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教育水平解释了巴西若因维莱市不同区之间的卒中发病率差异:一项为期三年的基于人群的研究。

Education level explains differences in stroke incidence among city districts in Joinville, Brazil: a three-year population-based study.

机构信息

Department of Medicine, Universidade da Região de Joinville, Joinville, Brazil.

出版信息

Neuroepidemiology. 2011;36(4):258-64. doi: 10.1159/000328865. Epub 2011 Jun 24.

DOI:10.1159/000328865
PMID:21701199
Abstract

BACKGROUND

Current evidence suggests an inverse association between socioeconomic status and stroke incidence. Our aim was to measure the variation in incidence among different city districts (CD) and their association with socioeconomic variables.

METHODS

We prospectively ascertained all possible stroke cases occurring in the city of Joinville during the period 2005-2007. We determined the incidence for each of the 38 CD, age-adjusted to the population of Joinville. By linear regression analysis, we correlated incidence data with mean years of education (MYE) and mean income per month (MIPM).

RESULTS

Of the 1,734 stroke cases registered, 1,034 were first-ever strokes. In the study period, the crude incidence in Joinville was 69.5 per 100,000 (95% confidence interval, 65.3-73.9). The stroke incidence among CD ranged from 37.5 (22.2-64.6) to 151.0 per 100,000 (69.0-286.6). The stroke incidence was inversely correlated with years of education (r = -0.532; p < 0.001). MYE and MIPM were strongly related (R = 0.958), resulting in exclusion of MIPM by collinearity.

CONCLUSIONS

Years of education can explain a wide incidence variation among CD. These results may be useful to guide the allocation of resources in primary prevention policies.

摘要

背景

现有证据表明,社会经济地位与卒中发病率呈负相关。我们的目的是衡量不同城区(CD)的发病率差异及其与社会经济变量的相关性。

方法

我们前瞻性地确定了 2005-2007 年期间在若因维利市发生的所有可能的卒中病例。我们确定了 38 个 CD 中每个 CD 的发病率,并按若因维利市的人口进行了年龄调整。通过线性回归分析,我们将发病率数据与平均受教育年限(MYE)和月平均收入(MIPM)进行了相关性分析。

结果

在登记的 1734 例卒中病例中,有 1034 例为首发卒中。在研究期间,若因维利市的粗发病率为 69.5/10 万(95%置信区间,65.3-73.9)。CD 之间的卒中发病率范围为 37.5(22.2-64.6)至 151.0/10 万(69.0-286.6)。卒中发病率与受教育年限呈负相关(r = -0.532;p < 0.001)。MYE 和 MIPM 之间具有很强的相关性(R = 0.958),因此通过共线性排除了 MIPM。

结论

受教育年限可以解释 CD 之间广泛的发病率差异。这些结果可能有助于指导初级预防政策中资源的分配。

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