bluuebunny/crossref_metadata_2025_split huggingface dataset:
0080 TBI Time Since Injury: A Comparison Model Between Sleep Efficiency and Neurocognitive Performance
Authors: Reign Deva , Grandner Michael , Hildebrand Lindsey , Dailey Natalie , Killgore William 
Published: May 2023

Abstract

Introduction
MTBI remains on one of the most prevalently reported brain injuries. Previous studies have shown an association between sleep efficiency, performance, and neurocognitive outcome. Reported time-since-injury (TSI) has also shown an association with neurocognitive outcome measures, with some evidence suggesting neurocognitive status is significantly worse at 2 weeks post-injury. Here, we examined differences in self-reported sleep efficiency at various time points since injury among individuals who had sustained an mTBI in the preceding year.

Methods
190 Participants [71 male, 119 female], age M=24.48, SD=6.80 (HC, n=39) and five mild TBI groups based on time post-injury, 2-weeks (2W, n=12), 1-month (1M, n=30), 3-months (3M, n=34), 6-months (6M, n=33), and 12-months (12M, n=40) post-injury. Participants completed a cross-sectional study at specific post-injury time points ranging from (2W, 1M, 3M, 6M, 12M). Participants completed comprehensive Repeatable Battery for Neuropsychological Status (RBANS) and were administered the Pittsburg Sleep Quality Index (PSQI) at the time of assessment. Here we analyzed the sleep efficiency subscale of the PSQI. Separate correlation analysis examined the association between sleep efficiency and the attention index for each TSI group.

Results
The ANOVA showed a main effect of TSI group, F(5,182) = 2.83, p=.017. Post Hoc comparisons with the LSD test showed that the 12M group had worse sleep ­efficiency than HC and 2W, 1M, and 3M but did not differ from 6M (p&lt;.05). Separate correlations between sleep efficiency and the attention index of the RBANS for each TSI group showed a marginally significant association at 2W (r(10)=-.467, p=.063, one tailed), and statistically significant at 12M (r(38)=-.266, p=.049, one tailed), suggesting that worse sleep efficiency was associated with worse attention performance at those time points.

Conclusion
Sleep efficiency differs across the first year of recovery from mTBI. Notably, individuals in the 12M TSI group appear to have worse sleep efficiency than any other TSI group but did not differ from the 6M group. Sleep efficiency appears to be associated with attentional capacity at 2W and 12M timeframes. This suggests that interventions that focus on enhancing sleep in patients with mTBI may prove promising for facilitating recovery.

Support (if any)
W81XWH-12-1-0386
0087 Associations between AHA’s Life’s Essential 8 and cognition in a sample of diverse midlife adults
Authors: Shen Yuqi , Master Lindsay , Baydoun May , Zonderman Alan , Buxton Orfeu , Gamaldo Alyssa , Evans Michele 
Published: May 2023

Abstract

Introduction
Life’s Simple 7 (LS7), originally proposed as the seven most important predictors of heart health, is associated with negative cognitive outcomes. Recently an updated Life’s Essential 8 (LE8) added sleep as the new eighth component. However, limited research has investigated LE8 and cognitive outcomes. We hypothesize that a higher composite LE8 score will be associated with better cognitive performance.

Methods
Cross-sectional analyses were conducted including 1498 adults (36-76 years old, 41% male, 61% African American) from the Healthy Aging in Neighborhoods of Diversity Across the Life Span (HANDLS) study who completed all LE8 and global cognition measurements in wave 4 data collection (2013-2017). Blood pressure, glucose, cholesterol, BMI, diet, physical activity, and smoking were calculated based on available wave 4 data per LE8 scoring guidance. The sleep component was scored based on the sleep duration question from the Pittsburgh Sleep Quality Index (“During the past month, how many hours of actual sleep did you get at night?”). LE8 score was calculated by averaging the scores from the eight components. Cognitive performance was measured from a Joggle battery to calculate a total global cognition score and individual domains (memory, attention, visual orientation, executive function, speed). A set of linear regression analyses were performed. Covariates included biological age, sex, race, poverty status, sleep apnea, education attainment (high school), reading literacy, and depression (CES-D).

Results
Higher scores on LE8 were significantly associated with better global cognitive performance, even after adjusting for covariates (b=0.024, p = .014). Among all cognitive domains, higher LE8 scores were significantly associated with better memory (b = 0.011, p &lt; .001), attention (b=0.012, p = .007), but not visual orientation, executive function, or speed.

