bluuebunny/crossref_metadata_2025 huggingface dataset:
0291 Recovery Sleep Alleviates Mood Disturbance Following Chronic Sleep Restriction, Albeit Transiently and in a Dose-Dependent Manner
Authors: Mange A , Jones C W , Kaizi-Lutu M , Basner M , Dinges D F
Published: May 2020

Introduction

Fatigue is one contributor to mood disturbance observed following sleep restriction; however, the contribution of other factors remains unclear. This study examined contributions to mood disturbance resulting from sleep restriction beyond that of fatigue, evaluated the benefit of recovery sleep, and assessed whether recovery sleep buffered the re-emergence of mood disturbance upon re-exposure to sleep restriction.

Methods

N=223 healthy participants (48% female; n=108) approximately 30-years-old (SD=6.89, range=22–45 years) completed two baseline nights of 8h time in bed (TIB), followed by five nights of 4h TIB, and were then then randomized to one of 7 sleep recovery opportunities (i.e., 0, 2, 4, 6, 8, 10, or 12 hours TIB). Following the sleep period, a subset of participants (n=72) were re-exposed to five consecutive nights of 4h TIB. The profile of mood states (POMS) was completed every 2h during wakefulness and daily averages were calculated. The POMS total mood disturbance (TMD) score without the fatigue subscale (i.e., mood disturbance = TMD - fatigue) was the primary outcome to isolate changes in mood disturbance beyond fatigue. Individual growth curve models were applied to the trajectory of mood disturbance. General linear models were used to evaluate the dose-response function of mood disturbance after recovery sleep.

Results

Mood disturbance (absent the POMS fatigue scale) increased with each day of sleep restriction (β=1.550 per day; P<0.0001), and decreased with longer recovery sleep durations in a dose-dependent manner (β=-1.614 for every 2h increase; P<0.0001). The benefits of recovery sleep were abated by the second night of 4h sleep during re-exposure, where mood disturbance was slightly higher than that observed before recovery, but this difference was not statistically significant (β=0.046; P=0.85).

Conclusion

The study findings suggest that fatigue is not the only contributor to mood disturbance following sleep restriction. Recovery sleep attenuates mood disturbance in a dose-dependent manner, albeit transiently. Candidate pathways linking sleep restriction and mood include the immune system and the dynamics of sleep physiology.

Support

This work was funded by National Institute of Health NIH R01NR004281 and National Space and Biomedical Research Institute NSRBI NCC 5–98.
0303 Heart Rate and Systolic Blood Pressure Increase During Experimental Sleep Restriction
Authors: Reichenberger D A , Strayer S M , Mathew G M , Buxton O M , Chang A
Published: May 2020

Introduction

Experimental sleep restriction is associated with elevated daytime cardiac activity, including heart rate (HR) and blood pressure (BP). However, some studies have found changes in systolic (SBP) but not diastolic blood pressure (DBP) or found changes in neither. Although findings are mixed, there may be a dose-response effect of cumulative sleep loss on daytime cardiac activity, such that HR and BP increase above basal levels with additional nights of insufficient sleep. This study examined changes in cardiac activity during experimental sleep restriction.

Methods

We used multilevel models with random effects for individuals to analyze data from 15 healthy males (M=22.3 years old, SD=2.8) in an 11-day inpatient protocol consisting of three nights of 10-hour/night baseline sleep opportunity, five nights of sleep restriction (5-hour/night sleep opportunity), and then two recovery nights (10-hour/night sleep opportunity). HR and BP were measured approximately every two hours during wake.

Results

HR increased 0.75 beats/minute with each successive night of sleep restriction (SE=0.18, p<0.001). HR was 5.13 beats/minute higher during the recovery condition than during baseline or sleep restriction (SE=1.05, p<0.001). During sleep restriction only, HR was lower in the later morning and evening compared to the earliest morning timepoint of the day, F(10, 743)=10.44, p<0.001. SBP increased 0.33 mmHg following each successive night of sleep restriction (SE=0.16, p=0.041); however, SBP was only marginally higher during the sleep restriction condition than during baseline (b=1.90, SE=1.09, p=0.082).

Conclusion

Our findings suggest that HR and SBP increase with each additional day of experimental sleep restriction, even after accounting for diurnal effects on HR and SBP. HR did not recover to baseline levels following a night of recovery sleep, suggesting that longer recovery sleep may be necessary to recover from a week of sleep restriction.

Support

Grant UL1TR000127 (Chang PI), Clinical and Translational Science Institute; College of Health and Human Development at Pennsylvania State University.
0304 Greater Slow-Wave Activity is Associated with Deteriorating Mood Across Sleep Restriction
Authors: Larson O R , Jones C W , Basner M , Dinges D F
Published: May 2020

Introduction

Mood progressively deteriorates over consecutive days of sleep restriction. The neurobiological processes active during sleep that influence the risk of mood disturbance are unknown. This study investigated the relationships between physiological sleep parameters (i.e., slow-wave activity (SWA), slow-wave energy (SWE), rapid eye-movement (REM) sleep duration and latency), and self-reported measures of mood across sleep restriction.

