stress than the PSG pulse oximeter during primary snoring. Obstructive and central apnea events were detected by both, but the CE monitor provided finer resolution of the breath-by-breath effort of breathing compared with PSG RIP and nasal sensors. At-home CE monitor optimization of therapy was documented to often differ from the settings and mask selection determined by PSG titration, and resulted in ‘normal’ sleep breathing data.

Conclusion
All diagnostically-relevant physiologic responses detected by PSG were also detected by the CE monitor. Evidence of cellular hypoxia in the skin, by CE monitor, was consistently recorded during prolonged periods of ‘primary snoring;’ i.e., SpO2 is less sensitive to hypoxic stress during sleep than CEi. Breath-by-breath effort is detected by the CE monitor.

Support (if any)
The POC study costs at UCSF were paid by Reveal Biosensors, Inc.