Tsang KaLai, Hiremath Shivayogi V, Cooper Rory A, Ding Dan
Human Engineering Research Laboratories, Department of Veterans Affairs, Pittsburgh, PA;
J Rehabil Res Dev. 2015;52(7):793-803. doi: 10.1682/JRRD.2014.08.0188.
Physical activity monitors are increasingly used to help the general population lead a healthy lifestyle by keeping track of their daily physical activity (PA) and energy expenditure (EE). However, none of the commercially available activity monitors can accurately estimate PA and EE in people who use wheelchairs as their primary means of mobility. Researchers have recently developed custom EE prediction models for manual wheelchair users (MWUs) with spinal cord injuries (SCIs) based on a commercial activity monitor--the SenseWear armband. This study evaluated the performance of two custom EE prediction models, including a general model and a set of activity-specific models among 45 MWUs with SCI. The estimated EE was obtained by using the two custom models and the default manufacturer's model, and it was compared with the gold standard measured by the K4b2 portable metabolic cart. The general, activity-specific, and default models had a mean signed percent error (mean +/- standard deviation) of -2.8 +/- 26.1%, -4.8 +/- 25.4%, and -39.6 +/- 37.8%, respectively. The intraclass correlation coefficient was 0.86 (95% confidence interval [CI] = 0.82 to 0.89) for the general model, 0.83 (95% CI = 0.79 to 0.87) for the activity-specific model, and 0.62 (95% CI = 0.16 to 0.81) for the default model. The custom models for the SenseWear armband significantly improved the EE estimation accuracy for MWUs with SCI.
身体活动监测器越来越多地被用于帮助普通人群通过记录他们的日常身体活动（PA）和能量消耗（EE）来保持健康的生活方式。然而，市面上没有一款活动监测器能够准确估计以轮椅作为主要出行方式的人群的PA和EE。研究人员最近基于一款商业活动监测器——SenseWear臂带，为患有脊髓损伤（SCI）的手动轮椅使用者（MWU）开发了定制的EE预测模型。本研究评估了45名患有SCI的MWU中两种定制EE预测模型的性能，包括一个通用模型和一组特定活动模型。通过使用这两种定制模型和制造商的默认模型获得估计的EE，并将其与K4b2便携式代谢车测量的金标准进行比较。通用模型、特定活动模型和默认模型的平均符号百分比误差（平均值±标准差）分别为-2.8±26.1%、-4.8±25.4%和-39.6±37.8%。通用模型的组内相关系数为0.86（95%置信区间[CI]=0.82至0.89），特定活动模型为0.83（95%CI=0.79至0.87），默认模型为0.62（95%CI=0.16至0.81）。SenseWear臂带的定制模型显著提高了患有SCI的MWU的EE估计准确性。