Methods

N=181 healthy participants (48.1% female; 30±6.8 yrs) had valid polysomnography (PSG) and mood data. The study design included two baseline nights (8h time in bed [TIB]) followed by five nights of 4h TIB. PSG (EEG derivations C3-A2, Fz-A1, O2-A1) was collected on the second baseline night (B2), first night of 4h TIB (SR1), and the fifth night of 4h TIB (SR5). The Profile of Mood States was assayed on days following PSG. Power spectral analysis for SWE and SWA was conducted (delta power; band: 0.5-4.5 Hz). General linear regression models were used to independently assess the slope of SWE, SWA, percent REM of total sleep time (TST), and REM latency on mood disturbance across sleep restriction.

Results

At baseline, higher SWE (unadjusted; r=0.21; P=0.004) and SWA (unadjusted; r=0.19; P=0.007) were associated with greater mood disturbance; these relations were attenuated when adjusted for age and sex. No relation was found between mood and REM latency or REM percent of TST. The slope of mood disturbance from B2 to SR5 was associated with greater percentage increases in C3 SWA on SR5 relative to B2 (β=0.039; P=0.008); this association was not observed for SWE (β=-0.016; P=0.48). The slope of REM latency and REM percent of TST were not associated with the slope of mood disturbance.

Conclusion

Our results indicate that greater SWA due to sleep restriction was associated with greater mood disturbance, suggesting that less SWA may confer resilience to mood disturbances resulting from sleep restriction.

Support

This work was supported by National Institute of Health NIH R01NR004281 and National Space and Biomedical Research Institute NSRBI NCC 5-98.
0316 Emotion Regulation During Sleep Deprivation and Repeated Physiological Stress: Implications for Motor Skill Learning and Production
Authors: LaFollette K , Satterfield B C , Esbit S , Lazar M , Grandner M A , Killgore W D
Published: May 2020

Introduction

The ability to perform learned motor procedures under stress is a critical skill for many high-risk occupations. Explicit motor skills require top-down cognitive control, which both sleep loss and stress have been found to produce significant degradations, whereas implicit skills rely less on cognitive control and are more resilient to physiological stress. We investigated whether differences in emotion regulation attenuated the effects of sleep deprivation (SD) and acute stress on discrete motor learning.

Methods

45 adults (21 F; 22 ± 3.4 years) participated in 28-hours of in-lab SD. Participants completed repeated batteries that included the Maastricht Acute Stress Test (MAST) Karolinska Sleepiness Scale (KSS), Psychomotor Vigilance Test (PVT), and Discrete Sequence Production Task (DSP). Stress response was quantified by salivary cortisol. We quantified DSP motor performance by total accurate sequences, and average movement time on accurate trials. Ability emotional intelligence (EI) was measured with the MSCEIT, while trait EI was measured with the Bar-On EQI. The CD-RISC was included as a measure of resilience.

Results

Using linear mixed effects models of motor performance indices, we found subjective, trait-based emotional intelligence (EQI) to be associated with worse motor performance over time, and objective, ability-based emotional intelligence (MSCEIT) to be associated with greater movement speed. We further found that greater psychological resilience (CD-RISC) but not emotional intelligence was predictive of stronger and less variable chunking structures during SD.

Conclusion

Emotional intelligence can influence motor learning under stressful SD, whereas psychological resilience can safeguard learning. Future work should further investigate how trait and ability metrics of EI have opposing effects on responses to stress under SD. Work in this direction could serve to identify difference factors that bolster motor skill production in operational environments where stress and SD are unavoidable.

Support

US Army Medical Research and Development Command: W81XWH-17-C-0088
0322 Napping, Inhibitory Control, and Self-Regulation in 2-Year-Old Children
Authors: Shalowitz E L , Miller A M , Harsh J R , LeBourgeois M K
Published: May 2020

Introduction

Poor sleep in early childhood is linked to reduced school readiness. This study examined the role of acute sleep loss in behavioral self-regulation using a delay of gratification task. We hypothesized that after acute nap deprivation, toddlers would have worse inhibitory control and resort to more maladaptive self-regulation strategies than after a nap.

Methods

25 healthy children (11 males, 34.1±2.3 months-old) followed a strict sleep schedule for ≥5 days before a baseline (nap) and an acute nap deprivation condition (no-nap). After being introduced to an age-appropriate toy, children were instructed not to touch the toy and left alone for 3-minutes. To assess inhibitory control, videos of the waiting period were behaviorally coded for latency to touch and 11 self-regulation strategies. We combined strategies into adaptive and maladaptive composites; higher scores on each composite indicated greater use.

Results

During the nap condition, 19 children touched the toy (latency to touch=70.0±60.7 sec); during the no-nap condition, 18 children touched the toy (latency to touch=65.4±71.6 sec). The adaptive composite score was 1.58±0.25 for the nap condition and 1.17±0.27 for the no-nap condition. The maladaptive score was 0.92±0.17 for the nap condition and 0.83±0.19 for the no-nap condition. We found no differences between conditions in the number of children who touched the toy (X2=0, p=0.50), mean latency to touch (t=0.27, p=0.39), or the composite scores of adaptive (z=0.35, p=0.12) and maladaptive strategies (z=0.09, p=0.69).

Conclusion

Findings indicate that acute nap deprivation may not have an immediate impact on inhibitory control and self-regulation in toddlers. 30-36 months old children may not have sufficient cognitive resources to exert inhibitory control and self-regulate whether or not they have obtained adequate daytime sleep. Future research should examine developmental changes in the effects of acute sleep restriction on behavioral self-regulation.

