Screening and Evaluation of Sleep Disturbances and Sleep Disorders in Children and Adolescents.

Sleep disturbances and sleep disorders are prevalent in children/adolescents and have a bidirectional relationship with pediatric medical and mental health disorders. Screening tools and mechanisms for the evaluation and treatment of sleep disturbances and sleep disorders in the pediatric mental health clinic are less well-known; hence, sleep disturbances and disorders are under-recognized in the pediatric clinics. We present specific, validated screening and evaluation tools to identify sleep disturbances and sleep disorders in children/adolescents. We offer guidance related to the use of consumer wearables for sleep assessments and use of sleep telemedicine in pediatric mental health and primary care clinics.

Early emergence of racial and ethnic differences in sleep health among toddlers living in low-income families.

OBJECTIVES: Emerging evidence suggests racial and ethnic and socioeconomic differences in children's sleep health, yet few have examined these differences among very young children. The purpose of this study is to identify potential racial, ethnic, and sociodeomographic factors associated with multiple dimensions of sleep health in toddlers living in very low-income families. PARTICIPANTS: Sample included 110 racially and ethnically diverse dyads with toddlers aged 12-15 months living in low-income families. METHODS: Actigraph data (9 days and nights), caregiver completed sleep diaries, Brief Infant Sleep Questionnaire-extended, and caregiver-reported socioeconomic characteristics were collected. RESULTS: Toddlers' average sleep duration (10.25 hours; SD = 0.76) was less than the age-based recommendations. There were significant race and ethnic differences in toddler's actigraph-measured bedtime (p < .001) and variability in bedtimes (p = .004). Non-LatinX White toddlers had earlier bedtimes and less variability than Black and LatinX children. These between-group differences remained statistically significant after controlling for measured socioeconomic variables (p's < 0.001). Within racial and ethnic group differences in bedtime and bedtime variability by education, employment, and marital status were identified with medium to large effect sizes. CONCLUSIONS: Racial and ethnic between-group differences in sleep occurred as early as 12 months of age and were not explained by sociodemographic variables (eg, income-to-needs, education, housing). Further research is necessary to determine structural and contextual factors that explain the racial and ethnic differences in sleep health in early childhood. Identifying these factors may inform the development of socially and culturally tailored interventions to reduce sleep health disparities.

Moving toward standardization: physician reporting of sleep studies.

Detailed primary data collected from sleep studies should lead to specific and clear reports with evidence-based clinical recommendations that, when introduced by sleep medicine specialists, create a window of opportunity to support our non-sleep medicine referring teams and to engage patients and caregivers in their care as recipients of the reports. This is how sleep study reporting differs from other test reports; currently, there is wide variation in how the data collected are presented and summarized. The goal of this document is to offer recommendations for structured reporting of sleep studies. We offer a practical, complete, and relevant document and a structure that can be implemented across sleep centers nationwide and does not burden the interpreter. We anticipate some readers will opine that some of the content is beyond the scope of what the interpreter physician needs to include, while others will propose missing data that they feel should have been included. We feel that the flexibility of the proposal accommodates for this and allows for a "first step" toward standardization of physician reporting of sleep studies. High-quality structured reporting of sleep studies is becoming ever more important for patient care, benefiting patients, caregivers, clinicians, durable medical equipment companies, and payers. CITATION: Lastra AC, Ingram D, Park J, et al. Moving toward standardization: physician reporting of sleep studies. J Clin Sleep Med. 2023;19(3):595-603.

Associations between sleep problems and domains relevant to daytime functioning and clinical symptomatology in autism: A meta-analysis.

Autistic individuals experience significantly higher rates of sleep problems compared to the general population, which negatively impacts various aspects of daytime functioning. The strength of associations across domains of functioning has not yet been summarized across studies. The present meta-analysis examined the strength of associations between sleep problems and various domains of daytime functioning in autistic individuals. Searches were conducted in EMBASE, PubMed, Web of Science, and Google Scholar through May 2020. Inclusion criteria were: an index of sleep disturbance in individuals diagnosed with autism spectrum disorder (ASD); data collected prior to any sleep-related intervention; statistical data indicating relations between sleep problems and outcomes relevant to behavior, cognition, and physical or mental health. Exclusion criteria were: statistics characterizing the relationship between sleep disturbance and outcome variables that partialled out covariates; studies examining correlations between different measures of sleep disturbance. Participants totaled 15,074 from 49 published articles and 51 samples, yielding 209 effect sizes. Sleep problems were significantly associated with more clinical symptomatology and worse daytime functioning. Subgroup analyses demonstrated that sleep problems were most strongly associated with internalizing and externalizing symptoms and executive functioning, followed by core autism symptoms, family factors, and adaptive functioning. Findings highlight the far-reaching consequences of sleep problems on daytime functioning for autistic individuals and support the continued prioritization of sleep as a target for intervention through integrated care models to improve wellbeing. LAY SUMMARY: Autistic individuals experience higher rates of sleep problems, such as difficulty falling asleep and staying asleep, compared to the general population. We quantitatively summarized the literature about how sleep problems are related to different aspects of daytime functioning to identify areas that may be most affected by sleep. Sleep problems were related to all areas assessed, with the strongest associations for mood and anxiety symptoms. We recommend prioritizing sleep health in autistic individuals to improve wellbeing and quality of life.

