PO.PS01.06 · 人群科学
利用All of Us数据集评估乳腺癌女性的C反应蛋白与睡眠
An evaluation of c-reactive protein and sleep in women with breast cancer using the All of Us dataset
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
背景：患乳腺癌的女性可能因各种原因遭遇睡眠障碍。健康状况与所获睡眠质量相关，而睡眠质量也与愈合相关。持续的睡眠障碍可能导致生活质量较差。因此，我们利用All of Us数据集中的SDoH（健康的社会决定因素）调查，评估乳腺癌参与者所在社区的噪音，作为睡眠障碍的衡量指标。患乳腺癌且睡眠质量较差的女性可能经历疾病进展，这可能与炎症生物标志物（如C反应蛋白）相关。
方法：根据All of Us第8版数据集的SDoH调查，参与者被分为两个队列：嘈杂和非嘈杂居住环境。我们使用多种统计检验比较两组数据。采用Welch t检验比较两个队列及其以分钟计的清醒、浅睡、深睡和REM睡眠水平。我们还使用Mann-Whitney U检验比较四个睡眠水平。睡眠时长与C反应蛋白之间的相关性采用Pearson相关系数检验。每项检验均通过Jupyter notebook使用Python编程完成。
结果：在All of Us数据集第8版更新后，约有299名确诊乳腺恶性肿瘤的女性符合队列纳入标准，以比较其社区噪音水平、睡眠质量水平，以及通过FitBit数据和调查测得的C反应蛋白。噪音水平与睡眠分钟数之间，或睡眠水平与C反应蛋白测量值之间，均无统计学显著差异。
结论：优质睡眠对整体健康至关重要，这一点已得到充分确立。我们收集的数据未能建立睡眠水平与C反应蛋白测量值之间的相关性。虽然我们的结果并非如预期，但重要的是要认识到数据存在偏倚，因为两个队列分布并不均衡。此外，尽管第8版数据集增加了参与者，我们观察到医疗资源匮乏和研究不足社区的代表性仍然不足。为了提供更具人群代表性的数据，需要在提供相关数据的参与者中增加多样性。
查看英文原文 English abstract
Background: Women who have breast cancer are likely to encounter sleep disturbances for various reasons. Wellness is associated with the quality of sleep one receives, and the quality of sleep is also associated with healing. Continuous sleep disturbances could lead to a poorer quality of life. Therefore, we used the SDoH survey in the All of Us dataset to evaluate noise in the neighborhoods of participants with breast cancer as a measure of sleep disturbances. Women with breast cancer and poor sleep quality may experience disease progression which could be correlated by inflammation biomarkers, such as c-reactive protein.
Methods: According to the SDoH survey from the All of Us version 8 dataset, participants were divided into two cohorts, noisy and non-noisy living environments. We used multiple statistical tests to compare the groups' data. The Welch's t-test was used to compare the two cohorts and their awake, light, deep, and REM sleep level in minutes. We also used the Mann Whitney U test to compare the four levels of sleep. The correlation between sleep length and c-reactive protein was tested by Pearson's correlation coefficient. Each test was completed via Jupyter notebook using Python coding.
Results: Upon update of the All of Us dataset version 8 update, about two-hundred and ninety-nine breast malignancy-diagnosed women met the inclusion criteria of the cohort to compare noise levels of their neighborhood, quality of sleep level, and the measurement of their C-reactive protein via FitBit data and surveys. There was no statistically significant difference between noise levels and minutes of sleep or sleep level and c-reactive protein measurements.
Conclusion: It is well-established that quality sleep is essential for overall wellness. The data we collected did not establish correlation between sleep level and C-reactive protein measurements. While our outcomes are not as we predicted, it is important to know that the data were skewed, as the two cohorts were not evenly distributed. Furthermore, despite the addition of participants in the version 8 dataset, we observed that the representation of medically underserved and understudied communities was still deficient. To provide more population representative data, there needs to be more diversity amongst the participants providing pertinent data.
利益披露 Disclosure
L. J. Grant, None..
L. K. Evans, None..
I. T. Jubilee, None..
N. R. Lemieux, None..
K. P. Lemieux, None.