III. SLEEP ASSESSMENT METHODS

Quantifying the effects of sleep on sensor-derived variables from upper limb accelerometry in people with and without upper limb impairment

BACKGROUND

Despite the promise of wearable sensors for both rehabilitation research and clinical care, these technologies pose significant burden on data collectors and analysts. Investigations of factors that may influence the wearable sensor data processing pipeline are needed to support continued use of these technologies in rehabilitation research and integration into clinical care settings. The purpose of this study was to investigate the effect of one such factor, sleep, on sensor-derived variables from upper limb accelerometry in people with and without upper limb impairment and across a two-day wearing period.

METHODS

This was a secondary analysis of data collected during a prospective, longitudinal cohort study (n = 127 individuals, 62 with upper limb impairment and 65 without). Participants wore a wearable sensor on each wrist for 48 h. Five upper limb sensor variables were calculated over the full wear period (sleep included) and with sleep time removed (sleep excluded): preferred time, non-preferred time, use ratio, non-preferred magnitude and its standard deviation. Linear mixed effects regression was used to quantify the effect of sleep on each sensor variable and determine if the effect differed between people with and without upper limb impairment and across a two-day wearing period.

RESULTS

There were significant differences between sleep included and excluded for the variables preferred time (p < 0.001), non-preferred time (p < 0.001), and non-preferred magnitude standard deviation (p = 0.001). The effect of sleep was significantly different between people with and without upper limb impairment for one variable, non-preferred magnitude (p = 0.02). The effect of sleep was not substantially different across wearing days for any of the variables.

CONCLUSIONS

Overall, the effects of sleep on sensor-derived variables of upper limb accelerometry are small, similar between people with and without upper limb impairment and across a two-day wearing period, and can likely be ignored in most contexts. Ignoring the effect of sleep would simplify the data processing pipeline, facilitating the use of wearable sensors in both research and clinical practice.

Socioeconomic factors, sleep timing and duration, and amygdala resting-state functional connectivity in children

Introduction

Reduced sleep health has been consistently linked with increased negative emotion in children. While sleep characteristics have been associated with neural function in adults and adolescents, much less is known about these associations in children while considering socioeconomic context. In this study, we examined the associations among socioeconomic factors, sleep duration and timing, and resting-state functional connectivity (rsFC) of the amygdala in children.

Methods

Participants were typically-developing 5- to 9-year-olds from socioeconomically diverse families (61% female; N = 94). Parents reported on children's weekday and weekend bedtimes and wake-up times, which were used to compute sleep duration and midpoint. Analyses focused on amygdala-anterior cingulate cortex (ACC) connectivity followed by amygdala-whole brain connectivity.

Results

Lower family income-to-needs ratio and parental education were significantly associated with later weekday and weekend sleep timing and shorter weekday sleep duration. Shorter weekday sleep duration was associated with decreased amygdala-ACC and amygdala-insula connectivity. Later weekend sleep midpoint was associated with decreased amygdala-paracingulate cortex and amygdala-postcentral gyrus connectivity. Socioeconomic factors were indirectly associated with connectivity in these circuits via sleep duration and timing.

Discussion

These results suggest that socioeconomic disadvantage may interfere with both sleep duration and timing, in turn possibly altering amygdala connectivity in emotion processing and regulation circuits in children. Effective strategies supporting family economic conditions may have benefits for sleep health and brain development in children.

Construction and Initial Examination of Inter-Rater Reliability of a Structured Clinical Interview for DSM-5-TR Sleep Disorders (SCISD) - Kid

STUDY OBJECTIVES

To construct and evaluate the inter-rater reliability of the Structured Clinical Interview for DSM-5-TR Sleep Disorders - Kid (SCISD-Kid).

METHOD

The SCISD-Kid was modeled on the adult SCISD-R and accounted for pediatric developmental and sociocultural factors. Fifty sleep-disturbed children (Mage = 11.9, SD = 2.9) and 50 caregivers responded to the final SCISD-Kid. Video recordings were double-scored to evaluate inter-rater reliability.

RESULTS

The final SCISD-Kid contained approximately 90 questions. Eight of the nine covered disorders had prevalence rates sufficient for analyses for both samples (i.e., k > 2). Inter-rater reliability was examined using Cohen kappa coefficients (κ); reliability estimates ranged from excellent to good. For youth, restless legs syndrome yielded the lowest reliability (.48), while nightmare disorder, narcolepsy, and NREM sleep arousal disorder - sleepwalking type showed the highest reliability (1.00). Across caregivers, NREM sleep arousal disorder - sleep terror type (.49) and hypersomnolence (.54) had the lowest reliability. In contrast, circadian rhythm - delayed sleep phase type, nightmare disorder, and NREM sleep arousal disorder - sleepwalking type showed the highest reliability (1.00).

CONCLUSIONS

The SCISD-Kid is a promising tool for screening sleep disorders. It showed good to excellent reliability across both samples. Next steps for validation will be discussed.

Longitudinal study of childhood sleep trajectories and adolescent mental health problems

Study Objective

To investigate whether childhood sleep trajectories are associated with mental health symptoms such as social phobia, generalized anxiety, depression, attention deficit hyperactivity disorder (ADHD), conduct problems, and opposition at age 15.

Methods

A total of 2120 children took part in the Quebec Longitudinal Study of Child Development. Childhood sleep trajectories were computed from maternal reports at 2.5, 3.5, 4, 6, 8, 10, and/or 12 years. At age 15, 1446 adolescents filled out mental health and sleep questions. A path analysis model was assessed in the full sample.

Results

Four childhood nocturnal sleep duration trajectories were identified: (1) a short pattern (7.5%), (2) a short-increasing pattern (5.8%), (3) a 10 hours pattern (50.7%), and (4) an 11 hours pattern (36.0%). Three childhood sleep latency trajectories were found: (1) a short pattern (31.7%), (2) an intermediate pattern (59.9%), and (3) a long pattern (8.4%). Finally, two childhood wakefulness after sleep-onset trajectories were found: (1) a normative pattern (73.0%) and (2) a long pattern (27.0%). The path analysis model indicated that children following a long childhood sleep latency trajectory were more likely to experience symptoms of depression (β = 0.06, 95% CI: 0.01 to 0.12), ADHD (β = 0.07, 95% CI: 0.02 to 0.13), conduct problems (β = 0.05, 95% CI: 0.00 to 0.10) and opposition (β = 0.08, 95% CI: 0.02 to 0.13) at age 15.

Conclusions

This longitudinal study revealed that children presenting a long sleep latency throughout childhood are at greater risk of symptoms of depression, ADHD, conduct problems, and opposition in adolescence.

Sleep-Related Problems and Pediatric Anxiety Disorders

Sleep-related problems are highly prevalent among childhood and adolescent anxiety disorders. The objective of this review was to summarize the relevant clinical research literature as it pertains to the nature of the association between sleep-related problems and youth anxiety, developmental factors relevant to this association, and intervention efforts to target comorbid sleep challenges and anxiety. Limitations of the literature and future directions are discussed.

A multi-branch convolutional neural network for snoring detection based on audio

Obstructive sleep apnea (OSA) is associated with various health complications, and snoring is a prominent characteristic of this disorder. Therefore, the exploration of a concise and effective method for detecting snoring has consistently been a crucial aspect of sleep medicine. As the easily accessible data, the identification of snoring through sound analysis offers a more convenient and straightforward method. The objective of this study was to develop a convolutional neural network (CNN) for classifying snoring and non-snoring events based on audio. This study utilized Mel-frequency cepstral coefficients (MFCCs) as a method for extracting features during the preprocessing of raw data. In order to extract multi-scale features from the frequency domain of sound sources, this study proposes the utilization of a multi-branch convolutional neural network (MBCNN) for the purpose of classification. The network utilized asymmetric convolutional kernels to acquire additional information, while the adoption of one-hot encoding labels aimed to mitigate the impact of labels. The experiment tested the network's performance by utilizing a publicly available dataset consisting of 1,000 sound samples. The test results indicate that the MBCNN achieved a snoring detection accuracy of 99.5%. The integration of multi-scale features and the implementation of MBCNN, based on audio data, have demonstrated a substantial improvement in the performance of snoring classification.

Comparison of sleep parameters from wrist-worn ActiGraph and Actiwatch devices

Sleep and physical activity, two important health behaviors, are often studied independently using different accelerometer types and body locations. Understanding whether accelerometers designed for monitoring each behavior can provide similar sleep parameter estimates may help determine whether one device can be used to measure both behaviors. Three hundred and thirty one adults (70.7 ± 13.7 years) from the Baltimore Longitudinal Study of Aging wore the ActiGraph GT9X Link and the Actiwatch 2 simultaneously on the non-dominant wrist for 7.0 ± 1.6 nights. Total sleep time (TST), wake after sleep onset (WASO), sleep efficiency, number of wake bouts, mean wake bout length, and sleep fragmentation index (SFI) were extracted from ActiGraph using the Cole-Kripke algorithm and from Actiwatch using the software default algorithm. These parameters were compared using paired t-tests, Bland-Altman plots, and Deming regression models. Stratified analyses were performed by age, sex, and body mass index (BMI). Compared to the Actiwatch, the ActiGraph estimated comparable TST and sleep efficiency, but fewer wake bouts, longer WASO, longer wake bout length, and higher SFI (all p < .001). Both devices estimated similar 1-min and 1% differences between participants for TST and SFI (β = 0.99, 95% CI: 0.95, 1.03, and 0.91, 1.13, respectively), but not for other parameters. These differences varied by age, sex, and/or BMI. The ActiGraph and the Actiwatch provide comparable absolute and relative estimates of TST, but not other parameters. The discrepancies could result from device differences in movement collection and/or sleep scoring algorithms. Further comparison and calibration is required before these devices can be used interchangeably.