Conclusion
Better cardiovascular health, as indicated by a higher LE8 composite score, is associated with better cognitive performance among U.S. middle-aged and older adults. Future studies may further explore this relationship using longitudinal data and explore the predictive power of each LE8 component.

Support (if any)
UF1AG072619 (PI: Gamaldo)
0088 Bidirectional Pathways Linking Daily Partner Interactions to Sleep Quality in Older Adult Couples
Authors: Xie Yuxi , Feeney Brooke 
Published: May 2023

Abstract

Introduction
Decreasing sleep quality is a challenge for older adults over age 65. Researchers have found significant associations between romantic relationships and sleep quality. However, most existing studies are cross-sectional; few have focused on the aging population who experience the most sleep problems; few have considered mechanisms linking close relationships and sleep quality; few have considered the specific effects of social interactions on sleep quality; and few have considered bidirectional relationships. To address these gaps in the literature, this study investigated the bidirectional pathways linking daily partner interactions to sleep quality in older adult couples. This study also tested daily negative affect, positive affect, and perceived partner responsiveness as three possible mediators explaining recursive associations between daily partner interactions and sleep quality.

Methods
This study recruited 238 older adult couples to complete baseline questionnaires including assessments of attachment orientation and demographics. Couple members also completed daily diaries for 7 consecutive days, reporting on their daily relationship, emotional, and sleep experiences.

Results
Results supported the predicted bidirectional relationship between daily partner interactions and sleep quality via three hypothesized pathways (i.e., negative affect, positive affect, and perceived partner responsiveness). Specifically, older adults who reported higher than average negative partner interactions during the day reported increases in negative affect, and decreases in positive affect and perceived partner responsiveness on the same day, which in turn were associated with worse sleep quality that night. The opposite was true for positive partner interactions. Bidirectionally, older adults who reported higher than average sleep quality on one night reported decreases in negative affect and increases in positive affect and perceived partner responsiveness the next day, which in turn were associated with fewer negative partner interactions and more positive partner interactions that day. Results also revealed moderating effects of attachment orientation and gender.

Conclusion
In conclusion, this study contributes to a sparse literature assessing the bidirectional relationship between daily partner interactions and sleep quality in the aging population. This research adds to our knowledge of the mechanisms underlying the recursive relationship and informs us of potential avenues for relationship-based interventions aimed at improving sleep quality.

Support (if any)
0089 Chronic sleep disruption increases amyloid beta deposition and gliosis in the 5xFAD mouse model
Authors: Pedersen Taylor , Agarwal Sanjana , Sevao Mathew , Braun Molly , Keil Samantha , Iliff Jeffrey 
Published: May 2023

Abstract

Introduction
Recent studies have found that mid-life sleep disruption is associated with the development of Alzheimer’s disease-related neuropathology, including the deposition of amyloid beta. Yet, the mechanism connecting sleep disruption, particularly over chronic timescales, and downstream Alzheimer’s pathology remains unclear.

Methods
In this study, we evaluated the impact chronic sleep disruption has on the development of neuroinflammation and amyloid beta plaques in the 5xFAD amyloidosis mouse model. Chronic sleep disruption in male and female C57BL/6 and 5xFAD+ mice was performed in Lafayette sleep fragmentation cages from 10-18 weeks of age. Glymphatic function was assessed by measuring the influx of fluorescent cerebrospinal fluid tracers into brain tissue. Aquaporin-4 localization, amyloid-beta plaque deposition, and markers of astroglial and microglial activation were assessed by immunofluorescence.

Results
We observed that chronic sleep disruption increased neuropathological outcomes in 5xFAD+ and littermate controls. This was evident in significantly increased amyloid-beta plaque deposition and significantly increased gliosis, indicated by increases in both astrocyte (GFAP) and microglial (Iba1) expression. The impact on glymphatic function, evaluated through both cerebrospinal fluid tracer distribution and assessment of aquaporin-4 mislocalization, was assessed in parallel and correlated with neuropathological outcomes.

Conclusion
These findings highlight the critical association between dysfunctional sleep and the development of Alzheimer’s-related amyloid beta pathology. They indicate that there is an interaction between chronic sleep disruption, neuroinflammation, and amyloid □ deposition.

