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Background: In clinical populations, the movement of cerebrospinal fluid (CSF) during sleep is a growing area of research with potential mechanistic connections in both neurodegenerative (e.g., Alzheimer's Disease) and neurodevelopmental disorders. However, we know relatively little about the processes that influence CSF movement. To inform clinical intervention targets this study assesses the coupling between (a) real-time CSF movement, (b) neuronal-driven movement, and (c) non-neuronal systemic physiology driven movement., Methods: This study included eight young, healthy volunteers, with concurrently acquired neurofluid dynamics using functional Magnetic Resonance Imaging (MRI), neural activity using Electroencephalography (EEG), and non-neuronal systemic physiology with peripheral functional Near-Infrared Spectroscopy (fNIRS). Neuronal and non-neuronal drivers were assessed temporally; wherein, EEG measured slow wave activity that preceded CSF movement was considered neuronally driven. Similarly, slow wave oscillations (assessed via fNIRS) that coupled with CSF movement were considered non-neuronal systemic physiology driven., Results and Conclusions: Our results document neural contributions to CSF movement were only present during light NREM sleep but low-frequency non-neuronal oscillations were strongly coupled with CSF movement in all assessed states - awake, NREM-1, NREM-2. The clinical/research implications of these findings are two-fold. First, neuronal-driven oscillations contribute to CSF movement outside of deep sleep (NREM-3); therefore, interventions aimed at increasing CSF movement may yield meaningful increases with the promotion of NREM sleep more generally - a focus on NREM S3 may not be needed. Second, non-neuronal systemic oscillations contribute across wake and sleep stages; therefore, interventions may increase CSF movement by manipulating systemic physiology., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Objective: To examine screening strategies for identifying problematic sleep in a diverse sample of infants., Methods: Parents of infants (5-19 months; N = 3,271) presenting for a primary care visit responded to five screening items and the Infant Sleep Questionnaire (ISQ), a validated measure of problematic infant sleep. If parents responded affirmatively to any screening item, primary care providers received a prompt to evaluate. For each of the screening questions, we examined differences in item endorsement and criterion related validity with the ISQ. Using conceptual composites of night waking and sleep difficulty, prevalence, criterion-related validity, and concurrent demographic correlates were analyzed., Results: Infants were primarily of Black race (50.1%) or Hispanic ethnicity (31.7%), with the majority (63.3%) living in economically distressed communities. Rates of problematic sleep ranged from 7.4%, for a single item assessing parental perception of an infant having a sleep problem, to 74.0%, for a single item assessing night wakings requiring adult intervention. Items assessing sleep difficulty had high (95.0-97.8%) agreement with the ISQ in identifying infants without problematic sleep, but low agreement (24.9-34.0%) in identifying those with problematic sleep. The opposite was true for items assessing night waking, which identified 91.0-94.6% of those with sleep problems but only 31.8-46.9% of those without., Conclusions: Screening strategies for identifying problematic infant sleep yielded highly variable prevalence rates and associated factors, depending on whether the strategy emphasized parent-perceived sleep difficulty or night wakings. The strategy that is most appropriate will depend on the system's goals., (© The Author(s) 2021. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Research suggests that arousal during the transition to sleep-presleep arousal-is associated with sleep disturbances. Although a robust literature has examined the role of presleep arousal in conferring risk for sleep disturbances in adults, substantially less research has examined the developmental origins of presleep arousal in early childhood. The authors examined presleep arousal using parent report and psychophysiological measures in a sample of preschoolers to explore the association between different measures of presleep arousal, and to examine how nightly presleep arousal is associated with sleep. Participants included 29 children assessed at 54 months of age. Presleep arousal was measured using parent reports of child arousal each night at bedtime and using a wearable device that took minute-by-minute recordings of heart rate, peripheral skin temperature, and electrodermal activity each night during the child's bedtime routine. This yielded a dataset with 4,550 min of ambulatory recordings across an average of 3.52 nights per child ( SD  = 1.84 nights per child; range = 1-8 nights). Sleep was estimated using actigraphy. Findings demonstrated an association between parent-reported and psychophysiological arousal, including heart rate, peripheral skin temperature, and skin conductance responses during the child's bedtime routine. Both the parent report and psychophysiological measures of presleep arousal showed some associations with poorer sleep, with the most robust associations occurring between presleep arousal and sleep onset latency. Behavioral and biological measures of hyperarousal at bedtime are associated with poorer sleep in young children. Findings provide early evidence of the utility of wearable devices for assessing individual differences in presleep arousal in early childhood.