Longitudinal relations between interpartner aggression and internalizing symptoms among couples: The moderating role of sleep

Recipients of interpartner aggression often experience internalizing symptoms. However, individual differences exist, and elucidation of factors that attenuate or exacerbate risk are needed to explicate relations and better inform interventions aimed at reducing mental health sequelae of interpartner aggression. Sleep problems compromise coping abilities and are known to exacerbate risk for mental health problems in the context of family risk. We examined whether sleep problems moderated the extent to which the recipients of interpartner aggression experience internalizing symptoms over time. At the first wave, 194 couples participated (M age [women] = 41.81 years, SD = 5.85; M age [men] = 43.75 years, SD = 6.74; 71% White/European American, 26% Black/African American, 3% other race/ethnicity). Two years later, couples returned for a second wave. Psychological and physical forms of interpartner aggression were measured using self- and partner-reports. Sleep duration (minutes) and sleep quality (efficiency) were derived using actigraphy, and subjective sleep/wake problems were also assessed. Individuals self-reported on their own internalizing symptoms. After controlling for autoregressive effects, sleep moderated the extent to which the recipients of interpartner aggression experienced internalizing symptoms longitudinally. Lower sleep efficiency and more subjective sleep/wake problems among women exacerbated the extent to which interpartner aggression forecasted their internalizing symptoms. Lower sleep efficiency among men magnified relations between interpartner aggression and their internalizing symptoms. Findings help understand the multiplicative influence that family risk and sleep problems have on mental health over time.

Childhood sleep: assessments, risk factors, and potential mechanisms

BACKGROUND

Sleep problem is a highly prevalent health issue among pediatric populations across the world. In this review, we aimed to identify risk factors contributing to sleep deficiency and poor sleep hygiene in children. Potential biological, psychosocial, and environmental mechanisms as well as research gaps in the literature are also discussed.

DATA SOURCES

A comprehensive search for relevant English language full-text, peer-reviewed publications was performed focusing on pediatric sleep studies from prenatal to childhood and adolescence in a variety of indexes in PubMed, SCOPUS, and Psych Info. Both relevant data based and systematic reviews are included.

RESULTS

This paper summarizes many risk factors for childhood sleep problems, including biological (e.g., genetics, gender, age and puberty, prenatal factors, postnatal factors); nutritional (e.g., macronutrients, micronutrients, omega-3 fatty acids, obesity); environmental (e.g., heavy metals, noise, light, air pollution); interpersonal (e.g., family, exposure to violence, screen media use, physical injury); and community/socioeconomic variables (e.g., racial/ethnicity and cultural factors, neighborhood conditions and socioeconomic status, school factors, public health disasters/emergencies), to better understand the development of sleep problems in children.

CONCLUSIONS

Poor childhood sleep is a multifactorial issue affected by a wide range of prenatal and early-life biological, environmental, and psychosocial risk factors and contributors. A better understanding of these risk factors and their mechanisms is an important first step to develop future research and prevention programs focusing on pediatric sleep problems.

Exploring the relationship of cognitive function with and without COVID-19 recovered schizophrenic patients

Background

The Coronavirus disease 2019 (COVID-19) is linked to the deterioration of cognitive function among individuals suffering from schizophrenia. The purpose of this study was to compare the cognitive performance of schizophrenic patients before and after COVID-19.

Methods

A longitudinal cohort study involving a sample of 219 individuals diagnosed with schizophrenia was enrolled between June 2022 and May 2023. The participants were split into two groups infected with COVID-19 (n = 165) and not infected with COVID-19 (n = 54). The data were gathered via a questionnaire on demographic characteristics, the Brief Assessment of Cognition in Schizophrenia (BACS), the Positive and Negative Syndrome Scale (PANSS), the Calgary Depression Scale for Schizophrenia (CDSS), the Activities of Daily Living (ADL) scale, and the Insomnia Severity Index (ISI).

Results

The repeated-measures ANOVA showed that Among patients diagnosed with COVID-19, there was a deterioration in global cognitive function (before COVID-19 = -2.45 vs. after COVID-19 = -3.02, p = 0.007), working memory (before COVID-19 = -2.76 vs. after COVID-19 = -3.34, p < 0.00 1), motor speed (before COVID-19 = -1.64 vs. after COVID-19 = -2.12, p < 0.001), attention and speed of information processing (before COVID-19 = -1.93 vs. after COVID-19 = -1.16, p = 0.008). multi-variable analysis showed that several factors as having a secondary grade of education (β = 0.434), experiencing insomnia (β = 0.411)and the interaction between COVID-19 diagnosis and cognition at baseline (β = 0.796) were significantly associated with cognitive deficits. At the same time, no significant associations were found between global cognition and clinical symptoms, autonomy, or depression (p > 0.05).

Conclusion

The COVID-19 pandemic has significantly impacted various cognitive functions, such as verbal memory, working memory, and global cognition. Insomnia has been identified as the predominant determinant of cognitive impairment, alongside the confirmation of a COVID-19 diagnosis. Additional research is imperative to elucidate the diversification of cognitive functionality observed in individuals diagnosed with schizophrenia who have acquired COVID-19.

Development and content validity of an application to assess 24-hour movement behaviors in 0-4-year-old children involving end-users and key stakeholders: the My Little Moves app

BACKGROUND

Recently, research focus has shifted to the combination of all 24-h movement behaviors (physical activity, sedentary behavior and sleep) instead of each behavior separately. Yet, no reliable and valid proxy-report tools exist to assess all these behaviors in 0-4-year-old children. By involving end-users (parents) and key stakeholders (researchers, professionals working with young children), this mixed-methods study aimed to 1) develop a mobile application (app)-based proxy-report tool to assess 24-h movement behaviors in 0-4-year-olds, and 2) examine its content validity.

METHODS

First, we used concept mapping to identify activities 0-4-year-olds engage in. Parents (n = 58) and professionals working with young children (n = 21) generated a list of activities, sorted related activities, and rated the frequency children perform these activities. Second, using multidimensional scaling and cluster analysis, we created activity categories based on the sorted activities of the participants. Third, we developed the My Little Moves app in collaboration with a software developer. Finally, we examined the content validity of the app with parents (n = 14) and researchers (n = 6) using focus groups and individual interviews.

RESULTS

The app has a time-use format in which parents proxy-report the activities of their child, using eight activity categories: personal care, eating/drinking, active transport, passive transport, playing, screen use, sitting/lying calmly, and sleeping. Categories are clarified by providing examples of children's activities. Additionally, 1-4 follow-up questions collect information on intensity (e.g., active or calm), posture, and/or context (e.g., location) of the activity. Parents and researchers considered filling in the app as feasible, taking 10-30 min per day. The activity categories were considered comprehensive, but alternative examples for several activity categories were suggested to increase the comprehensibility and relevance. Some follow-up questions were considered less relevant. These suggestions were adopted in the second version of the My Little Moves app.

CONCLUSIONS

Involving end-users and key stakeholders in the development of the My Little Moves app resulted in a tailored tool to assess 24-h movement behaviors in 0-4-year-olds with adequate content validity. Future studies are needed to evaluate other measurement properties of the app.

Latent Profiles of Sleep Patterns in Early Adolescence: Associations With Behavioral Health Risk

PURPOSE

The present study characterized sleep profiles in a national longitudinal sample of early adolescents and examined whether profiles predicted later behavioral problems.

METHODS

Three waves of data (2016-2021) were obtained from the Adolescent Behavior and Cognitive Development study, including 3,326 participants with both weekday and weekend sleep data measured by Fitbit wearables (age range 10.58-13.67 years; 49.3% female). Latent profile analysis was utilized to identify sleep profiles using multiple sleep indicators (duration, latency, efficiency, wake minutes, wake counts, and midpoint). We then explored whether demographic predictors predicted profile membership and tested the latent sleep profiles' predictive utility of internalizing and externalizing symptoms.

RESULTS

Four profiles were identified: average sleep (40.39%), high duration & high wakefulness (28.58%), high efficiency, low duration &low wakefulness (16.86%), and low duration & low efficiency (14.17%). Participants with older age, males, higher body mass index, and advanced pubertal status were more likely to be classified in the low duration & low efficiency profile than the average group. Participants with lower income, minority identification, older age, and higher body mass index were more likely to be classified in the high efficiency, low duration &low wakefulness than the average group. Participants with lower parental education and males were more likely to be in the high sleep duration & high wakefulness than the average group. The low duration & low efficiency group had the highest attention problems, social problems, and rule-breaking behaviors.