Support (if any)
0091 The Association Between Sleep Health Facets and Inflammatory Markers: Results from the Einstein Aging Study
Authors: Ji Linying , Shen Yuqi , Harrington Erin , Van Bogart Karina , Engeland Christopher , Graham-Engeland Jennifer , Bertisch Suzanne , Derby Carol , Buxton Orfeu 
Published: May 2023

Abstract

Introduction
Prior research assessing self-reported or nocturnal sleep suggested that specific sleep traits (sleep restriction in the laboratory; poor sleep quality, sleep disorders) are associated with both pro and anti-inflammatory cytokine and C-Reactive Protein (CRP) levels. To extend prior research, we investigated associations between multiple dimensions of objectively assessed sleep health with both circulating and stimulated inflammatory markers in a diverse sample of older adults.

Methods
Participants in the Einstein Aging Study (EAS) were included (N=218, Mage=77.5 years, 6% female; 46% White, 38% Black, 14% Hispanic/other). A confirmatory factor analysis using wrist actigraphy sleep variables over 16 days yielded 6-component multi-dimensional sleep health facets: Regularity, Alertness/Sleepiness (daytime), Timing, Efficiency, Duration, and Rhythmicity. Inflammatory markers collected in the morning included CRP and both circulating markers reflecting current systemic inflammation, and lipopolysaccharide (LPS)-stimulated levels of (IL-1β, IL-4, IL-6, IL-8, IL-10, TNF𝛼), which reflect responses to an inflammatory challenge, an index of immune reactivity. Associations between each inflammatory marker and each sleep health facet were examined using linear regression, controlling for BMI, gender, age, education, ethnicity/race, number of health conditions, nocturnal hypoxemia, Oxygen Desaturation Index (ODI)≥15.

Results
Participants with more daytime sleepiness (i.e., higher number and longer duration of naps and lower activity level) had higher circulating IL-6 and CRP levels. Lower sleep efficiency was associated with lower levels of the anti-inflammatory circulating cytokine IL-4 and higher levels of stimulated IL-8 and TNF𝛼. Longer sleep duration was associated with higher levels of circulating IL-1β and CRP. Less rhythmicity across days was associated with higher levels of circulating IL-6. Nocturnal hypoxemia was associated with higher levels of CRP and stimulated IL-4, IL-8, and TNFα. We found no association between sleep timing and regularity and any inflammatory marker.

Conclusion
We observed that various sleep health facets are related to markers of inflammation and immune reactivity in older adults. This research also demonstrates the value of using 24-hour, device-based estimates of different sleep health facets relevant for immune function. Associations between 24-h sleep and inflammation are particularly important for older adults, who evidence more daytime sleepiness and less rhythmic sleep/active patterns in daily life.

Support (if any)
R01AG062622, P01AG003949, RF1AG056331-04
0093 Chronotypic characteristics of sleep, mental health, and daily life of Japanese university of health sciences students
Authors: Sato Toshiaki , Kawakatsu Yuki , Takahata Miki , Muraoka Shuhei , Kudo Daisuke , Satake Shinji , Eakman Aaron 
Published: May 2023

Abstract

Introduction
Students’ lifestyles change after entering the university negatively impacting effective sleep regulation, daytime alertness, motivation to learn, and mental health. An evening chronotype has been increasingly associated with negative impacts upon performance and well-being. Greater understanding of chronotype differences in sleep-related, mental health, and daily life characteristics is needed to develop a sleep health promoting intervention.

Methods
Cross-sectional descriptive design among health sciences students (nursing, occupational therapy and physical therapy) in a Japanese university. The Japanese version of the Morningness-Eveningness Questionnaire (MEQ-J) was used to create morning (M), intermediate (I), and evening (E) chronotype groups. One-way analysis of variance was used to investigate differences among chronotype groups by sleep, mental health, and daily life characteristics. We assessed insomnia severity (ISI-J), sleep quality (PSQI-J), sleep hygiene (SHPS-J), daytime sleepiness and dysfunctional sleep beliefs; depression (JCES-D) and anxiety; and time use in club, commuting, sleep, and work, as well as engagement in meaningful day-to-day activities (EMAS-J), significant group differences were explored post-hoc.