Support

Research support from NIH R01-MH086566 to MKL.
0323 Associations Between Sleep and Activity Patterns in the Mother-Child Dyad
Authors: Driscoll B J , Quattrucci J , Sharkey K M
Published: May 2020

Introduction

Animal studies show links between light-dark patterns in gestating dams and offsprings’ sleep and circadian rhythms. Activity patterns between mothers and infants show synchrony as early as 12 weeks postpartum. Our goal was to investigate maternal sleep/activity patterns at two points in the perinatal period and assess associations with activity in their young children.

Methods

Participants were 20 mother-child dyads recruited from previous studies. Mothers (age±SD = 31.7±5.5 years, range 21-40 years) wore wrist actigraphs during their 33rd week of pregnancy and 2nd week postpartum. Children (age±SD = 2.13±1.36 years, range 8 months-4.6 years) were assessed for 5 days and nights. Circadian patterns were analyzed using Maximum Entropy Spectral Analysis (MESA) to estimate best-fitting circadian period, tau. We used cosinor analysis to calculate rhythm amplitude, Midline Statistic of Rhythm (MESOR, representing mean activity), and acrophase (time of peak amplitude). We used circadian quotient (CQ; amplitude÷MESOR) to assess rhythm strength while normalizing for intersubject variation in activity levels. Autocorrelation, or degree to which data is consistent for a particular period, was calculated to analyze regularity of activity patterns.

Results

Mothers’ activity pattern autocorrelation was significantly correlated at the two time points (r=.530, p=.016), such that women with inconsistent activity patterns in pregnancy also demonstrated more irregularity at postpartum week 2. Child CQ correlated with age, with older children showing greater rhythm strength (r=.530, p=0.016). We observed a moderate correlation between mothers’ CQs during pregnancy and children’s CQs (r=.413,p=.07). In mother-child dyads, longer tau in mothers during pregnancy predicted lower autocorrelation of the child’s rhythm to a 24-hr period (r=-.520, p=.019). Finally, later maternal acrophase at postpartum week 2 was associated with longer tau in children (r=.504, p=.024).

Conclusion

These data show that associations between mother-child sleep/activity patterns may begin during pregnancy and support the notion that mothers’ perinatal sleep patterns could affect the health of both mothers and their children.

Support

Supported by R34MH104377, K23MH086689, the Seleni Institute, the Depression and Bipolar Disorder Alternative Treatment Foundation, and a Karen T. Romer Undergraduate Teaching and Research Award from Brown University.
0338 Interactions Between Sleep, Stress Reactivity and Cognition in Early Childhood
Authors: Jablin T , LeBourgeois M K , Harsh J , Brown S
Published: May 2020

Introduction

During early childhood, sleep impacts the development of the cognitive, behavioral and stress systems. Specifically, acute sleep restriction reduces the subsequent cortisol awakening response, predicts self-regulation strategies and moderates correlations between self-regulation strategies and response inhibition. However, little is known about the interaction between sleep, stress reactivity and cognition in early childhood. This preliminary cross over study aimed to determine how acute sleep restriction moderates the relationship between stress reactivity and cognition in 4-year-olds.

Methods

Healthy children (N=17; 57.4 months +/- 2.1; 10 female) participated in a sleep restriction protocol that included counterbalanced cognitive and behavioral assessments during baseline and sleep restriction conditions. An age appropriate inhibitory control task was administered and salivary cortisol samples (N=6) were collected during the task. Mean processing speed was measured, and stress reactivity was computed as area under the curve with respect to ground (AUCg).

Results

Two tailed correlation analyses were performed to examine the relationship between AUCg and mean processing speed. Under baseline conditions, AUCg and mean processing speed were positively associated (r=0.45; p=0.05). When children were sleep restricted, there was no association between AUCg and mean processing speed (r=0.05; p=0.83). Although not statistically significant, AUCg was predicted by an interaciton between sleep condition and mean processing speed B=-1.92; p=0.06).

Conclusion

These results suggest that healthy sleep may promote the coupling of stress and cognitive systems, which is likely adaptive when facing life’s challenges in early childhood. Examining the developmental trajectory of these interactions and incorporating individual difference factors will build upon this model that may eventually be applied in intervention approaches to sleep, stress and behavioral problems in preschool-aged children.

Support

NIH R01-MH086566 to Dr. Monique LeBourgeois
0346 Metabolic Aging and Sleep Loss: Metabolite Signatures Link Sleep Deprivation and Aging Across Tissues
Authors: Sengupta A , Tudor J C , Cusmano D , Baur J A , Abel T , Weljie A
Published: May 2020

Introduction

Insufficient sleep is a hallmark of modern society, and sleep deprivation (SD) is a risk factor for neurodegenerative and cardiometabolic disorders. The interactions of aging with systemic and local metabolic alterations induced by sleep deprivation are essentially unexplored. In this study, we demonstrate a shared metabolic imprint of SD and aging in plasma, liver, and hippocampus.

Methods

Young (2 - 4 months) and aged (22 - 24 months) mice were sleep deprived (N = 10/group) for 5 hours followed by collection of blood plasma, liver and hippocampus. The samples were extracted and subjected to UPLC-MS/MS based targeted metabolomics analysis.

