Morrison Mackenzie, Adisa Jemima, Trimiar Olivia, Norfleet John, Basner Mathias, Cordoza Makayla L
School of Nursing, Vanderbilt University, Nashville, TN, USA.
Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Biol Res Nurs. 2025 Oct;27(4):640-651. doi: 10.1177/10998004251337065. Epub 2025 Apr 22.
Use of wearables, which can be considered as devices worn on the body that capture dimensions of health, are common in research. Wearables are useful as they can be employed in a number of environments for a variety of populations and can record over short or long time periods. Recent advancements in technology have significantly improved the accuracy of sensors and the algorithms used to interpret their data. Commercial wearables, such as fitness trackers, smartwatches, and smart rings have seen parallel advancements. Perhaps the most common application of wearables in research is for the assessment of sleep and rest-activity rhythms as most wearables include accelerometers, a sensor commonly used to infer sleep and activity from movement patterns. Commercial wearables are appealing for use in research due to their widespread use in the general population, real-time data syncing capabilities, affordability, and their user-friendly, consumer-oriented design and interfaces. There are, however, several important factors to consider when selecting a commercial wearable for use in research. These include device specifications (durability, price, unique features, etc.), data accessibility, and participant factors. Keeping these considerations in mind can assist in the collection of high-quality data that can ultimately be used to improve population outcomes. The purpose of this methodological review is to describe considerations for the use of commercially available wearables in research for the purposes of assessing sleep and rest-activity patterns.
可穿戴设备可被视为佩戴在身体上用于获取健康维度信息的设备,在研究中很常见。可穿戴设备很有用,因为它们可以在多种环境中用于不同人群,并且可以在短时间或长时间内进行记录。最近的技术进步显著提高了传感器以及用于解读其数据的算法的准确性。商业可穿戴设备,如健身追踪器、智能手表和智能戒指也有了类似的进步。可穿戴设备在研究中最常见的应用可能是评估睡眠和休息 - 活动节律,因为大多数可穿戴设备都包括加速度计,这是一种通常用于从运动模式推断睡眠和活动的传感器。商业可穿戴设备因其在普通人群中的广泛使用、实时数据同步功能、可承受性以及用户友好、以消费者为导向的设计和界面而吸引了研究领域的应用。然而,在选择用于研究的商业可穿戴设备时,有几个重要因素需要考虑。这些因素包括设备规格(耐用性、价格、独特功能等)、数据可获取性和参与者因素。牢记这些考虑因素有助于收集高质量的数据,最终可用于改善人群健康状况。本方法学综述的目的是描述在研究中使用商业可穿戴设备以评估睡眠和休息 - 活动模式时的注意事项。