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本文引用的文献

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Race and Mental Health Among Older Adults: Within- and Between-Group Comparisons.老年人中的种族与心理健康:组内和组间比较
Innov Aging. 2020 Dec 16;4(5):igaa056. doi: 10.1093/geroni/igaa056. eCollection 2020.
2
Intraindividual Variability in Sleep and Levels of Systemic Inflammation in Nurses.护士睡眠个体内变异性与全身炎症水平。
Psychosom Med. 2020 Sep;82(7):678-688. doi: 10.1097/PSY.0000000000000843.
3
The effect of acute stress on salivary markers of inflammation: A systematic review and meta-analysis.急性应激对唾液炎症标志物的影响:系统评价和荟萃分析。
Brain Behav Immun. 2020 Aug;88:887-900. doi: 10.1016/j.bbi.2020.04.078. Epub 2020 May 1.
4
Race, Gender, and Socioeconomic Variations in C-Reactive Protein Using the Health and Retirement Study.利用健康与退休研究探讨 C 反应蛋白的种族、性别和社会经济差异。
J Gerontol B Psychol Sci Soc Sci. 2021 Feb 17;76(3):583-595. doi: 10.1093/geronb/gbaa027.
5
Racial Differences in Elevated C-Reactive Protein Among US Older Adults.美国老年人中 C 反应蛋白升高的种族差异。
J Am Geriatr Soc. 2020 Feb;68(2):362-369. doi: 10.1111/jgs.16187. Epub 2019 Oct 21.
6
Are sleep patterns influenced by race/ethnicity - a marker of relative advantage or disadvantage? Evidence to date.睡眠模式是否受种族/族裔影响——相对优势或劣势的一个标志?迄今为止的证据。
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种族/民族差异与炎症标志物:探究睡眠时间和睡眠效率的作用。

Racial/ethnic variations in inflammatory markers: exploring the role of sleep duration and sleep efficiency.

机构信息

Department of Human Development and Family Sciences, University of Delaware, Newark, DE, 19716, USA.

Department of Psychology, University of North Texas, Denton, TX, USA.

出版信息

J Behav Med. 2022 Dec;45(6):855-867. doi: 10.1007/s10865-022-00357-8. Epub 2022 Aug 27.

DOI:10.1007/s10865-022-00357-8
PMID:36029411
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10062430/
Abstract

Individuals from minoritized racial/ethnic groups have higher levels of circulating inflammatory markers. However, the mechanisms underlying these differences remain understudied. The objective of this study was to examine racial/ethnic variations in multiple markers of inflammation and whether impaired sleep contributes to these racial/ethnic differences. Nurses from two regional hospitals in Texas (n = 377; 71.62% White; 6.90% Black; 11.14% Hispanic, 10.34% Asian; mean age = 39.46; 91.78% female) completed seven days of sleep diaries and actigraphy to assess mean and variability in total sleep time (TST) and sleep efficiency (SE). On day 7, blood was drawn to assess 4 inflammatory markers: C-reactive protein (CRP), Interleukin-6 (IL-6), Interleukin-1 beta (IL-1β), and tumor necrosis factor-alpha (TNF-α). Results from regression models showed differences in inflammatory markers by race/ethnicity, adjusting for age and gender. The associations between sleep parameters and inflammatory markers also varied by race/ethnicity. Among White nurses, lower mean and greater variability in actigraphy-determined TST and greater variability in diary-determined TST were associated with higher levels of IL-6. Among Black nurses, lower mean diary-determined SE was associated with higher levels of IL-6 and IL-1β. Among Hispanic nurses, greater diary-determined mean TST was associated with higher CRP. Among Asian nurses, greater intraindividual variability in actigraphy-determined SE was associated with lower CRP. Among nurses, we did not find racial/ethnic disparities in levels of inflammation. However, analyses revealed differential relationships between sleep and inflammatory markers by race/ethnicity. Results highlight the importance of using a within-group approach to understand predictors of inflammatory markers.

摘要

少数族裔人群的个体循环炎症标志物水平较高。然而,这些差异的潜在机制仍未得到充分研究。本研究旨在检查炎症标志物的种族/民族差异,以及睡眠障碍是否导致这些种族/民族差异。德克萨斯州两家地区医院的护士(n=377;71.62%为白人;6.90%为黑人;11.14%为西班牙裔,10.34%为亚裔;平均年龄为 39.46;91.78%为女性)完成了七天的睡眠日记和活动记录仪,以评估总睡眠时间(TST)和睡眠效率(SE)的平均值和变异性。在第 7 天,抽取血液以评估 4 种炎症标志物:C 反应蛋白(CRP)、白细胞介素-6(IL-6)、白细胞介素-1β(IL-1β)和肿瘤坏死因子-α(TNF-α)。回归模型的结果显示,在调整年龄和性别后,炎症标志物存在种族/民族差异。睡眠参数与炎症标志物之间的关联也因种族/民族而异。在白人护士中,活动记录仪确定的 TST 平均值较低且变异性较大,以及日记确定的 TST 变异性较大与 IL-6 水平较高相关。在黑人护士中,日记确定的 SE 平均值较低与 IL-6 和 IL-1β 水平较高相关。在西班牙裔护士中,日记确定的 TST 平均值较高与 CRP 水平较高相关。在亚裔护士中,活动记录仪确定的 SE 个体内变异性较大与 CRP 水平较低相关。在护士中,我们没有发现炎症水平的种族/民族差异。然而,分析显示,睡眠与炎症标志物之间的关系因种族/民族而异。结果强调了使用组内方法来理解炎症标志物预测因素的重要性。