背景:这项研究评估了支持蓝牙的原型活动跟踪器称为久坐行为或检测器(SORD)设备在识别久坐时的准确性,站立,和一群成年参与者的行走行为。
目的:本研究的主要目的是确定SORD相对于直接观察和激活PAL的标准和收敛效度。
方法:共有15名健康成年人在进行活动时在大腿上佩戴SORD和activPAL设备(躺着,斜倚,坐着,站立,走路)。用照相机促进了直接观察。算法是使用Python编程语言开发的。Bland-Altman方法用于评估协议水平。
结果:总体而言,1模子为SORD生成了低水平的偏向和高精度。在这个模型中,准确度,灵敏度,检测坐姿的特异性均高于0.95,斜倚,站立,和走路。Bland-Altman结果表明,坐着和斜躺的SORD和直接观察之间的平均偏差为0.3%(一致性极限[LoA]=-0.3%至0.9%),站立1.19%(LoA=-1.5%至3.42%),步行为-4.71%(LoA=-9.26%至-0.16%)。SORD和activPAL之间的平均偏差为-3.45%(LoA=-11.59%至4.68%),站立7.45%(LoA=-5.04%至19.95%),步行为-5.40%(LoA=-11.44%至0.64%)。
结论:结果表明,SORD是检测坐姿的有效设备,站立,走路,与直接观察相比,其准确性很高。SORD为未来的包容提供了基于理论的承诺,实时,和适应性干预,以鼓励身体活动和减少久坐行为。
BACKGROUND: This study assesses the accuracy of a Bluetooth-enabled prototype activity tracker called the Sedentary behaviOR Detector (SORD) device in identifying sedentary, standing, and walking behaviors in a group of adult participants.
OBJECTIVE: The primary objective of this study was to determine the criterion and convergent validity of SORD against direct observation and activPAL.
METHODS: A total of 15 healthy adults wore SORD and activPAL devices on their thighs while engaging in activities (lying, reclining, sitting, standing, and walking). Direct observation was facilitated with cameras. Algorithms were developed using the Python programming language. The Bland-Altman method was used to assess the level of agreement.
RESULTS: Overall, 1 model generated a low level of bias and high precision for SORD. In this model, accuracy, sensitivity, and specificity were all above 0.95 for detecting sitting, reclining, standing, and walking. Bland-Altman results showed that mean biases between SORD and direct observation were 0.3% for sitting and reclining (limits of agreement [LoA]=-0.3% to 0.9%), 1.19% for standing (LoA=-1.5% to 3.42%), and -4.71% for walking (LoA=-9.26% to -0.16%). The mean biases between SORD and activPAL were -3.45% for sitting and reclining (LoA=-11.59% to 4.68%), 7.45% for standing (LoA=-5.04% to 19.95%), and -5.40% for walking (LoA=-11.44% to 0.64%).
CONCLUSIONS: Results suggest that SORD is a valid device for detecting sitting, standing, and walking, which was demonstrated by excellent accuracy compared to direct observation. SORD offers promise for future inclusion in theory-based, real-time, and adaptive interventions to encourage physical activity and reduce sedentary behavior.