Objective/background: Behavioral Sleep Interventions (BSI) is an efficacious class of treatment approaches for infant sleep disturbance. Little is known about BSI implementation in the real world. Objectives were to a) examine the prevalence of BSI implementation and related factors in a diverse sample of US mothers; b) assess racial-ethnic group differences; and c) examine predictors of BSI implementation., Participants: Participants included mothers ( n = 353) with an infant (6-18 months) from one of the three racial-ethnic groups: White Hispanic ( n = 113), White non-Hispanic ( n = 122), Black non-Hispanic ( n = 118)., Methods: Respondents completed an online survey assessing BSI implementation, familiarity, barriers, sleep knowledge, cognitions, and sleep patterns., Results: Approximately one-third (36%) of the sample endorsed BSI implementation and 59% reported BSI familiarity. Black non-Hispanic mothers were more likely to report stopping a BSI prior to completion (OR = 4.92, p <.05) and more likely to hear about BSI from a health-care professional (OR = 1.32, p <.05) compared to White non-Hispanic mothers. Racial-ethnic group differences were identified for a variety of sleep practices, including bedsharing, independent sleep onset, and score on a validated measure of problematic sleep. No racial-ethnic group differences were found in BSI implementation, cognitions, or barriers. BSI implementation was predicted by BSI familiarity, more maternal education, and cognitions around infant self-soothing., Conclusions: Differential BSI implementation does not appear to be a major driver of sleep disparities, although Black non-Hispanic mothers who decide to implement BSI do report notably lower completion rates. Future studies should examine alternative mechanisms of sleep disparities as well as strategies to promote sleep health in diverse families.

This study examined the associations between sleep and challenging behaviors for average and night-to-night fluctuations in sleep, in 39 children with autism spectrum disorder (ASD) receiving intensive behavioral intervention (IBI). Child sleep was recorded (via actigraphy) for five nights in conjunction with clinician-reported observations of challenging behaviors. Results indicated that on average, poor sleep was associated with higher rates of repetitive behavior, negative affect, and a composite of overall challenging behaviors. These findings suggest that average sleep patterns are important within the context of IBI (rather than night-to-night fluctuations). Interventions aimed at improving overall patterns of sleep may have important cascading effects on challenging behaviors and developmental outcomes for children with ASD and their families.

The Children's Sleep Habits Questionnaire (CSHQ) is often used to assess sleep in children with autism spectrum disorder (ASD), but little is known about its factor structure in younger children with ASD. We evaluated alternative factor structures and measurement invariance for CSHQ items in 2- to 4-year-olds with ASD or typical development (TD). Bifactor models indicated subscales' variance was subsumed by a general factor predominantly reflecting sleep initiation and nighttime awakening items. A factor consisting of 7 of these items was measurement invariant across ASD and TD. Thus, comparisons between young children with ASD and TD is appropriate for a measure composed of 7 CSHQ items relating to sleep initiation and awakenings but not for other CSHQ item composites.

Sleep disorders (SD) are common in autism spectrum disorder (ASD), yet relatively little is known about the potential genetic mechanisms involved in SD and ASD comorbidity. The current study begins to fill this gap with a gene enrichment study that (1) identifies risk genes that contribute to both SD and ASD which implicate circadian entrainment, melatonin synthesis, and several genetic syndromes. An over-representation analysis identified several enriched pathways that suggest dopamine and serotonin synapses as potential shared SD and ASD mechanisms. This overlapping gene set and the highlighted biological pathways may serve as a preliminary stepping-stone for new genetic investigations of SD and ASD comorbidity.

