KU Leuven, Department of Kinesiology, Heverlee, BELGIUM.
Med Sci Sports Exerc. 2015 Jun;47(6):1265-71. doi: 10.1249/MSS.0000000000000529.
Objective methods to quantify physical activity (PA) and predict energy expenditure (EE) are needed in the old and old-old. The aim of the present study was to evaluate the validity of EE estimates by the SenseWear Mini (SWMini) compared with indirect calorimetry during daily life activities in institutionalized older adults.
Sixty nursing home residents (mean age = 85.5 ± 5.5 yr) wore the SWMini during rest (sitting quietly) and three activity tasks (walking, sitting/rising/walking, and moving objects). SWMini data were processed using software version 7.0. The criterion EE (kcal·min⁻¹) was estimated by a portable gas analyzer, Oxycon Mobile (OM).
The analyses revealed high correlations (rsitting = 0.68, ractivity tasks = 0.88) between EE estimated by OM and SWMini. EE increased between sitting periods and activity tasks for EE estimated by OM (mean difference = 61.5% ± 8.9%), as well as for EE estimated by SWMini (mean difference = 58.2% ± 7.4%) (P < 0.001). However, SWMini significantly underestimated EE, with an overall absolute percent error of 14.1% ± 7.9%. The largest absolute percent differences were observed during sitting periods compared with activity tasks (P < 0.05). Older age significantly reduced accuracy, explaining 12% of the variance in total percent error (β = 0.42, t = 2.84, P < 0.05).
The high percent error scores indicate that the SWMini is of limited value for quantifying EE in the old and old-old. The accuracy could be improved by developing accurate age- and activity-specific algorithms. On the other hand, the SWMini can be used as a suitable device for researchers interested in specific levels and patterns of PA and sedentary behavior.
在老年人和高龄老年人中,需要客观的方法来量化身体活动(PA)并预测能量消耗(EE)。本研究的目的是评估在机构化老年人日常生活活动中,使用 SenseWear Mini(SWMini)估算 EE 与间接测热法相比的有效性。
60 名养老院居民(平均年龄=85.5±5.5 岁)在休息(安静地坐着)和 3 项活动任务(步行、坐起/行走/行走和搬运物品)时佩戴 SWMini。使用软件版本 7.0 处理 SWMini 数据。使用便携式气体分析仪 Oxycon Mobile(OM)估算标准 EE(kcal·min⁻¹)。
分析显示,OM 估算的 EE 与 SWMini 之间存在高度相关性(rsitting=0.68,ractivity tasks=0.88)。与 OM 估算的 EE 相比,坐息期间和活动任务期间的 EE 增加(OM 估算的 EE 平均差异=61.5%±8.9%,SWMini 估算的 EE 平均差异=58.2%±7.4%)(P<0.001)。然而,SWMini 明显低估了 EE,总体绝对百分比误差为 14.1%±7.9%。与活动任务相比,在坐息期间观察到的绝对百分比差异最大(P<0.05)。年龄较大显著降低了准确性,解释了总百分比误差方差的 12%(β=0.42,t=2.84,P<0.05)。
高百分比误差分数表明,SWMini 对量化老年人和高龄老年人的 EE 价值有限。通过开发针对年龄和活动的特定算法,可以提高准确性。另一方面,SWMini 可以作为对特定 PA 和久坐行为水平和模式感兴趣的研究人员的合适设备。