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A methodological overview of objective sleep quality measurement compares actigraphy, polysomnography, and novel sensors, with notes on validity and real‑world use.
Objective: Individuals diagnosed with Down syndrome (DS) are predisposed to obstructive sleep apnea (OSA). The aim of this study is to assess the prevalence of OSA and factors associated with OSA in this population. Study Design: Systematic literature review and meta-analysis. Methods: Studies of DS and OSA in the English language through May 2017 were reviewed. Since parental report of symptoms has limited validity related to the diagnosis of OSA, only studies using in laboratory polysomnography to diagnose OSA were included. Results: Twenty three studies examining OSA among 1,469 people with DS were found. Among ten studies using community referred samples, 71.5% of people with DS had OSA, compared to 69.6% in referred community samples suspected of having respiratory events. There was an inverse relationship between apnea hypopnea index (AHI) cutoffs and OSA prevalence as higher cutoffs were associated with somewhat lower prevalence. Examining age groups, adults had a higher prevalence of OSA (90.0%) compared to infants (66.5%) and children between 2-21 years of age (69.9%). Oxygen desaturation and gender did not affect prevalence. Although surgery had less effect on successfully treating OSA among DS individuals compared to those without DS in prior studies, lingual tonsillectomy had the greatest effect (mean AHI decrease of 9.0). Conclusion: OSA appears to occur frequently in children and adults with DS. Untreated, OSA may contribute to health problems and premature death, highlighting the potential importance of identifying OSA among people with DS. Even after traditional surgeries (i.e., adenotonsillectomy, tonsillectomy, adenoidectomy), repeating PSG is highly recommended as residual OSA can persist
Background: Despite its expense, labor and intrusiveness, polysomnography (PSG) is the gold standard for diagnosing obstructive sleep apnea (OSA). Recently, commercially available electronic activity monitors, such as Fitbit, have become widely accepted and can provide an estimate of sleep patterns for screening children with possible OSA. A previous study demonstrated Fitbit to be valid compared to PSG in adults. To date, these devices have not been extensively utilized for research in children with sleep disordered breathing (SDB). Objective: To evaluate the validity of the Fitbit activity monitor compared to PSG in children and adolescents with SDB. Methods: Data was collected from 14 children, ages 3 through 11, who were scheduled for a PSG during the study period. Fitbit was worn concurrently during the night of the PSG. Analyses were performed by comparing total sleep time, number of awakenings, sleep efficiency and wake after sleep onset (WASO) Fitbit parameters with the corresponding parameters measured by PSG using Spearman’s rho. Fitbit movement epochs were also compared to PSG epochs showing movement behavior. Results: Pilot data suggest that Fitbit demonstrates a high sensitivity for sleep, a low specificity for wake and a trend suggesting good association of movement measurements. Conclusion: Although Fitbit is not as accurate as PSG for determining wakefulness, it may be a useful screening device to assess gross sleep quality in children. Further studies are indicated to validate these findings.