DISCUSSION

Our findings highlight unique sleep patterns in early adolescence and their prospective links with internalizing and externalizing problems.

Microbiota Composition and Probiotics Supplementations on Sleep Quality-A Systematic Review and Meta-Analysis

The gut microbiota (GM) plays a crucial role in human health. The bidirectional interaction between GM and the central nervous system may occur via the microbiota-gut-brain axis, possibly regulating the sleep/wake cycle. Recent reports highlight associations between intestinal dysbiosis and sleep disorders, suggesting that probiotics could ameliorate this condition. However, data are poor and inconsistent. The aim of this quantitative metanalytic study is to assess the GM composition in sleep disturbances and evaluate probiotics' effectiveness for managing sleep disorders. A systematic review was carried out until July 2022 in online databases, limiting the literature research to human studies and English language articles. No significant GM diversity between patients with sleep disturbances versus healthy controls was found, revealed by α-diversity, while β-diversity is missing due to lack of proper reporting. However, probiotics supplementation significantly reduced the self-assessed parameter of sleep quality and disturbances Pittsburgh Sleep Quality Index (PSQI) score compared with the placebo. No difference in the Epworth Sleepiness Scale (ESS) score was found. While available data suggest that GM diversity is not related to sleep disturbances, probiotics administration strongly improves sleep quality as a subjective perception. However, heterogeneity of data reporting in the scientific literature should be considered as a limitation.

Few-shot EEG sleep staging based on transductive prototype optimization network

Electroencephalography (EEG) is a commonly used technology for monitoring brain activities and diagnosing sleep disorders. Clinically, doctors need to manually stage sleep based on EEG signals, which is a time-consuming and laborious task. In this study, we propose a few-shot EEG sleep staging termed transductive prototype optimization network (TPON) method, which aims to improve the performance of EEG sleep staging. Compared with traditional deep learning methods, TPON uses a meta-learning algorithm, which generalizes the classifier to new classes that are not visible in the training set, and only have a few examples for each new class. We learn the prototypes of existing objects through meta-training, and capture the sleep features of new objects through the "learn to learn" method of meta-learning. The prototype distribution of the class is optimized and captured by using support set and unlabeled high confidence samples to increase the authenticity of the prototype. Compared with traditional prototype networks, TPON can effectively solve too few samples in few-shot learning and improve the matching degree of prototypes in prototype network. The experimental results on the public SleepEDF-2013 dataset show that the proposed algorithm outperform than most advanced algorithms in the overall performance. In addition, we experimentally demonstrate the feasibility of cross-channel recognition, which indicates that there are many similar sleep EEG features between different channels. In future research, we can further explore the common features among different channels and investigate the combination of universal features in sleep EEG. Overall, our method achieves high accuracy in sleep stage classification, demonstrating the effectiveness of this approach and its potential applications in other medical fields.

Are parent-reported sleep logs essential? A comparison of three approaches to guide open source accelerometry-based nocturnal sleep processing in children

We examined the comparability of children's nocturnal sleep estimates using accelerometry data, processed with and without a sleep log. In a secondary analysis, we evaluated factors associated with disagreement between processing approaches. Children (n = 722, age 5-12 years) wore a wrist-based accelerometer for 14 days during Autumn 2020, Spring 2021, and/or Summer 2021. Outcomes included sleep period, duration, wake after sleep onset (WASO), and timing (onset, midpoint, waketime). Parents completed surveys including children's nightly bed/wake time. Data were processed with parent-reported bed/wake time (sleep log), the Heuristic algorithm looking at Distribution of Change in Z-Angle (HDCZA) algorithm (no log), and an 8 p.m.-8 a.m. window (generic log) using the R-package 'GGIR' (version 2.6-4). Mean/absolute bias and limits of agreement were calculated and visualised with Bland-Altman plots. Associations between child, home, and survey characteristics and disagreement were examined with tobit regression. Just over half of nights demonstrated no difference in sleep period between sleep log and no log approaches. Among all nights, the sleep log approach produced longer sleep periods (9.3 min; absolute mean bias [AMB] = 28.0 min), shorter duration (1.4 min; AMB = 14.0 min), greater WASO (11.0 min; AMB = 15.4 min), and earlier onset (13.4 min; AMB = 17.4 min), midpoint (8.8 min; AMB = 15.3 min), and waketime (3.9 min; AMB = 14.8 min) than no log. Factors associated with discrepancies included smartphone ownership, bedroom screens, nontraditional parent work schedule, and completion on weekend/summer nights (range = 0.4-10.2 min). The generic log resulted in greater AMB among sleep outcomes. Small mean differences were observed between nights with and without a sleep log. Discrepancies existed on weekends, in summer, and for children with smartphones and screens in the bedroom.

Maternal Prenatal Depressive Symptoms and Infant Sleep Problems: The Role of Infant Temperament and Sex

OBJECTIVES

We aimed to analyze whether (1) infant temperament mediates the impact of maternal prenatal depressive symptoms on infant sleep problems and (2) the mediation role of infant temperament was moderated by the infant's sex.

METHODS

The sample was comprised of 172 mother-infant dyads. Mothers completed self-reported measures of prenatal and postnatal depressive symptoms, infant temperament (negative affectivity, surgency/extraversion, and orienting regulation), and sleep problems.

RESULTS

While controlling for maternal postnatal depressive symptoms, our results revealed that (1) infant negative affectivity at two weeks partially mediated the impact of maternal prenatal depressive symptoms on sleep anxiety at six months, and (2) this mediation is independent of the infant's sex.

CONCLUSIONS

Our findings provided evidence that negative affectivity can be an early specific marker of sleep anxiety and can partially explain the negative impact of maternal prenatal depressive symptoms on further sleep problems in the infant.

Let's Talk about Sleep Baby: Sexual Activity Postpartum and Its Links with Room Sharing, Parent Sleep, and Objectively Measured Infant Sleep and Parent Nighttime Crib Visits

The postpartum period may pose a considerable challenge for both parent sleep and sexual activity. This study assessed the links between partnered sexual frequency and satisfaction postpartum and parent sleep, infant sleep, parent nighttime caregiving, and parent-infant room sharing. Participants were 897 parents of infants aged 1-18-months (M = 8.8 ± 4.3, 49% girls). Parents completed an online survey about their sexual frequency and satisfaction, sleep, relationship satisfaction, depression, and demographic characteristics. Infant sleep and parent nighttime crib visits were measured objectively using auto-videosomnography during 2-weeks, with 8,460 nights assessed. Results indicated that the frequency of partnered sexual activity was 3.8 ± 4.2 times per month. Frequency of sexual activity increased with infant age, yet increases beyond the first 6 months postpartum were non-significant. Adjusted GEE modeling revealed that more parent nighttime crib visits were significantly associated with lower sexual frequency, regardless of infant age. Other parent and infant sleep-related factors were not significantly linked with sexual frequency in adjusted models. Moreover, sexual satisfaction was not associated with parent nighttime caregiving, parent or infant sleep, or parent-infant sleeping arrangements in adjusted models, suggesting that it may not be susceptible to the effects of disrupted sleep in the postpartum period. These findings suggest that it is not infant or parent sleep disruption per se, but rather parent nighttime engagement with the infant that is associated with parent sexual activity frequency. Longitudinal investigations are warranted to examine the directional pathways of these links.

Sleepless on the road: Are mothers of infants with insomnia at risk for impaired driving?

Infant sleep problems have been associated with a myriad of adverse child and parent outcomes, yet whether these problems may pose a risk for parents on the road has received little research attention. This study sought to test whether mothers of infants with insomnia are at an elevated risk for vehicular crashes, by comparing their objectively measured driving performance with that of mothers of well-sleeping infants and with that of women without children. Fifty-four women from these three groups completed a simulated driving task. Outcome measures included standard deviation of lateral position, number of lane crossings, standard deviation of speed, average speed and maximum speed. Women additionally reported on their driving behaviour using the Driving Behaviour Questionnaire, and on sleep, sleepiness and insomnia symptoms using 7-day sleep diaries and questionnaires. Mothers of infants with insomnia demonstrated greater lane deviation (Wald = 9.53, p = 0.009), higher maximum speed (Wald = 6.10, p = 0.04) and poorer self-rated driving behaviour (Wald = 7.44, p = 0.02) compared with control groups. Analyses also indicated that driving performance in mothers of infants with insomnia tended to be poorer relative to control groups with the progression of time on task. While further research is needed to assess the scope of these effects, our findings suggest that parents, healthcare providers and policymakers should be aware of the potential consequences of infant sleep problems on road safety, and collaborate to establish strategies to mitigate these risks.

A preliminary study on the performance of the Nanit auto-videosomnography scoring system against observed video scoring and actigraphy to estimate sleep-wake states in infants

GOAL AND AIMS

To examine the performance of the Nanit auto-videosomnography scoring system as a measure of sleep-wake states in infants compared to observed video scoring and actigraphy.

FOCUS TECHNOLOGY

Nanit's auto-videosomnography scoring system.

REFERENCE

Observed video scoring and actigraphy.

