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通过连续血糖监测仪在整个月经周期测量的血糖变异性。

Blood glucose variance measured by continuous glucose monitors across the menstrual cycle.

作者信息

Lin Georgianna, Siddiqui Rumsha, Lin Zixiong, Blodgett Joanna M, Patel Shwetak N, Truong Khai N, Mariakakis Alex

机构信息

University of Toronto, Computer Science, Toronto, ON, Canada.

Queen's University, Medicine, Kingston, ON, Canada.

出版信息

NPJ Digit Med. 2023 Aug 11;6(1):140. doi: 10.1038/s41746-023-00884-x.

Abstract

Past studies on how blood glucose levels vary across the menstrual cycle have largely shown inconsistent results based on limited blood draws. In this study, 49 individuals wore a Dexcom G6 continuous glucose monitor and a Fitbit Sense smartwatch while measuring their menstrual hormones and self-reporting characteristics of their menstrual cycles daily. The average duration of participation was 79.3 ± 21.2 days, leading to a total of 149 cycles and 554 phases in our dataset. We use periodic restricted cubic splines to evaluate the relationship between blood glucose and the menstrual cycle, after which we assess phase-based changes in daily median glucose level and associated physiological parameters using mixed-effects models. Results indicate that daily median glucose levels increase and decrease in a biphasic pattern, with maximum levels occurring during the luteal phase and minimum levels occurring during the late-follicular phase. These trends are robust to adjustments for participant characteristics (e.g., age, BMI, weight) and self-reported menstrual experiences (e.g., food cravings, bloating, fatigue). We identify negative associations between each of daily estrogen level, step count, and low degrees of fatigue with higher median glucose levels. Conversely, we find positive associations between higher food cravings and higher median glucose levels. This study suggests that blood glucose could be an important parameter for understanding menstrual health, prompting further investigation into how the menstrual cycle influences glucose fluctuation.

摘要

过去关于血糖水平在月经周期中如何变化的研究,基于有限的采血样本,大多显示出不一致的结果。在本研究中,49名个体佩戴了德康G6连续血糖监测仪和Fitbit Sense智能手表,同时每天测量她们的月经激素,并自我报告月经周期的特征。平均参与时长为79.3±21.2天,在我们的数据集中产生了总共149个周期和554个阶段。我们使用周期性受限立方样条来评估血糖与月经周期之间的关系,之后我们使用混合效应模型评估每日血糖中位数水平和相关生理参数基于阶段的变化。结果表明,每日血糖中位数水平呈双相模式上升和下降,最高水平出现在黄体期,最低水平出现在卵泡晚期。这些趋势在对参与者特征(如年龄、体重指数、体重)和自我报告的月经经历(如食物渴望、腹胀、疲劳)进行调整后依然稳健。我们发现每日雌激素水平、步数和低程度疲劳中的每一项与较高的血糖中位数水平之间存在负相关。相反,我们发现较高的食物渴望与较高的血糖中位数水平之间存在正相关。本研究表明,血糖可能是理解月经健康的一个重要参数,促使进一步研究月经周期如何影响血糖波动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/317f/10421863/5bdb529c3439/41746_2023_884_Fig1_HTML.jpg

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