Bedsharing sleep characteristics in children with mild sleep-disordered breathing.

STUDY OBJECTIVES: Examine sleep patterns in children with sleep-disordered breathing (SDB) who habitually bedshare. METHODS: We evaluated associations of bedsharing with parent-reported (n=457) and actigraphy-based (n=258) sleep patterns in a diverse child sample (mean age 6.6±2.3 years, range 3.0-12.9) with mild SDB using baseline data from the Pediatric Adenotonsillectomy Trial for Snoring. Multivariable linear regressions examined associations between sleep patterns and bedsharing, adjusting for sociodemographic, child, and parent/environmental factors. Moderation effects were investigated using interaction terms. Analyses were stratified by age, categorizing children as younger (<6) and older (≥6) years. RESULTS: Bedsharing rates were 38%, with higher rates in younger (48%) vs. older (30%) children (p<0.001). In adjusted models, bedsharing was associated with about 30 minutes shorter actigraphy-derived nocturnal sleep duration (p=0.005) and parent-reported later sleep midpoint (p< 0.005) in younger children. In older children, associations of bedsharing with shorter parent-reported sleep duration were more pronounced in children with greater SDB symptom burden (p=0.02), and in children with higher ratings of anxiety (p=0.048) and depressive symptoms (p=0.02). CONCLUSIONS: In children with mild SDB, bedsharing is associated with shorter sleep duration and later sleep timing in younger children. In older children, these relationships were modified by child factors, including SDB symptom burden and internalizing symptoms. These findings suggest that whereas age and parenting factors may play a greater role in the younger group, SDB and internalizing symptoms may play more of a role in older children who bedshare, suggesting the need to address co-occurring medical and emotional problems in children with SDB. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Name: Pediatric Adenotonsillectomy for Snoring (PATS); Identifier: NCT02562040.

Social determinants of health at multiple socio-ecological levels and sleep health in adolescents: A scoping review.

Heightened sleep disturbances occur in adolescence, yet existing research has predominantly focused on individual factors linked to poor sleep and a limited set of sleep outcomes, such as sleep duration and timing. This scoping review aimed to identify the multilevel social determinants of adolescent sleep health across domains, including regularity, satisfaction/quality, alertness/sleepiness, timing, efficiency/continuity, duration, and behavior. Social determinants of health (SDoH) were categorized through a socio-ecological lens, while sleep health domains were aligned with the RU-SATED and Peds B-SATED sleep health frameworks. A systematic database search resulted in 57 studies of non-clinical adolescent and young adult populations (age 10-24 y) in North America, published between 2014 and 2022. Research gaps include 1) absence of other sleep health domains other than duration which is predicated on the included studies using a limited set of sleep outcome measures rather than a more comprehensive measurement strategy that align with the multifaceted domains of sleep health, and 2) inconsistent terminology and/or absent conceptual and operational definitions of subjective sleep reports. The findings highlight the multilevel SDoH that influence adolescent sleep health, underscoring the need for more comprehensive research. Such efforts will facilitate the development of interventions focused on fostering optimal adolescent sleep health this populations.

Classifying intervention components used in sleep duration interventions for children: A systematic review and meta-analysis.

The Multiphase Optimization Strategy (MOST) is a three-phase iterative framework that could accelerate the development of behavioral interventions. This systematic review and meta-analysis was conducted within the MOST preparation phase and aimed to classify components included in pediatric sleep duration interventions, using the Behavior Change Technique (BCT) Taxonomy. Across 37 interventions, 46 out of 93 BCTs have been used, with an average of 8 techniques used per study. The most common BCTs used were instruction on how to perform the behavior (N = 29; code 4.1), practical social support (N = 22; code: 3.2), and behavioral practice/rehearsal (N = 22; code: 8.1). A latent class analysis identified two classes of interventions, distinguished by the presence of BCTs falling within the following behavior change groups: shaping knowledge, natural consequences, comparison of behavior, and repetition and substitution. Our meta-analysis revealed that interventions belonging to the latent class with these behavior change groups (N = 15) had a pooled positive intervention effect of 14 min (95 % CI: 8-21) versus 8 min (95 % CI: 1-15) for interventions without these behavior change groups (N = 19). This systematic review and meta-analysis will enhance the development of sleep promotion interventions and guide the selection of candidate intervention components for future optimization and randomized control trials.

