bluuebunny/crossref_metadata_2025_split huggingface dataset:
0226 A Novel GABAergic Dietary Supplement Enhances Sleep Quality in Ovariectomized Mice
Authors: Bernsley Devon , Sahin Kazim , Kilic Ertugrul , Korkusuz Ahmet Kayhan , Orhan Cemal , Er Besir , Komorowski James 
Published: April 2024

Abstract

Introduction
Sleep disruptions affect 56% of the population. Sleep disorders are common symptoms facing peri- and post-menopausal women. Ovariectomized rodents are a common study model for research on menopausal symptoms. The primary objective of this investigation was to evaluate the effects of BH_SLP_01 (Bonafide Health Sleep Product) on sleep quality and brain wave patterns in ovariectomized mice.

Methods
Five female BALB/c mice (age: 8 weeks, body mass: 180±20g) were allocated per treatment arm. After an adaptation period, all mice were ovariectomized (OVX). Treatment groups included caffeine control (control) and caffeine + BH_SLP_01. Both groups were treated with caffeine to induce sleep disturbance. Caffeine (7.5mg/kg) was injected intraperitoneally at the 15th minute of recordings, and second injections (saline or combinations) were performed at the 30th minute (min). Brain electrical activity was monitored and recorded for two hours total using electrocorticography (ECoG). Serum melatonin, serotonin, and dopamine were measured by ELISA. Brain levels of MDA were measured by HPLC and protein concentrations were determined using Western Blot analysis. Study treatments were compared using an ANOVA, Tukey’s post-hoc test, and Student's unpaired t-test. Significance levels were set at &lt; 0.05.

Results
Analysis of ECoG recording data revealed notable findings. Significant differences in amplitude were seen at 15-30, 45-60, 60-75, and 75-90 min time points for the BL_SLP_01 group compared to control. Significant differences in frequency were seen at 15-30, 30-45, 45-60, 60-75, 75-90, and 90-105 min timepoints for the BH_SLP_01 group compared to control. Additionally, serotonin, dopamine, melatonin, brain MDA, GABA-A R2, GABA-B R1, GABA-B R2, 5-HT1A, GluA1, GluN1, GluN2A, Bax, Bcl-2, and Caspase-3 levels were significantly improved by BH_SLP_01 compared to control (p&lt; 0.05).

Conclusion
This study provides evidence for the efficacy of BH_SLP_01 to improve impaired sleep in a menopausal model. This conclusion is supported by notable enhancements in sleep architecture demonstrated by ECoG recording data. Furthermore, the results show an upregulation of GABA, glutamine receptors, and natural melatonin, all of which collectively contribute to sleep quality. These findings underscore the potential of BH_SLP_01 as a promising therapeutic intervention for menopausal women experiencing sleep stress and disturbances.

Support (if any)
Research was supported by Bonafide Health, LLC.
0228 Chemogenetic Activation of Noradrenergic A7 and SubCoeruleus Neurons Inhibits Generation of REM Sleep in Aging Mice
Authors: FrassondosReis Leonardo , Yadav Raghunandan Kumar , Fenik Victor , Rukhadze Irma 
Published: April 2024

Abstract

Introduction
The generation of REM sleep involves mutually inhibitory interactions between brainstem aminergic and cholinergic neurons. The silencing of Locus Coeruleus and A5, noradrenergic neurons during REM sleep have been proposed to play a permissive role in the occurrence of REM sleep. Since noradrenergic SubCoeruleus (SubC) and A7 neurons have similar sleep-wake pattern of activity, we tested whether these neurons also participate in the regulation of the sleep-wake cycle in young and aging mice.

Methods
Fourteen adult DBH-cre mice (young 3-6 month-old, 4 males and 3 females; and aging 21-26 month-old, 5 males and 2 females) were bilaterally injected with excitatory M3-DREADD into A7/SubC pontine noradrenergic region. In two weeks, mice were implanted with EEG and neck EMG electrodes to record sleep-wake behavior. Four weeks following the DREADD injections, the mice were habituated to sleep-wake recording system. The EEG and neck EMG were collected from 9 am to 7 pm, and randomized CNO (0.3 mg/kg, i.p.) or saline injections were administered at 12 pm during experimental sessions. Sleep scoring was performed using SleepSign and sleep-wake states were manually defined in 5 s epochs. The duration of time spent in wakefulness, NREM, and REM sleep was calculated per hour for saline and CNO sessions. Pontine sections were processed for tyrosine hydroxylase (a marker for noradrenergic neurons) immunohistochemistry, and mCherry-positive (DREADD) A7/SubC neurons were counted.