SAMPLE

Sixteen U.S. infants (age: 4-8 months).

DESIGN

Infants' sleep was assessed with the Nanit camera and actigraphy (micromotion logger sleep watch). Fifty nights were included in the analyses. Nanit's videos were processed via a computer vision algorithm and were scored by trained observers. Actigraphic data were scored with the validated Sadeh algorithm.

CORE ANALYTICS

Bland-Altman plots and epoch-by-epoch analyses (sensitivity, specificity, and total accuracy).

ADDITIONAL ANALYTICS

Specificity values for each night separately.

CORE OUTCOMES

Nanit estimates of sleep minute were not significantly different from observed sleep minute, but Nanit overestimated sleep minute relative to actigraphy by 17 minutes. Nanit overestimated wake minutes (wake after sleep onset by 5.3 minutes relative to observed scoring and underestimated wake after sleep onset by 19.1 minutes relative to actigraphy. The epoch-by-epoch analyses revealed that Nanit reached 97.8% sensitivity in classifying sleep and 60.4% specificity in classifying wake compared to observed scoring. The rates compared to actigraphy were 99.3% for sensitivity and 51.7% for specificity.

IMPORTANT ADDITIONAL OUTCOMES

Specificity values were lower for infants with lower wake after sleep onset.

CORE CONCLUSION

This preliminary study suggests that Nanit is highly accurate in detecting infant sleep compared to observed scoring and actigraphy. Specificity values are within the range of those reported previously for actigraphy devices that are commonly used in pediatric sleep research.

Portrait of sleep in preschoolers involved with Child Protective Services and from the community

OBJECTIVES

The objectives of this exploratory study were: 1) to draw a portrait of sleep, using actigraphic sleep measures, sleep diaries and a validated sleep questionnaire in preschoolers (3- to 5-year-olds) involved with Child Protective Services (CPS) and to compare it with preschoolers from the community, not involved with CPS and 2) to verify whether the sleep differences between the two groups persisted after adjusting for covariates (sociodemographic and child characteristics).

METHODS

A total of 92 preschoolers aged from 3 to 5 years (49,5 ± 7,0 months) participated in the study (n = 22 preschoolers involved with CPS and n = 70 preschoolers from the community). Actigraphic sleep parameters were recorded using the child's non-dominant wrist over 72 h during weekdays and sleep diaries were filled out by parents (for nighttime) and childcare specialists (for daytime). Parents filled out the Child Sleep Habits Questionnaires (CSHQ) to measure their perception of their child's sleep. Chi-square tests, ANOVAs, and linear regressions were used to analyze the data and adjust for covariates (sociodemographic and child characteristics).

RESULTS

Preschoolers involved with CPS took longer to fall asleep and signaled significantly fewer nighttime awakenings to their parents compared to the group of preschoolers from the community. These significant effects were still present after adjusting for covariates (sociodemographic and child characteristics).

CONCLUSIONS

Understanding the underpinnings of these sleep differences by exploring their possible links with daytime cortisol production, sleep ecology and parent-child attachment are interesting avenues for future research.

Concordance of objective and subjective measures of sleep in children with neurodevelopmental conditions: A systematic review and meta-analysis

The purpose of this systematic review and meta-analysis is to delineate the concordance of objective and subjective measures of sleep in children with neurodevelopmental conditions (NDCs). A systematic literature search identified 31 studies that compare objective and subjective estimates of sleep parameters in autism, ADHD or rare genetic syndromes associated with intellectual disability. The meta-analyses revealed smaller mean differences and larger correlations indicative of greater concordance for parameters associated with sleep scheduling compared to parameters associated with sleep duration and night awakenings. Relative to objective measures, subjective measures produced: 1) greater estimates of total sleep time, sleep efficiency and time in bed; and 2) lower estimates of wake after sleep onset and number of night awakenings. Subgroup analyses also revealed differences in concordance between measurement comparison types (e.g., stronger correlations between actigraphy and sleep diaries, compared to actigraphy and questionnaires) and NDC diagnostic groups. The results predominantly replicate concordance trends observed in typically-developing samples, although some NDC-specific patterns of concordance were identified. This indicates that objective and subjective sleep measures retain broadly similar properties across populations, although researchers and clinicians should be cautious of the impact of NDC-related characteristics on sleep parameter estimates. These findings should inform sleep assessment design and the interpretation of sleep parameter estimates in NDCs, increasing the rigour of sleep parameter description across research and clinical settings.

Sleep of mothers, fathers, and infants: a longitudinal study from pregnancy through 12 months

STUDY OBJECTIVES

This study assessed and compared mothers' and fathers' sleep trajectories from pregnancy and throughout the first year of the infant's life. We also examined associations between maternal, paternal, and infant sleep.

METHODS

Two hundred and thirty-two couples were recruited for the study during pregnancy. Data were collected during pregnancy and at 4, 8, and 12 months postpartum. Maternal, paternal, and infant sleep were monitored at home for seven nights, using actigraphy, sleep diaries, and the Insomnia Severity Index (ISI).

RESULTS

Mothers showed more impaired sleep quality than fathers, at all assessments, whereas fathers had shorter sleep duration. Based on the ISI, about 70% of mothers and 50% of fathers showed at least subclinical insomnia at the different assessments. Trajectory analyses (controlling for feeding method and sleeping arrangements) demonstrated a significant deterioration in diary-based and actigraphy sleep quality for both parents, from pregnancy to 4 months. Both parents and infants had an increase in sleep quality from 4 to 12 months, though some parental sleep variables showed a quadratic pattern with a decrease in sleep quality at 8 months. Statistically significant triadic associations at the different assessments were found between mothers', fathers', and infants' sleep. Maternal and infant sleep measures were more strongly correlated than paternal and infant sleep.

CONCLUSIONS

The findings highlight the importance of considering the family context of sleep, by demonstrating similarities and differences in the changes that sleep undergoes in new mothers and fathers and by showing how sleep is interrelated between all family members.

Neighborhood environment and adolescent sleep: The role of family socioeconomic status

OBJECTIVES

Socioeconomic status (SES) and neighborhood context are influential predictors of adolescent sleep, yet little is known about how they may interact to influence sleep. We examined multiple dimensions of family SES as moderators of associations between neighborhood risk and multiple sleep parameters.

METHODS

Participants were 323 adolescents (Mage = 17.4 years, SD = 0.86; 48% male; 60% White/European American, 40% Black/African American). Sleep was assessed using 7 nights of actigraphy from which sleep duration (minutes from onset to wake time), efficiency, long wake episodes, and variability in minutes over the week were derived. Youth reported on their sleep/wake problems and sleepiness, as well as their perceptions of safety and violence in their neighborhoods. Parents reported on SES indices, including income-to-needs ratio and perceived financial stability.

RESULTS

Lower SES (income-to-needs, perceived financial stability) was associated with lower sleep efficiency and more frequent long wake episodes. Lower neighborhood safety and greater community violence concerns were related to greater subjective sleep problems. Moderation effects illustrated two general patterns. For actigraphy-derived sleep variables, lower neighborhood safety was associated with poor sleep only among youth from lower-income families. For subjective sleep/wake problems and daytime sleepiness, associations between neighborhood risk and sleep difficulties were pronounced for higher SES youth, while lower SES youth had greater sleep problems regardless of neighborhood factors.

CONCLUSIONS

Findings suggest that several dimensions of SES and neighborhood risk may be consequential for adolescents' sleep. Moderation effects highlight the significance of considering multiple contextual influences towards a better understanding of adolescents' sleep.

Understanding the impacts of childhood adversity on sleep problems in children with fetal alcohol spectrum disorder: A comparison of cumulative and dimensional approaches

BACKGROUND

The developmental impacts of prenatal alcohol exposure (PAE) and postnatal exposure to adversity are typically considered in isolation. However, both contribute independently to sleep problems. Children with fetal alcohol spectrum disorder (FASD) have PAE and significant sleep disturbances. What is not clear is the relative contribution to these disturbances of exposure to early life adversity. This study examined how exposure to such adversity impacts frequent insomnia symptoms and nightmares in children with FASD and "At Risk" designations.

METHODS

We compared two approaches to modeling adversity in children who had undergone a diagnostic assessment for FASD: a cumulative risk approach that sums adversities to create a total score and an approach that treats exposure to threat and deprivation as independent dimensions. Data on caregiver-reported exposure to adversity and sleep problems for 63 children (aged 3 years 4 months to 7 years 8 months) were extracted from clinical archives. Cumulative risk, threat exposure, and deprivation exposure scores were computed and were tested as predictors of insomnia symptoms and nightmares. All analyses controlled for age and gender.

RESULTS

There were high rates of caregiver-reported sleep problems with 60.3% (n = 38) of children having nightmares and 44.4% (n = 28) having a frequent insomnia symptom. The cumulative risk analysis showed that for every additional exposure to adversity, the odds of having a caregiver-reported insomnia symptom increased by 38%. The dimensional analysis showed no relationship between deprivation and sleep problems. However, every additional exposure to threat increased the odds of nightmares by 93%.