Initiatives to improve lung and sleep health in children: Delphi consensus from the pediatrics, pulmonary, and sleep conference.

BACKGROUND AND OBJECTIVES: The lung and sleep health of adults is heavily influenced by early factors, both genetic and environmental; therefore, optimizing respiratory health begins in childhood. Multiple barriers impede improvements in lung and sleep health for children. First, the traditional siloing between general pediatric care in the community, pediatric pulmonary and sleep subspecialty care, and the research community limits the translation of knowledge into practice. Additionally, identifying and addressing health disparities remains a challenge. The 2021 NHLBI-sponsored workshop "Defining and Promoting Pediatric Pulmonary Health (DAP3H)" was a first step in defining critical gaps in our current healthcare system in identifying and optimizing lung and sleep health in children. The workshop identified key opportunities including measuring pulmonary function in young children, sleep-focused outcomes, developing biomarkers, and longitudinal research cohorts. To expand on the work of DAP3H and continue initiatives to improve childhood lung and sleep health, the Pediatrics & Pulmonary Network: Improving Health Together conference was held in 2023. STUDY DESIGN: A modified Delphi process was applied to form consensus surrounding gaps, barriers, and action items, with the goal of identifying the most urgent opportnities for improving childhood lung and sleep health. RESULTS: Cross-cutting foundational principles were identified as: (1) Authentic Stakeholder Collaboration & Engagement, (2) Reach & Implementation in Real World Settings, (3) Understanding Current Landscape & Resources and (4) Purposeful Diversity, Equity, & Inclusion Initiatives. CONCLUSIONS: To improve lung and sleep health in children, these principles should be the foundation for research design, development, and implementation.

Maternal Sleep Quality and Executive Function are Associated with Perceptions of Infant Sleep.

OBJECTIVES: This study examined the associations among maternal sleep quality, executive function, and perceptions of infant sleep in a sample of families recruited from human service and public health systems. METHODS: Seventy-three mothers of infants 5-14 months old were included in the study. Mothers racially and ethnically identified as American Indian/Alaskan Native (4.1%), Asian (4.1%), Black/African American (12.3%), Latina (23.3%), more than one race (12.3%), Pacific Islander (1.4%), and White (42.5%). Mothers completed questionnaires assessing their own sleep (Pittsburgh Sleep Quality Index) and executive function (Behavior Rating Inventory of Executive Function) as well as their perceptions about their infant's sleep (Brief Infant Sleep Questionnaire). RESULTS: Results of the path analysis indicated significant direct effects among maternal sleep quality, executive function, and perceptions of infant sleep. Significant indirect effects were found such that poor maternal sleep quality was linked to poorer perceptions of infant sleep through maternal executive dysfunction, adjusting for infant sleep patterns, infant age, and maternal race and ethnicity. CONCLUSIONS: The current study highlights the potential role of maternal behavioral and cognitive factors in shaping mothers' perceptions about infant sleep. These findings support the need for health professionals and researchers to consider maternal sleep quality and executive function when addressing mothers' concerns about infant sleep.

Diagnosis of sleep disorders in child healthcare settings.

OBJECTIVES: Sleep disorders impact at least 10 % of children, pose risks to overall wellbeing, and are key targets of preventive interventions. The objectives of this study were to describe the prevalence of pediatric sleep disorder diagnoses across sociodemographic characteristics and co-occurring conditions, and to explore potential sociodemographic disparities. METHODS: Cross-sectional analysis of 12,394,902 children (0-17 years; 50.9 % Medicaid-insured) in the 2017 MarketScan database. Prevalence was assessed utilizing ICD-10 codes, with multivariate logistic regressions examining disparities (insurance coverage; race and ethnicity in Medicaid-insured) for diagnoses in ≥0.10 % of children. RESULTS: The prevalence of sleep disorder diagnoses was 2.36 %. The most common diagnoses were obstructive sleep disordered breathing (oSDB, 1.17 %), unspecified sleep disorders (0.64 %), insomnia (0.52 %), and other SDB (0.10 %), with <0.10 % for all other diagnoses. Insomnia and parasomnias diagnoses were much lower than diagnostic estimates. Sleep diagnoses were more prevalent in Medicaid versus commercially insured youth, 2-5-year-olds, and in children with co-occurring medical, neurodevelopmental, or behavioral health conditions. Girls and boys were generally equally likely to be diagnosed with any sleep disorder. In Medicaid-insured children, white children were more likely to have any sleep diagnosis compared to all other racial and ethnic groups. Black/African American children were more likely than white children to have oSDB. CONCLUSIONS: Compared to diagnostic estimates, claims data suggest sleep disorders are under-diagnosed, with notable sociodemographic disparities. Findings suggest a need for clinical resources to identify and address sleep disorders and to understand biases potentially driving disparities, given that sleep is a modifiable determinant of child wellbeing.

