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利用普查区死亡率和社会阶层混合情况对心脏病死亡率进行建模。

Modeling heart disease mortality with census tract rates and social class mixtures.

作者信息

Logue E E, Jarjoura D

机构信息

Division of Community Health Sciences, Northeastern Ohio Universities College of Medicine, Rootstown 44272.

出版信息

Soc Sci Med. 1990;31(5):545-50. doi: 10.1016/0277-9536(90)90089-b.

DOI:10.1016/0277-9536(90)90089-b
PMID:2218636
Abstract

The relationship between social class and 1980 heart disease (HD) mortality in eight urban U.S. counties was examined by regressing age and sex adjusted census tract specific HD rates (N = 1211) on tract social class characteristics. The regression model indicated that lower middle class residents experienced a HD mortality rate 1.9 (95% CI = 1.3, 2.8) times the rate in the upper middle/middle class, while the working poor experienced a HD rate 4.4 (95% CI = 3.5, 5.7) times the rate in the referent class. Similar class effects were seen for both black and nonblack residents. The crude race effect (1.3 with 95% CI = 1.2, 1.4) was explainable by the concentration of blacks in the lower classes. The methods illustrate the ecologic regression of mixtures of mortality rates on mixtures of exposure in the presence of random tract effects which eliminates some of the problems associated with small denominators or zero rates in some tracts.

摘要

通过对年龄和性别调整后的人口普查区特定心脏病(HD)死亡率(N = 1211)与各普查区社会阶层特征进行回归分析,研究了美国八个城市县的社会阶层与1980年心脏病死亡率之间的关系。回归模型表明,中下层居民的心脏病死亡率是中上层/中层居民的1.9倍(95%置信区间 = 1.3, 2.8),而贫困劳动者的心脏病死亡率是参照阶层的4.4倍(95%置信区间 = 3.5, 5.7)。黑人和非黑人居民都出现了类似的阶层效应。粗略的种族效应(1.3,95%置信区间 = 1.2, 1.4)可通过黑人集中在较低阶层来解释。这些方法说明了在存在随机普查区效应的情况下,死亡率混合数据对暴露混合数据的生态回归,这消除了一些与某些普查区小分母或零死亡率相关的问题。

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