CONCLUSIONS

Exposure to postnatal adversity contributes to sleep disturbances in children with FASD, with unique roles for cumulative risk and the threat dimension of adversity. The implications of these findings for the etiology and treatment of sleep disturbances in children with FASD are discussed.

Habitual sleep and intraindividual variability of sleep in gifted children: an actigraphy study

STUDY OBJECTIVES

Giftedness is a multidimensional condition. It is increasingly put forward that gifted children (GC) could be a population at high risk for sleep problems. The current study investigated GC and typically developing children for their habitual sleep, night-to-night sleep variability, and parental reports of child sleep.

METHODS

The sample consisted of 62 GC (31 girls; mean age = 9.63 ± 1.71 years) and 62 typically developing children (31 girls; mean age = 9.68 ± 1.68 years). Groups were age and sex matched. Giftedness was identified using Renzulli's 3-factor definition of giftedness. Sleep duration, quality, and night-to-night variability were assessed using actigraphy. Parents were asked to complete the short-form version of the Children's Sleep Habits Questionnaire to report on their child's sleep. Groups were compared with independent sample t-tests and chi-square analyses.

RESULTS

GC displayed lower sleep efficiencies, more wake time after sleep onset, and more night-to-night sleep variability than typically developing children. GC were found to experience less social jetlag compared to typically developing children, and they also showed more clinically significant sleep problems as reported by parents.

CONCLUSIONS

Sleep maintenance and stability tend to be challenged in GC. While there is growing evidence that greater sleep variability is associated with poorer physical and emotional health, studies have yet to examine these associations in GC specifically to get a better understanding of giftedness. Overall, there is a need for research focused on both predictors and consequences of sleep patterns and sleep variability in GC.

CITATION

Bastien L, Théoret R, Bernier A, Godbout R. Habitual sleep and intraindividual variability of sleep in gifted children: an actigraphy study. J Clin Sleep Med. 2023;19(5):925-934.

Implementation of Behavioral Interventions for Infant Sleep Problems in Real-World Settings

OBJECTIVES

To compare the real-world frequency, timing, duration, difficulty, and helpfulness of 3 infant Behavioral Sleep Intervention (BSI) approaches: Unmodified Extinction, Modified Extinction, and Parental Presence and to examine the effectiveness and safety of these approaches by comparing infant sleep, parent sleep, daytime sleepiness, depression, and parent-infant bonding between parents who had and had not implemented these interventions.

STUDY DESIGN

Participants were 2090 parents (75% mothers, 79% White/Caucasian) of US infants (49% girls) aged 3-18 months (M = 9.1, SD = 4.1). Parents completed online questionnaires regarding their infant's sleep, their own sleep, daytime sleepiness, depression levels, and parent-infant bonding. Infant sleep was assessed via objective-albeit exploratory-autovideosomnography data obtained from the 14 days prior to survey completion.

RESULTS

Sixty-four percent of parents reported implementing BSIs. The average age at intervention was 5.3 months (SD = 2.6). Unmodified and Modified Extinction were rated as significantly more difficult to implement compared with Parental Presence but also as more helpful, shorter, and quicker to show improvements. Infant nighttime sleep was longer and more consolidated in the Unmodified and Modified Extinction groups compared with the Parental Presence and non-BSI groups. No differences were found between BSI groups in parent sleep, sleepiness, depression, or parent-infant bonding.

CONCLUSIONS

Implementation of BSIs outside clinical settings is pervasive and occurs earlier than generally recommended. Unmodified and Modified Extinction were associated with longer and more consolidated infant sleep. Despite concerns regarding the potential harm of BSIs, implementation of these approaches was not linked with negative outcomes, providing additional evidence for their safety and effectiveness.

Relationship between family income and trajectories of adjustment in adolescence: Sleep and physical activity as moderators

INTRODUCTION

Youth from lower-income families experience adjustment problems at higher rates than higher-income peers. While adolescents have little control over family income, they do have some agency over their sleep and physical activity, two factors that have been shown to mitigate the risk of maladjustment. To test this, sleep and physical activity were examined as moderators of the longitudinal relationship between family income (indexed by income-to-needs ratio) and trajectories of adolescent adjustment problems.

METHODS

Participants included a socioeconomically diverse community sample of 252 US youth (53% female; 33% Black, 67% White) in 2012-2015. Actigraphy-based sleep duration and quality were indexed, respectively, by minutes (sleep onset to wake excluding awakenings) and efficiency (% minutes scored as sleep from onset to wake). Physical activity and adjustment were youth-reported. Outcomes included internalizing (anxious/depressive) and rule-breaking behavior. Latent growth models estimated trajectories of adjustment across ages 16 and 18 years conditional on family income, sleep, physical activity, and their interactions.

RESULTS

Relationships between family income and change in internalizing symptoms were moderated by sleep minutes, and associations between income and change in internalizing symptoms and rule-breaking behavior were moderated conjointly by sleep efficiency and physical activity.

CONCLUSIONS

Under conditions of high-quality sleep and more physical activity, adolescents with lower income reported fewer adjustment problems. Conversely, youth with both poor sleep and low physical activity were at the highest risk for maladjustment over time. Findings enhance understanding of individual differences in trajectories of mental health associated with bioregulation, health behaviors, and the sociocultural context.

The Impact of Temperature on 24-Hour Movement Behaviors among Chinese Freshmen Students

BACKGROUND

Human populations worldwide have experienced substantial climate change issues. Gaps in scientific literature remain regarding the relationship between temperature and 24-hour movement behavior among people. The purpose of this study is to examine the impact of temperature on 24-hour movement behavior including physical activity (PA), sedentary behavior (SB) and sleep duration among university students living in Beijing, China.

METHODS

We conducted follow-up health surveys on 44,693 freshmen students enrolled at Tsinghua University from 2012 to 2018. PA and SB were measured by using the short version of the International Physical Activity Questionnaire (IPAQ-s); sleep duration was estimated by using The Pittsburgh Sleep Quality Index (CPSQI). Corresponding temperature data measured by the Beijing Meteorological Service were collected to include average daily temperature from the nearest weather station to Tsinghua university. The data were analyzed using linear individual fixed-effect regressions.

RESULTS

An increase in temperature (temperature range 2.29-28.73 °C) by 1 °C was associated with an increase in 0.66 weekly minutes of vigorous physical activity (VPA) (95% confidence interval [CI] = 0.49, 0.82), an increase in 0.56 weekly minutes of moderate physical activity (MPA)(95% CI = 0.32, 0.79), an increase in 1.21 weekly minutes of moderate to vigorous physical activity (MVPA) (95% CI = 0.90, 1.53), an increase in 0.55 weekly minutes of walking (95% CI = 0.31, 0.78), an increase in 1.76 weekly minutes of total PA (95% CI = 1.35, 2.17), and a reduction in 1.60 weekly minutes of sleeping (95% CI = -2.09, -1.11). There was no significant correlation between temperature and sedentary behavior among participants.

CONCLUSIONS

Temperature was significantly positively correlated with physical activity levels in the Chinese freshmen students, and significantly negatively correlated with sleep duration. Replication of this study is warranted among various populations within China. The evidence of this novel study focused on understanding the relationship between climate change and 24-hour movement behaviors among people for developing effective adaptation strategies to climate change to improve people's health behavior. This study has important implications for future study, as knowledge of the impact of temperature on movement behavior may help in the interpretation of their results and translate into improving people's health behavior.

Transitioning a Research Protocol for Videosomnography to Assess Sleep and Nighttime Caregiving Activities in School-Aged Children With Developmental Disabilities During the COVID-19 Pandemic

INTRODUCTION

The COVID-19 pandemic significantly affected children with developmental disabilities (DDs)' sleep. Videosomnography is a noninvasive, portable time-lapse video recording system to objectively obtain a child's sleep-wake behaviors and parents' caregiving activities in a natural environment.

METHOD

From September 2020 to February 2021, we conducted a feasibility study using actigraphy (in mothers) and videosomnography in children with DDs for seven consecutive nights to assess sleep and nighttime caregiving activities. Because of the pandemic, we developed and implemented alternative data collection strategies, such as delivering a "study package" with easy-to-follow written instructions and emailed video-recorded instructions on recording a child's sleep.

RESULTS

We aimed to enroll 10 mothers and 10 school-aged children with DDs and achieved this goal. Nine out of 10 mothers completed video recordings of their child's sleep, with only 10% missing data for videosomnography.

DISCUSSION

This paper shared adaptations to our videosomnography protocol and lessons learned.

Socioeconomic disparities in sleep duration are associated with cortical thickness in children

INTRODUCTION

Disrupted sleep has been consistently linked with lower academic achievement and worse mental health in children. Less is understood about sleep as a potential factor underlying socioeconomic differences in brain morphometry in children. The goals of this study were to investigate the associations among socioeconomic factors, sleep duration, and brain morphometry in children, and to examine the roles of the sleep environment and family routines in these associations.

METHODS

Participants were 5- to 9-year-old children from socioeconomically diverse families (N = 94; 61% female). Parents reported on children's weekday and weekend sleep durations, sleep environment, and family routines. High-resolution, T1-weighted structural magnetic resonance imaging (MRI) data were acquired. Analyses focused on cortical thickness, cortical surface area, and amygdala and hippocampal volume.