Screening and Evaluation of Sleep Disturbances and Sleep Disorders in Children and Adolescents.

Sleep disturbances and sleep disorders are prevalent in children/adolescents and have a bidirectional relationship with pediatric medical and mental health disorders. Screening tools and mechanisms for the evaluation and treatment of sleep disturbances and sleep disorders in the pediatric mental health clinic are less well-known; hence, sleep disturbances and disorders are under-recognized in the pediatric clinics. We present specific, validated screening and evaluation tools to identify sleep disturbances and sleep disorders in children/adolescents. We offer guidance related to the use of consumer wearables for sleep assessments and use of sleep telemedicine in pediatric mental health and primary care clinics.

Sleep health in young children living with socioeconomic adversity.

Racially and ethnically diverse young children who live with socioeconomic adversity are at high risk for sleep deficiency, but few behavioral sleep interventions (BSIs) are tailored to their needs. To support the future development of a feasible, acceptable, and culturally relevant sleep intervention, we conducted a community-engaged, mixed-methods study with 40 low-income, racially, and ethnically diverse parents to describe sleep characteristics, sleep habits, and parental sleep knowledge of their 6-36-month-old children and to examine the associations between children's sleep characteristics and sleep habits. This report presents quantitative data from this mixed-methods study. We measured objective (actigraphy) and parent-reported sleep (Brief Infant Sleep Questionnaire) characteristics, sleep habits at bedtime, sleep onset, and during night awakenings, parental sleep knowledge, psychological function (Brief Symptom Inventory), and parenting stress (Parenting Stress Index). Children had low sleep duration (537.2 ± 54.7 nighttime and 111.2 ± 29.8 nap minutes), late bedtimes (22:36 ± 1.5 hr), and high bedtime variability (mean squared successive difference = 3.68 ± 4.31 hr) based on actigraphy. Parental knowledge about sleep recommendations was limited. Sleep habits before bedtime, at sleep onset, and during night awakenings were varied. Sixty-five percent of parents reported co-sleeping. Feeding near bedtime or during the night was associated with later bedtimes, more fragmented sleep, and increased bedtime variability. These findings suggest the need for BSIs to support earlier bedtimes and improve sleep duration and continuity by addressing modifiable behaviors. Tailored BSIs that consider socioecological influences on the development of sleep habits are needed.

Perspectives on Sleep from Multiethnic Community Parents, Pediatric Providers, and Childcare Providers.

OBJECTIVE: To describe the perceptions of (1) parents, childcare, and health care providers regarding sleep health among multiethnic infants and toddlers living with socioeconomic adversity, (2) factors that contribute to sleep health and its consequences, and (3) best ways to promote sleep health in these children. METHODS: Nested within a larger community-engaged mixed methods study, we used a descriptive qualitative design to describe the experience of multiethnic young parents who were raising 6- to 36-month-old children, pediatric health care providers, and childcare providers living and working in an urban under-resourced community. Semistructured interviews with 25 parents and 16 providers were conducted, transcribed, coded, and analyzed using thematic analysis by a 6-member research team. Interviews continued until themes were saturated. RESULTS: Parent responses and provider responses resulted in overlapping and divergent findings. Common themes among all respondents were the importance of sleep, interest and desire for more sleep health information, and common environmental/social impediments to healthy family sleep. Divergent themes included the importance of bedtime routines and timing, views on the family bed, importance of naps, and healthy sleep aids. Childcare centers were suggested as good sites for sleep health promotion programs. CONCLUSION: Sleep is a topic of interest and importance for young families. There are unique family challenges to be considered in any sleep health promotion program tailored to the needs of the community. The voices of parents and community providers are valuable assets informing the development of novel family-friendly approaches for decreasing sleep disparities and improving the health of young children and families.

Childhood Trauma and Stressful Life Events Are Independently Associated with Sleep Disturbances in Adolescents.