This study examined the associations between sleep and challenging behaviors for average and night-to-night fluctuations in sleep, in 39 children with autism spectrum disorder (ASD) receiving intensive behavioral intervention (IBI). Child sleep was recorded (via actigraphy) for five nights in conjunction with clinician-reported observations of challenging behaviors. Results indicated that on average, poor sleep was associated with higher rates of repetitive behavior, negative affect, and a composite of overall challenging behaviors. These findings suggest that average sleep patterns are important within the context of IBI (rather than night-to-night fluctuations). Interventions aimed at improving overall patterns of sleep may have important cascading effects on challenging behaviors and developmental outcomes for children with ASD and their families.

Partners of veterans diagnosed with posttraumatic stress disorder (PTSD) are at risk of a variety of challenges, and it is unknown whether psychiatric service dogs are disruptive to their sleep or provide similar benefits that are seen in the limited literature on veterans. As part of a larger clinical trial examining the efficacy of psychiatric service dogs for veterans with PTSD and their families, this study focused on sleep patterns of veterans' partners (n = 88), incorporating both subjective (clinically validated self-report surveys) and objective sleep measures (actigraphy). Linear regression was used to analyze differences in relation to group (intervention versus control) at follow-up, controlling for baseline score. Results revealed no significant differences between groups for both the subjective surveys (p = 0.15; p = 0.75) and the objective actigraphy measures (p = 0.06–0.98). This suggests that psychiatric service dogs are not disruptive, nor do they provide any benefits to partner sleep. Partners had sleep patterns on par with national norms at baseline and remained at such levels at follow up. Ultimately, using both subjective and objective measures, we found no impact of psychiatric service dogs on the sleep of veterans' partners. Trial registration: ClinicalTrials.gov identifier: NCT03245814. [ABSTRACT FROM AUTHOR]

Sleep deficiency influences emotion and behavior regulation but the mechanisms of influence are poorly understood. Emotion, behavioral, and sleep theories highlight differences in autonomic function as a potential pathway of influence and research in typical populations draw links between sleep deficiency and autonomic dysregulation (e.g., elevated reactivity within the sympathetic nervous system). In populations at elevated risk for sleep deficiency/problems (i.e., individuals with autism), greater variability in sleep and autonomic/arousal profiles may be particularly informative. Using electrodermal activity (EDA) as an indicator of sympathetic nervous system activation, this descriptive pilot study aimed to document daytime EDA patterns in children with autism and to explore their relations with sleep dysregulation/deficiency. EDA and sleep were measured using ankle and wrist worn sensors in 13 children (Meanage 6.11 years). EDA indices included nonspecific skin conductance responses (NSSCR) and tonic skin conductance levels (SCL). Descriptively, children in the dysregulated sleep group had fewer NSSCRs and lower SCL in the afternoon. This blunted physiological arousal profile/pattern is consistent with previous research, but this is the first study to explore how sleep may be linked. Notably, this pattern may not reflect sleep but an overall dysregulation profile which in this sample included: dysregulated sleep, a blunted afternoon arousal profile, and elevated ASD symptom severity. Replication with larger, more diverse samples is needed to disentangle the complex relations among sleep, arousal, and ASD behavioral features. However, this study represents an important first step in documenting extended daytime arousal patterns. [ABSTRACT FROM AUTHOR]

