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卒中发病率与社会经济邻里特征:第戎卒中登记处的生态分析。

Incidence of stroke and socioeconomic neighborhood characteristics: an ecological analysis of Dijon stroke registry.

机构信息

French School of Public Health, Rennes, France.

出版信息

Stroke. 2011 May;42(5):1201-6. doi: 10.1161/STROKEAHA.110.596429. Epub 2011 Mar 10.

Abstract

BACKGROUND AND PURPOSE

Studies have shown higher stroke incidence in areas with higher levels of deprivation. We aimed to determine the pattern of association between various area socioeconomic status (SES) indicators and stroke incidence in specific sex and age groups.

METHODS

Data are from the Dijon stroke registry for the period 1995 to 2003. The analyses included 1255 cases aged older than 40 (median age, 76.8). Poisson regression was used to model stroke incidence according to the SES level of 61 small areas.

RESULTS

Among women, stroke incidence was higher in neighborhoods with large income inequality (incidence rate ratio, 1.34; P=0.003), higher proportions of unemployed (1.24; P=0.02), of non-French nationals (1.21, P=0.02), and of rented housing (1.31; P=0.03). Areas with a higher proportion of people aged older than 60 were associated with lower stroke incidence (incidence rate ratio, 0.72; P=0.01). Analysis by specific age-groups showed stronger effects among the 60- to 74-year-olds. Among men, no associations between SES and stroke incidence were identified overall but analysis by age groups showed significant effect among the 40- to 59-year-olds. In this age group, incidence rate ratios were 1.47 for unemployment (P=0.01), 1.86 for no car ownership (P=0.02), and 1.56 for income inequality (P=0.01). Among stroke cases, no trend in vascular risk factors prevalence according to area SES was identified.

CONCLUSIONS

Variations of stroke incidence were more marked for the SES indicators of wealth and of income inequality. They were apparent at an earlier age in men and showed a stronger gradient among women.

摘要

背景与目的

研究表明,贫困程度较高的地区中风发病率更高。我们旨在确定各种地区社会经济地位(SES)指标与特定性别和年龄组中风发病率之间的关联模式。

方法

数据来自 1995 年至 2003 年期间的第戎中风登记处。使用泊松回归模型根据 61 个小区域的 SES 水平对中风发病率进行分析。

结果

在女性中,收入不平等程度较高的社区中风发病率较高(发病率比,1.34;P=0.003),失业比例较高(1.24;P=0.02),非法国籍人口比例较高(1.21,P=0.02),以及租房比例较高(1.31;P=0.03)。60 岁以上人口比例较高的地区与较低的中风发病率相关(发病率比,0.72;P=0.01)。按特定年龄组分析显示,60-74 岁人群的影响更为明显。在男性中,总体上 SES 与中风发病率之间没有关联,但按年龄组分析显示,40-59 岁人群存在显著影响。在该年龄组中,失业率的发病率比为 1.47(P=0.01),无车拥有率为 1.86(P=0.02),收入不平等率为 1.56(P=0.01)。在中风病例中,根据区域 SES,血管危险因素的流行趋势没有变化。

结论

SES 指标财富和收入不平等对中风发病率的变化影响更为明显。在男性中,发病年龄更早,在女性中,梯度更为明显。

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