Department of Human Biology, Maastricht University, Maastricht, The Netherlands.
Scand J Med Sci Sports. 2012 Feb;22(1):139-45. doi: 10.1111/j.1600-0838.2010.01130.x. Epub 2010 Jun 1.
This study investigated which aspects of the individuals' activity behavior determine the physical activity level (PAL). Habitual physical activity of 20 Dutch adults (age: 26-60 years, body mass index: 24.5 ± 2.7 kg/m(2)) was measured using a tri-axial accelerometer. Accelerometer output was used to identify the engagement in different types of daily activities with a classification tree algorithm. Activity behavior was described by the daily duration of sleeping, sedentary behavior (lying, sitting, and standing), walking, running, bicycling, and generic standing activities. Simultaneously, the total energy expenditure (TEE) was measured using doubly labeled water. PAL was calculated as TEE divided by sleeping metabolic rate. PAL was significantly associated (P<0.05) with sedentary time (R=-0.72), and the duration of walking (R=0.49), bicycling (R=0.77), and active standing (R=0.62). A negative association was observed between sedentary time and the duration of active standing (R=-0.87; P<0.001). A multiple-linear regression analysis showed that 75% of the variance in PAL could be predicted by the duration of bicycling (Partial R(2) =59%; P<0.01), walking (Partial R(2) =9%; P<0.05) and being sedentary (Partial R(2) =7%; P<0.05). In conclusion, there is objective evidence that sedentary time and activities related to transportation and commuting, such as walking and bicycling, contribute significantly to the average PAL.
本研究旨在探究个体活动行为的哪些方面决定了体力活动水平(PAL)。通过三轴加速度计测量了 20 名荷兰成年人(年龄:26-60 岁,身体质量指数:24.5±2.7kg/m²)的习惯性体力活动。使用分类树算法来识别不同类型的日常活动中的活动行为。活动行为由每日睡眠时间、久坐行为(躺着、坐着和站着)、步行、跑步、骑自行车和一般站立活动的持续时间来描述。同时,使用双标水测量总能量消耗(TEE)。PAL 计算为 TEE 除以睡眠代谢率。PAL 与久坐时间显著相关(P<0.05)(R=-0.72),与步行时间(R=0.49)、骑自行车时间(R=0.77)和主动站立时间(R=0.62)显著相关。观察到久坐时间与主动站立时间的持续时间呈负相关(R=-0.87;P<0.001)。多元线性回归分析表明,PAL 的 75%可以通过骑自行车时间(部分 R²=59%;P<0.01)、步行时间(部分 R²=9%;P<0.05)和久坐时间(部分 R²=7%;P<0.05)来预测。总之,有客观证据表明,久坐时间和与交通和通勤相关的活动,如步行和骑自行车,对平均 PAL 有显著贡献。