Results

Young animals displayed greater sensitivity to SD induced metabolic changes with >40% more metabolites perturbed in each sample type measured compared to aged animals. Enrichment analysis based on known disease-associated metabolites suggests that plasma change in young animals are of pathological relevance, but not in aged animals. A common hepatic signature of sleep-loss across the two age groups consisted of ketosis and urea cycle perturbation. Approximately 20-30% of measured metabolites exhibit similar changes when the sleep deprivation induced signature is compared with the aging metabolic imprint in a tissue-dependent manner. Central energetics, urea cycle and aromatic amino acid metabolism highlight the common pathways altered by sleep and aging in the periphery. In the hippocampus, choline and acetylcholine pools were depleted, potentially providing insight into the changes in metabolism that accompany analogous defects in memory consolidation.

Conclusion

These results support the notion that SD makes the ‘young seem old’. The results further connect neurobehavioral observations tying together aging and sleep loss, by implicating molecular mechanisms at the level of metabolism.

Support

This work was supported by NIH grant R21AG052905 (AMW, AS), P50AG017628 (TA; A.I. Pack, PI) and R01AG062398 (TA, JT). TA was supported by the Brush Family Chair in Biology at Penn and is currently supported by the Roy J. Carver Chair of Neuroscience at Iowa.
0347 Aging and Retirement are Independently Associated with Reduced Social Jetlag
Authors: Sprecher K E , Hagen E W , Ravelo L A , Barnet J H , Peppard P E
Published: May 2020

Introduction

Social jetlag (SJL; difference in sleep timing on freedays versus workdays) is a measure of chronic circadian misalignment due to a mismatch between preferred biological sleep timing and societal scheduling demands. Cross-sectionally, greater SJL is associated with poorer health and younger age. We assessed longitudinal changes in SJL across aging and retirement.

Methods

In 1137 participants of the Wisconsin Sleep Cohort (WSC), sleep timing was collected via sleep diaries every 4 years (2802 data points, 47% female, mean age 51 years at baseline (+/-8 SD, range 31 - 74)). In 829 participants of the Retirement and Sleep Trajectories study (REST, an ancillary study of the WSC), sleep timing and retirement status were collected in 4 annual mailed surveys (1700 data points, 55% female, mean age 59 years at baseline (range 46-81)). Midsleep was defined as the time midway between bedtime and waketime. SJL was defined as the absolute difference between midsleep on workdays/weekdays and freedays/weekends. Mixed models were used to test associations of change in sleep timing with change in age, retirement status and self-reported health.

Results

In the WSC, aging 10 years was associated with 16 minutes reduction in SJL (p<.001), driven by a shift of midsleep to 7 minutes later on weekdays and 10 minutes earlier on weekends. The effect of age on SJL remained significant when tested only in employed people. In the REST study, the transition from full time employment to full time retirement was associated with ~ 1 hour shorter SJL, maintained 1, 2 and 3 years post-transition (p<.001, controlling for age). Greater SJL was associated with worse self-rated health (p=.02).

Conclusion

Aging and the transition from employment to retirement are independently associated with reduced social jetlag. Greater social jetlag is associated with poorer self-reported health.

Support

This study was supported by grants from the National Institutes of Health (NIH): R01HL62252, R01AG036838, R01AG058680, and 1UL1RR02501.
0361 Birthplace Moderates Racial/Ethnic Disparities in Multiple Sleep Characteristics Among Non-Hispanic Whites and Hispanic/Latino Heritage Groups in the United States
Authors: Gaston S A , Martinez-Miller E E , Nguyen-Rodriguez S , Aiello A , McGrath J , Jackson W , Nápoles A , Pérez-Stable E J , Jackson C L
Published: May 2020

Introduction

Sleep duration disparities by Hispanic/Latino heritage exist; however, few studies have additionally investigated sleep quality disparities by heritage and birthplace, nor have studies compared foreign-born to US-born Non-Hispanic Whites (NHWs).

Methods

Using pooled 2004-2017 National Health Interview Survey data, we investigated whether sleep disparities varied by birthplace among adult NHWs and Hispanic/Latino heritage groups. Adjusting for sociodemographic and behavioral/clinical characteristics, survey-weighted Poisson regressions with robust variance estimated prevalence ratios (PRs) and 95% confidence intervals (CIs) of self-reported sleep characteristics. Sleep characteristics were compared among foreign-born NHWs and Hispanic/Latino heritage groups vs. US-born NHWs. Sleep characteristics were also compared across Hispanic/Latino heritage groups vs. foreign-born NHWs.

Results

Among 254,699 participants (Meanage±SE: 47±0.9 years; 49% female), 81% self-identified as NHW (n=207,154), 12% Mexican (n=30,100), 2% Puerto Rican n=5,077), 1% Cuban(n=2,518), 1% Dominican (n=1,658), and 3% Central/South American (n=8,162). Compared to US-born NHWs, foreign-born NHWs were more likely to report >9-hours sleep duration (PR=1.11[95% CI: 1.01-1.21]) and poor sleep quality (e.g., PRtrouble staying asleep=1.27[1.17-1.37]), and US-born Mexicans were no more likely to report shorter sleep duration while foreign-born Mexicans were less likely (PR<6-hours=0.52[0.47-0.57], PR6-<7-hours=0.72[0.68-0.76]). Although US-born and foreign-born Mexicans had lower prevalence of poor sleep quality compared to US-born NHWs, PRs were lowest for foreign-born Mexicans. Compared to foreign-born NHWs, US-born Mexicans were more likely to report shorter sleep duration, but foreign-born Mexicans were no more likely. Regardless of birthplace, Puerto Ricans were more likely (e.g., PR<6-hours=1.37[1.24-1.60]) and Cubans were less likely (e.g., PR<6-hours=0.81[0.68-0.96]) to report shorter sleep duration vs. US-born NHWs. Compared to US-born NHWs, Dominicans reported better sleep duration and quality. Sleep duration and quality did not differ among Dominicans vs. foreign-born NHWs.

