Department of Neonatology, University of Tuebingen, Tuebingen, Germany; Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women's Hospital & Harvard Medical School, Boston, Massachusetts.
Division of Research, Kaiser Permanente Northern California, Oakland, California.
J Adolesc Health. 2019 Aug;65(2):224-231. doi: 10.1016/j.jadohealth.2019.02.008. Epub 2019 May 2.
Emerging data indicate that the timing and rhythms of energetic behaviors may influence metabolism and obesity risk. Our aim was to derive diurnal rest-activity patterns from actigraphy in adolescents and analyze associations with adiposity measures and cardiometabolic risk factors.
Adolescents in the Project Viva cohort wore a wrist actigraph over 7 days. We derived markers of daily rest-activity patterns from actigraphy using nonparametric models, generating measurements of relative amplitude (RA). RA reflects the normalized difference in activity measured during the most active 10-hour period and the least active 5-hour period, averaged over multiple 24-hour periods. Using multivariable-adjusted linear regression models, we estimated associations of RA and its components with markers of adiposity (body mass index, waist circumference, skinfolds, dual-energy X-ray absorptiometry fat mass) and cardiometabolic health (cardiometabolic risk score, derived as the mean of five sex-specific internal z-scores for waist circumference, systolic blood pressure, high-density lipoprotein cholesterol scaled inversely, and log-transformed triglycerides and homeostatic model assessment of insulin resistance).
A total of 778 adolescents provided at least 5 days of valid actigraphy data. The average age was 13.2 (±.9) years, 52% were female, and the average RA was .9 (±.1). A higher RA reflecting higher activity during wakefulness and lower activity during the night was associated with more favorable indices of adiposity (e.g., -.35 kg/m lower body mass index per each .04 units increment of RA; 95% confidence interval: -.60 to -.09).
In this large sample of adolescents, a higher RA emerged as a novel biomarker, associated with more favorable cardiometabolic profiles.
新出现的数据表明，能量代谢行为的时间和节律可能会影响新陈代谢和肥胖风险。我们的目的是从活动记录仪中得出青少年的昼夜休息-活动模式，并分析其与肥胖测量指标和心血管代谢危险因素的关联。
参加 Viva 项目的青少年在 7 天内佩戴腕部活动记录仪。我们使用非参数模型从活动记录仪中得出每日休息-活动模式的标志物，生成相对幅度（RA）的测量值。RA 反映了在多个 24 小时周期内，在最活跃的 10 小时期间测量的活动与最不活跃的 5 小时期间测量的活动之间的归一化差异。使用多变量调整的线性回归模型，我们估计 RA 及其组成部分与肥胖标志物（体重指数、腰围、皮褶厚度、双能 X 射线吸收法脂肪量）和心血管代谢健康（心血管代谢风险评分，定义为五个性别特异性内部 z 分数的平均值，用于腰围、收缩压、高密度脂蛋白胆固醇的倒数和对数转换甘油三酯和稳态模型评估的胰岛素抵抗）的关联。
共有 778 名青少年提供了至少 5 天有效的活动记录仪数据。平均年龄为 13.2（±.9）岁，52%为女性，平均 RA 为.9（±.1）。较高的 RA 反映了清醒期间更高的活动水平和夜间更低的活动水平，与更有利的肥胖指标相关（例如，RA 每增加 0.04 个单位，体重指数降低 0.35kg/m；95%置信区间：-0.60 至-0.09）。
在这个大型青少年样本中，较高的 RA 作为一种新的生物标志物出现，与更有利的心血管代谢特征相关。