Results
CNO tended to reduce total duration of REM sleep compared to saline injections within the first two hours after the injections in young (2.5 + 0.8 (SE) min vs. 4.6 + 0.8 min, n=7, p=0.078) and significantly decreased in old (2.5 + 0.6 min vs. 5.6 + 0.6 min, n=7, p&lt; 0.001, paired t-tests) mice. The total duration of REM sleep was negatively correlated with the number of mCherry-positive, M3-expressing noradrenergic neurons.

Conclusion
The obtained results suggest that activation of A7/SubC noradrenergic neurons negatively affect REM sleep generation, which was more pronounced in older animals. These findings suggest a novel role for both SubC and A7 noradrenergic neurons in the regulation of REM sleep.

Support (if any)
NIIH/NIA R01AG065233
0231 Exploring Age Differences in Relationships Between Prior Sleep Duration and Sleep Latency on MSLTs
Authors: Keohane Lara , McCullar Katie , Dijk Derk-Jan , Klerman Elizabeth 
Published: April 2024

Abstract

Introduction
We investigated whether the relationship between daytime sleepiness and previous night’s sleep duration changes with age using a protocol in which individuals were studied both after habitual sleep duration and after multiple days with extended sleep opportunities.

Methods
35 younger (18-32 years old, 18 F) and 18 older (60-76 years old, 6 F) healthy participants were studied using polysomnography in an in-lab protocol (Klerman and Dijk, Curr. Biol. 2008). During night 1 (SP1), participants were scheduled to sleep based on their at-home sleep schedules. On day 2, the 5 sessions of a MSLT (MSLT_pre) began 2 hours after SP1 ended .Participants then began a schedule with 16 hrs (12 hrs at night and 4 hrs during day) of sleep opportunity in bed per 24 hrs for 7 days, followed by a second set of MSLTs (MSLT-post). Total sleep time (TST) for the nighttime sleep episodes prior to both sets of MSLTs was calculated. The median sleep latency and percent of the MSLT sessions in which participants fell asleep (PctSlept) within MSLT_pre and MSLT_post were calculated.

Results
Total sleep time on SP1 ranged from 5.4-9.7hr; only Younger participants had a TST &gt;8.0 hr. Therefore, for analyses comparing Younger and Older participants, only TST of &lt; 8.0 hr was used (21 Younger, 18 Older). All participants fell asleep at least once during MSLT_pre. During MSLT_post, 32% of Younger and 8% of Older participants did not fall asleep during any of the MSLT sessions (i.e., PctSlept=0); therefore, latency-based analyses cannot be done for MSLT_post data. There was a negative correlation between SP1 TST and median sleep latency for MSLT_pre for Younger (Pearson R=0.35; p=0.049) but not Older participants. There was a negative correlation between SP1 TST and PctSlept for Younger (Pearson R=-0.47, p=0.006), but not Older participants. There was no relationship between TST before MSLT_post and the PctSlept for either Younger or Older participants. Repeated measures ANOVA testing (MSLT_pre vs MSLT_post) found a time (p&lt; 0.001) and time*agegroup (p=0.008) effect for PctSlept.

Conclusion
The relationship between the prior night’s sleep and daytime sleepiness may change with age.

Support (if any)
NIH R01- HL166205, R01-HD107064
0232 Association of Sleep Quality and Sleep Duration with Cognitive Frailty in Older Chinese Adults
Authors: Cai Ruixue , Gao Chenlu , Gao Lei , Hu Kun , Li Peng 
Published: April 2024

Abstract

Introduction
Cognitive frailty refers to the co-occurrence of physical frailty and cognitive impairment. The aim of this study is to examine the associations of sleep quality and sleep duration with cognitive frailty among older Chinese adults.

