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重新审视个体缺血性心脏病风险的因果邻近效应:基于瑞典同胞的准实验性多层次分析。

Revisiting causal neighborhood effects on individual ischemic heart disease risk: a quasi-experimental multilevel analysis among Swedish siblings.

机构信息

Faculty of Medicine, Lund University, Skåne University Hospital, Jan Waldenströms Street 35, 20502 Malmö, Sweden.

出版信息

Soc Sci Med. 2013 Jan;76(1):39-46. doi: 10.1016/j.socscimed.2012.08.034. Epub 2012 Oct 24.

Abstract

Neighborhood socioeconomic disadvantage is associated to increased individual risk of ischemic heart disease (IHD). However, the value of this association for causal inference is uncertain. Moreover, neighborhoods are often defined by available administrative boundaries without evaluating in which degree these boundaries embrace a relevant socio-geographical context that condition individual differences in IHD risk. Therefore, we performed an analysis of variance, and also compared the associations obtained by conventional multilevel analyses and by quasi-experimental family-based design that provides stronger evidence for causal inference. Linking the Swedish Multi-Generation Register to several other national registers, we analyzed 184,931 families embracing 415,540 full brothers 45-64 years old in 2004, and residing in 8408 small-area market statistics (SAMS) considered as "neighborhoods" in our study. We investigated the association between low neighborhood income (categorized in groups by deciles) and IHD risk in the next four years. We distinguished between family mean and intrafamilial-centered low neighborhood income, which allowed us to investigate both unrelated individuals from different families and full brothers within families. We applied multilevel logistic regression techniques to obtain odds ratios (OR), variance partition coefficients (VPC) and 95% credible intervals (CI). In unrelated individuals a decile unit increase of low neighborhood income increased individual IHD risk (OR = 1.04, 95% CI: 1.03-1.07). In the intrafamilial analysis this association was reduced (OR = 1.02, 95% CI: 1.02-1.04). Low neighborhood income seems associated with IHD risk in middle-aged men. However, despite the family-based design, we cannot exclude residual confounding by genetic and non-shared environmental factors. Besides, the low neighborhood level VPC = 1.5% suggest that the SAMS are a rather inappropriate construct of the socio-geographic context that conditions individual variance in IHD risk. In contrast the high family level VPC = 20.1% confirms the relevance of the family context for understanding IHD risk.

摘要

社区社会经济劣势与个体患缺血性心脏病(IHD)的风险增加有关。然而,这种关联对于因果推断的价值尚不确定。此外,社区通常是根据可用的行政边界来定义的,而没有评估这些边界在多大程度上包含了一个相关的社会地理背景,从而影响个体患 IHD 风险的差异。因此,我们进行了方差分析,并比较了传统的多层次分析和准实验性基于家庭的设计所得到的关联,后者为因果推断提供了更强有力的证据。我们将瑞典多代登记处与其他几个国家的登记处相联系,分析了 2004 年 45-64 岁的 184931 个家庭,这些家庭共包含 415540 个全兄弟,他们居住在我们研究中视为“社区”的 8408 个小区域市场统计区(SAMS)中。我们调查了未来四年内低社区收入(按十分位数分类)与 IHD 风险之间的关联。我们区分了家庭平均收入和家庭内中心的低社区收入,这使我们能够同时研究来自不同家庭的无关个体和家庭内的全兄弟。我们应用多层次逻辑回归技术获得优势比(OR)、方差分配系数(VPC)和 95%可信区间(CI)。在无关个体中,低社区收入增加一个十分位数单位会增加个体患 IHD 的风险(OR=1.04,95%CI:1.03-1.07)。在家庭内分析中,这种关联减弱(OR=1.02,95%CI:1.02-1.04)。低社区收入似乎与中年男性的 IHD 风险有关。然而,尽管采用了基于家庭的设计,我们仍不能排除遗传和非共享环境因素造成的残余混杂。此外,低社区水平的 VPC=1.5%表明,SAMS 是一个相当不合适的社会地理背景构建,它会影响个体患 IHD 风险的差异。相比之下,高家庭水平的 VPC=20.1%证实了家庭背景对于理解 IHD 风险的重要性。

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