RESULTS

Results indicated that lower family income-to-needs ratio and parental education were significantly associated with shorter weekday sleep duration in children. Shorter weekday sleep duration was significantly associated with reduced thickness in the left middle temporal, right postcentral, and right superior frontal cortices and smaller basolateral but not centromedial amygdala volume. Family routines significantly mediated the associations of family income-to-needs ratio and parental education with weekday sleep duration in children.

CONCLUSION

These results contribute to our understanding of sleep factors as proximal mechanisms through which socioeconomic context may alter neural development during childhood.

At-home sleep monitoring using generic ear-EEG

Introduction

A device comprising two generic earpieces with embedded dry electrodes for ear-centered electroencephalography (ear-EEG) was developed. The objective was to provide ear-EEG based sleep monitoring to a wide range of the population without tailoring the device to the individual.

Methods

To validate the device ten healthy subjects were recruited for a 12-night sleep study. The study was divided into two parts; part A comprised two nights with both ear-EEG and polysomnography (PSG), and part B comprised 10 nights using only ear-EEG. In addition to the electrophysiological measurements, subjects filled out a questionnaire after each night of sleep.

Results

The subjects reported that the ear-EEG system was easy to use, and that the comfort was better in part B. The performance of the system was validated by comparing automatic sleep scoring based on ear-EEG with PSG-based sleep scoring performed by a professional trained sleep scorer. Cohen's kappa was used to assess the agreement between the manual and automatic sleep scorings, and the study showed an average kappa value of 0.71. The majority of the 20 recordings from part A yielded a kappa value above 0.7. The study was compared to a companioned study conducted with individualized earpieces. To compare the sleep across the two studies and two parts, 7 different sleeps metrics were calculated based on the automatic sleep scorings. The ear-EEG nights were validated through linear mixed model analysis in which the effects of equipment (individualized vs. generic earpieces), part (PSG and ear-EEG vs. only ear-EEG) and subject were investigated. We found that the subject effect was significant for all computed sleep metrics. Furthermore, the equipment did not show any statistical significant effect on any of the sleep metrics.

Discussion

These results corroborate that generic ear-EEG is a promising alternative to the gold standard PSG for sleep stage monitoring. This will allow sleep stage monitoring to be performed in a less obtrusive way and over longer periods of time, thereby enabling diagnosis and treatment of diseases with associated sleep disorders.

Insomnia in Infancy, Childhood, and Adolescence

Insomnia is the most prevalent sleep disorder in youth, tends to persist over time, and is associated with a myriad of adverse outcomes. This paper synthesizes the current evidence regarding the phenomenology, prevalence, assessment, consequences, cause, and treatment of pediatric insomnia, highlighting areas that warrant further research and addressing the unique characteristics of this disorder in infants, children, and adolescents.

Agreement between actigraphy and sleep diaries: A 28-day real-time monitoring study among suicidal adolescents following acute psychiatric care

OBJECTIVE

To examine the agreement between, and adherence to, wrist actigraphy and digital sleep diaries as methods for sleep assessment among high-risk adolescents in the 28 days following discharge from acute psychiatric care. Sleep parameters included: number of nighttime awakenings (NWAK), sleep efficiency (SE), sleep onset latency (SOL), total sleep time (TST), and wake after sleep onset (WASO).

METHODS

Fifty-three adolescents (12-18 years) were recruited following discharge from acute psychiatric care for suicide risk. Adolescents completed a baseline assessment followed by a 28-day monitoring period with daily sleep diaries and continuous wrist actigraphy. Bland-Altman and multi-level models examined agreement.

RESULTS

Adherence to actigraphy was high, but lower for sleep diaries; a similar pattern of adherence emerged on weekdays vs. weekends. Bland-Altman analyses revealed no clinically meaningful bias for sleep parameters (except NWAK), but the limits of agreement make interpretation ambiguous. Our base model indicated strong agreement between actigraphy and sleep diaries for TST (r = 0.850), moderate for SOL (r = 0.325) and SE (r = 0.322), and weak for WASO (r = -0.049) and NWAK (r = 0.114). A similar pattern emerged with the insomnia severity models with baseline insomnia influencing agreement on all parameters. There were significant weekday-weekend differences for WASO and NWAK, but not for SOL, SE, and TST.

CONCLUSION

Results suggest that it may be beneficial to find a modeling approach to account for the concordant and discordant information and relevant time-level variables.

Association of Food Intake with Sleep Durations in Adolescents from a Capital City in Northeastern Brazil

(1) Background: During adolescence, there are significant changes in food consumption, such as reducing the consumption of in natura or minimally processed foods and increasing the consumption of ultra-processed foods. Thus, eating habits can influence sleep duration and, consequently, affect the quality of life of young people. This study thus aims to estimate the association of consumption of in natura or minimally processed, processed, and ultra-processed foods with sleep durations in adolescents. (2) Methods: This is a cross-sectional study including 964 adolescents (18 to 19 years old) from the 1997 to 1998 birth cohort in São Luís, Maranhão. Food consumption was assessed using the food frequency questionnaire (FFQ) and stratified based on the NOVA classification. Sleep duration was verified using accelerometry in hours. The analysis of the association between the consumption of in natura or minimally processed, processedand ultra-processed foods with sleep durations in adolescents used crude and adjusted linear regression (by gender, age, skin color, education, economic class, work, consumption of alcohol, smoking, screen time, physical activity, use of illicit drugs, anxiety, depressive symptoms, and lean and fat mass). A directed acyclic graph (DAG) was used to determine the minimum set of adjustment factors. (3) Results: Of the 964 individuals evaluated, 52.0% were female. The mean sleep duration was 6 h (± 0.95). In the crude and adjusted analyses, no association was observed between food consumption according to the degree of processing and adolescent sleep durations. (4) Conclusion: There was no association between the consumption of in natura or minimally processed, processed, and ultra-processed foods with sleep durations.

Validation of an automated sleep detection algorithm using data from multiple accelerometer brands

To evaluate the criterion validity of an automated sleep detection algorithm applied to data from three research-grade accelerometers worn on each wrist with concurrent laboratory-based polysomnography (PSG). A total of 30 healthy volunteers (mean [SD] age 31.5 [7.2] years, body mass index 25.5 [3.7] kg/m² ) wore an Axivity, GENEActiv and ActiGraph accelerometer on each wrist during a 1-night PSG assessment. Sleep estimates (sleep period time window [SPT-window], sleep duration, sleep onset and waking time, sleep efficiency, and wake after sleep onset [WASO]) were generated using the automated sleep detection algorithm within the open-source GGIR package. Agreement of sleep estimates from accelerometer data with PSG was determined using pairwise 95% equivalence tests (±10% equivalence zone), intraclass correlation coefficients (ICCs) with 95% confidence intervals and limits of agreement (LoA). Accelerometer-derived sleep estimates except for WASO were within the 10% equivalence zone of the PSG. Reliability between data from the accelerometers worn on either wrist and PSG was moderate for SPT-window duration (ICCs ≥ 0.65), sleep duration (ICCs ≥ 0.54), and sleep onset (ICCs ≥ 0.61), mostly good for waking time (ICCs ≥ 0.80), but poor for sleep efficiency (ICCs ≥ 0.08) and WASO (ICCs ≥ 0.08). The mean bias between all accelerometer-derived sleep estimates worn on either wrist and PSG were low; however, wide 95% LoA were observed for all sleep estimates, apart from waking time. The automated sleep detection algorithm applied to data from Axivity, GENEActiv and ActiGraph accelerometers, worn on either wrist, provides comparable measures to PSG for SPT-window and sleep duration, sleep onset and waking time, but a poor measure of wake during the sleep period.

Sleep Duration and Kindergarten Adjustment

OBJECTIVES

The current study examined longitudinal linkages between child sleep duration and children's socioemotional, learning engagement, executive functioning, and academic outcomes across the full kindergarten (K) year.

METHODS

A measurement-burst design was employed to examine 3 different measures of child sleep duration in 7-day bursts at pre-K (July-August), early K (late September), mid-K (late November), and late K (mid-to-late April), using wrist actigraphy. These measures included mean amounts of child sleep per 24-hour period across the full week, proportion of 24-hour periods per week that children slept 10 or more hours, and proportion of nighttime sleep periods per week that children slept 10 or more hours. Children's outcomes at early, mid-, and late K were provided by their K teachers blind to children's sleep histories, and by assessments administered by project staff.

RESULTS

Among the 3 sleep measures examined, regularity of nighttime sleep in which children slept 10 or more hours per night, especially at pre-K, consistently predicted more favorable K outcomes in both socioemotional, learning engagement, and academic domains. Results suggested that establishing healthy nighttime sleep habits before K start was especially promotive of better K adjustment across the full K year. These findings were controlled for income-to-poverty threshold ratios, child health status, and number of missed school days.

CONCLUSIONS

Efforts to promote a favorable transition to first-time schooling should pay particular attention to sleep hygiene and regularity of 10-plus hours of nightly child sleep established before the start of K.