Conclusion

Sleep disparities varied by birthplace and Hispanic/Latino heritage. Birthplace of both NHWs and racial/ethnic minority groups should be considered in disparities research.

Support

This work was funded by the Intramural Program at the National Institutes of Health (NIH), National Institute of Environmental Health Sciences (NIEHS, Z1AES103325-01) and the Division of Intramural Research, National Institute on Minority Health and Health Disparities.
0364 Sex and Race Influence Objective and Self-Report Sleep and Circadian Measures in Emerging Adults at Risk for Bipolar Spectrum Disorder
Authors: Titone M K , McArthur B , Ng T H , Burke T A , McLaughlin L E , MacMullen L E , Alloy L B , Goel N
Published: May 2020

Introduction

There is a critical need to understand key factors that impact sleep and circadian rhythm function for emerging adults at risk for bipolar spectrum disorder (BSD). Sex and race are common demographic factors contributing to differences in health outcomes; however, the influence of these variables on sleep and circadian rhythm patterns for emerging adults at risk for BSD has not been characterized.

Methods

Multiple objective and self-report facets of sleep and circadian function, including dim light melatonin onset (DLMO), and measures derived from actigraphy and sleep diaries, were assessed in a 20-day ecological momentary assessment (EMA) study of 150 emerging adults (mean ± SD, 21.8 ± 2.1y; 58.7% female; 57.9% White, 23.4% Black, 10.3% Asian or Pacific Islander, 8.0% Other ethnicity) at-risk for BSD. Bivariate Pearson correlations (two-tailed, p <.05) were conducted between the sleep and circadian measures. ANCOVAs, controlling for BSD status, were conducted to evaluate differences on sleep and circadian characteristics by sex and race.

Results

Males exhibited better actigraphic sleep efficiency and later DLMO phase than females, whereas females exhibited more actigraphic discrete sleep periods. White participants exhibited more actigraphy-measured total sleep time, better sleep efficiency, and fewer sleep periods, and self-reported more total sleep time and better sleep efficiency than Black participants.

Conclusion

We show for the first time that sex and race are significant predictors of objective and self-reported sleep and circadian rhythm measures in a large sample of emerging adults at risk for BSD participating in an EMA study. Our findings extend the existing literature to a novel clinical population and to a naturalistic setting and inform ongoing research on sex and racial health disparities in sleep and circadian rhythms.

Support

This work was supported by NIH R01 MH77908 and R01 MH102310; a Banting Postdoctoral Fellowship from the Social Sciences and Humanities Research Council; and a National Science Foundation Graduate Student Research Fellowship.
0367 Social Determinants of Black-White Disparities in the Work-Sleep Relationship by Occupational Class: A Sequential Mixed Methods Approach
Authors: Jackson C L , Wright I , Winful O T , Feinstein L , Adams I
Published: May 2020

Introduction

Although Black adults disproportionately work in lower-wage, lower-skilled jobs and experience short sleep (<7 hours), which has been shown to vary by employment industry and occupation, there is scant literature regarding the influence of the work-sleep relationship on racial/ethnic sleep disparities. Our prior quantitative research based on nationally-representative data revealed a novel finding that the prevalence of short sleep was generally highest at professional occupational classes among Black adults but was the least prevalent among their White counterparts.

Methods

To identify reasons for short sleep generally increasing with increasing professional occupations among blacks but decreasing among whites, we conducted a qualitative study using a sequential mixed methods design among Black and White workers across a range of industries and occupations. Occupations were classified as “professional” (e.g., doctors; lawyers) or “non-professional” (e.g., retail; food service). Race-matched trained facilitators conducted 36 focus groups that were homogenous in terms of race-sex/gender-occupational class and 63 one-on-one interviews (N=334 overall participants) using semi-structured interview guides. NVivo software was used to identify themes/patterns.

Results

Participants were a mean age of 41 ± 11 years, 42% were men, 58% had an annual income of ≥$50,000, and 57% were professionals. Black professionals overwhelmingly described less informational and emotional support as well as needing to “work twice as hard to get half as far” (i.e., John Henryism) compared to coworkers as potential explanations for work-sleep disparities. Both Black and White professionals identified longstanding social structures, interpersonal discrimination, income disparities, and familial or self-imposed pressures to succeed. White professional women frequently reported experiences with gender discrimination, which - they reported - may intersect with and amplify the effects of racial discrimination among Black women. Regardless of occupational class, Black men additionally described unique stressors (e.g., political climate; finances; police). White men frequently avoided discussing disparities, and the existence of disparities was often denied/questioned by non-professionals across race and sex/gender.

Conclusion

Our findings inform future research and interventions designed to illuminate and/or address sleep disparities emanating from the workplace.

Support

This work was funded by the Intramural Program at the National Institute of Environmental Health Sciences (Z1AES103325-01).
0390 Associations of the Neighborhood Built Environment with Adolescent Sleep Outcomes
Authors: Mayne S , Morales K , Williamson A A , Grant S F , Fiks A G , Dinges D F , Zemel B , Mitchell J A
Published: May 2020

Introduction

Over 75% of U.S. high school students obtain insufficient amounts of sleep. Identification of modifiable environmental determinants of adolescent sleep is needed to inform interventions and public health strategies, yet little is known about the influence of the built environment on adolescent sleep. We examined associations of the built environment with objectively-measured adolescent sleep outcomes.

