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首页> 外文期刊>Stroke: A Journal of Cerebral Circulation >Incidence of stroke and socioeconomic neighborhood characteristics: an ecological analysis of Dijon stroke registry.
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Incidence of stroke and socioeconomic neighborhood characteristics: an ecological analysis of Dijon stroke registry.

机译:中风发病率和社会经济邻里特征:第戎中风病登记处的生态学分析。

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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.
机译:背景与目的:研究表明,在贫困程度较高的地区,卒中发生率较高。我们旨在确定特定性别和年龄组中各个地区社会经济地位(SES)指标与中风发生率之间的关联模式。方法:数据来自第戎中风登记处1995年至2003年的数据。分析包括1255例年龄超过40岁(中位年龄为76.8岁)的病例。使用Poisson回归根据61个小区域的SES水平对中风发生率进行建模。结果:在女性中,收入差距较大的社区中风发生率较高(发生率比,1.34; P = 0.003),非法国国民的失业率较高(1.24; P = 0.02)(1.21,P = 0.02) )和租住的房屋(1.31; P = 0.03)。 60岁以上人口比例较高的地区与中风发生率较低相关(发生率比,0.72; P = 0.01)。通过特定年龄组的分析显示,在60至74岁的人群中影响更大。在男性中,总体上未发现SES与中风发生率之间的相关性,但按年龄组进行的分析显示,在40至59岁的人群中有显着影响。在这个年龄段,失业率是1.47(P = 0.01),没有汽车的发生率是1.86(P = 0.02),收入不平等的发生率是1.56(P = 0.01)。在中风病例中,未发现根据SES区域的血管危险因素流行趋势。结论:中风发生率的变化在财富和收入不平等的SES指标上更为明显。它们在男性中较早出现,在女性中表现出较强的梯度。

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