Objective and subjective sleep and caregiving feelings in mothers of infants: a longitudinal daily diary study

Study Objectives

This study explored the links between mothers’ objective and subjective sleep and their caregiving feelings toward their infant (i.e. patience for the infant, desire to be with the infant, and anger toward the infant), using a diary study design. We were particularly interested in examining whether nights of lower sleep quality within individual mothers predict more negative maternal caregiving feelings the following day.

Methods

The sample included 151 women, who were recruited during pregnancy. Data were collected at 4 and 8 months after delivery. Maternal sleep was monitored at home for seven nights using actigraphy and sleep diaries. Mothers rated their caregiving feelings each evening.

Results

Multilevel modeling (controlling for depressive symptoms, feeding method, and background variables) revealed that actigraphic and subjective sleep variables were associated with maternal caregiving feeling, both at the between- and within-person levels. For example, lower sleep percent predicted reduced levels of maternal patience for the infant at 4 and 8 months (between-person effect). Moreover, when a mother had a lower sleep percent on a given night (compared to her average), she reported lower levels of patience for her infant the following day (within-person prospective effect).

Conclusions

The findings demonstrate, for the first time, that maternal nightly variations in objective and subjective sleep quality predict daily changes in maternal feelings toward her infant at two different assessment points. Improving maternal sleep quality might be an important target for future interventions which may help mothers to feel more positively toward their infants.

Sleep of Healthcare Workers During the COVID-19 Pandemic and the Role of Atypical Work Schedules: A Scoping Review

The COVID-19 pandemic has negatively impacted the well-being of healthcare workers (HCWs). HCWs are highly exposed to shift work and their work schedules have been subject to increasing unpredictability since the start of the pandemic. This review aims to: (1) map the studies providing information about factors associated with sleep characteristics in HCWs working in the context of the COVID-19 pandemic during the first and second waves and (2) examine the state of the evidence base in terms of the availability of information on the influence of atypical work schedules. A literature search was performed in PubMed. Studies containing information about factors (demographic; psychological; occupational; COVID-19-specific; work schedule; lifestyle; medical; or other) associated with various sleep characteristics among HCWs working in the context of the COVID-19 pandemic were included. Particular attention was paid to the availability of information on the role of atypical work schedules on HCW sleep. Fifty-seven articles met the inclusion criteria. Most studies were reports of quantitative cross-sectional surveys using self-report measures. Associations between female sex, frontline HCW status, psychological factors, and poorer sleep were observed. Six studies included a measure of shift work in their analyses, 5 of which reported an association between shift work status and sleep. A wide range of factors were investigated, with female sex, frontline HCW status, and psychological factors repeatedly demonstrating associations with poorer sleep. Sleep was predominantly measured in terms of self-reported sleep quality or insomnia symptoms. Few studies investigated the influence of atypical work schedules on HCW sleep in the context of the COVID-19 pandemic. Research on this topic is lacking in terms of reliable and consistent measurements of sleep outcomes, longitudinal data, and knowledge about the influence of covariates such atypical work schedules, comorbidity, and medical history on HCW sleep.

Four Weeks of a Neuro-Meditation Program Improves Sleep Quality and Reduces Hypertension in Nursing Staff During the COVID-19 Pandemic: A Parallel Randomized Controlled Trial

The purpose of this study was to examine the effectiveness of a neuro-meditation program to support nurses during the COVID-19 pandemic. Forty-five (10 men and 35 women) nurses were classified into three groups based on their systolic blood pressure: normotensive (G-nor; n = 16, 43.8 ± 11.0 year), hypertensive (G-hyp; n = 13, 45.2 ± 10.7 year) and control (G-con; n = 16, 44.9 ± 10.6 year). Using a parallel, randomly controlled design across a 4-week period, 10 × 30-min sessions using the Rebalance© Impulse were completed. Sleep was assessed by wrist actigraphy and subjective sleep questionnaires; perceived sleep quality, Ford Insomnia Response to Stress Test questionnaire and the Spiegel Sleep Quality questionnaire (SSQ). Blood pressure, resting heart rate, mean heart rate (HRmean), heart rate variability index (RMSSD), cortisol, and alpha-amylase were also measured. Statistical analysis was completed using factorial ANOVA. Sleep improved in the G-hyp group; SSQ (p < 0.01); perceived sleep quality (p < 0.01); sleep efficiency and fragmentation index (p < 0.05). In the G-nor group, sleep was improved to a lesser extent; perceived sleep quality (p < 0.01). A significant time-group interaction was reported in resting heart rate (p < 0.01), systolic blood pressure (p < 0.01), and diastolic blood pressure (p < 0.05) with these measures being significantly reduced in the G-hyp group. RMSSD increased in the G-nor group (p < 0.01). This initial evidence suggests that neuro-meditation reduces excessive sympathetic activity, promoting enhanced sleep quality and autonomic control during periods of increased work-related stress.

Clinical Trial Registration

The study was conducted at Bioesterel, Sophia-Antipolis, France as a clinical trial: Neuro-meditation improves sleep quality, https://www.drks.de/ui_data_web/DrksUI.html?locale=en, DRKS00025731.

Sleeping through COVID-19: a longitudinal comparison of 2019 and 2020 infant auto-videosomnography metrics

BACKGROUND

With the outbreak of the COVID-19 pandemic, pediatric experts called attention to the potential adverse effects of living restrictions (e.g., lockdown) on child well-being, but at the same time- acknowledged their possible benefits. To date, only few data-driven reports have been published on child sleep during COVID-19, and all have been based on parent- or self-reports. This study used auto-videosomnography to capture the effects of COVID-19 stay-at-home orders imposed in the USA on objectively measured infant sleep.

METHODS

Auto-videosomnography metrics of infants assessed nightly between January and May 2020 were compared with metrics of an equivalent infant cohort, assessed in the corresponding 2019 period. A total of 610 infants (50.7% girls) aged 6-18 months (M = 11.8, SD = 3.6) were included, with 71,472 analyzed nights. Multilevel models were applied to assess differences between 2019 and 2020 infant sleep pre- and during-lockdown.

RESULTS

Whereas infant cohorts were equivalent in demographic and January-March/April sleep characteristics, during the 2020 lockdown infants had longer nighttime sleep durations (M_difference  = 11.0 min, p = .01), later morning rise times (M_difference  = 9.5 min, p = .008), and later out-of-crib times (M_difference  = 12.3 min, p < .0001), compared to the equivalent 2019 period. In addition, weekday-weekend differences in sleep onset and midpoint times were diminished during 2020 home-confinement compared to the equivalent 2019 period (2019: M_difference  = 5.5 min, p < .0001; M_difference  = 4.5 min, p < .0001; 2020: M_difference  = 2.3 min, p = .01; M_difference  = 3.1 min, p < .0001, respectively).

CONCLUSIONS

Notwithstanding the negative implications of COVID-19 living restrictions in other domains, our findings indicate that there might be a silver lining-in promoting longer and more consistent infant sleep. These benefits should be considered in determining policy for the current and future pandemics.

Bidirectional associations between nightly sleep and daily happiness and negative mood in adolescents

This study examined bidirectional associations between daily happiness and negative mood and subjective and objective sleep measures. Participants were 311 adolescents (M_age = 17.37 years; 51.8% female; 59.2% White/European American, 38.6% Black/African American, 1% Hispanic/Latinx American, 1.4% multi‐racial; 19.3% below poverty line) observed over a 7‐day period (2017–2018) using sleep diaries and actigraphy. Daily negative mood was related to greater subjective sleep/wake problems, and happiness was related to lower subjective sleep/wake problems. Conversely, shorter self‐reported sleep duration was related to higher negative mood the next day. For actigraphy measures, daily negative mood was related to greater sleep duration and efficiency, whereas happiness was related to lower sleep efficiency. Differences in associations based on subjective versus objective sleep measures are discussed.

Sleep pattern regularity and measures of infant weight and length during the first 6 months

PURPOSE

To examine the association between sleep pattern regularity and measures of weight and length in infants.

DESIGN AND METHODS

This was a prospective observational study conducted in a university-affiliated children's hospital in northern Taiwan. A total of 316 healthy infants recruited during their 6-month well-child checkups had their weight and recumbent length measured, and wore an actigraph on the ankle for a week. Based on average weekday, weekend, and all-week sleep durations, infants were categorized into 3 groups: regular sleep, weekend catch-up sleep, and weekend sleep curtailment. General linear model analyses were performed with the 3 sleep regularity groups as the primary predictor variable of interest and infant anthropometry as the dependent variable.

RESULTS

At risk of overweight, overweight, and obese was present in a total of 62 (19.6%) infants. In both unadjusted and adjusted models, infants in the weekend catch-up sleep group (30.4%) and those in the weekend sleep curtailment group (34.5%) had significantly higher weight-to-length ratios, body mass index, weight-for-age z-scores, and weight velocity of 6-month increments z-scores when compared with infants in the regular sleep group (35.1%, all p < 0.05).

CONCLUSIONS

Differences in weekday-weekend sleep exist as early as in the first 6 months of life, and both catch-up sleep and sleep curtailment over the weekend is associated with higher measures of weight and length in infants.