Methods

In this longitudinal, prospective study, we used actigraphy to assess sleep outcomes for 14 days each in 8th grade and 9th grade: duration (hours/night), onset (hours from 00:00), offset (hours from 00:00), and sleeping >8 hours. Home addresses were linked to built environment exposures based on half-mile Euclidian buffers (overall/human-made sound levels, percent tree canopy cover, street density, intersection density) and census block group (population density, housing density). Mixed-effects linear (sleep duration, onset, offset) and logistic (>8 hours) regression estimated associations of each built environment measure with sleep outcomes, adjusting for sex, race, parent education, household income, grade and weeknight status (school or non-school night).

Results

Among 108 adolescents - 53% female and 25% Black - providing 2,388 nights of sleep data across 8th and 9th grades, a 1-standard deviation increase in neighborhood sound (overall and human-made) associated with 11 minutes later sleep onset (β=0.19; 95% CI: 0.01, 0.38) and 20% lower odds of sleeping for >8 hours (OR=0.80, 95% CI: 0.62, 1.02). A 1-standard deviation increase in neighborhood tree canopy cover associated with 11 minutes earlier sleep onset (β= -0.19, 95% CI: -0.35, -0.03) and 7 minutes earlier sleep offset (β= -0.12, 95% CI: -0.23, -0.02). No associations were observed for “density based” exposures.

Conclusion

Higher tree canopy cover associated with more favorable sleep timing while higher neighborhood sound level associated with later timing of sleep onset. These modifiable neighborhood built environment factors should be considered when intervening to support healthier sleep among adolescents.

Support

NIH/NHLBI K01HL123612 (JM) and Sleep Research Society Foundation and K23HD094905 (AAW)
0392 The Effect of Benzodiazepine Use on Non-REM Sleep Instability in Community-Dwelling Older Men
Authors: Hartmann S , Baumert M
Published: May 2020

Introduction

Previous studies on the implications of benzodiazepine (BZD), a widely prescribed pharmacotherapeutic treatment method for sleep insomnia, on sleep architecture demonstrated significantly reduced EEG activity in low-frequency bands. In this study, we explore the effect of BZD on NREM sleep instability also known as cyclic alternating pattern (CAP) in community-dwelling older men.

Methods

CAP was scored in overnight EEG recordings from 30 older men on long-acting BZD (LBZD), 35 older men on short-acting BZD (SBZD), and 50 age-matched men who did not use BZD (NBZD), participating in the Osteoporotic Fractures in Men Sleep Study (MrOS sleep). A high performance automated detection system determined the ratio between CAP time and NREM sleep time (CAP rate), the number of A1-phases per hour of NREM sleep (A1 index), and the number of A2+A3-phases per hour of NREM sleep (A2+A3 index). The relationship between CAP parameters and BZD use was determined using the Kruskal-Wallis test by ranks with Bonferroni correction for post-hoc analysis.

Results

CAP rate was significantly decreased in older men using long-acting BZD (NBZD: 59.6±18.0%, LBZD: 46.9±13.1%, SBZD: 53.0±20.1%) as compared to non-BZD user (p < 0.01). All BZD users demonstrated significantly lower frequencies of A1-phases (NBZD: 19.9±23.0 no./h, LBZD: 6.9±13.3 no./h, SBZD: 4.5±9.9 no./h) as compared to non-BZD users (LBZD: p < 0.01, SBZD: p < 0.001). The A2+A3 index did not show any variations between the three groups.

Conclusion

Older men using long-acting BZD demonstrate a significantly reduced CAP rate during sleep, particularly less frequent A1-phases, compared to the control group. Moreover, short-acting BZD user show significantly less frequent A1-phases but no difference in CAP rate and A2+A3-phases than older men using no BZD. Hence, BZD usage has a major adverse effect on the occurrence of EEG slow waves.

Support

The National Heart, Lung, and Blood Institute (NHLBI) provides funding for the MrOS Sleep ancillary study “Outcomes of Sleep Disorders in Older Men” under the following grant numbers: R01 HL071194, R01 HL070848, R01 HL070847, R01 HL070842, R01 HL070841, R01 HL070837, R01 HL070838, and R01 HL070839.
0399 The MSSA: A Novel Instrument to Assess Sleep and Sleep Disturbances in Military Men and Women
Authors: Gerwell K , Pruiksma K E , Brock M S , Peterson A L , Carrizales F A , Brundige A , Taylor D J , Vanecek R , Hansen S , Foster S N , Young-McCaughan S , Straud C L , Mysliwiec V
Published: May 2020

Introduction

Military personnel experience unique stressors (e.g., deployments, shift work, family separation) which can cause sleep disturbances. However, little is known regarding the general sleep quality of military personnel and how it changes throughout their service, what types of stressors precipitate sleep disturbances, and how this differs among military men and women. We present findings from a new self-report measure, the Military Service Sleep Assessment (MSSA), which was designed to assess (1) current primary problems with sleep, (2) sleep quality throughout military service (3) life events that may have impacted their sleep and (4) the specific events which most effected sleep.

Methods

A total of 69 military personnel (22 women and 47 men) completed the MSSA and 49 also completed a diagnostic polysomnogram (PSG). Chi-square tests were run to differences in responses between men and women.

