Center of Clinical Epidemiology, Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany.
Institute for Medical Informatics, Biometry and Epidemiology, University Clinic Essen, University Duisburg-Essen, Essen, Germany.
Atherosclerosis. 2018 Apr;271:45-52. doi: 10.1016/j.atherosclerosis.2018.02.013. Epub 2018 Feb 9.
Sleep characteristics are associated with incident cardiovascular diseases (CVD), but there is a lack of studies on the association between sleep characteristics and incidence/progression of coronary artery calcification (CAC).
In the Heinz Nixdorf Recall Study, a population-based cohort study in Germany, CAC was assessed by electron-beam tomography at baseline and at 5-year follow-up. In an analysis set of 3043 subjects (age at baseline 45-74 years; 47% men), we fitted logistic and linear regression models to assess associations between self-rated sleep characteristics (nocturnal and total sleep duration; napping; various sleep disorders) and CAC incidence/CAC progression. Progression was measured as 5-year progression factor, as categories of absolute CAC change, and additionally characterized as rapid or slow compared to an extrapolation of baseline CAC values.
We observed barely any association between sleep characteristics and CAC progression regardless of the chosen statistical approach; associations between sleep and CAC incidence were slightly larger, e.g., the geometric mean of the 5-year CAC progression factor was 6.8% (95% confidence interval: -9.5; 25.9) larger for ≤5 h, 2.9% (-7.3; 14.3) larger for 5.1-6.9 h and 7.1% (-2.4; 15.7) smaller for ≥7.5 h total sleep compared to 7- <7.5 h total sleep. For subjects with any regular sleep disorder, the geometric mean of the 5-year CAC progression was 3.5% (-4.7; 11.2) smaller compared to subjects without any regular sleep disorder.
In this German cohort study, sleep characteristics were barely associated with CAC progression.
睡眠特征与心血管疾病（CVD）的发生有关，但关于睡眠特征与冠状动脉钙化（CAC）的发生/进展之间的关系的研究还很缺乏。
在德国一项基于人群的 Heinz Nixdorf 回顾研究中，基线和 5 年随访时通过电子束计算机断层扫描评估 CAC。在一个分析组中，纳入了 3043 名受试者（基线年龄为 45-74 岁；47%为男性），我们拟合了逻辑回归和线性回归模型，以评估自评睡眠特征（夜间和总睡眠时间；午睡；各种睡眠障碍）与 CAC 发生/CAC 进展之间的关系。进展以 5 年进展因子、绝对 CAC 变化的类别来衡量，并且与基线 CAC 值的外推相比，还将进展特征化为快速或缓慢。
无论采用何种统计方法，我们几乎都没有观察到睡眠特征与 CAC 进展之间的关联；睡眠与 CAC 发生之间的关联稍大一些，例如，5 年 CAC 进展因子的几何平均值对于≤5 小时的睡眠时长，比 7-<7.5 小时的睡眠时长长 6.8%（95%置信区间：-9.5；25.9）；对于 5.1-6.9 小时的睡眠时长，比 7-<7.5 小时的睡眠时长长 2.9%（-7.3；14.3）；对于≥7.5 小时的总睡眠时间，比 7-<7.5 小时的总睡眠时间短 7.1%（-2.4；15.7）。对于有任何规律睡眠障碍的受试者，5 年 CAC 进展的几何平均值比没有任何规律睡眠障碍的受试者小 3.5%（-4.7；11.2）。
在这项德国队列研究中，睡眠特征与 CAC 进展几乎没有关联。
