Field-Based Assessments of Behavioral Patterns During Shiftwork in Police Academy Trainees Using Wearable Technology
Field-Based Assessments of Behavioral Patterns During Shiftwork in Police Academy Trainees Using Wearable Technology
复制标题
使用可穿戴技术对警察学院学员轮班期间的行为模式进行现场评估
DOI：
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复制
发表时间：
2022
影响因子：
3.5
通讯作者：
W. Kraus
中科院分区：
文献类型：
--
作者：
M. Erickson;W. Wang;J. Counts;L. Redman;D. Parker;J. Huebner;J. Dunn;W. Kraus
如Shiftwork中发生的昼夜节律错位与许多负面的健康结果有关。在这里，我们试图使用可穿戴技术的新型数据预处理算法中的27名警察学员，从而提高可穿戴技术的数据标记精度。其次，我们探索了昼夜节律在轮班期间的四个代谢唾液生物标志物的变化。使用两组观察研究设计，参与者在几天内完成了6周的课堂培训，然后进行日速或夜班训练6周。使用我们的新型算法，我们估算了白天发生的昼夜节律未对准的睡眠发作的标签，以前在算法性能分析的支持下，Garmin以前被错误地标记为非汗水。接下来，我们评估了静息心率和睡眠规律指数的变化，而在夜班训练中，我们会评估。我们还研究了唾液皮质醇，尿酸，睾丸激素和褪黑激素的基于现场评估的变化。与Dayshift相比，夜班工人在静息心率，睡眠规律性指数（表明睡眠规律性降低）以及睡眠/唤醒活动模式发生变化的情况下经历了更大的变化。唾液尿酸和睾丸激素没有改变。这些发现显示可穿戴技术与专业数据预处理相结合，可用于监视轮班工作期间行为模式的变化。
Circadian misalignment, as occurs in shiftwork, is associated with numerous negative health outcomes. Here, we sought to improve data labeling accuracy from wearable technology using a novel data pre-processing algorithm in 27 police trainees during shiftwork. Secondarily, we explored changes in four metabolic salivary biomarkers of circadian rhythm during shiftwork. Using a two-group observational study design, participants completed in-class training during dayshift for 6 weeks followed by either dayshift or nightshift field-training for 6 weeks. Using our novel algorithm, we imputed labels of circadian misaligned sleep episodes that occurred during daytime, which were previously were mislabeled as non-sleep by Garmin, supported by algorithm performance analysis. We next assessed changes to resting heart rate and sleep regularity index during dayshift versus nightshift field-training. We also examined changes in field-based assessments of salivary cortisol, uric acid, testosterone, and melatonin during dayshift versus nightshift. Compared to dayshift, nightshift workers experienced larger changes to resting heart rate, sleep regularity index (indicating reduced sleep regularity), and alterations in sleep/wake activity patterns accompanied by blunted salivary cortisol. Salivary uric acid and testosterone did not change. These findings show wearable technology combined with specialized data pre-processing can be used to monitor changes in behavioral patterns during shiftwork.
DOI：
10.1016/j.crmeth.2021.100058
发表时间：
2021-08-23
期刊：
CELL REPORTS METHODS
影响因子：
--
作者：
Bowman, Clark;Huang, Yitong;Forger, Daniel B.
通讯作者：
Forger, Daniel B.
影响因子：
3.7
作者：
Tyler J;Choi SW;Tewari M
通讯作者：
Tewari M