Epidemiology of Sleep Disordered Breathing in Children
To collect fundamental data regarding the distribution of measures of sleep disordered breathing (SDB) in a pediatric population, prevalence of clinically significant SDB in children, risk factors, and associated co-morbidity.
Sleep Apnea Syndromes
|Study Design:||Observational Model: Defined Population|
|Study Start Date:||July 1998|
|Estimated Study Completion Date:||June 2002|
Developing strategies for recognizing and treating children with Sleep Disordered Breathing (SDB) was not possible in the absence of essential epidemiological data that addressed the distribution of measures of SDB in pediatric populations. The potential public health importance of this was underscored by preliminary data that suggested that risk of SDB was increased in susceptible populations, in particular in African Americans and in children born prematurely.
The design was that of a cohort study with a nested case control arm. Sleep disordered breathing was evaluated in 850 children with in-home state-of-the art respiratory monitoring techniques. A number of risk factors were evaluated: sociodemographic characteristics; anthropometry; upper and lower airway size and function (questionnaire, spirometry, and reflectometry); perinatal exposures (from neonatal records); family history; and home environment (passive smoking; sleep patterns, maternal-child stress indices). Behavior, cognitive skills, attention, and health-related quality of life were assessed with standardized instruments to assess co-morbidities (potential SDB outcomes). Analysis of the longitudinal data provided cognitive-developmental trajectories that were evaluated in relationship to SDB. The case-control arm confirmed and extended the findings of the in-home assessments with comprehensive laboratory polysomnography, cephalometry, and objective measures of sleepiness (Multiple Sleep Latency Tests) in three groups of children: definite SDB by home assessment; equivocal SDB; and no SDB. Collection of comprehensive polysomnographic data helped to identify which measures best discriminated symptomatic (e.g., snoring, sleepy) from asymptomatic children.
|Investigator:||Susan Redline||Case Western Reserve University|