Adolescence is a critical developmental period associated with an increase in stress, the appearance of anxiety and depressive symptoms, and changes in sleep patterns. Even though the disruption of sleep patterns in stress and anxiety and depressive disorders is well known, the independent effects of childhood trauma and stressful life events on sleep patterns are less understood. We tested the independent effects of stress (childhood trauma and stressful life events) while controlling for anxiety and depression on adolescent sleep patterns. Seven hundred fifty-two adolescents (age 12-15 years) completed self-report questionnaires about childhood trauma, stressful life events, anxiety, and depression. Four sleep factors identifying movement during sleep, sleep regularity, sleep disturbances, and sleep pressure were extracted in the principal component analysis of sleep questions. Both childhood trauma and recent stressful life events were significantly associated with sleep disturbances before and after controlling for anxiety and depression.

Sleep Disturbances in Child and Adolescent Mental Health Disorders: A Review of the Variability of Objective Sleep Markers.

Sleep disturbances are often observed in child and adolescent mental health disorders. Although previous research has identified consistent subjective reports of sleep disturbances, specific objective sleep markers have not yet been identified. We evaluated the current research on subjective and objective sleep markers in relation to attention deficit hyperactivity disorders, autism spectrum disorders, anxiety and depressive disorders. Subjective sleep markers are more consistent than objective markers of actigraphy, polysomnography, and circadian measures. We discuss the causes of variability in objective sleep findings and suggest future directions for research.

Community partnership for healthy sleep: Research protocol.

Beginning early in life, sleep health, including adequate quality, quantity, and consistent sleep routines, is critical to growth and development, behavior, and mental and physical health. Children who live in economically stressed urban environments are at particular risk for sleep deficiency and its negative consequences. Although efficacious sleep health interventions are available, few address the context of economically stressed urban environments. The purpose of this paper is to describe a two-phase protocol for an ongoing NIH/NINR-funded community-engaged study designed to understand the perspectives of parents, community child care and pediatric health care providers about sleep habits, factors that contribute to sleep and sleep habits, sleep difficulty, and potentially useful sleep promotion strategies among children living in economically stressed urban environments. The social-ecological model guides this study. Phase I employs a convergent mixed-methods design, in which we are conducting semi-structured interviews with parents, childcare providers, and primary health care providers. We are collecting 9 days of objective sleep data (wrist actigraphy) from children who are 6-18 months (n = 15) and 19-36 months of age (n = 15) and parent reports of sleep and sleep-related factors using standard questionnaires. In Phase I, we will use a qualitative descriptive approach to analyze the interview data, and descriptive statistics to analyze the survey and actigraph data. In Phase II, we will use the information to develop a contextually relevant program to promote sleep health. Our long-term goal is to improve sleep health and sleep-related outcomes in these children.

Sleep, biological stress, and health among toddlers living in socioeconomically disadvantaged homes: A research protocol.

Healthy sleep is important to behavioral, neurobiological, and physiologic health. In older children and adults, stress biomarkers, such as cortisol and C-reactive protein, increase when they do not practice healthy sleep habits. However, little is known about the relationships among sleep health, stress, and health outcomes among very young children living with socioeconomic adversity, a group that is particularly at risk for poor future health. The NIH-funded study described in this protocol addresses this scientific gap to improve understanding of these relationships during a critical developmental period in children's lives-toddlerhood. We will use a longitudinal design with repeated measures to prospectively examine the relationships among sleep health, stress, and toddlers' health from age 12 to 24 months, to address the following aims: i) examine changes in subjective and objective sleep health measures; ii) examine changes in stress biomarkers; iii) examine the cross-sectional and longitudinal relationships between sleep health measures and stress response; and iv) examine the cross-sectional and longitudinal relationships between sleep health measures, stress biomarkers, and toddlers' behavioral health. The sample will include 113 toddlers and their caregivers. We are collecting subjective and objective data on sleep health, multi-systemic biomarkers of stress, and toddlers' behavioral health. Generalized linear models will be used in the data analyses. Results from this study will be used to support development and testing of interventions, such as those that may improve sleep, among young children at risk for toxic stress.

Truncal fat distribution correlates with decreased vital capacity in Duchenne muscular dystrophy.

