Establishing best practices for the use of accelerometer measured ambient light sensor data to assess children's outdoor time

建立使用加速度计测量的环境光传感器数据来评估儿童的户外时间的最佳实践

• 批准号: 10731315
• 负责人: Cody Neshteruk
• 金额: $ 13.47万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10731315
• 关键词: Accelerometer; Accounting; Affect; Caregivers; Child; Child Care; Cognitive; Data; Data Analyses; Data Set; Databases; Disparity; Environment; Exposure to; Funding; Guidelines; Health; Health Benefit; Hip region structure; Individual; Intervention; Intervention Trial; Kentucky; Light; Link; Measurement; Measures; Methods; National Heart, Lung, and Blood Institute; Nature; Outcome; Physical activity; Policies; Preschool Child; Psyche structure; ROC Curve; Receiver Operating Characteristics; Regulation; Reporting; Research; Research Activity; Research Personnel; Seasons; Source Code; Sunlight; Testing; Time; Validation; Visual; Weather; Wrist; Youth; access disparities; behavioral health; child day care; data repository; improved; meteorological data; open source; sensor; sensor technology; time use; tool; wrist worn device

ABSTRACT Spending time outdoors increases children’s physical activity and promotes engagement with nature, which has been shown to have positive benefits on children’s mental, cognitive, and behavioral health. However, outdoor time is difficult to quantify, with most studies relying on self- or caregiver-reported outdoor time. One solution is to use accelerometers equipped with ambient light sensor technology. The light sensor delivers an estimate of light exposure (i.e., lux values) that can be used to objectively quantify children’s outdoor time. Despite the ubiquitous use of accelerometers, most researchers have not taken advantage of this tool. Of the studies that have used ambient light data, analytic approaches have varied. Specifically, studies have used different lux cut points to distinguish between indoor and outdoor time, and have not considered placement of the accelerometer (i.e., hip vs. wrist worn) or the potential error due to seasonality or weather conditions. Therefore, the objective of this project is to develop and disseminate a set of best practices for analyzing accelerometer-derived ambient light data in order to provide an objective assessment of outdoor time in children. The proposed project will analyze secondary data from two NHLBI funded intervention trials targeting physical activity promotion in the child care setting. Both trials included accelerometer data with the ambient light sensor enabled as well as data from the Environment and Policy Assessment and Observation (EPAO) tool, an observational measure that contains detailed time stamped data of the child care day including indoor and outdoor time. In Aim 1, accelerometer data will be harmonized to facilitate comparisons between hip- and wrist-worn devices and then combined with the corresponding EPAO data. In Aim 2, receiver operator characteristic curve analysis will be used to identify the optimal lux cut point to distinguish between indoor and outdoor time, comparing accelerometer lux values to the documented indoor and outdoor time from the EPAO. Then, we will compare how well the identified lux cut point performs in distinguishing outdoor time in wrist vs. hip worn accelerometers. Finally, we will compare how seasonality and different weather conditions (i.e., cloudy vs. clear days) affect lux readings. In Aim 3, we will examine the association between objectively measured outdoor time and children’s physical activity while at child care using the newly developed analytic guidelines. In order to promote consistency in the field, we will disseminate the best practices by developing open source code for other researchers that can be applied to existing datasets and repositories of accelerometer data. Overall, this project will address key measurement gaps in assessing young children’s physical activity and outdoor time. Improving measurement of outdoor time will further add to research into the health impact of spending time outdoors, aid in the identification of disparities regarding access to the outdoors, and provide support for policies and regulations promoting youth outdoor time.

抽象的 在户外度过时光会增加儿童的体育锻炼，并促进与自然的互动，这 已显示对儿童的心理，认知和行为健康有积极的好处。然而， 室外时间很难量化，大多数研究都依赖于自我或照顾者报告的户外时间。一 解决方案是使用配备环境光传感器技术的加速度计。光传感器提供 可用于客观地量化儿童室外时间的光曝光（即lux值）的估计。 尽管无处不在使用加速度计，但大多数研究人员却没有利用此工具。的 使用环境光数据，分析方法的研究各不相同。具体而言，研究使用了 不同的lux切点要区分室内和室外时间，并且没有考虑放置 加速度计（即髋关节与手腕崇拜）或由于季节性或天气状况而导致的潜在错误。 因此，该项目的目的是开发和传播一组最佳实践以进行分析 加速度计衍生的环境光数据，以提供对室外时间的客观评估 孩子们。拟议的项目将分析来自两个NHLBI资助的干预试验的辅助数据 在儿童保育环境中促进体育锻炼。这两个试验都包括具有环境的加速度计数据 启用光传感器以及来自环境以及政策评估与观察的数据（EPAO） 工具，一种观察措施，包含托儿日的详细时间盖章数据，包括室内 和户外时间。在AIM 1中，加速度计数据将被统一以促进髋关节和髋关节的比较 腕部磨损的设备，然后与相应的EPAO数据结合使用。在AIM 2中，接收器操作员 特征曲线分析将用于确定最佳lux切口点，以区分室内和 室外时间，将加速度计lux值与EPAO的室内和室外时间进行比较。 然后，我们将比较确定的Lux切点在区分手腕VS的户外时间方面的表现。 髋关节磨损的加速度计。最后，我们将比较季节性和不同天气状况（即 多云与晴天）影响勒克斯读数。在AIM 3中，我们将客观地检查 使用新开发的分析，在儿童保育时测量了户外时间和儿童的体育锻炼 指南。为了促进该领域的一致性，我们将通过发展来传播最佳实践 其他研究人员的开源代码可以应用于现有数据集和存储库 加速度计数据。总体而言，该项目将解决评估幼儿的关键测量差距 体育锻炼和室外时间。改善室外时间的测量将进一步增加研究 在户外花费时间的健康影响，帮助识别有关进入的差异 在户外，并为促进青年户外时间的政策和法规提供支持。