UNASSIGNED: The aim of the present study was to analyze the associations between sleep duration and cardiovascular risk biomarkers, including advanced glycation end-products (AGEs) measured by skin autofluorescence (SAF), maximum carotid intima-media thickness (IMTMax), aortic pulse wave velocity (a-PWV), pulse pressure (PP), and low-density lipoprotein cholesterol (LDL-C), in healthy adults (EVasCu study).
UNASSIGNED: The EVasCu study included 390 participants. Simple and multiple linear regressions were performed between sleep duration and cardiovascular risk markers. ANOVA analysis and ANCOVA analysis adjusted for various covariates were then performed after categorizing sleep into 6 h, 6-8 h, and >8 h.
UNASSIGNED: 296 participants were included in the analyses (43.97 ± 12.60 years, 63.9% female). Simple linear regressions showed an inverse association between sleep duration and SAF, IMTMax, aPWV and PP. However, in the multiple linear regression with all the covariates, the statistical significance was lost. For its part, in the ANOVA analyses, sleep duration was also associated with the same parameters, but when performing the fully adjusted ANCOVA analyses, the statistical significance for SAF was maintained (p = 0.015), obtaining a difference of 0.223 arbitrary units (p = 0.017) when comparing the group <6 h vs. > 8 h. Finally, there was no association for LDL-C.
UNASSIGNED: An inverse association was found between sleep duration and APS, which is considered a marker of cardiovascular risk. Although prospective studies are needed, it is suggested that insufficient sleep may increase cardiovascular risk, which could be a key factor in future public health policies to promote health and prevent CVD.
■本研究的目的是分析睡眠持续时间与心血管风险生物标志物之间的关联,包括通过皮肤自发荧光(SAF)测量的晚期糖基化终产物(AGEs),最大颈动脉内中膜厚度(IMTMax),主动脉脉搏波传导速度(a-PWV),脉压(PP),低密度脂蛋白胆固醇(LDL-C),健康成人(EVasCu研究)。
■EVasCu研究包括390名参与者。在睡眠持续时间和心血管风险标志物之间进行简单和多重线性回归。然后在将睡眠分类为6小时后,进行针对各种协变量进行校正的ANOVA分析和ANCOVA分析。6-8小时,>8小时。
■296名参与者被纳入分析(43.97±12.60岁,63.9%女性)。简单的线性回归显示睡眠持续时间与SAF之间呈负相关,IMTMax,aPWV和PP。然而,在具有所有协变量的多元线性回归中,失去了统计学意义。就其本身而言,在方差分析中,睡眠持续时间也与相同的参数相关,但是当执行完全调整后的ANCOVA分析时,SAF的统计显著性保持不变(p=0.015),当比较<6h组与比较时,获得0.223任意单位的差异(p=0.017)>8小时。最后,LDL-C没有关联。
■在睡眠持续时间和APS之间发现了负相关,这被认为是心血管风险的标志。虽然需要前瞻性研究,有人认为睡眠不足可能会增加心血管风险,这可能是未来促进健康和预防心血管疾病的公共卫生政策的关键因素。