Incidence of pediatric narcolepsy diagnosis and management: evidence from claims data.

STUDY OBJECTIVES: The purpose of this study was to characterize the incidence of pediatric narcolepsy diagnosis, subsequent care, and potential sociodemographic disparities in a large US claims database. METHODS: Merative MarketScan insurance claims (n = 12,394,902) were used to identify youth (6-17 years of age) newly diagnosed with narcolepsy (International Classification of Diseases, 10th revision codes). Narcolepsy diagnosis and care 1 year postdiagnosis included polysomnography with Multiple Sleep Latency Test, pharmacological care, and clinical visits. Potential disparities were examined by insurance coverage and child race and ethnicity (Medicaid-insured only). RESULTS: The incidence of narcolepsy diagnosis was 10:100,000, primarily type 2 (69.9%). Most diagnoses occurred in adolescents with no sex differences, but higher rates in Black vs White youth with Medicaid. Two thirds had a prior sleep disorder diagnosis and 21-36% had other co-occurring diagnoses. Only half (46.6%) had polysomnography with Multiple Sleep Latency Test (± 1 year postdiagnosis). Specialty care (18.9% pulmonary, 26.9% neurology) and behavioral health visits were rare (34.4%), although half were prescribed stimulant medications (51.0%). Medicaid-insured were 86% less likely than commercially insured youth to have any clinical care and 33% less likely to have polysomnography with Multiple Sleep Latency Test. CONCLUSIONS: Narcolepsy diagnoses occurred in 0.01% of youth, primarily during adolescence, and at higher rates for Black vs White children with Medicaid. Only half overall had evidence of a diagnostically required polysomnography with Multiple Sleep Latency Test, underscoring potential misdiagnosis. Many patients had co-occurring conditions, but specialty and behavioral health care were limited. Results suggest misdiagnosis, underdiagnosis, and limited narcolepsy treatment, as well as possible disparities. Results highlight the need to identify determinants of evidence-based pediatric narcolepsy diagnosis and management. CITATION: Tang SH, Min J, Zhang X, et al. Incidence of pediatric narcolepsy diagnosis and management: evidence from claims data. J Clin Sleep Med. 2024;20(7):1141-1151.

Advancing Patient-Centered Care: An International Survey of Adolescent Perspectives on Insomnia.

OBJECTIVE: The study objective was to inform patient-centered care for adolescent insomnia by describing adolescents' perspectives on insomnia. Specific constructs of interest included: 1) factors that contributed to insomnia development or maintenance, 2) impact of insomnia on day-to-day life, 3) recommended research priorities, and 4) overall experience living with insomnia. METHOD: A convenience sample of adolescents (ages 13-18 years) self-identifying with insomnia symptoms was recruited through social media. Respondents (n = 3,014) completed an online survey. Responses to an open-ended item assessing patient experience were coded using thematic analysis. RESULTS: Participants identified as 70.8% White non-Hispanic, 77.0% female, and lived in one of five English-speaking countries (United States, United Kingdom, Canada, Australia, or New Zealand). Most (87.5%) met DSM-V diagnostic criteria for insomnia. The most common contributory factors to insomnia endorsed were stress (72.1%) and depressed mood (63.6%), while common impact areas were mood (72.2%), focus (61.0%), and pain (49.7%). Patient-centered research priorities were identifying insomnia causes (66.4%) and early detection (66.1%). Common adolescent experiences included high distress levels, feelings of invalidation, and helplessness about their insomnia. CONCLUSIONS: Adolescents with insomnia offer a unique perspective that should inform patient-centered research and care. There is a need for heightened screening and awareness about insomnia as a condition that causes significant distress and impairment for adolescents. To provide validating care, providers should recognize the multifaceted causes of insomnia.

