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居住区域的社会经济特征与死亡风险:分析中空间单元的差异是否是观察到的关联存在异质性的一个来源?

Socioeconomic characteristics of residential areas and risk of death: is variation in spatial units for analysis a source of heterogeneity in observed associations?

机构信息

Finnish Institute of Occupational Health, Kuopio, Finland.

出版信息

BMJ Open. 2013 Apr 3;3(4). doi: 10.1136/bmjopen-2012-002474. Print 2013.

DOI:10.1136/bmjopen-2012-002474
PMID:23558735
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3641478/
Abstract

OBJECTIVES

Evidence on the association between the adverse socioeconomic characteristics of residential area and mortality is mixed. We examined whether the choice of spatial unit is critical in detecting this association.

DESIGN

Register-linkage study.

SETTING

Data were from the Finnish Public Sector study's register cohort.

PARTICIPANTS

The place of residence of 146 600 cohort participants was linked to map grids and administrative areas, and they were followed up for mortality from 2000 to 2011. Residential area socioeconomic deprivation and household crowding were aggregated into five alternative areas based on map grids (250×250 m, 1×1 km and 10×10 km squares), and administrative borders (zip-code area and town).

PRIMARY AND SECONDARY OUTCOME MEASURES

All-cause mortality.

RESULTS

For the 250×250 m area, mortality risk increased with increasing socioeconomic deprivation (HR for top vs bottom quintile 1.36, 95% CI 1.21 to 1.52). This association was either weaker or missing when broader spatial units were used. For household crowding, excess mortality was observed across all spatial units, the HRs ranging from 1.14 (95% CI 1.03 to 1.25) for zip code, and 1.21 (95% CI 1.11 to 1.31) for 250×250 m areas to 1.28 (95% CI 1.10 to 1.50) for 10×10 km areas.

CONCLUSIONS

Variation in spatial units for analysis is a source of heterogeneity in observed associations between residential area characteristics and risk of death.

摘要

目的

有关居住区域不良社会经济特征与死亡率之间关联的证据存在差异。本研究旨在检验空间单元的选择对于检测这种关联是否至关重要。

设计

基于注册的队列研究。

地点

数据来自芬兰公共部门研究的注册队列。

参与者

146600 名队列参与者的居住地址与地图网格和行政区相链接,并对其进行了从 2000 年到 2011 年的死亡率随访。居住区域社会经济剥夺和家庭拥挤程度根据地图网格(250×250m、1×1km 和 10×10km 正方形)和行政边界(邮政编码区域和城镇)被聚合为五个替代区域。

主要和次要结局指标

全因死亡率。

结果

对于 250×250m 区域,死亡率随社会经济剥夺程度的增加而升高(五分位最高与最低组的 HR 为 1.36,95%CI 为 1.21 至 1.52)。当使用更广泛的空间单元时,这种关联要么减弱,要么缺失。对于家庭拥挤程度,所有空间单元均观察到超额死亡率,HR 范围为 1.14(95%CI 为 1.03 至 1.25,邮编)到 1.21(95%CI 为 1.11 至 1.31,250×250m 区域)到 1.28(95%CI 为 1.10 至 1.50,10×10km 区域)。

结论

分析中空间单元的变化是导致居住区域特征与死亡风险之间观察到的关联存在差异的一个来源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1df/3641478/7233d1a3828f/bmjopen2012002474f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1df/3641478/4a44630dc65c/bmjopen2012002474f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1df/3641478/203c0085c973/bmjopen2012002474f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1df/3641478/7233d1a3828f/bmjopen2012002474f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1df/3641478/4a44630dc65c/bmjopen2012002474f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1df/3641478/203c0085c973/bmjopen2012002474f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1df/3641478/7233d1a3828f/bmjopen2012002474f03.jpg

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