Measures of sleep and cardiac functioning during sleep using a multi-sensory commercially-available wristband in adolescents
Measures of sleep and cardiac functioning during sleep using a multi-sensory commercially-available wristband in adolescents
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DOI：
10.1016/j.physbeh.2016.03.006
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发表时间：
2016-05-01
影响因子：
2.9
通讯作者：
Colrain, Ian M.
中科院分区：
文献类型：
--
作者：
de Zambotti, Massimiliano;Baker, Fiona C.;Colrain, Ian M.
在健康青少年中验证由市售活动跟踪器生成的睡眠和心率（HR）测量值与多导睡眠图（PSG）生成的测量值。在32名健康青少年（15名女性;年龄，平均SD：17.3 ± 2.5岁）的过夜实验室睡眠记录期间，使用FitbitChargeHR（TM）和PSG同时记录睡眠数据，包括心电图（ECG）。使用配对t检验和Bland-Altman图比较FitbitChargeHR（TM）和PSG之间的睡眠和HR测量。逐时分析显示，FitbitChargeHR（TM）在检测睡眠方面具有较高的总体准确性（91%），较高的灵敏度（97%），而在检测唤醒方面的特异性较差（42%）。平均而言，FitbitChargeHR（TM）显著但可忽略地高估了总睡眠时间8分钟和睡眠效率1.8%，低估了入睡后觉醒5.6分钟（p < 0.05）。在FitbitChargeHRTM睡眠时间段内，平均心率为59.3 +/- 7.5 bpm，显著低于ECG计算值（60.2 +/- 7.6 bpm，p < 0.001），但可忽略不计，整夜的平均差异没有变化。FitbitChargeHR（TM）在测量睡眠和睡眠期间的心率方面与PSG和ECG表现出良好的一致性，支持其在评估健康青少年的睡眠和心脏功能方面的应用。需要进一步验证，以评估其在生态环境和临床人群中长时间的可靠性。(C)2016 Elsevier Inc. All rights reserved.
To validate measures of sleep and heart rate (HR) during sleep generated by a commercially-available activity tracker against those derived from polysomnography (PSG) in healthy adolescents. Sleep data were concurrently recorded using FitbitChargeHR (TM) and PSG, including electrocardiography (ECG), during an overnight laboratory sleep recording in 32 healthy adolescents (15 females; age, mean SD: 17.3 +/- 2.5 years). Sleep and HR measures were compared between FitbitChargeHR (TM) and PSG using paired t-tests and Bland-Altman plots. Epoch-by-epoch analysis showed that FitbitChargeHR (TM) had high overall accuracy (91%), high sensitivity (97%) in detecting sleep, and poor specificity (42%) in detecting wake on a min-to-min basis. On average, FitbitChargeHR (TM) significantly but negligibly overestimated total sleep time by 8 min and sleep efficiency by 1.8%, and underestimated wake after sleep onset by 5.6 min (p < 0.05). Within FitbitChargeHRTM epochs of sleep, the average HR was 59.3 +/- 7.5 bpm, which was significantly but negligibly lower than that calculated from ECG (60.2 +/- 7.6 bpm, p < 0.001), with no change in mean discrepancies throughout the night. FitbitChargeHR (TM) showed good agreement with PSG and ECG in measuring sleep and HR during sleep, supporting its use in assessing sleep and cardiac function in healthy adolescents. Further validation is needed to assess its reliability over prolonged periods of time in ecological settings and in clinical populations. (C) 2016 Elsevier Inc. All rights reserved.