2018•Minerva PediatricsRequires access

Comparison of the Fitbit® Charge and polysomnography for measuring sleep quality in children with sleep disordered breathing

Mohammed Hakim, Rebecca Miller, Mumin Hakim, Dmitry Tumin, Joseph Drew Tobias, Kris R. Jatana, Vidya T. Raman

Open publisher page 15 citations

Abstract

BACKGROUND: Due to the cost and inconvenience of polysomnography (PSG), wristworn accelerometers have been explored as an alternative method to measure sleep efficacy in children with obstructive sleep apnea (OSA) or sleep-disordered breathing (SDB). We compared the measurement of sleep quality with the Fitbit® Charge compared to PSG in children presenting for sleep studies.METHODS: Children ages 3 to 18 years, presenting for PSG with persistent SDB symptoms were enrolled. During PSG, the Fitbit® Charge was placed on the wrist and timesynchronized with sleep laboratory devices, which were worn while a single-night PSG was performed. Bias and concordance in measurements of total sleep time (TST), total wake time (TWT), and number of awakenings were assessed using paired t-tests, sign-rank tests, and Lin’s concordance coefficient.RESULTS: The study cohort included 22 patients (9 boys and 13 girls; 9 ± 3 years). TST was significantly overestimated using the Fitbit® Charge (difference in means = 30 min; 95% confidence interval [CI] of difference: 3, 58; p = 0.031), while TWT was underestimated (difference = 23 min; 95% CI: 4, 42; p=0.018). All measures showed a lack of concordance between the Fitbit® Charge and PSG.CONCLUSIONS: The current prospective study confirms that the Fitbit® Chargé overestimates time spent asleep compared to PSG in children with OSA/SDB symptoms, limiting the validity of sleep monitoring with wearable activity trackers appears in these patients.

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BACKGROUND: Due to the cost and inconvenience of polysomnography (PSG), wristworn accelerometers have been explored as an alternative method to measure sleep efficacy in children with obstructive sleep apnea (OSA) or sleep-disordered breathing (SDB). We compared the measurement of sleep quality with the Fitbit® Charge compared to PSG in children presenting for sleep studies.METHODS: Children ages 3 to 18 years, presenting for PSG with persistent SDB symptoms were enrolled. During PSG, the Fitbit® Charge was placed on the wrist and timesynchronized with sleep laboratory devices, which were worn while a single-night PSG was performed. Bias and concordance in measurements of total sleep time (TST), total wake time (TWT), and number of awakenings were assessed using paired t-tests, sign-rank tests, and Lin’s concordance coefficient.RESULTS: The study cohort included 22 patients (9 boys and 13 girls; 9 ± 3 years). TST was significantly overestimated using the Fitbit® Charge (difference in means = 30 min; 95% confidence interval [CI] of difference: 3, 58; p = 0.031), while TWT was underestimated (difference = 23 min; 95% CI: 4, 42; p=0.018). All measures showed a lack of concordance between the Fitbit® Charge and PSG.CONCLUSIONS: The current prospective study confirms that the Fitbit® Chargé overestimates time spent asleep compared to PSG in children with OSA/SDB symptoms, limiting the validity of sleep monitoring with wearable activity trackers appears in these patients.

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Available abstract

BACKGROUND: Due to the cost and inconvenience of polysomnography (PSG), wristworn accelerometers have been explored as an alternative method to measure sleep efficacy in children with obstructive sleep apnea (OSA) or sleep-disordered breathing (SDB). We compared the measurement of sleep quality with the Fitbit® Charge compared to PSG in children presenting for sleep studies.METHODS: Children ages 3 to 18 years, presenting for PSG with persistent SDB symptoms were enrolled. During PSG, the Fitbit® Charge was placed on the wrist and timesynchronized with sleep laboratory devices, which were worn while a single-night PSG was performed. Bias and concordance in measurements of total sleep time (TST), total wake time (TWT), and number of awakenings were assessed using paired t-tests, sign-rank tests, and Lin’s concordance coefficient.RESULTS: The study cohort included 22 patients (9 boys and 13 girls; 9 ± 3 years). TST was significantly overestimated using the Fitbit® Charge (difference in means = 30 min; 95% confidence interval [CI] of difference: 3, 58; p = 0.031), while TWT was underestimated (difference = 23 min; 95% CI: 4, 42; p=0.018). All measures showed a lack of concordance between the Fitbit® Charge and PSG.CONCLUSIONS: The current prospective study confirms that the Fitbit® Chargé overestimates time spent asleep compared to PSG in children with OSA/SDB symptoms, limiting the validity of sleep monitoring with wearable activity trackers appears in these patients.

Key concepts: Polysomnography, Sleep quality, Sleep (system call), Breathing, Sleep disordered breathing, Sleep and breathing, Medicine, Quality (philosophy)

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