Studies designed to assess the efficacy of behavioral sleep interventions for infants and young children often report sleep improvements, but the generalization to children and families of diverse backgrounds is rarely assessed. The present study describes a systematic review of the racial, ethnic, and socioeconomic diversity of behavioral sleep intervention studies for young children. Thirty-two behavioral sleep intervention studies (5474 children) were identified using PRISMA guidelines. Each study was coded for racial and ethnic composition, parental educational attainment (an index of socioeconomic resources), and country of origin. Racial or ethnic information was obtained for 19 studies (60%). Study participants were primarily White and from predominantly White countries. Overall, 21 (66%) of the included studies provided information on parental education. Most of these studies had samples with moderate to high educational attainment. Behavioral sleep intervention studies to date include samples with insufficient diversity. Overall, this study highlights a critical gap in pediatric sleep intervention research and supports a call to further include families from diverse backgrounds when assessing behavioral sleep interventions. [ABSTRACT FROM AUTHOR]

Background: Reducing red meat intake is commonly recommended. Limited observational studies suggest that healthy eating patterns with red meat are associated with improved quality of life.Objective: The secondary objectives of this randomized crossover controlled-feeding trial were to assess the effects of following a Mediterranean-style eating pattern (Med-Pattern) with different amounts of red meat on indexes of personal well-being (i.e., perceived quality of life, mood, and sleep) in overweight or obese adults. We hypothesized that following a Med-Pattern would improve these outcomes, independent of red meat intake amount.Methods: Forty-one participants [aged 46 ± 2 y; body mass index (kg/m2): 30.5 ± 0.6; n = 28 women, n = 13 men) were provided Med-Pattern foods for two 5-wk periods separated by 4 wk of self-selected eating. The Med-Red Pattern contained ∼500 g/wk (typical US intake), and the Med-Control Pattern contained ∼200 g/wk (commonly recommended intake in heart-healthy eating patterns) of lean, unprocessed beef or pork compensated with mainly poultry and dairy. Baseline and postintervention outcomes measured were perceived quality of life via the MOS 36-Item Short-Form Health Survey, version 2 (SF-36v2), daily mood states via the Profile of Mood States (POMS), sleep perceptions via the Pittsburgh Sleep Quality Index, and sleep patterns via actigraphy. Data were analyzed via a doubly repeated-measures ANOVA adjusted for age, sex, and body mass at each time point.Results: Following a Med-Pattern did not change domains of physical health, mental health, total mood disturbances, sleep perceptions, and sleep patterns but improved subdomains of physical health role limitations (SF-36v2: 93.6-96.7%; P = 0.038), vitality (SF-36v2: 57.9-63.0%; P = 0.020), and fatigue (POMS: 2.9-2.5 arbitrary units; P = 0.039). There were no differences between the Med-Red and Med-Control Patterns (time × pattern, P-interaction > 0.05).Conclusion: Following a Med-Pattern, independent of lean, unprocessed red meat intake, may not be an effective short-term strategy to meaningfully improve indexes of personal well-being in adults who are overweight or obese. This trial was registered at clinicaltrials.gov as NCT02573129. [ABSTRACT FROM AUTHOR]

Current theories of the glymphatic system (GS) hypothesize that it relies on cerebrospinal fluid (CSF) circulation to disseminate growth factors and remove metabolic waste from the brain with increased CSF production and circulation during sleep; thereby, linking sleep disturbance with elements of CSF circulation and GS exchange. However, our growing knowledge of the relations between sleep, CSF, and the GS are plagued by variability in sleep and CSF measures across a wide array of pathologies. Hence, this review aims to summarize the dynamic relationships between sleep, CSF-, and GS-related features in samples of typically developing individuals and those with autoimmune/inflammatory, neurodegenerative, neurodevelopmental, sleep-related, neurotraumatic, neuropsychiatric, and skull atypicalities. One hundred and ninety articles (total n = 19,129 participants) were identified and reviewed for pathology, CSF circulation and related metrics, GS function, and sleep. Numerous associations were documented between sleep problems and CSF metabolite concentrations (e.g., amyloid-beta, orexin, tau proteins) and increased CSF volumes or pressure. However, these relations were not universal, with marked differences across pathologies. It is clear that elements of CSF circulation/composition and GS exchange represent pathways influenced by sleep; however, carefully designed studies and advances in GS measurement are needed to delineate the nuanced relationships. [ABSTRACT FROM AUTHOR]