Methods
We analyzed data from the 2008 wave of the Chinese Longitudinal Healthy Longevity Survey. In total, 11,293 participants aged ≥ 65 years old (mean age 85 years; 6032 females) who had cognition and physical frailty assessments at baseline were included. Participants were considered physically frail when meeting ≥3 of the following criteria: shrinking, weakness, slowness, exhaustion, and inactivity; and were considered mild cognitive impairment if the Mini-Mental State Examination score ◻22. Cognitive frailty was identified as the presence of both physical frailty and mild cognitive impairment. Sleep quality was assessed based on answers to the question “How about the quality of your sleep?” A score “poor” was rendered if the answer was “so so”, “bad”, or “very bad”, and a score “good” was rendered otherwise. Sleep duration was estimated based on the answers to the question “How many hours do you sleep normally?”, was further categorized into short (&lt; 6 h), normal (6-9 h), and long (&gt;9 h). Multivariate logistic regression models were performed to assess the associations of sleep quality and sleep duration with cognitive frailty adjusting for age, sex, education, residence, economic status, marital status, and multimorbidity.

Results
Among all participants, 1,297 (11.5%) were identified as having cognitive frailty. Poor sleep quality was found in 3,794 (33.6 %) participants. Numbers of participants who reported short, normal, or long sleep duration were 1,325 (11.7%), 7,200 (63.8%), and 2,768 (24.5%). Compared with those who had good quality, participants who had poor sleep quality were at a higher risk for cognitive frailty (odds ratio [OR]=1.36, 95%CI=1.19-1.56, p&lt; 0.001). Compared to participants who had normal sleep duration, the odds of having cognitive frailty were also higher in those with short (OR=1.29, 95%CI=1.05-1.59, p&lt; 0.05) or long sleep duration (OR=1.52, 95%CI=1.32-1.74, p&lt; 0.001).

Conclusion
Poor sleep quality and abnormal sleep duration were associated with cognitive frailty among older Chinese adults.

Support (if any)
BrightFocus Foundation (A2020886S), NIH RF1AG064312
0233 Actigraphy-derived Sleep Profiles in Older Men: Insights into Cognitive and Cardiovascular Health Risks
Authors: Cavailles Clemence , Wallace Meredith , Leng Yue , Stone Katie , Ancoli-Israel Sonia , Yaffe Kristine 
Published: April 2024

Abstract

Introduction
While growing attention has been given to understanding the multidimensionality of sleep, research has primarily focused on individual sleep characteristics. Therefore, the link between actigraphy-derived 24-hour sleep/circadian profiles and the incidence of dementia and cardiovascular disease (CVD) events in healthy older men remains unexplored.

Methods
We analyzed actigraphy-derived sleep/circadian data gathered from 2,667 men participating in the Osteoporotic Fractures in Men (MrOS) Sleep study. Sleep/circadian profiles were determined using multiple coalesced generalized hyperbolic mixture modeling, based on 20 sleep parameters and circadian activity rhythms variables. Multivariable Cox models were performed to investigate how these sleep profiles related to the incidence of dementia and CVD events over a 12-year period.

Results
We identified three sleep profiles: active healthy sleepers (characterized by high sleep efficiency; strong circadian rhythmicity; and high activity during wake periods), fragmented poor sleepers (low sleep efficiency; high sleep fragmentation; short sleep duration; and weak circadian rhythmicity), and nappers (more frequent and longer naps; and high sleep efficiency). Over the 12-year follow-up, compared to active healthy sleepers, fragmented poor sleepers had significantly increased risks of dementia and CVD events (Hazard Ratio (HR)= 1.47, 95% confidence interval (CI)= 1.08;1.98 and HR=1.34, 95%= 1.11;1.63, respectively), whereas nappers had a higher risk of CVD events (HR= 1.18, 95% CI= 1.00; 1.40) but not dementia incidence (HR= 1.14, 95%CI= 0.87;1.49).

Conclusion
In older men, fragmented poor sleepers’ profile was associated with less favorable cognitive and cardiovascular health over 12-year follow-up, indicating a potential target for sleep intervention. Nappers’ profile was linked to increased risk of CVD events incidence, but not with the incidence of dementia. These results suggest that different sleep profiles may influence cognitive and cardiovascular health through distinct mechanisms.

Support (if any)
0236 Psychometric Validation of the Ru-SATED 4.0 Multidimensional Sleep Health Scale in a Representative U.S. Sample
Authors: Conlon Rachel , Yu Lan , Tapia Amanda , Wallace Meredith , Buysse Daniel 
Published: April 2024

Abstract

Introduction
The construct of multidimensional sleep health is increasingly used to examine the impact of sleep on health. However, psychometric validation of self-report sleep health measures is limited. We developed the Ru-SATED 4.0 Multidimensional Sleep Health Scale to evaluate 6 sleep health dimensions (Regularity, Satisfaction, Alertness, Timing, Efficiency, Duration), including several alternative questions within dimensions. We assessed the comprehensibility and psychometric properties of Ru-SATED, yielding a finalized, valid measure of multidimensional sleep health among adults.

