Habitual sleep as a contributor to racial differences in cardiometabolic risk
Habitual sleep as a contributor to racial differences in cardiometabolic risk
复制标题
DOI：
10.1073/pnas.1618167114
复制
发表时间：
2017-08-15
影响因子：
11.1
通讯作者：
Ryff, Carol D.
中科院分区：
文献类型：
--
作者：
Curtis, David S.;Fuller-Rowell, Thomas E.;Ryff, Carol D.
睡眠不足和睡眠中断与心血管和代谢失调及发病有关。目前的研究探讨了黑人/非裔美国人 (AA) 和白人/欧洲裔美国人 (EA) 成年人之间的睡眠差异在多大程度上解释了心脏代谢 (CMB) 疾病风险的种族差异。美国中年研究的 426 名参与者（31% AA；69% EA；61% 女性；平均年龄 = 56.8 岁）通过 7 个晚上的腕部活动记录仪评估了总睡眠时间和睡眠效率（床上睡眠时间的百分比）。 CMB 风险由七种生物标志物组成[血压、腰围、糖化血红蛋白 (HbA1c)、胰岛素抵抗、甘油三酯、高密度脂蛋白胆固醇 (HDL-C) 和 C 反应蛋白]。协变量包括社会人口特征和相关的健康行为。结果表明，与 EA 相比，AA 获得的睡眠时间较少（341 分钟 vs. 381 分钟），且睡眠效率较低（72.3% vs. 82.2%）（P 值 < 0.001）。此外，睡眠时间和睡眠效率分别解释了 41% 和 58% 的 CMB 风险种族差异。在按性别分层的模型中，仅在女性中，种族通过睡眠时间和效率与 CMB 风险间接相关（分别解释了 33% 和 65% 的种族差异）。间接效应对于排除患有糖尿病或心脏病的参与者的替代模型规范是稳健的。因此，在努力减少 CMB 疾病的种族差异时需要考虑睡眠决定因素和睡眠健康。
Insufficient and disrupted sleep is linked with cardiovascular and metabolic dysregulation and morbidity. The current study examines the degree to which differences in sleep between black/African American (AA) and white/European American (EA) adults explain racial differences in cardiometabolic (CMB) disease risk. Total sleep time and sleep efficiency (percent of time in bed asleep) were assessed via seven nights of wrist actigraphy among 426 participants in the Midlife in the United States Study (31% AA; 69% EA; 61% female; mean age = 56.8 y). CMB risk was indexed as a composite of seven biomarkers [ blood pressure, waist circumference, hemoglobin A1c (HbA1c), insulin resistance, triglycerides, HDL cholesterol (HDL-C), and C-reactive protein]. Covariates included sociodemographic characteristics and relevant health behaviors. Results indicated that AAs relative to EAs obtained less sleep (341 vs. 381 min) and had lower sleep efficiency (72.3 vs. 82.2%) (P values < 0.001). Further, 41% and 58% of the racial difference in CMB risk was explained by sleep time and sleep efficiency, respectively. In models stratified by sex, race was indirectly associated with CMB risk via sleep time and efficiency only among females (explaining 33% and 65% of the race difference, respectively). Indirect effects were robust to alternative model specifications that excluded participants with diabetes or heart disease. Consideration of sleep determinants and sleep health is therefore needed in efforts to reduce racial differences in CMB disease.