Results

No significant differences were found between men and women. In general, sleep quality progressively decreased over a participant’s military career from 3 to 2 on a 5-point Likert scale (1=low, 5=high). For those with at least one deployment (n=52), 73% reported that deployment and 54% reported that a redeployment (return from deployment) negatively impacted sleep quality for 3 months. Women reported that permanent change of station (PCS) negatively impacted their sleep more frequently than men (36% vs. 28%). The reported events that most significantly impacted sleep quality were deployment, military service other than deployment and trauma.

Conclusion

The MSSA is a novel instrument that can be used to increase understanding of sleep disturbances in military men and women which can inform prevention and treatment strategies. This measure is being used to systematically evaluate the factors which may precipitate or perpetuate sleep disturbances in military men and women such as military service-associated factors, training, deployment history, changing stations, and exposure to trauma or other stressful life events.

Support

This study is supported by the Defense Health Agency, Defense Medical Research and Development Program, Clinical Research Intramural Initiative for Military Women’s Health.
0408 Myths About Infant, Child, and Adolescent Sleep: Addressing False Beliefs That Hinder Sleep Health During These Crucial Developmental Stages
Authors: Robbins R , Hale L , Beebe D , Wolfson A R , Grandner M A , Mindell J A , Owens J , Tapia I , Byars K C , Gruber R , Montgomery-Downs H , Wise M , Carskadon M A
Published: May 2020

Introduction

Sleep is vital for healthy development from infancy through adolescence. Despite its importance, false beliefs that conflict with scientific evidence (myths) may be common among caregivers and impair sleep health during these crucial stages.

Methods

Researchers compiled a list of potential myth statements using internet searches of popular press and scientific literature. We utilized a Delphi process with experts (n=12) from the fields of pediatric, sleep, and circadian research and clinical practice. Selection and refinement of myths by sleep experts proceeded in three phases, including: focus groups (Phase 1); email-based feedback to edit, add, or remove myths (Phase 2); and closed-ended questionnaires (Phase 3) where experts rated myths on two dimensions: (1) falseness and (2) public health significance using 5-point Likert scale: 1 (“not at all”) to 5 (“extremely false/important”).

Results

Thirty-two sleep myths were identified across three developmental categories: infant (14 myths), child (6 myths), and adolescent (12 myths). Mean expert ratings illuminated the most pressing myths in each developmental category: infant sleep (“Sleep training causes psychological harm, including reduced parent-child attachment:” falseness =4.7, s.d.=0.7; public health significance=4.0, s.d.=1.1); child sleep (“Heavy, loud snoring for my child means he’s sleeping deeply:” falseness=4.8, s.d.=0.6; public health significance=4.7, s.d.=0.7), and teenager sleep (“Falling asleep in class means your teenager is lazy and not motivated:” falseness=4.8, s.d.=0.5; public health significance=4.3, s.d.=0.8).

Conclusion

The current study identified commonly-held myths about infant, child, and adolescent sleep that are not supported by (or worse, counter to) scientific evidence. If unchecked, these myths may hinder sleep at a critical developmental stage. Future research may include public health education to correct myths and promote healthy sleep among infants, children, and teenagers.

Support

5T32HL007901
0426 Time Restricted Feeding Consolidates Sleep in the BACHD Mouse Model of Huntington’s Disease
Authors: Nichols I S , Chiem E , Tahara Y , Anderson S , Trotter D , Whittaker D , Ghiani C , Colwell C , Paul K
Published: May 2020

Introduction

Disturbances in the daily sleep-wake cycle are common in individuals with neurodegenerative disorders. Huntington’s disease (HD) is a genetic neurodegenerative disorder in which patients exhibit a variety of impairments that include, poor motor function, disrupted circadian rhythms, and sleep abnormalities such as difficulty initiating sleep at bedtime and more frequent nighttime arousals. In the BACHD mouse model time restricted feeding (TRF) has been successful at improving motor functions and circadian rhythms. The BACHD mouse model has a bacterial artificial chromosome that expresses the full-length human mutant huntingtin gene.

Methods

In order to determine the effects of TRF on sleep-wake architecture, EEG/EMG polysomnographic records were examined in mice between 3-4 months old bearing the BAC knock-in of a human genetic mutation of HD and WT litter mates, first during ad libitum (ad lib) feeding then during an 18 hour fasting protocol. TRF protocol consisted of 6 hours of food access limited between ZT15-ZT21 and 18 hours of fasting.

Results

A two-way ANOVA revealed that TRF significantly decreased the amount of total sleep (p=0.04) and NREM sleep (p=0.04) in the dark phase in both WT and BACHD mice. TRF did not significantly affect sleep in the light phase, however trends suggest that BACHD mice have more sleep in the light phase under TRF than ad lib.

Conclusion

This data suggests that TRF improves sleep by consolidating sleep to the light phase and wake to the dark phase. In conclusion, TRF may be a promising tool that can improve the negative effects of neurodegenerative diseases on sleep-wake processes.

Support

These experiments were supported by R01-NS078410 and UCLA start-up funds.
0430 Meta-Analysis on the Effects of Caffeine on Neurodegenerative Cognitive Decline
Authors: Taylor E , Killgore W D
Published: May 2020

Introduction

Mild cognitive impairment (MCI), Alzheimer’s disease (AD), and dementia are common forms of neurodegenerative cognitive decline in aging populations. Alertness, attention, and sleep patterns are often impaired in dementia and MCI and can affect ongoing cognition. Given the current lack of treatment options, it is important to identify protective factors. Caffeine is a commonly consumed substance which has been demonstrated in previous observational studies to have a protective effect on the onset of MCI and the progression of MCI to AD.

