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基于地理区域的社会劣势误分类:邮政编码与收集区分析的比较

Misclassification of social disadvantage based on geographical areas: comparison of postcode and collector's district analyses.

作者信息

Hyndman J C, Holman C D, Hockey R L, Donovan R J, Corti B, Rivera J

机构信息

Department of Public Health, University of Western Australia, Nedlands.

出版信息

Int J Epidemiol. 1995 Feb;24(1):165-76. doi: 10.1093/ije/24.1.165.

Abstract

BACKGROUND

Analysis of socioeconomic status (SES), defined on the basis of geographical area, will always be subject to misclassification of individuals. We studied the relationship between SES and selected health-related measures when SES was defined firstly on the basis of postcode and secondly on the basis of the smaller spatial area of collector's district (CD).

METHOD

A Census population of 1.4 million was used to investigate the misclassification of individuals to SES group using postcode as opposed to CD. A field survey of 1000 respondents and a mortality register of 1756 deaths were used to compare the relationship between SES and certain outcome variables, when SES group was assigned using postcode and CD. Misclassification probability matrices were used to try to adjust the postcode-based results to approximate CD-based results.

RESULTS

The Census data showed that nearly 50% of residents were misclassified into SES groups by the postcode-based system compared with a CD-based system. In comparing the most socially disadvantaged group with the least disadvantaged group, the postcode analysis underestimated the absolute effects of SES by 58% for the increased prevalence of smoking, by 19% for the reduced prevalence of participation in junior sporting clubs and by 13% for the increased mortality rate at ages 0-64 years. Adjustment of postcode-based results using misclassification matrices proved fruitless due to differential misclassification and technical difficulties.

CONCLUSIONS

Misclassification of individuals to SES groups on the basis of postcode has caused an underestimation of the true relationship between SES and health-related measures. A reduction of this misclassification by using smaller spatial areas, such as CD or census enumeration districts, will provide improved validity in estimating the true relationship.

摘要

背景

基于地理区域定义的社会经济地位(SES)分析,始终会存在个体分类错误的情况。我们研究了在首先根据邮政编码、其次根据较小的收集区(CD)空间区域定义SES时,SES与选定的健康相关指标之间的关系。

方法

使用140万人口普查数据来调查与使用CD相比,根据邮政编码将个体错误分类到SES组的情况。当使用邮政编码和CD分配SES组时,对1000名受访者进行的实地调查和1756例死亡的死亡率登记用于比较SES与某些结果变量之间的关系。使用错误分类概率矩阵试图调整基于邮政编码的结果,以近似基于CD的结果。

结果

人口普查数据显示,与基于CD的系统相比,基于邮政编码的系统将近50%的居民错误分类到SES组。在比较社会经济地位最不利的群体与最有利的群体时,邮政编码分析低估了SES的绝对影响,吸烟患病率增加方面低估了58%,青少年体育俱乐部参与率降低方面低估了19%,0至64岁死亡率增加方面低估了13%。由于分类错误的差异和技术困难,使用错误分类矩阵调整基于邮政编码的结果毫无成效。

结论

基于邮政编码将个体错误分类到SES组导致低估了SES与健康相关指标之间的真实关系。通过使用更小的空间区域(如CD或人口普查枚举区)减少这种错误分类,将提高估计真实关系的有效性。

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