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.

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.

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.

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.

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.