Improving adolescent sleep in long-term Juvenile correctional settings: case examples with clinical, research, and policy implications.

Poor sleep during adolescence is a public health concern that may be especially important to address among youth in juvenile correctional facilities, who tend to experience greater mental health challenges, substance use disorders, and traumatic stress exposure. However, evidence for addressing sleep in correctional settings is limited. Using de-identified composite clinical cases, this paper describes challenges and opportunities for addressing sleep disorders (i.e. insomnia) and promoting sleep health (i.e. improving duration, regularity, and behaviors) among adolescents in long-term juvenile correctional facilities. These clinical cases highlight common presenting problems and underscore the need for integrated sleep and mental health interventions as well as adaptations to enhance feasibility and efficacy of behavioral sleep treatment and sleep health promotion in juvenile correctional contexts. We conclude by summarizing clinical, research, and policy implications for addressing adolescent sleep problems and promoting sleep health and well-being in these contexts.

Ethical considerations in using sensors to remotely assess pediatric health behaviors.

Sensors, including accelerometer-based and electronic adherence monitoring devices, have transformed health data collection. Sensors allow for unobtrusive, real-time sampling of health behaviors that relate to psychological health, including sleep, physical activity, and medication-taking. These technical strengths have captured scholarly attention, with far less discussion about the level of human touch involved in implementing sensors. Researchers face several subjective decision points when collecting health data via sensors, with these decisions posing ethical concerns for users and the public at large. Using examples from pediatric sleep, physical activity, and medication adherence research, we pose critical ethical questions, practical dilemmas, and guidance for implementing health-based sensors. We focus on youth given that they are often deemed the ideal population for digital health approaches but have unique technology-related vulnerabilities and preferences. Ethical considerations are organized according to Belmont principles of respect for persons (e.g., when sensor-based data are valued above the subjective lived experiences of youth and their families), beneficence (e.g., with sensor data management and sharing), and justice (e.g., with sensor access and acceptability among minoritized pediatric populations). Recommendations include the need to increase transparency about the extent of subjective decision making with sensor data management. Without greater attention to the human factors involved in sensor research, ethical risks could outweigh the scientific promise of sensors, thereby negating their potential role in improving child health and care. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Neighborhood Disadvantage, Quality of Life, and Symptom Burden in Children with Mild Sleep-disordered Breathing.

Rationale: Neighborhood disadvantage (ND) has been associated with sleep-disordered breathing (SDB) in children. However, the association between ND and SDB symptom burden and quality of life (QOL) has not yet been studied.Objectives: To evaluate associations between ND with SDB symptom burden and QOL.Methods: Cross-sectional analyses were performed on 453 children, ages 3-12.9 years, with mild SDB (habitual snoring and apnea-hypopnea index < 3/h) enrolled in the PATS (Pediatric Adenotonsillectomy Trial for Snoring) multicenter study. The primary exposure, neighborhood disadvantage, was characterized by the Child Opportunity Index (COI) (range, 0-100), in which lower values (specifically COI ⩽ 40) signify less advantageous neighborhoods. The primary outcomes were QOL assessed by the obstructive sleep apnea (OSA)-18 questionnaire (range, 18-126) and SDB symptom burden assessed by the Pediatric Sleep Questionnaire-Sleep-related Breathing Disorder (PSQ-SRBD) scale (range, 0-1). The primary model was adjusted for age, sex, race, ethnicity, maternal education, recruitment site, and season. In addition, we explored the role of body mass index (BMI) percentile, environmental tobacco smoke (ETS), and asthma in these associations.Results: The sample included 453 children (16% Hispanic, 26% Black or African American, 52% White, and 6% other). COI mean (standard deviation [SD]) was 50.3 (29.4), and 37% (n = 169) of participants lived in disadvantaged neighborhoods. Poor SDB-related QOL (OSA-18 ⩾ 60) and high symptom burden (PSQ-SRBD ⩾ 0.33) were found in 30% (n = 134) and 75% (n = 341) of participants, respectively. In adjusted models, a COI increase by 1 SD (i.e., more advantageous neighborhood) was associated with an improvement in OSA-18 score by 2.5 points (95% confidence interval [CI], -4.34 to -0.62) and in PSQ-SRBD score by 0.03 points (95% CI, -0.05 to -0.01). These associations remained significant after adjusting for BMI percentile, ETS, or asthma; however, associations between COI and SDB-related QOL attenuated by 23% and 10% after adjusting for ETS or asthma, respectively.Conclusions: Neighborhood disadvantage was associated with poorer SDB-related QOL and greater SDB symptoms. Associations were partially attenuated after considering the effects of ETS or asthma. The findings support efforts to reduce ETS and neighborhood-level asthma-related risk factors and identify other neighborhood-level factors that contribute to SDB symptom burden as strategies to address sleep-health disparities.Clinical trial registered with www.clinicaltrials.gov (NCT02562040).