Methods
We conducted cognitive interviews (n=23) and lexile analysis. We then administered Ru-SATED and other self-reported sleep health measures via YouGov.com (n=2,000; stratified by age, sex assigned at birth, and racial/ethnic identity, representative of the U.S. population). We used factor analysis to identify the best combination of 6 items (1 for each dimension), then calibrated these 6 items using item response theory (IRT) Graded Response Model and explored the associations with legacy measures to establish Ru-SATED’s construct validity.

Results
Cognitive interviews evaluated 8 items across dimensions of sleep health (including 2 alternate items for alertness and 2 for duration) and confirmed the comprehensibility of the items/response options. The final set of 6 items had excellent model fit (RMSEA=0.08, SRMR=0.03, CFI=0.97, TLI=0.95) from factor analysis. In IRT calibration results, the location parameters ranged from -3.41 to 2.41 and the discrimination parameter ranged from 0.58 to 2.54, indicating the unique contributions of each item to the overall theta scores. Ru-SATED theta scores derived from IRT calibration had a mean of -0.01±0.83. Ru-SATED scores demonstrated acceptable convergent validity (|rs|=0.30 to 0.54) with other sleep scales (PSQI, PROMIS Sleep Disturbance, PROMIS Sleep-Related Impairment, Epworth Sleepiness Scale), and test-retest reliability (r=0.66) one month later. Ru-SATED scores significantly differed among those with (n=441, 22%) and without sleep diagnoses (n=1,558, 78%; Cohen’s d=0.95, 95% CI=0.84 to 1.06), indicating acceptable known-groups validity.

Conclusion
These findings support the psychometric validity of Ru-SATED 4.0 with an advantage of IRT-derived theta scores. Ru-SATED is a brief, easy-to-complete self-report measure of 6 dimensions of sleep health that can be easily scored and interpreted in clinical and research settings.

Support (if any)
Supported by an investigator-initiated, industry-sponsored research grant from Sleep Number Corporation (PI: Conlon).
0237 Association Between Healthy Sleep Time and Brain Health in US Adolescents-The Role of Social Determinants of Health
Authors: De Moraes Augusto César , Nascimento-Ferreira Marcus Vinícius , Hunt Ethan , III Harold Kohl 
Published: April 2024

Abstract

Introduction
Recent studies highlight the importance of healthy sleep for adolescent brain development and memory. However, factors like night awakenings and social disparities can affect sleep quality, crucial for cognitive growth. Understanding these influences is key to addressing their impact on children's cognitive development. This study aimed to: I) Examine the relationship between healthy sleep and executive brain development in US adolescents, focusing on the mediating role of nightly awakenings; II) Explore how social determinants of health (SDoH) influence this relationship.

Methods
We analyzed cross-sectional data from Year 2 (2018–2020) of the ABCD Study (n = 5,742) focusing on Fitbit Charge 2 device-measured average sleep hours per night. Sleep was classified per American Heart Association guidelines, with a scoring system based on optimal sleep durations. Wake after sleep onset (WASO) was used as a mediator and brain health was assessed using MRI measurements of cortical and gray matter volume. The Child Opportunity Index (COI) was used to assess the potential effect modification of SDoH, categorized as very low, low, moderate, high, or very high.

Results
In our study of 5,064 adolescents, averaging 11.9 years old, the typical sleep duration was 7.4 hours per day, and the average nightly awakenings was 36.9 minutes daily. We found that those with healthier sleep patterns had a larger total whole brain cortical volume (β = 440.2; 95% CI, 371.3 to 509.1). SDoH significantly buffers this association, particularly in the moderate to very high COI categories. Notably, WASO did not mediate this relationship. However, in the very low COI group, longer healthy sleep was inversely related to gray matter volume (β = -20.09; 95% CI, -38.18 to -2.00), with WASO mediating 5.1% of this association.

Conclusion
Adequate healthy sleep time correlates positively with brain-healthy development (brain cortical volume), and this association varies with socio-economic factors. In adolescents with very low Child Opportunity Index scores, healthy sleep time is inversely associated with gray matter volume, with wake-up during the night as an important mediator. These findings suggest the need for targeted strategies to enhance sleep and brain health among socio-economically disadvantaged adolescents.

