Hustvedt Bo-Egil, Christophersen Alf, Johnsen Lene R, Tomten Heidi, McNeill Geraldine, Haggarty Paul, Løvø Arne
Institute for Nutrition Research, University of Oslo, Norway.
Br J Nutr. 2004 Dec;92(6):1001-8. doi: 10.1079/bjn20041272.
The ActiReg (PreMed AS, Oslo, Norway) system is unique in using combined recordings of body position and motion alone or combined with heart rate (HR) to calculate energy expenditure (EE) and express physical activity (PA). The ActiReg has two pairs of position and motion sensors connected by cables to a battery-operated storage unit fixed to a waist belt. Each pair of sensors was attached by medical tape to the chest and to the front of the right thigh respectively. The collected data were transferred to a personal computer and processed by a dedicated program ActiCalc. Calculation models for EE with and without HR are presented. The models were based on literature values for the energy costs of different activities and therefore require no calibration experiments. The ActiReg system was validated against doubly labelled water (DLW) and indirect calorimetry. The DLW validation demonstrated that neither EE calculated from ActiReg data alone (EEAR) nor from combined ActiReg and HR data (EEAR-HR) were statistically different from DLW results. The EEAR procedure causes some underestimation of EE >11 MJ corresponding to a PA level >2.0. This underestimation is reduced by the EEAR-HR procedure. The objective recording of the time spent in different body positions and at different levels of PA may be useful in studies of PA in different groups and in studies of whether recommendations for PA are being met. The comparative ease of data collection and calculation should make ActiReg a useful instrument to measure habitual PA level and EE.
ActiReg系统（挪威奥斯陆的PreMed AS公司）独具特色，它仅通过记录身体位置和运动情况，或结合心率（HR）来计算能量消耗（EE）并表示身体活动（PA）。ActiReg有两对位置和运动传感器，通过电缆连接到固定在腰带上的电池供电存储单元。每对传感器分别用医用胶带贴在胸部和右大腿前部。收集到的数据被传输到个人电脑，并由专用程序ActiCalc进行处理。文中给出了有HR和无HR情况下EE的计算模型。这些模型基于不同活动能量消耗的文献值，因此无需校准实验。ActiReg系统通过双标水（DLW）和间接量热法进行了验证。DLW验证表明，仅根据ActiReg数据计算的EE（EEAR）以及ActiReg与HR数据相结合计算的EE（EEAR-HR）与DLW结果在统计学上无差异。EEAR程序会导致对应PA水平>2.0且EE>11 MJ的情况出现一定程度的低估。EEAR-HR程序可减少这种低估。客观记录在不同身体位置和不同PA水平下所花费的时间，可能对不同群体的PA研究以及是否达到PA建议的研究有用。数据收集和计算相对简便，这应会使ActiReg成为测量习惯性PA水平和EE的有用工具。