PRACTICE IMPLICATIONS

Sleep assessments in well-child checkups should include not only global assessments of average sleep duration but also address sleep patterns and their regularity.

The “Dream Changer”: a randomized controlled trial evaluating the efficacy of a parent-based intervention for childhood nightmares

Study Objectives

Recurrent nightmares in childhood may have a range of detrimental effects for both the child and parents. This randomized controlled trial evaluated the efficacy of a novel parent-based intervention for childhood nightmares, using a new device called the “Dream Changer.”

Methods

A total of 56 children aged 3–10 years (M = 7.1 ± 2.1 years; 51.8% boys), and one of their parents were randomized to either the intervention or waitlist control group. The intervention group received a “Dream Changer”—a light-emitting remote-control-like device that the child was encouraged to take to bed and use upon experiencing a nightmare. Parents completed online surveys at baseline, 1-week, and 2-weeks following the intervention. Parents in the intervention group additionally completed a 3-month follow-up survey. Outcome variables included children’s nightmare frequency, sleep-wake patterns, and sleep anxiety, as well as parents’ daytime sleepiness.

Results

Significant group-by-time interaction effects were found for nightmare frequency (p = 0.001) and sleep anxiety (p = 0.006). Parents of children who received the “Dream Changer” reported fewer nightmares (Mdifference = 1.7, p &lt; 0.001, d = 1.06) and decreased anxiety (Mdifference = 0.9, p = 0.001, d =0.41) at post-intervention, whereas such benefits were not found in the waitlist control group. Three-month follow-up assessments demonstrated that gains were maintained over-time. Interaction effects were not significant for children’s sleep metrics or for parents’ daytime sleepiness.

Conclusions

The present study provides preliminary evidence for the efficacy of a brief, highly accessible intervention for reducing children’s nightmares and nighttime anxiety. Future research may wish to test these effects using larger samples and longer follow-up assessments.

Clinical Trial Registration

The trial has been registered at the Australian New Zealand Clinical Trials Registry (https://www.anzctr.org.au/; Identifier:ACTRN12620000633987).

A systematic review of proxy-report questionnaires assessing physical activity, sedentary behavior and/or sleep in young children (aged 0-5 years)

Background

Accurate proxy-report questionnaires, adapted to the child’s developmental stage, are required to monitor 24-h movement behaviors in young children, especially for large samples and low-resource settings.

Objectives

This review aimed to summarize available studies evaluating measurement properties of proxy-report questionnaires assessing physical activity, sedentary behavior and/or sleep in children aged 0–5 years.

Methods

Systematic literature searches were carried out in the PubMed, Embase and SPORTDiscus databases, up to January 2021. For physical activity and sedentary behavior questionnaires this is a review update, whereas for sleep questionnaires we included all relevant studies published up to now. Studies had to evaluate at least one of the measurement properties of a proxy-report questionnaire assessing at least duration and/or frequency of physical activity, sedentary behavior and/or sleep in 0- to 5-year-old children. The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) guideline was used to evaluate the quality of evidence.

Results

Thirty-three studies were included, examining a total of 37 questionnaires. Ten questionnaires were designed for infants, two for toddlers, 11 for preschoolers, and 14 for a broader age range targeting multiple of these age groups. Twenty questionnaires assessed constructs of sleep, four assessed constructs of physical activity, two assessed screen behavior, five assessed constructs of both physical activity and sedentary behavior, and six assessed constructs of all 24-h movement behaviors. Content validity was evaluated for six questionnaires, structural validity for two, internal consistency for three, test-retest reliability for 16, measurement error for one, criterion validity for one, and construct validity for 26 questionnaires. None of the questionnaires were considered sufficiently valid and/or reliable for assessing one or more movement behaviors in 0- to 5-year-old children, and the quality of evidence was mostly low or very low.

Conclusions

Valid and/or reliable questionnaires assessing 24-h movement behaviors in 0- to 5-year-olds are lacking. High-quality studies are therefore required, to develop proxy-report questionnaires and evaluate their measurement properties.

PROSPERO registration number

CRD42020169268.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12966-022-01251-x.

A multidisciplinary approach and consensus statement to establish standards of care for Angelman syndrome

BACKGROUND

Angelman syndrome (AS) is a rare neurogenetic disorder present in approximately 1/12,000 individuals and characterized by developmental delay, cognitive impairment, motor dysfunction, seizures, gastrointestinal concerns, and abnormal electroencephalographic background. AS is caused by absent expression of the paternally imprinted gene UBE3A in the central nervous system. Disparities in the management of AS are a major problem in preparing for precision therapies and occur even in patients with access to experts and recognized clinics. AS patients receive care based on collective provider experience due to limited evidence-based literature. We present a consensus statement and comprehensive literature review that proposes a standard of care practices for the management of AS at a critical time when therapeutics to alter the natural history of the disease are on the horizon.

METHODS

We compiled the key recognized clinical features of AS based on consensus from a team of specialists managing patients with AS. Working groups were established to address each focus area with committees comprised of providers who manage >5 individuals. Committees developed management guidelines for their area of expertise. These were compiled into a final document to provide a framework for standardizing management. Evidence from the medical literature was also comprehensively reviewed.

RESULTS

Areas covered by working groups in the consensus document include genetics, developmental medicine, psychology, general health concerns, neurology (including movement disorders), sleep, psychiatry, orthopedics, ophthalmology, communication, early intervention and therapies, and caregiver health. Working groups created frameworks, including flowcharts and tables, to help with quick access for providers. Data from the literature were incorporated to ensure providers had review of experiential versus evidence-based care guidelines.

CONCLUSION

Standards of care in the management of AS are keys to ensure optimal care at a critical time when new disease-modifying therapies are emerging. This document is a framework for providers of all familiarity levels.

Sleep and the gut microbiota in preschool-aged children

Sleep plays a significant role in the mental and physical development of children. Emerging evidence in animals and human adults indicates a relationship between sleep and the gut microbiota; however, it is unclear whether the sleep of preschoolers during a key developmental period, associates with features of their gut microbiota. The objective of this study was to assess the relationship between sleep and gut microbiota in preschool-aged children (4.37 ± 0.48 years, n = 143). Sleep measures included total night-time sleep (TST), sleep efficiency (SE), and wake-time after sleep onset (WASO) assessed using actigraphy. Beta-diversity differences between children with low and high TST (p = .048) suggest gut microbiota community differences. Particularly, relative abundance of Bifidobacterium was higher in the high TST group and Bacteroides, was higher in children who had greater SE and less WASO (LDA score >2). In contrast, some Lachnospiraceae members including Blautia and Coprococcus 1 were associated with shorter night-time sleep duration and less efficiency, respectively. We also found a group of fecal metabolites, including specific neuroactive compounds and immunomodulating metabolites were associated with greater sleep efficiency and less time awake at night. Notably, tryptophan and its metabolizing products were higher in children who had higher SE or lower WASO (LDA score >2); concentration of propionate was higher in children with less WASO (p = .036). Overall, our results reveal a novel association between sleep and gut microbiota in preschool-aged children. Longer night-time sleep and greater sleep efficiency were associated with specific commensal bacteria that may regulate sleep through modulating neurotransmitter metabolism and the immune system.

Convergence Between the Child Behavior Checklist Sleep Items, Actigraphy and Other Sleep Measures Among Children of Parents with Alcoholic Disorders and Controls

PURPOSE

The Child Behavior Checklist (CBCL) is a widely used instrument of children psychosocial functioning. CBCL sleep items have been used in both clinical settings and research. To date, few empirical studies have examined the relationships between CBCL sleep items and other sleep measures such as actigraphy and validated sleep questionnaires. This study extends the literature by examining these relationships in a group of children of parents with an alcohol use disorder (COAs) and matched controls.

PARTICIPANTS AND METHODS

Two hundred and forty-eight children aged 8-12 (48% COAs; 50% girls; Mean age =10.37 (Standard deviation = 1.47)), participated in this study. Data presented here were taken from Time 1 of a larger prospective study designed to understand the relationship between sleep and alcohol use. All participants were naïve to alcohol and other illicit drugs. Parents completed the Achenbach CBCL and the Pediatric Sleep Questionnaire (PSQ). Participants wore an actigraph watch on their non-dominant wrists for one week and filled out the Youth Self-Report (YSR).

RESULTS

Multiple regression analyses showed that CBCL sleep items (eg, "trouble sleeping") correlated with related actigraphy (eg, shorter total sleep time and longer sleep onset latency) and Pediatrics Sleep Questionnaire (PSQ) items (eg, sleep difficulties and daytime sleepiness). Logistic regression analyses indicated that CBCL items (eg, "trouble sleeping) predicted similar items in the Youth Self Report (YSR) (eg, trouble sleeping). Structural equation modeling analyses showed that the latent variable "CBCL sleep" correlated significantly with the latent variables of actigraphy (r = -0.54, p < 0.001), PSQ (r = 0.93, p < 0.001) and YSR (r = 0.38, p < 0.01). These associations were largely the same for COAs and controls.

CONCLUSION

CBCL items were significantly associated with actigraphy variables, a validated sleep measure (PSQ) and youth report of sleep for both COAs and non-COAs.