No abstract

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.

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.

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.