Methods

A meta-analysis of longitudinal prospective cohort studies published up to December 2017 was conducted comparing highest vs lowest reported category of caffeine consumption on neurodegenerative outcomes. Three databases were searched including PubMed, EMBASE, and Web of Science. Two investigators independently extracted data and assessed study quality. 13 studies were selected including 94880 participants. The effect size was reported as RRs with ORs and HRs treated as approximations of the RRs.

Results

A meta-analysis conducted using random effects showed a pooled RR of .84, 95% CI (0.75, 0.93) indicating a moderate protective effect in higher levels of caffeine consumption compared to lower levels. By outcome, AD had a RR of 1.14 with 95% CI (0.69, 1.90); dementia had a RR of 0.81 (0.72, 0.92); cognitive decline had a RR of 0.81 (0.55, 1.18); and MCI had a RR of 0.78 (0.65, 0.93).

Conclusion

Overall this meta-analysis suggests that compared with the lowest category, the highest caffeine intake category is inversely related to the incidence of age-related cognitive disorders, with this relationship being most apparent for dementia and MCI. Given that caffeine is well accepted and consumed widely in a variety of forms, caffeine in moderate doses, may prove beneficial in sustaining cognitive functioning. Further work will examine the hypothesis that increased alertness and attention with caffeine may sustain cognition through use dependent plasticity or circadian modulation.

Support

None
0434 Clinical Application of Computer Aided Cloud Sleep Scoring System
Authors: Lin W , Kuo P , Liu M , Li C , Lin C , Liang S
Published: May 2020

Introduction

According to a survey by World Sleep Society, 45% of the population suffered from sleep disorders. The best way to diagnose these patients is to use Polysomnography (PSG), recording their physiological signals throughout the night. Mostly, sleep technologists manually score sleep stages. Manual scoring is quite subjective and time-consuming. Although the technologist’s judgments are based on scoring standards of the American Academy of Sleep Medicine, fine-tuning scoring results because of different considerations in different sleep centers may be happened. In order to assess the consistency of scoring standards in sleep technologists, we tried to establish a cloud sleep scoring system and evaluate its feasibility in 4 sleep centers in southern Taiwan.

Methods

We constructed a computer-aided cloud sleep scoring system. Each sleep technologist could score the same test data of PSG online without being restricted by places and hardware equipment. After comparing scoring results of all participants, the scoring system could provide the following reports, including an overall agreement, agreement of each sleep stage and each sleep index. Besides, multi-person scoring results of each epoch with displaying physiological signals were analyzed.

Results

Seven sleep technologists from 4 hospitals in Tainan, Taiwan joined this study. Standard deviations (SDs) of each sleep stage included 2.64 in Wake stage, 6.90 in N1, 8.31 in N2, 6.87 in N3, 1.38 in REM, respectively. SDs of sleep indexes were 2.64 in sleep efficiency, 2.14 in sleep onset time, 8.35 in wake after sleep onset time, 10.03 in total sleep time, individually. The overall agreement was 89.6%. The satisfaction of this scoring system operation was 85.7%.

Conclusion

With the cloud sleep scoring system assistance, it was feasible to evaluate the scoring consistency among sleep technologists in different sleep centers.

Support

This work is supported by the Ministry of Science and Technology, Taiwan. (MOST 108-2634-F-006-012)
0452 Morlet Wavelet Transforms and Neural Networks in Polysomnography Analysis
Authors: Stretch R , Zeidler M
Published: May 2020

Introduction

Manually scoring polysomnograms is both time-consuming and labor-intensive. It also increases variability in care. Generating features for use as components within larger models is an important part of building highly accurate auto-scoring systems. In this study, we examined the use of time-frequency data representations in combination with a convolutional neural networks (CNN).

Methods

We used just six (6) pre-scored polysomnograms from the MrOS dataset in this analysis. Only one electroencephalography (EEG) and one electrooculography (EOG) channel were extracted from each polysomnogram and split into 30 second epochs. Visual representations of each epoch in the time-frequency domain were generated using Morlet wavelets, then divided into training and validation sets in a 4:5 distribution. We then re-trained a ResNet-50 CNN using transfer learning to classify sleep stage based on the time-frequency representations.

Results

A total of 4971 epochs were generated. Of those, 1242 epochs formed the validation set. Performance was high for identifying Stage W with an accuracy of 94.2% (295/313 epochs). However, performance for other stages was considerably lower. Stage N3 was predicted correctly in 68.0% of cases (138/203 epochs), although in 60/75 cases of misclassification the predicted class was Stage N2. Similarly, Stage N2 was predicted correctly in 62.0% of cases (183/295 epochs), and in 63/112 cases of misclassification the predicted class was Stage N3. Accuracy for Stage REM was 64.9%. Stage N1 prediction was poor (22.0% accuracy), likely due to insufficient representation in the sample (< 10% of epochs).

Conclusion

This exploratory analysis of the use of time-frequency representations in conjunction with a CNN demonstrates some promise, especially with respect to prediction of Stage W using this technique. Inclusion of additional data channels and larger sample size would likely improve accuracy.

Support

RS - ASPIRE Fellowship (sponsored by the American Thoracic Association).