Corbalán-Tutau M D, Gómez-Abellán P, Madrid J A, Canteras M, Ordovás J M, Garaulet M
Department of Physiology, Faculty of Biology, University of Murcia, Murcia, Spain.
Department of Biostatistics, University of Murcia, Murcia, Spain.
Clin Nutr. 2015 Jun;34(3):477-83. doi: 10.1016/j.clnu.2014.05.007. Epub 2014 May 28.
BACKGROUND & AIMS: To test several circadian rhythm variables in a female population to identify the best tool to assess chronodisruption in obesity and metabolic syndrome (MetS) to define a score to be used for chronodisruption characterization in clinical practice.
Anthropometric measurements and markers of circadian rhythms, such as sleep and feeding diary, Horne-Ostberg questionnaire, melatonin and cortisol measurements, and wrist temperature measurements, were determined. MetS variables were also analyzed. Study was conducted in 70 women. Data were subjected to factor analysis. Receiver operating characteristic curves were used as predictors of chronodisruption risk, and a score was calculated to classify the subjects of risk.
Factor analysis showed that the first-factor grouped variables were related to the skin temperature measurement. Second factor consisted of variables related to salivary cortisol levels and obesity-related measurements. Third factor included variables related to sleep-wake cycle. Fourth factor referred to peripheral temperature variables and included the classification of subjects according to the Horne-Ostberg questionnaire. To obtain a final punctuation we performed the weighted mean of the first four factors. The final range was from 27 to 57, mean value of 42. Punctuation was defined as the "chronodisruption score." Women displaying higher chronodisruption scores had higher MetS risk.
The study demonstrates that wrist temperature recordings, together with two questions of sleep onset and offset, and one morning salivary cortisol determination could be enough to characterize the chronobiology of obesity and MetS, a new chronodisruption score was developed.
在女性群体中测试多个昼夜节律变量，以确定评估肥胖和代谢综合征（MetS）中昼夜节律紊乱的最佳工具，从而定义一个用于临床实践中昼夜节律紊乱特征描述的评分。
测定人体测量指标以及昼夜节律标志物，如睡眠和饮食日记、霍恩-奥斯特伯格问卷、褪黑素和皮质醇测量值以及手腕温度测量值。还对MetS变量进行了分析。该研究纳入了70名女性。对数据进行因子分析。使用受试者工作特征曲线作为昼夜节律紊乱风险的预测指标，并计算一个评分以对风险受试者进行分类。
因子分析表明，第一个因子分组的变量与皮肤温度测量有关。第二个因子由与唾液皮质醇水平和肥胖相关测量有关的变量组成。第三个因子包括与睡眠-觉醒周期有关的变量。第四个因子涉及外周温度变量，并包括根据霍恩-奥斯特伯格问卷对受试者的分类。为了获得最终评分，我们对前四个因子进行了加权平均。最终范围为27至57，平均值为42。该评分被定义为“昼夜节律紊乱评分”。昼夜节律紊乱评分较高的女性患MetS的风险更高。
该研究表明，手腕温度记录，连同两个关于入睡和起床时间的问题以及一次早晨唾液皮质醇测定，可能足以表征肥胖和MetS的时间生物学特征，由此开发了一种新的昼夜节律紊乱评分。
