Using Wearable Skin Temperature Data to Advance Tracking and Characterization of the Menstrual Cycle in a Real-World Setting.

IF 2.9 3区 生物学 Q2 BIOLOGY
Journal of Biological Rhythms Pub Date : 2024-08-01 Epub Date: 2024-05-20 DOI:10.1177/07487304241247893
Marie Gombert-Labedens, Elisabet Alzueta, Evelyn Perez-Amparan, Dilara Yuksel, Orsolya Kiss, Massimiliano de Zambotti, Katharine Simon, Jing Zhang, Alessandra Shuster, Allison Morehouse, Andres Alessandro Pena, Sara Mednick, Fiona C Baker
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引用次数: 0

Abstract

The menstrual cycle is a loop involving the interplay of different organs and hormones, with the capacity to impact numerous physiological processes, including body temperature and heart rate, which in turn display menstrual rhythms. The advent of wearable devices that can continuously track physiological data opens the possibility of using these prolonged time series of skin temperature data to noninvasively detect the temperature variations that occur in ovulatory menstrual cycles. Here, we show that the menstrual skin temperature variation is better represented by a model of oscillation, the cosinor, than by a biphasic square wave model. We describe how applying a cosinor model to a menstrual cycle of distal skin temperature data can be used to assess whether the data oscillate or not, and in cases of oscillation, rhythm metrics for the cycle, including mesor, amplitude, and acrophase, can be obtained. We apply the method to wearable temperature data collected at a minute resolution each day from 120 female individuals over a menstrual cycle to illustrate how the method can be used to derive and present menstrual cycle characteristics, which can be used in other analyses examining indicators of female health. The cosinor method, frequently used in circadian rhythms studies, can be employed in research to facilitate the assessment of menstrual cycle effects on physiological parameters, and in clinical settings to use the characteristics of the menstrual cycles as health markers or to facilitate menstrual chronotherapy.

利用可穿戴式皮肤温度数据推进真实世界中月经周期的跟踪和特征描述。
月经周期是一个涉及不同器官和激素相互作用的循环,能够影响包括体温和心率在内的许多生理过程,而体温和心率又反过来显示月经节律。可持续跟踪生理数据的可穿戴设备的出现,为利用这些长时间序列的皮肤温度数据无创检测排卵性月经周期中的温度变化提供了可能。在这里,我们表明,与双相方波模型相比,余弦振荡模型更能代表月经期皮肤温度的变化。我们描述了如何将余弦模型应用于远端皮肤温度数据的月经周期,以评估数据是否发生振荡,并在发生振荡的情况下,获得周期的节律指标,包括介数、振幅和倒相。我们将该方法应用于从 120 名女性身上收集到的月经周期中每天一分钟分辨率的可穿戴体温数据,以说明该方法如何用于推导和呈现月经周期特征,这些特征可用于研究女性健康指标的其他分析中。昼夜节律研究中经常使用的 cosinor 方法可用于研究,以方便评估月经周期对生理参数的影响,也可用于临床,将月经周期特征作为健康标记或促进月经时间疗法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.10
自引率
8.60%
发文量
48
审稿时长
>12 weeks
期刊介绍: Journal of Biological Rhythms is the official journal of the Society for Research on Biological Rhythms and offers peer-reviewed original research in all aspects of biological rhythms, using genetic, biochemical, physiological, behavioral, epidemiological & modeling approaches, as well as clinical trials. Emphasis is on circadian and seasonal rhythms, but timely reviews and research on other periodicities are also considered. The journal is a member of the Committee on Publication Ethics (COPE).
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