BACKGROUND: Duchenne muscular dystrophy (DMD) is an X-linked recessive disorder associated with progressive muscle weakness and respiratory failure. Oral corticosteroids are the mainstay of treatment, but are associated with obesity with a central distribution. This study is designed to determine the relationship between body mass index, central adiposity, and lung function in subjects with DMD. METHODS: Retrospective fat distribution data was obtained in boys with DMD from studies using dual X-ray absorptiometry (DXA). Fat distribution data was reviewed at two tertiary academic institutions and compared with concurrent height, weight, body mass index (BMI), measures of lung function, and sleep study data when available. Truncal fat mass used as a measure of central adiposity. RESULTS: Forty-four subjects (age 12.0 ± 3.4 years) were included. Mean BMI was 22.1 ± 5.9 kg/m(2) . Sixty-eight percent (30 patients) were on corticosteroid therapy. Truncal fat mass percentage was inversely correlated with forced vital capacity (% predicted FVC) (Pearson coefficient -0.37, P = 0.01). Linear regression showed that truncal fat distribution, but not total fat mass, age or corticosteroid use negatively predicted FVC (r(2) = 0.24, P = 0.048). BMI had a positive effect (P = 0.04). However, fat distribution did not predict the rate of change of lung function in a smaller sample. Fat distribution, BMI, or age did not predict measures of sleep disordered breathing. CONCLUSIONS: Truncal fat distribution is a significant predictor of lower vital capacity in boys with DMD, whereas BMI has a positive effect.

Aspergilloma in a patient with an occult congenital pulmonary airway malformation.

We describe the case of a 14-year-old male who presented with a right upper lobe aspergilloma forming in a previously occult congenital pulmonary airway malformation. This is the first case describing an aspergilloma forming within a CPAM.

A pilot study to identify pre- and peri-operative risk factors for airway complications following adenotonsillectomy for treatment of severe pediatric OSA.

OBJECTIVE: A pilot study to identify risk factors predicting post-operative complications in children with severe OSA undergoing adenotonsillectomy. METHODS: Retrospective review in a tertiary care academic institution. Two-stage least squares regression analysis and instrumental variable analysis to allow for modeling of pre- and peri-operative risk factors as having significance in predicting post-operative morbidity. RESULTS: Eighty-three children (mean age 4.88 ± 3.09 years) with apnea-hypopnea index (AHI) ≥ 10 who were observed overnight following adenotonsillectomy were evaluated for rates of major (increased level of care, CPAP/BiPAP use, pulmonary edema and reintubation) and minor (oxygen saturation <90%) airway complications as well as total observation costs. Major and minor complications occurred in 4.8% and 19.3% of children, respectively. Age <2 years (p<0.01), AHI >24 (p<0.05), intra-operative laryngospasm requiring treatment (p<0.05), oxygen saturations <90% on room air in PACU (p<0.05) and PACU stay >100 min (p<0.01) independently predicted post-operative complications. Children with any one of these factors experienced a 38% complication rate versus 4% in all others. CONCLUSIONS: This pilot study identified pre- and peri-operative risk factors that collectively can be investigated as predictors of post-operative airway complications in a prospective study. By identifying preliminary results comparing the complication rates between those children with and without these risk factors, we will be able to calculate the sample size for a future prospective validation study. Such a study is necessary to understand the safety and potential significant cost savings of observing children without risk factors on the pediatric floor and not in an ICU setting. A best practice algorithm can be created for children with severe OSA only after completing this prospective study.

Relationship between sleep apnea, fat distribution, and insulin resistance in obese children.

BACKGROUND: Obstructive sleep apnea (OSA) is associated with obesity, inflammation, and insulin resistance. The role of fat distribution in OSA pathogenesis has not been established in children. The objective of the study is to examine the relationship between fat distribution, OSA, and insulin resistance in an unselected population of obese children. METHODS: All obese (BMI > 95th percentile) children (ages 5-18 y) seen at a pediatric obesity clinic were invited to participate. Subjects underwent polysomnography, and were tested for dyslipidemia, inflammation, and insulin resistance measured by the homeostasis model assessment (HOMA). In a subset of subjects, magnetic resonance (MRI) imaging was used to determine the abdominal visceral and subcutaneous adipose tissue areas and magnetic resonance spectroscopy (MRS) spectroscopy was used to intramyocellular lipids in leg muscles. MEASUREMENTS AND MAIN RESULTS: 31 obese subjects enrolled and completed polysomnography and serum testing, and 19 subjects underwent MRI/MRS. The mean age was 12.6 ± 3.0 y and the mean body mass index (BMI) was 39.5 ± 11.2 kg/m(2). Forty-eight percent had OSA (mean apnea hypopnea index [AHI] 6.26 ± 6.77 events/h) Subjects with OSA had significantly increased BMI, log HOMA, triglycerides, and leptin compared to those without OSA. In regression analysis, only BMI z-score was associated with log HOMA. In the subset of patients with imaging data, visceral fat area was strongly predictive of AHI (p = 0.003, r(2) = 0.556). BMI z-score, gender, and age were not predictive. CONCLUSIONS: Visceral fat distribution is independently predictive of OSA severity in obese children.