Support (if any)
UTHealth Houston NIH
0239 The Relationship Between Asthma and Sleep in Adolescents from the Future of Families and Child Wellbeing Study
Authors: Lewis Sarah , Master Lindsay , Hale Lauren , Chang Anne-Marie 
Published: April 2024

Abstract

Introduction
Asthma has been linked to adverse sleep outcomes in adolescents but few studies have evaluated whether there are differences in the sleep health of adolescents with asthma from various racial/ethnic backgrounds. We aimed to test the association of asthma with sleep in a large, diverse, national sample of adolescents and to examine potential associations between race/ethnicity and sleep in those with asthma.

Methods
Data from 3307 adolescents were collected at the age-15 wave from the Future of Families and Child Wellbeing Study, a longitudinal birth cohort. Parent-reported asthma diagnosis and self-reported sleep measures, including bedtime, sleep duration, and number of nights/week with trouble falling asleep and staying asleep, were collected. Objective sleep measures, collected via actigraphy (n=784), included sleep onset, 24-hour sleep duration, sleep maintenance efficiency, and wake after sleep onset (WASO). Separate linear regression models were used to test the association between asthma and sleep outcomes in the entire sample, and to test the association between race/ethnicity and sleep outcomes in those with asthma (n=193-820). Models adjusted for age, sex, race/ethnicity, family structure, primary caregiver’s education, and household income to poverty ratio.

Results
Asthma diagnosis was significantly associated with more nights/week with trouble falling asleep in the entire sample (p&lt;.001). Of those with asthma, 51.6% were African American, 25.1% were Hispanic/Latino, 11.8% were in the other category, and 11.5% were white. In those with asthma, race was significantly associated with multiple sleep outcomes. African American adolescents had an actigraphic sleep onset that was 1 hour earlier (p&lt;.05) and reported sleeping 28.2 minutes less (p&lt;.01) than white adolescents. Additionally, Hispanic/Latino adolescents had 9 more minutes of actigraphic WASO (p&lt;.05) than white adolescents.

Conclusion
Overall we show that asthma is associated with more trouble falling asleep than those without asthma. Among those with asthma, we found shorter self-reported sleep duration and, unexpectedly, earlier sleep onset among African Americans and more WASO among Hispanic/Latino adolescents compared to White adolescents. Further studies should continue to explore the relationship between asthma and sleep by examining differences in asthma-related exposures that may underlie these sleep disparities.

Support (if any)
R25-HL147668, R01HD073352, R01HD36916, R01HD39135, R01HD40421
0242 Self-reported Short Sleep in Overnight Workers and Impoverished Individuals
Authors: Scott Jared 
Published: April 2024

Abstract

Introduction
Overnight shift work and rotating shift work have been consistently shown to have negative impacts on worker sleep health and therefore worker health overall. Factors associated socio-economic status (SES) have been shown to affect sleep in various ways. This study aims to identify the interaction between SES and night shift work and their impact on worker sleep outcomes.

Methods
Data for 9,212 workers ages 18 and older were acquired from the National Health and Nutrition Examination Survey (NHANES). Workers were divided into groups for overnight, evening, daytime, and rotating shift work. Using poverty income ratios (PIR) SES groups of poverty (PIR≤1), below median (PIR&gt;1, ≤3) and non-poverty (PIR&gt;3) were also formed. Membership within these groups as well as interaction terms between shift work and SES were regressed on short sleep (&lt; 7 hours), extreme short sleep (≤5 hours), and unhealthy sleep (≤5 or &gt;9 hours).

Results
A significant interaction was found between overnight shift work and short sleep, extreme short sleep, and unhealthy sleep (p&lt; 0.001for each). The interactions seen were strongest for unhealthy sleep as opposed to short or extreme short sleep. Those in the below median SES group had the largest likelihood of poor sleep under all three classifications (p&lt; 0.02 for all). African American individuals were also more likely to have unhealthy sleep with p&lt; 0.001 for all classifications of poor sleep while being Hispanic had no significant impact on sleep. Surprisingly, interaction terms between overnight shift work and SES were not shown to be statistically significant.

Conclusion
Consistent with previous findings, overnight shift work is predictive of shorter sleep; however, overnight shift work was most strongly predictive of unhealthy sleep. This may be an indication that overnight shift may also lead to consistent oversleeping in some individuals. SES does not seem to have any compounding effects with overnight shift work. Future research should look at how overnight shift work may be leading to consistent oversleeping as well as why SES does not impact overnight shift effects.

Support (if any)