Maternal Perceptions of Evidence-Based Early Childhood Sleep Health Promotion Recommendations: An Explanatory Sequential Study.

OBJECTIVES: The purpose of this explanatory sequential design study was to better understand caregivers' perceptions about and interest in evidence-based early childhood sleep health promotion recommendations. METHOD: A purposeful sample of mothers of 20 1-5-year-old children (10 children exhibiting optimal sleep and 10 children exhibiting insufficient/fragmented sleep) attending a preschool serving a low socio-economic (SES) status metropolitan community were invited to participate in qualitative interviews. Data were coded according to a grounded theory approach and themes were identified within the optimal and suboptimal sleeper groups. RESULTS: Mothers reported different approaches to managing electronics by optimal/suboptimal sleeper group, with mothers of optimal sleepers limiting access to electronics more than mothers in the suboptimal sleep group. Other themes of sleep health practices did not differ meaningfully between groups. CONCLUSIONS: Maternal perspectives about early childhood sleep health were similar across optimal and suboptimal sleepers on most elements of child sleep health. Managing child sleep was contextually influenced and these results highlight the complexities of how families living in lower SES environments perceive common sleep recommendations. Thus, sleep health education efforts should be tailored to the needs and values of specific families and communities.

Variation in Caregiver-Reported Child Sleep Patterns and Problems by Family Socioeconomic Indicators.

OBJECTIVE: Previous studies of sleep patterns, as well as rates and correlates of perceived problems in early childhood, indicate variation by neighborhood-level socioeconomic indicators. The purpose of this study was to examine variation in (1) sleep patterns, behaviors, and problems by family-based socioeconomic indicators (income-to-needs ratio and caregiver education level) and (2) sociodemographic and sleep correlates of a caregiver-endorsed child sleep problem across and within socioeconomic indicator groups in a diverse sample. METHODS: Two hundred eighty-three caregiver-child dyads (ages 1-5 years) completed the Brief Child Sleep Questionnaire. Family-level socioeconomic indicators included income-to-needs ratio and caregiver educational level. RESULTS: Sleep patterns varied based on income-to-needs ratio, with children living in poverty experiencing the longest sleep onset latencies and night awakening durations and shortest nighttime sleep durations. Rates of an endorsed child sleep problem were similar across income-to-needs groups. Although sleep patterns did not vary by caregiver education level, caregivers with an education beyond high school were more likely to endorse a child sleep problem; later bedtimes, more frequent night awakenings, and greater bedtime difficulties were the strongest correlates of a perceived sleep problem in this subgroup. No specific correlates of a child sleep problem emerged for those with a high school education or less. CONCLUSION: Sleep patterns may be more robustly linked to family income-to-needs ratio, whereas perceptions of a child sleep problem may be more linked to caregiver education level. Clinicians should consider expanding sleep screening questions to include specific sleep outcomes to effectively assess child sleep and guide intervention.

Defining and Promoting Pediatric Pulmonary Health: Understanding Sleep and Ventilatory Health.

Healthy sleep and optimal ventilatory control begin in early development and are crucial for positive child outcomes. This paper summarizes information presented at the Sleep and Ventilatory Control sessions of the National Heart, Lung, and Blood-sponsored 2021 Defining and Promoting Pediatric Pulmonary Health workshop. These sessions focused on pediatric sleep health, screening for sleep health and sleep disorders in primary care using the electronic health record, infant sleep and ventilatory control, and home sleep testing. Throughout this summary, we discuss key gaps in and barriers to promoting sleep and ventilatory health that were identified during the workshop sessions. We conclude with strategies to address these gaps and barriers and directions for future multidisciplinary research, patient care, and training.

