Sani Mamane, Refinetti Roberto, Jean-Louis Girardin, Pandi-Perumal S R, Durazo-Arvizu Ramon A, Dugas Lara R, Kafensztok Ruth, Bovet Pascal, Forrester Terrence E, Lambert Estelle V, Plange-Rhule Jacob, Luke Amy
Circadian Rhythm Laboratory, Department of Psychology, Boise State University , Boise, ID , USA .
Chronobiol Int. 2015 Jun;32(5):650-6. doi: 10.3109/07420528.2015.1038559. Epub 2015 Jun 2.
Daily rhythmicity in the locomotor activity of laboratory animals has been studied in great detail for many decades, but the daily pattern of locomotor activity has not received as much attention in humans. We collected waist-worn accelerometer data from more than 2000 individuals from five countries differing in socioeconomic development and conducted a detailed analysis of human locomotor activity. Body mass index (BMI) was computed from height and weight. Individual activity records lasting 7 days were subjected to cosinor analysis to determine the parameters of the daily activity rhythm: mesor (mean level), amplitude (half the range of excursion), acrophase (time of the peak) and robustness (rhythm strength). The activity records of all individual participants exhibited statistically significant 24-h rhythmicity, with activity increasing noticeably a few hours after sunrise and dropping off around the time of sunset, with a peak at 1:42 pm on average. The acrophase of the daily rhythm was comparable in men and women in each country but varied by as much as 3 h from country to country. Quantification of the socioeconomic stages of the five countries yielded suggestive evidence that more developed countries have more obese residents, who are less active, and who are active later in the day than residents from less developed countries. These results provide a detailed characterization of the daily activity pattern of individual human beings and reveal similarities and differences among people from five countries differing in socioeconomic development.
几十年来,人们对实验动物运动活动的每日节律性进行了极为详细的研究,但人类运动活动的每日模式却未受到同等程度的关注。我们收集了来自五个社会经济发展水平不同国家的2000多名个体佩戴在腰部的加速度计数据,并对人类运动活动进行了详细分析。根据身高和体重计算身体质量指数(BMI)。对持续7天的个体活动记录进行余弦分析,以确定每日活动节律的参数:中值(平均水平)、振幅(波动范围的一半)、峰相位(峰值时间)和稳健性(节律强度)。所有个体参与者的活动记录均呈现出具有统计学意义上的24小时节律性,活动在日出后数小时明显增加,并在日落时分左右下降,平均峰值出现在下午1:42。每个国家男性和女性的每日节律峰相位相当,但不同国家之间相差多达3小时。对这五个国家社会经济阶段的量化得出了一些启发性证据,表明较发达国家的肥胖居民更多,他们的活动量较少,且与较不发达国家的居民相比,他们在一天中活动的时间更晚。这些结果详细描述了个体人类的每日活动模式,并揭示了来自五个社会经济发展水平不同国家的人们之间的异同。