Results
Of 369 students there were 21% classified as M chronotype, 63% as I, and 16 % as E; an approximate 1:3:1 ratio. Sleep quality was progressively better as chronotype advanced from E, to I, to M (PSQI-J: d range 0.41-1.07); along with sleep problems being less likely (ISI-J: d range 0.45-1.16). Sleep hygiene practices were most effective for the M chronotype, followed by I then E (SHPS-J: d range 0.49-1.14). No group differences were found in daytime sleepiness or dysfunctional sleep beliefs. Depression symptoms were greater in the E chronotype compared to I and M (JCES-D: d range 0.52-0.84). M chronotypes reported the longest commuting times (d range 0.45-0.55). No differences were found in sleep duration or time spent in other activity types. Lastly, M chronotypes reported engaging in more meaningful activities compared to E (EMAS-J: d = 0.47).

Conclusion
Sleep health lifestyle intervention should target chronotype preference to be less evening-like, thereby promoting sleep quality and mental health. Intervention could tailor sleep hygiene beliefs and skills to address sleep timing, pre-sleep arousal and environment regulation according to individuals’ daily life characteristics and chronotype differences.

Support (if any)
0095 Magnitude of Temperature Drop Prior to Sleep Onset May Predict Increase in Slow Wave Sleep
Authors: Kim Jong , Valencia Daphne , Parekh Ankit , Blessing Esther , Osorio Ricardo 
Published: May 2023

Abstract

Introduction
Neural circuitry implicated in thermoregulation is known to be interdependent with that implicated in regulation of sleep-wake state. In addition, previous studies in both rodent and human have shown that the sleep-associated decline in core body temperature (CBT) is associated with subsequent slow wave sleep. We sought to replicate this association in cognitively normal older adults, and extend upon previous studies by using automated telemetric methods to measure CBT.

Methods
Thirty-one cognitively normal and mildly cognitively impaired (MCI) older adults (age 68 ± 6 years, 18 female, 3 MCI) underwent measurement of CBT for two consecutive nights with a telemetric sensor, during which lab nocturnal polysomnography was simultaneously performed. Data from the second night were used. A validated algorithm was used to preprocess CBT to exclude and fill artifactual data outliers and small gaps, respectively. The sleep-associated CBT was calculated with an automated procedure by identifying the CBT decrease between the first peak in CBT identified prior to ‘Lights Out’ and the lowest value following Lights Out. Slow wave activity (SWA) increase was calculated as increase relative to baseline in the relative spectral power (0.5-4.0 Hz, F3-M2) in the first 5 second epoch following lights out.

Results
Of the 31 participants, 21 had both good quality EEG and CBT data, with an average total sleep time of 7.5 ± 1.5 hours, and an average duration 46.6 ± 18.5 hours of CBT data collected. There was a strong positive correlation between the magnitude of CBT decline and subsequent SWA (rho = 0.70, p &lt; 0.001 Spearman’s Rank correlation), supporting previous results.

Conclusion
This is one of the first studies to obtain simultaneous CBT and NPSG data in older adults using an ingestible telemetric sensor. Our results support the previous research that there is a significant relationship between sleep-associated body cooling prior to sleep onset and increase in SWA. This highlights the potential for future therapeutic thermal intervention in older adults to improve sleep and sleep mediated health conditions. Further research with a bigger sample size will be necessary to control for variables such as obstructive sleep apnea and cognition status.

Support (if any)
NIH R01AG070866, R21AG055002, K25HL151912,
0096 Short sleep duration and poor sleep quality associated with elevated serum NfL and mild cognitive impairment in older Veterans
Authors: Weiss Carleara , Lorenz Rebecca 
Published: May 2023

Abstract

Introduction
Ten percent of adults aged ≥ 65 and 50% of adults ≥ 85 years exhibit cognitive impairment. In addition, 50% of older adults experience poor sleep quality. Veterans are more vulnerable to sleep disturbances and potential cognitive impairment as long-term consequences of on-duty responsibilities, co-morbidities, and conditions such as post-traumatic stress disorder. Previous studies demonstrated a relationship between sleep and cognitive impairment through impaired glymphatic function and neurodegeneration. Biomarkers such as neurofilament light (NfL) are elevated in neurodegeneration and dementia. Here, we sought to investigate NfL levels in cognitive-intact older Veterans exhibiting poor sleep quality.

