The influence of neighborhood environment on the incidence of childhood asthma: a propensity score approach.

The influence of neighborhood environment on the incidence of childhood asthma: a propensity score approach.
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DOI:
10.1016/j.jaci.2009.12.998
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发表时间:
2010-04
影响因子:
14.2
通讯作者:
Vargas-Chanes, Delfino
Vargas-Chanes, Delfino
中科院分区:
医学1区
文献类型:
--
作者:
Juhn, Young J.;Qin, Rui;Urm, Sanghwa;Katusic, Slavica;Vargas-Chanes, Delfino

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倾向评分法在哮喘流行病学研究中的应用较少,但在观察性研究中,倾向评分法有助于解决协变量失衡问题。目的:应用倾向评分法探讨社区环境对哮喘发病的影响。本研究设计为回顾性队列研究。研究对象均为1976年至1979年出生于明尼苏达州罗切斯特的儿童。哮喘状态先前通过应用预先确定的标准确定。我们采用倾向得分法来匹配那些居住在人口普查区的儿童,他们面临或不面临主要公路或铁路的交叉口。生活在人口普查区面临交叉口的儿童的倾向得分是从逻辑回归模型中制定的,该模型具有16个变量,这些变量在比较组之间可能不平衡。在匹配的样本中使用考克斯比例风险模型来估计邻近环境和其他感兴趣的变量的风险比及其相应的95%CI。在与倾向分数匹配后,我们发现,与居住在不面对主要公路或铁路交叉口的人口普查区的儿童相比,居住在面对主要公路或铁路交叉口的人口普查区的儿童患哮喘的风险更高(风险比为1.385-1.669,取决于匹配方法)。邻里环境可能是了解儿童哮喘发展的一个重要危险因素。在哮喘流行病学研究中,倾向评分法是解决协变量失衡和探索因果关系的有效工具。
The propensity score method has been underused in research concerning asthma epidemiology, which is useful for addressing covariate imbalance in observational studies. Objective: To examine the impact of neighborhood environment on asthma incidence by applying the propensity score method. The study was designed as a retrospective cohort study. Study subjects were all children born in Rochester, Minn, between 1976 and 1979. Asthma status was previously determined by applying predetermined criteria. We applied the propensity score method to match children who lived in census tracts facing or not facing intersections with major highways or railroads. The propensity score of children living in a census tract facing intersections was formulated from a logistic regression model with 16 variables that may not be balanced between comparison groups. The Cox proportional hazard models were used in the matched samples to estimate hazard ratios of neighborhood environment and some other variables of interest and their corresponding 95% CIs. After matching with propensity scores, we found that children who lived in census tracts facing intersections with major highways or railroads had a higher risk of asthma (hazard ratios, 1.385–1.669 depending on the matching methods) compared with the matched counterparts who lived in census tracts not facing intersections with major highways or railroads. Neighborhood environment may be an important risk factor in understanding the development of pediatric asthma. The propensity score method is a useful tool in addressing covariate imbalance and exploring for causal effect in studying asthma epidemiology.
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