Validity of activity-based devices to estimate sleep.

Study Objectives: The aim of this study was to examine the feasibility of sleep estimation using a device designed and marketed to measure core physical activity.

Methods: Thirty adolescent participants in an epidemiological research study wore 3 actigraphy devices on the wrist over a single night concurrent with polysomnography (PSG). Devices used include Actical actigraph, designed and marketed for placement around the trunk to measure physical activity, in addition to 2 standard actigraphy devices used to assess sleep-wake states: Sleepwatch actigraph and Actiwatch actigraph.

Normative heart rate parameters during sleep for children aged 6 to 11 years.

Objective: Normative values for pediatric heart rates during sleep are not known. The purpose of this study was to describe the average sleeping heart rate of children and to determine if age, sex, body mass index (BMI) or ethnicity is related to sleeping heart rate.

Methods: Electrocardiogram (ECG) data were obtained from healthy children during in-home polysomnography in the Tucson Children's Assessment of Sleep Apnea study (TuCASA) or home cardiorespiratory sleep studies in the Cleveland Children's Sleep and Health Study (CCSHS).

Obesity and obesity related co-morbidities in a referral population of children with asthma.

Objective: Although there is mounting evidence that childhood obesity is a risk factor for incident asthma, it remains unclear if there is a distinct "asthma-obesity" phenotype. This study characterized body composition, obesity related co-morbidities, and traditional risk factors for asthma in a cohort of children referred for asthma management in a pulmonary clinic. We hypothesized that children with asthma and obesity would have distinct risk factors and co-morbidities, particularly with respect to metabolic and sleep abnormalities.

Relationship of sleep parameters, child psychological functioning, and parenting stress to obesity status among preadolescent children.

Objective: Insufficient sleep may be a significant contributing factor to the increase in pediatric obesity and thus may also contribute to adult obesity and chronic illness. Previous research has been based on large survey studies with consideration of demographics and lifestyle factors (e.g.

Prenatal and neonatal risk factors for sleep disordered breathing in school-aged children born preterm.

Objectives: Previously published data from the Cleveland Children's Sleep and Health Study demonstrated that preterm infants are especially vulnerable both to sleep disordered breathing (SDB) and its neurocognitive sequelae at age 8 to 11 years. In this analysis, we aimed to identify the components of the neonatal medical history associated with childhood SDB among children born prematurely.

Study Design: This analysis focuses on the 383 children in the population-based cohort from the Cleveland Children's Sleep and Health Study who were born <37 weeks gestational age and who had technically acceptable sleep studies performed at ages 8 to 11 years (92% of all preterm children).

A measure of ventilatory variability at wake-sleep transition predicts sleep apnea severity.

Rationale: Increased variability in ventilation may contribute to the pathogenesis of obstructive sleep apnea (OSA) by promoting ventilatory instability, fluctuations of neuromuscular output to the upper airway, and pharyngeal collapsibility. We assessed the association of a measure of ventilatory variability measured at the wake-sleep transition with OSA and associated covariates.

Methods: Four hundred eighty-five participants in the Cleveland Family Study underwent overnight polysomnography with independent derivation of the ventilatory variability index (VVI) and the apnea-hypopnea index (AHI).

Comparison of sleep parameters from actigraphy and polysomnography in older women: the SOF study.

Study Objectives: Total sleep time (TST), sleep efficiency (SE), and wake after sleep onset (WASO) as assessed by actigraphy gathered in 3 different modes were compared to polysomnography (PSG) measurements. Each mode was compared to PSG to determine which was more accurate. Associations of the difference in TST measurement with demographics and sleep characteristics were examined.

Sleep estimation using wrist actigraphy in adolescents with and without sleep disordered breathing: a comparison of three data modes.

Introduction: Adolescence is a time of rapid changes in sleep habits and rising prevalence of sleepiness. The importance of measuring sleep in this population is increasingly recognized. In adults, measurements of sleep by actigraphy correlate well with sleep data from EEG recordings.

Association between metabolic syndrome and sleep-disordered breathing in adolescents.

Rationale: Metabolic syndrome (MetS) affects 4 to 10% of adolescents. Risk factors include overweight, male sex, and Hispanic ethnicity. Although sleep-disordered breathing (SDB) has been implicated as a risk factor for MetS in adults, its association with SDB in adolescents is unknown.

Variation of cognition and achievement with sleep-disordered breathing in full-term and preterm children.

Objective: Pediatric sleep-disordered breathing (SDB) has a disproportionately high prevalence in children who were preterm infants (preterm children) and is associated with behavioral comorbidity. Exposure to intermittent hypoxemia and sleep disruption may contribute to cognitive impairment. We quantified the association of SDB with cognition and achievement and determined whether preterm children are at a differentially increased risk for SDB-related impairments.

Variation of C-reactive protein levels in adolescents: association with sleep-disordered breathing and sleep duration.

Background: There is increasing evidence that sleep-disordered breathing (SDB) is an independent risk factor for cardiovascular disease (CVD) in adults. C-reactive protein (CRP), a marker of systemic inflammation, is an important predictor of future cardiovascular events. The goal of this study was to quantify the associations of SDB, sleep duration, and CRP in adolescents to better understand the role of SDB in CVD risk.