Sociodemographic disparities and healthcare utilization in pediatric obstructive sleep apnea management.

OBJECTIVES: We examined (1) disparities in obstructive sleep apnea (OSA) care by insurance coverage, and by child race and ethnicity among Medicaid-insured children (MIC), and (2) healthcare utilization changes after OSA care. METHODS: IBM MarketScan insurance claims were used to index OSA care 1-year before and after initial OSA diagnosis in 2017 among 2-17-year-old children (n = 31,787, MIC: 59%). OSA care and healthcare utilization analyses adjusted for child age, sex, obesity, and complex chronic conditions. RESULTS: We identified 8 OSA care pathways, including no care, which occurred in 34.4% of the overall sample. MIC had 13% higher odds of no OSA care compared to commercially-insured children (CIC). MIC had 32-48% lower odds of any treatment pathway involving specialty care, but a 13-46% higher likelihood of receiving surgical care without polysomnogram (PSG) and PSG only. In MIC, non-Latinx Black/African American (Black) and Hispanic/Latinx children were 1.3-2.2 times more likely than White children to receive treatment involving specialty care and/or PSG, while Black children were 31% less likely than White youth to undergo surgery. In the full sample, surgical care was associated with less outpatient and emergency healthcare utilization compared to those untreated or not surgically treated. CONCLUSIONS: Varied OSA management by insurance coverage suggests disparities in access to and engagement in care and potentially greater disease burden among MIC. Surgical care is associated with reduced healthcare utilization. The lower odds of surgery in Black MIC should be further evaluated in the context of OSA severity, healthcare biases, and family preferences.

Disparities in Sleep-Disordered Breathing: Upstream Risk Factors, Mechanisms, and Implications.

Sleep-disordered breathing (SDB) refers to a spectrum of disorders ranging from habitual snoring without frank episodes of obstructed breathing or desaturation during sleep to obstructive sleep apnea, where apneas and hypopneas repetitively occur with resultant intermittent hypoxia, arousal, and sleep disruption. Disparities in SDB reflect its overall high prevalence in children and adults from racially and ethnically minoritized or low socioeconomic status backgrounds coupled with high rates of underdiagnosis and suboptimal treatment.

The neighborhood environment and sleep health in adolescents.

OBJECTIVE: Neighborhood-level factors, including education, health and environment, and socioeconomic exposures, are important contextual determinants of child health. We explored whether these factors, measured via the Childhood Opportunity Index 2.0, were associated with sleep health in adolescents. METHODS: Actigraphy was used to assess sleep duration, timing, and efficiency among 110 adolescents in eighth (13.9 (0.4)) and ninth (14.9 (0.4)) grade. Home addresses were geocoded and linked to Childhood Opportunity Index 2.0 scores (including 3 subtype scores and the 29 individual factor Z-scores). Mixed-effects linear regression was used to determine associations between the Childhood Opportunity Index 2.0 scores and the sleep outcomes, adjusting for sex, race, parent education, household income, school grade and weeknight status. Interactions were also tested by school grade, weeknight status, sex, and race. RESULTS: No associations were observed between overall or subtype scores with sleep outcomes in adolescents. However, we detected associations between select individual Childhood Opportunity Index 2.0 Z-scores, spanning health & environment and education domains, and sleep outcomes. For example, greater fine particulate matter was associated with later timing of sleep onset and offset; ozone concentration was associated with earlier sleep onset and offset; greater exposure to extreme temperature was associated with later sleep onset and offset and increased odds of optimal sleep efficiency. CONCLUSIONS: Specific neighborhood factors indexed by the Childhood Opportunity Index 2.0 were associated with sleep health among adolescents. In particular, neighborhood air quality measures were associated with sleep timing and efficiency, warranting further investigation.

Variation in Twitter posts referencing pediatric sleep aids.

