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首页> 外文期刊>Journal of exposure science & environmental epidemiology >Integrating data from multiple time-location measurement methods for use in exposure assessment: the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air)
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Integrating data from multiple time-location measurement methods for use in exposure assessment: the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air)

机译:从多个时位置测量方法中集成数据以供曝光评估:动脉粥样硬化和空气污染的多民族研究(MESA AIR)

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摘要

Tools to assess time-location patterns related to environmental exposures have expanded from reliance on time-location diaries (TLDs) and questionnaires to use of geospatial location devices such as data-logging Global Positioning System (GPS) equipment. The Multi-Ethnic Study of Atherosclerosis and Air Pollution obtained typical time-location patterns via questionnaire for 6424 adults in six US cities. At a later time (mean 4.6 years after questionnaire), a subset (n = 128) participated in high-resolution data collection for specific 2-week periods resulting in concurrent GPS and detailed TLD data, which were aggregated to estimate time spent in various microenvironments. During these 2-week periods, participants were observed to spend the most time at home indoors (mean of 78%) and a small proportion of time in-vehicle (mean of 4%). Similar overall patterns were reported by these participants on the prior questionnaire (mean home indoors: 75%; mean in-vehicle: 4%). However, individual micro-environmental time estimates measured over specific 2-week periods were not highly correlated with an individual's questionnaire report of typical behavior (Spearman's. of 0.43 for home indoors and 0.39 for in-vehicle). Although questionnaire data about typical time-location patterns can inform interpretation of long-term epidemiological analyses and risk assessment, they may not reliably represent an individual's short-term experience.
机译:评估与环境暴露有关的时间位置模式的工具已经从依赖于时代日记(TLD)和问卷来扩展到使用地理空间位置设备,例如数据记录全球定位系统(GPS)设备。动脉粥样硬化和空气污染的多民族研究通过六个美国城市的6424名成人调查问卷获得了典型的时间位置模式。在稍后的时间(调查问卷后平均值4.6岁),子集(n = 128)参与了高分辨率数据收集,以获得特定的2周周期,导致并发GPS和详细的TLD数据,这些数据被聚集以估计各种所花费的时间微环境。在这两周的时间内,观察到参与者在室内度过最多的时间(平均值为78%)和车载车内的一小部分(平均值为4%)。这些参与者在先前的调查问卷(平均家庭室内:75%;平均车载:4%),这些参与者报告了类似的整体模式。然而,在特定的2周期间测量的单个微环境时间估计与个人的问卷报告没有高度相关的典型行为(Spearman的报告。室内家庭的0.43个,车内0.39)。虽然关于典型时间定位模式的调查数据可以信息解释长期流行病学分析和风险评估,但它们可能无法可靠地代表个人的短期经验。

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