Predicting circadian misalignment with wearable technology: validation of wrist-worn actigraphy and photometry in night shift workers
Predicting circadian misalignment with wearable technology: validation of wrist-worn actigraphy and photometry in night shift workers
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DOI：
10.1093/sleep/zsaa180
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发表时间：
2021-02-01
期刊：
影响因子：
5.6
通讯作者：
Drake, Christopher L.
中科院分区：
文献类型：
--
作者：
Cheng, Philip;Walch, Olivia;Drake, Christopher L.
研究目的：成功治疗轮班工作者昼夜节律失调的一个关键障碍是确定临床或现场环境中的昼夜节律阶段。从腕部活动记录仪被动收集的光线和运动数据可以通过数学模型生成昼夜节律阶段的预测；然而，这些模型已经在非轮班工作的成年人中进行了大量的测试。本研究检验了活动记录仪预测固定夜班工人暗光褪黑激素发作（DLMO）的可行性和准确性。方法：45名夜班工人在实验室完成DLMO（17.0天10.3 SD）前佩戴腕动仪。通过在昏暗光线下24小时唾液样本评估DLMO (
Study Objectives: A critical barrier to successful treatment of circadian misalignment in shift workers is determining circadian phase in a clinical or field setting. Light and movement data collected passively from wrist actigraphy can generate predictions of circadian phase via mathematical models; however, these models have largely been tested in non-shift working adults. This study tested the feasibility and accuracy of actigraphy in predicting dim light melatonin onset (DLMO) in fixed night shift workers.Methods: A sample of 45 night shift workers wore wrist actigraphs before completing DLMO in the laboratory (17.0 days 10.3 SD). DLMO was assessed via 24 hourly saliva samples in dim light (