OBJECTIVES: Over 50% of parents who use social media seek parenting advice, however little is known about social media discussions surrounding child sleep aid use. The current study investigated Twitter posts about the use of pediatric sleep aids (melatonin, cannabidiol, weighted blankets, and essential oils), including post frequency, user characteristics, and content. In addition, variation in tweets before and after the onset of the COVID-19 pandemic was examined. METHODS: Twitter was searched over a 25-month period using TweetDeck. Tweets were coded for user characteristics (eg, affiliations, gender) and content (eg, tone, states sleep or health outcomes, reference to a neurodevelopmental condition). RESULTS: Of the 2754 tweets analyzed, melatonin was referenced most often (60%), followed by essential oils (23%), weighted blankets (14%), and cannabidiol (3%). Most were published by individual users (77%) and were positive (51%) in tone. About 1-third of tweets noted positive sleep or health effects of the sleep aid and only 7% referenced a neurodevelopmental condition. Tweets about pediatric sleep aids increased during the pandemic, primarily those posts about melatonin. CONCLUSIONS: Melatonin is the most commonly discussed sleep aid on Twitter, followed by essential oils. Tweets are primarily positive. The number of tweets about sleep aids, specifically melatonin, has increased with time, with significantly more tweets after the start of the pandemic. Clinicians should consider using this outlet to provide empirically-based information regarding the efficacy and benefits or risks of sleep aid use in children.

Associations of actigraphy measures of sleep duration and continuity with executive function, vigilance, and fine motor control in children with snoring and mild sleep-disordered breathing.

STUDY OBJECTIVES: Children with snoring and mild sleep-disordered breathing may be at increased risk for neurocognitive deficits despite few obstructive events. We hypothesized that actigraphy-based sleep duration and continuity associate with neurobehavioral functioning and explored whether these associations vary by demographic and socioeconomic factors. METHODS: 298 children enrolled in the Pediatric Adenotonsillectomy Trial, ages 3 to 12.9 years, 47.3% from racial or ethnic minority groups, with habitual snoring and an apnea-hypopnea index < 3 were studied with actigraphy (mean 7.5 ± 1.4 days) and completed a computerized vigilance task (Go-No-Go) and a test of fine motor control (9-Hole Pegboard). Caregivers completed the Behavior Rating Inventory of Executive Function. Regression analyses evaluated associations between sleep exposures (24-hour and nocturnal sleep duration, sleep fragmentation index, sleep efficiency) with the Behavior Rating Inventory of Executive Function Global Executive Composite index, pegboard completion time (fine motor control), and vigilance (d prime on the Go-No-Go), adjusting for demographic factors and study design measures. RESULTS: Longer sleep duration, higher sleep efficiency, and lower sleep fragmentation were associated with better executive function; each additional hour of sleep over 24 hours associated with more than a 3-point improvement in executive function (P = .002). Longer nocturnal sleep (P = .02) and less sleep fragmentation (P = .001) were associated with better fine motor control. Stronger associations were observed for boys and children less than 6 years old. CONCLUSIONS: Sleep quantity and continuity are associated with neurocognitive functioning in children with mild sleep-disordered breathing, supporting efforts to target these sleep health parameters as part of interventions for reducing neurobehavioral morbidity. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Name: Pediatric Adenotonsillectomy for Snoring (PATS); URL: https://clinicaltrials.gov/ct2/show/NCT02562040; Identifier: NCT02562040. CITATION: Robinson KA, Wei Z, Radcliffe J, et al. Associations of actigraphy measures of sleep duration and continuity with executive function, vigilance, and fine motor control in children with snoring and mild sleep-disordered breathing. J Clin Sleep Med. 2023;19(9):1595-1603.

Health Disparities in Pediatric Sleep.

This article reviews disparities in pediatric sleep health and sleep disorders from early childhood through adolescence (birth to age 18 years). Sleep health is a multidimensional construct including sleep duration, consolidation, and other domains, whereas sleep disorders reflect both behaviorally (eg, insomnia) and medically based (eg, sleep disordered breathing) sleep diagnoses. Using a socioecological framework, we review multilevel (ie, child, family, school, health-care system, neighborhood, and sociocultural) factors linked to sleep health disparities. Mechanistic research and studies using an intersectional lens to understand overlapping marginalized identities are needed to inform multilevel interventions to promote sleep health equity in pediatrics.