Objective To determine the accuracy of wrist and arm-worn activity monitors’ estimates of energy expenditure (EE). Data sources SportDISCUS (EBSCOHost), PubMed, MEDLINE (Ovid), PsycINFO (EBSCOHost), Embase (Ovid) and CINAHL (EBSCOHost). Design A random effects meta-analysis was performed to evaluate the difference in EE estimates between activity monitors and criterion measurements. Moderator analyses were conducted to determine the benefit of additional sensors and to compare the accuracy of devices used for research purposes with commercially available devices. Eligibility criteria We included studies validating EE estimates from wrist-worn or arm-worn activity monitors against criterion measures (indirect calorimetry, room calorimeters and doubly labelled water) in healthy adult populations. Results 60 studies (104 effect sizes) were included in the meta-analysis. Devices showed variable accuracy depending on activity type. Large and significant heterogeneity was observed for many devices (I2 >75%). Combining heart rate or heat sensing technology with accelerometry decreased the error in most activity types. Research-grade devices were statistically more accurate for comparisons of total EE but less accurate than commercial devices during ambulatory activity and sedentary tasks. Conclusions EE estimates from wrist and arm-worn devices differ in accuracy depending on activity type. Addition of physiological sensors improves estimates of EE, and research-grade devices are superior for total EE. These data highlight the need to improve estimates of EE from wearable devices, and one way this can be achieved is with the addition of heart rate to accelerometry. PROSPEROregistration number CRD42018085016.

中文翻译：

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活动监测器估计能量消耗的程度如何？对当前技术有效性的系统评价和荟萃分析

目的 确定手腕和臂戴式活动监测器估计能量消耗 (EE) 的准确性。数据源 SportDISCUS (EBSCOHost)、PubMed、MEDLINE (Ovid)、PsycINFO (EBSCOHost)、Embase (Ovid) 和 CINAHL (EBSCOHost)。设计 进行随机效应荟萃分析以评估活动监测器和标准测量之间 EE 估计值的差异。进行了调节分析以确定额外传感器的好处，并将用于研究目的的设备与市售设备的准确性进行比较。资格标准 我们纳入的研究验证了腕戴或臂戴活动监测器对健康成人人群的标准测量（间接量热法、室内量热计和双标水）的 EE 估计值。结果 60 项研究（104 个效应量）被纳入荟萃分析。根据活动类型，设备显示出可变的准确性。对于许多设备（I2 >75%），观察到了大而显着的异质性。将心率或热传感技术与加速度计相结合可减少大多数活动类型的误差。研究级设备在比较总 EE 方面在统计上更准确，但在动态活动和久坐任务期间不如商业设备准确。结论 手腕和臂戴设备的 EE 估计值因活动类型而异。添加生理传感器可以提高对 EE 的估计，研究级设备在总 EE 方面更胜一筹。这些数据强调需要改进可穿戴设备对 EE 的估计，实现这一目标的一种方法是在加速度计中增加心率。PROSPERO注册号CRD42018085016。