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在纵向流行病学研究中,居住流动性会影响暴露评估和社区社会经济特征。

Residential mobility impacts exposure assessment and community socioeconomic characteristics in longitudinal epidemiology studies.

作者信息

Brokamp Cole, LeMasters Grace K, Ryan Patrick H

机构信息

Department of Environmental Health, University of Cincinnati, Cincinnati, Ohio, USA.

Division of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.

出版信息

J Expo Sci Environ Epidemiol. 2016 Jun;26(4):428-34. doi: 10.1038/jes.2016.10. Epub 2016 Mar 9.

Abstract

Epidemiologic studies commonly use residential locations to estimate environmental exposures or community-level characteristics. The impact of residential mobility on these characteristics, however, is rarely considered. The objective of this analysis was to examine the effect of residential mobility on estimates of traffic-related air pollution (TRAP), greenspace, and community-level characteristics. All residential addresses were reported from birth through age seven for children enrolled in the Cincinnati Childhood Allergy and Air Pollution Study. Exposure to TRAP at each address was estimated using a land use model. Greenspace was estimated using satellite imagery. Indices of neighborhood deprivation and race were created based on socioeconomic-census tract measures. Exposure estimates using the birth record address, the last known address, and the annual address history were used to determine exposure estimation error and bias in the association with asthma at age seven. Overall, 54% of the cohort moved at least once prior to age seven. Each move was separated by a median of 4 miles and associated with a median decrease of 4.4% in TRAP exposure, a 5.3% increase in greenspace, an improved deprivation index, and no change in the race index. Using the birth record address or the last known address instead of the annual address history resulted in exposure misclassification leading to a bias toward the null when associating the exposures with asthma. Using a single address to estimate environmental exposures and community-level characteristics over a time period may result in differential assessment error.

摘要

流行病学研究通常使用居住地点来估计环境暴露或社区层面的特征。然而,居住流动性对这些特征的影响很少被考虑。本分析的目的是研究居住流动性对交通相关空气污染(TRAP)、绿地以及社区层面特征估计的影响。对于参加辛辛那提儿童过敏与空气污染研究的儿童,报告了他们从出生到七岁期间的所有居住地址。使用土地利用模型估计每个地址的TRAP暴露。使用卫星图像估计绿地面积。基于社会经济普查区的测量数据创建邻里贫困和种族指数。使用出生记录地址、最后已知地址和年度地址历史的暴露估计来确定七岁时与哮喘关联的暴露估计误差和偏差。总体而言,54%的队列在七岁之前至少搬过一次家。每次搬家的距离中位数为4英里,与TRAP暴露中位数下降4.4%、绿地面积增加5.3%、贫困指数改善以及种族指数无变化相关。使用出生记录地址或最后已知地址而非年度地址历史会导致暴露分类错误,在将暴露与哮喘关联时导致向零值的偏差。在一段时间内使用单一地址来估计环境暴露和社区层面特征可能会导致差异评估误差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46bb/4913165/831db7495439/jes201610f1.jpg

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