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本文引用的文献

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Non-residential neighborhood exposures suppress neighborhood effects on self-rated health.非居住社区暴露会抑制社区对自评健康的影响。
Soc Sci Med. 2007 Oct;65(8):1779-91. doi: 10.1016/j.socscimed.2007.05.051. Epub 2007 Jul 5.
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Doubly robust estimation in missing data and causal inference models.缺失数据与因果推断模型中的双重稳健估计
Biometrics. 2005 Dec;61(4):962-73. doi: 10.1111/j.1541-0420.2005.00377.x.
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Propensity score estimation with boosted regression for evaluating causal effects in observational studies.使用增强回归进行倾向评分估计以评估观察性研究中的因果效应。
Psychol Methods. 2004 Dec;9(4):403-25. doi: 10.1037/1082-989X.9.4.403.
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The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology.邻里效应的(误)估计:可行社会流行病学的因果推断
Soc Sci Med. 2004 May;58(10):1929-52. doi: 10.1016/j.socscimed.2003.08.004.
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Place effects on health: how can we conceptualise, operationalise and measure them?环境对健康的影响:我们如何对其进行概念化、操作化和测量?
Soc Sci Med. 2002 Jul;55(1):125-39. doi: 10.1016/s0277-9536(01)00214-3.
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Longitudinal study of associations between perceived health status and self reported diseases in the French Gazel cohort.法国 Gazel 队列中感知健康状况与自我报告疾病之间关联的纵向研究。
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Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review.邻里社会经济环境与健康结果的多层次分析:一项批判性综述。
J Epidemiol Community Health. 2001 Feb;55(2):111-22. doi: 10.1136/jech.55.2.111.
8
Neighborhood socioeconomic context and adult health. The mediating role of individual health behaviors and psychosocial factors.邻里社会经济环境与成年人健康。个体健康行为和心理社会因素的中介作用。
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The social environment and health: a discussion of the epidemiologic literature.社会环境与健康:流行病学文献探讨
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10
Higher prevalence of mental disorders in socioeconomically deprived urban areas in The Netherlands: community or personal disadvantage?荷兰社会经济贫困城市地区精神障碍患病率较高:社区劣势还是个人劣势?
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邻里贫困与健康之间的联系:背景还是构成因素?

The link between neighborhood poverty and health: context or composition?

作者信息

Do D Phuong, Finch Brian Karl

机构信息

Institute for Social Research, School of Public Health, University of Michigan, Ann Arbor, MI 48109-2029, USA.

出版信息

Am J Epidemiol. 2008 Sep 15;168(6):611-9. doi: 10.1093/aje/kwn182. Epub 2008 Aug 6.

DOI:10.1093/aje/kwn182
PMID:18687664
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2584357/
Abstract

Cross-sectional studies of neighborhood context and health are subject to upward bias due to unobserved heterogeneity and to downward bias due to overadjustment for potential mediators in the pathway between neighborhood context and health. In this study, the authors employed two strategies that addressed these two sources of bias. First, to mitigate overadjustment of mediators, they adjusted for baseline characteristics observed just prior to the measurement of neighborhood context, using a combined propensity score and regression strategy. Second, to mitigate underadjustment of unmeasured confounders, they employed a fixed-effects modeling strategy to account for unobserved non-time-varying heterogeneity. Analyses were based on a nationally representative sample of the nonimmigrant US population from the Panel Study of Income Dynamics (1980-1997) in which respondent-rated health was regressed on neighborhood poverty. The samples consisted of approximately 6,000 respondents for the propensity score/regression models and 45,000 person-years for the fixed-effects models. Both modeling strategies yielded significant estimates of neighborhood poverty and supported a causal link between neighborhood context and health.

摘要

邻里环境与健康的横断面研究由于未观察到的异质性而存在向上偏差,并且由于对邻里环境与健康之间路径中的潜在中介因素过度调整而存在向下偏差。在本研究中,作者采用了两种策略来解决这两种偏差来源。首先,为了减轻中介因素的过度调整,他们使用倾向得分和回归相结合的策略,对在测量邻里环境之前观察到的基线特征进行调整。其次,为了减轻未测量混杂因素的调整不足,他们采用固定效应建模策略来考虑未观察到的非时变异质性。分析基于收入动态面板研究(1980 - 1997年)中具有全国代表性的美国非移民人口样本,其中将受访者自评健康状况对邻里贫困程度进行回归分析。倾向得分/回归模型的样本约有6000名受访者,固定效应模型的样本有45000人年。两种建模策略都得出了邻里贫困的显著估计值,并支持了邻里环境与健康之间的因果关系。