Contextual and environmental factors that influence health: A within-subjects field experiment protocol.

Contextual and environmental factors that influence health: A within-subjects field experiment protocol.
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DOI:
10.3389/fpubh.2023.1019885
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发表时间:
2023
影响因子:
5.2
通讯作者:
Ding, Yizhen
Ding, Yizhen
中科院分区:
医学3区
文献类型:
--
作者:
Li, Dongying;Lee, Chanam;Park, Amaryllis H. H.;Lee, Hanwool;Ding, Yizhen

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尽管对环境-身体活动(PA)关系的研究越来越多,但现场实验研究有限。此类研究提供了关注现实环境暴露以及相关PA和健康结果的机会,使研究人员能够更好地隔离暴露/干预措施的因果影响。将街道/行人环境作为人们日常活动的常规环境,本研究旨在开发和测试一种现场实验方案,该方案集成了对环境、PA和健康结果的即时评估。该协议涉及使用最先进的环境监测和生物传感技术,并侧重于身体活跃的道路使用者(行人和骑自行车的人),他们比其他人(如司机)更直接地暴露于周围环境。一个跨学科研究小组首先确定了健康结果(例如,压力,热舒适,PA)和街道环境暴露(例如,土地使用,绿化,基础设施条件,空气质量,天气)的目标测量领域,这些领域由先前主要是观察性的文献指导。确定便携式或可穿戴测量仪器(如GPS、加速度计、生物传感器、微型相机、智能手机应用程序、气象站、空气质量传感器),进行试点测试,并选择用于确定的测量。我们确保这些措施很容易使用时间戳进行链接,并包括眼睛水平暴露,因为它们更直接地影响用户的体验,而大多数先前的研究依赖于次要的空中水平措施。然后确定了一条50分钟的实验路线,包括公园和混合用途设置的典型日常环境,并让参与者参与三种常见的交通方式(步行,骑自行车和开车)。最后,制定了详细的工作人员协议,进行了试点测试,并在德克萨斯州大学城进行了36名参与者的主题内现场实验。实验成功执行,显示了其支持未来现场实验的潜力,可以提供更准确的实时、真实环境和多维信息。我们的研究表明,通过将实地实验与环境、行为和生理传感相结合,在不同的城市环境中捕捉步行和骑自行车相关的多重健康益处/危害是可行的。我们的研究方案和反思可以为解决环境、行为和健康结果之间复杂的多层次途径的广泛研究提供帮助。
Despite the growing research on environment-physical activity (PA) relationships, field experimental studies are limited. Such studies offer opportunities to focus on real-world environmental exposure and related PA and health outcomes, allowing researchers to better isolate the causal effect of exposures/interventions. Focusing on the street/pedestrian environment as a routine setting for people's daily activities, this research aims to develop and test a field experiment protocol that integrates instantaneous assessments of the environment, PA, and health outcomes. The protocol involves the use of state-of-the-art environmental monitoring and biosensing techniques and focuses on physically active road users (pedestrians and bicyclists) who are more directly exposed to their surrounding environment than others such as drivers. An interdisciplinary research team first identified the target measurement domains for the health outcomes (e.g., stress, thermal comfort, PA) and the street-level environmental exposures (e.g., land use, greenery, infrastructure conditions, air quality, weather) guided by the previous literature which was primarily observational. Portable or wearable measurement instruments (e.g., GPS, accelerometer, biosensor, mini camera, smartphone app, weather station, air quality sensor) were identified, pilot tested, and selected for the identified measures. We ensured that these measures are readily linkable using the time stamp and include eye-level exposures as they impact the users' experiences more directly yet missing in most prior studies relying on secondary, aerial-level measures. A 50-min experimental route was then determined to include typical everyday environments in park and mixed-use settings and to engage participants in three common modes of transportation (walking, bicycling, and driving). Finally, a detailed staff protocol was developed, pilot-tested, and used in a 36-participant within-subject field experiment in College Station, TX. The experiment was successfully executed, showing its potential to support future field experiments that can provide more accurate real-time, real-environment, and multi-dimensional information. Our study demonstrates the feasibility of capturing the multifold health benefits/harms related to walking and bicycling in varying urban environments by combining field experiments with environmental, behavioral, and physiological sensing. Our study protocol and reflections can be helpful for a broad spectrum of research addressing the complex and multi-level pathways between the environment, behavior, and health outcomes.
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