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评估儿童期邻里环境条件对神经发育障碍的影响。

Assessing the Impact of Neighborhood Conditions on Neurodevelopmental Disorders during Childhood.

机构信息

School of Social Work, College of Social Science, Michigan State University, East Lansing, MI 48824, USA.

Center for Health Care Research and Policy, Case Western Reserve University, Cleveland, OH 44106, USA.

出版信息

Int J Environ Res Public Health. 2021 Aug 27;18(17):9041. doi: 10.3390/ijerph18179041.

Abstract

Nearly three out of ten neurodevelopmental disabilities in the United States have been linked to environmental conditions, prompting emerging lines of research examining the role of the neighborhood on children's developmental outcomes. Utilizing data from a natural experiment in Denver, this study quantifies the impact of exposure to varied neighborhood contexts on the diagnosis of neurodevelopmental disorders over the course of childhood. Our analysis is based upon retrospective child, caregiver, household and neighborhood data derived from the for a sample of approximately 590 Latino and African American children and youth whose families were quasi-randomly assigned to subsidized housing operated by the Denver (CO) Housing Authority during part of their childhood. We employed binary response models with endogenous explanatory variables, estimated using instrumental variables (IV) probit and average marginal effects to identify predictors of a neurodevelopmental disorder diagnosis during childhood. We found that multiple dimensions of neighborhood context-especially neighborhood socioeconomic status, older housing stock, residential instability and prevalence of neurological hazards in the ambient air-strongly and robustly predicted the diagnosis of a neurodevelopmental disorder during childhood.

摘要

美国近十分之三的神经发育障碍与环境条件有关,这促使人们开展了一些新的研究,旨在探讨邻里环境对儿童发展结果的影响。本研究利用丹佛市的一项自然实验数据,量化了儿童在整个童年时期接触不同邻里环境对神经发育障碍诊断的影响。我们的分析基于从 中获得的回溯性儿童、照顾者、家庭和邻里数据,该数据来自大约 590 名拉丁裔和非裔美国儿童和青少年的样本,他们的家庭在童年的一部分时间里被随机分配到丹佛(科罗拉多州)住房管理局运营的补贴住房中。我们使用具有内生解释变量的二元响应模型,使用工具变量(IV)概率和平均边际效应进行估计,以确定儿童时期神经发育障碍诊断的预测因素。我们发现,邻里环境的多个维度——特别是邻里的社会经济地位、较旧的住房存量、居住不稳定以及环境空气中神经危害的流行——强烈而稳健地预测了儿童时期神经发育障碍的诊断。

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