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.

摘要 花时间在户外可以增加孩子的身体活动，促进与大自然的接触， 已被证明对儿童的心理、认知和行为健康有积极益处。然而，在这方面， 户外时间很难量化，大多数研究依赖于自我或他人报告的户外时间。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 曝光的估计（即，勒克斯值），可以用来客观地量化儿童的户外时间。 尽管加速度计的使用无处不在，但大多数研究人员还没有利用这一工具。的 虽然使用了环境光数据的研究，但分析方法各不相同。具体而言，研究使用了 不同的勒克斯切割点，以区分室内和室外的时间，并没有考虑放置 加速度计（即，髋关节与手腕佩戴）或由于季节性或天气条件的潜在误差。 因此，本项目的目标是制定和传播一套最佳做法， 加速计导出的环境光数据，以便提供对室外时间的客观评估， 孩子拟议的项目将分析来自两个NHLBI资助的干预试验的二级数据， 在儿童保育环境中促进身体活动。这两项试验都包括加速度计数据与环境 启用光传感器以及来自环境和政策评估与观察（EPAO）的数据 工具，这是一种观察措施，包含详细的时间戳数据的儿童保育日，包括室内 户外时间在目标1中，将协调加速计数据，以便于髋关节和 然后与相应的EPAO数据相结合。在目标2中，接收操作员 特性曲线分析将被用来确定最佳的勒克斯切割点，以区分室内和 室外时间，将加速计勒克斯值与EPAO记录的室内和室外时间进行比较。 然后，我们将比较识别的勒克斯临界点在区分手腕与手腕的户外时间方面的表现。 臀部佩戴的加速计。最后，我们将比较季节性和不同天气条件（即， 阴天与晴天）影响勒克斯读数。在目标3中，我们将客观地研究 测量户外时间和儿童的身体活动，而在儿童保育使用新开发的分析 指南为了促进这一领域的一致性，我们将通过制定 为其他研究人员开放源代码，可应用于现有的数据集和存储库， 加速度计数据。总的来说，该项目将解决评估幼儿健康状况的关键测量差距， 体力活动和户外时间。改善户外时间的测量将进一步增加对 户外活动对健康的影响，帮助确定在获得 户外，并为促进青少年户外时间的政策和法规提供支持。