Methods
A cross-sectional study with eighteen Veterans aged 65-86 without a clinical diagnosis of dementia. Self-reported sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI), while time in bed (TIB), and total sleep time (TST) were retrieved from Fitbit Charge. Cognitive function was evaluated with the St. Louis University Mental Status Exam (VA-SLUMS). We used an automated multiplex immunoassay system to identify dementia biomarkers using an enzyme-linked lectin assay. T-tests, one-way or two-way ANOVAs with Tukey’s post-hoc (with or without repeated measures) were used for the analysis.

Results
Participants were classified as good sleepers (PSQI&gt;5) and poor sleepers (PSQI&lt; 5). Poor sleepers spent less TIB (Fitbit 5.3h vs. 7.7h, p =0.001) and slept fewer hours (Fitbit 4.7h vs. 7.2h, p =0.001) when compared to good sleepers. Additionally, poor sleepers exhibited mild cognitive impairment (VA SLUMS 26.9, p, =0.01). Lastly, poor sleepers exhibited higher serum NfL (mean 66.7, p=0.04).

Conclusion
Poor sleep quality was associated with short sleep duration, mild cognitive impairment, and higher serum levels of NfL in older Veterans without a dementia diagnosis. Results may contribute to the early identification of dementia and sleep-centered treatment guidance. Further studies with more extensive and diverse samples are warranted before clinical recommendations.

Support (if any)
Carleara Weiss, Ph.D., MS, RN. 1K99AG079117-01 (PI), National Institute on Aging.
0099 Circadian Rest-Activity Rhythm Development is associated with Weight Gain in Early Infancy
Authors: Petrov Megan , Jiao Nana , Shu Jingmin , Liu Li , Gross Tav , Reifsnider Elizabeth , Coonrod Dean , Whisner Corrie 
Published: May 2023

Abstract

Introduction
In early childhood, irregular sleep schedules that may promote circadian rhythm misalignment predict greater weight gain. However, circadian rest-activity (CRA) rhythmicity in infancy in relation to growth is understudied. The aim of the present study was to investigate the association between newborn circadian rest-activity rhythmicity and change in weight-for-age from birth to three months.

Methods
Data were captured as a secondary data analysis from the Snuggle Bug / Acurrucadito Study (see Support). English or Spanish speaking mothers (n=41, age M±SD=33.1±4.6y, 31.7% Hispanic/Latina) and their full-term (≥37wk) infants of normal weight (2.5-4kg; 58.5% female; 25.6% WIC enrolled) were recruited from Phoenix, Arizona. CRA rhythmicity was measured at eight weeks with ankle-worn Micro Motionloggers (Ambulatory Monitoring Inc.) for five 24hr periods at one-minute epochs. CRA metrics assessed included 24hr autocorrelation, mesor, magnitude, acrophase, goodness-of-fit R2, interdaily stability, intradaily variability, and relative amplitude. Birthweight was mother-reported and 3mon infant weight was measured with a Seca scale. Weight-for-age Z-scores (WAZ) by infant sex were computed based upon World Health Organization growth charts and the change difference between timepoints was the primary outcome. Regression models adjusting for birth WAZ examined the relationships between CRA metrics at eight weeks with change in WAZ from birth to 3mo.

Results
At eight weeks, mean±SD CRA metrics were as follows: 24hr autocorrelation of 0.25±0.03, mesor of 115.6±14.7, amplitude of 68.1±18.3, goodness-of-fit R2 of 0.42±0.10, acrophase of 14:12±1:42, interdaily stability of 0.57±0.12, intradaily variability of 0.93±0.19, and relative amplitude of 0.61±0.11. Mean birth WAZ and change in WAZ from birth to 3mon were 0.39±0.73 and -0.57±0.77, respectively. After adjusting for birth WAZ, in separate models, greater mesor (R2 Change=0.10, β=-0.32, p=0.03), amplitude (R2 Change=0.11, β=-0.34, p=0.03), and goodness-of-fit R2 (R2 Change=0.10, β=-0.32, p=0.04) were significantly associated with less change in WAZ from birth to 3mon.

Conclusion
Among relatively healthy, full-term infants born of normal weight, greater 24hr circadian rest-activity rhythmicity achieved by 8 weeks was associated with slower rate of weight gain across the newborn stage. Promoting behaviors and environmental cues from parents that strengthen early circadian rhythmicity in their infants may promote healthy weight trajectories.

Support (if any)
NIH/NHLBI R01HL147931