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Analysis of the spatial distribution of infant mortality by cause of death in Austria in 1984 to 2006

机译:1984年至2006年奥地利按死因分列的婴儿死亡率的空间分布分析

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Background In Austria, over the last 20 years infant mortality declined from 11.2 per 1,000 life births (1985) to 4.7 per 1,000 in1997 but remained rather constant since then. In addition to this time trend we already reported a non-random spatial distribution of infant mortality rates in a recent study covering the time period 1984 to 2002. This present study includes four additional years and now covers about 1.9 million individual birth certificates. It aimes to elucidate the observed non-random spatial distribution in more detail. We split up infant mortality into six groups according to the underlying cause of death. The underlying spatial distribution of standardized mortality ratios (SMR) is estimated by univariate models as well as by two models incorporating all six groups simultaneously. Results We observe strong correlations between the individual spatial patterns of SMR's except for "Sudden Infant Death Syndrome" and to some extent for "Peripartal Problems". The spatial distribution of SMR's is non-random with an area of decreased risk in the South-East of Austria. The group "Sudden Infant Death Syndrome" clearly and the group "Peripartal Problems" slightly show deviations from the common pattern. When comparing univariate and multivariate SMR estimates we observe that the resulting spatial distributions are very similar. Conclusion We observe different non-random spatial distributions of infant mortality rates when grouped by cause of death. The models applied were based on individual data thereby avoiding ecological regression bias. The estimated spatial distributions do not substantially depend on the employed estimation method. The observed non-random spatial patterns of Austrian infant mortality remain to appear ambiguous.
机译:背景资料在过去的20年中,奥地利的婴儿死亡率从每千名活产婴儿的11.2(1985)下降到1997年的每千名婴儿4.7,但此后一直保持稳定。除了这种时间趋势外,我们在最近的一项涵盖1984年至2002年的研究中还报告了婴儿死亡率的非随机空间分布。本研究包括另外四年,现在涵盖了约190万张个人出生证明。目的是更详细地阐明观察到的非随机空间分布。根据潜在的死亡原因,我们将婴儿死亡率分为六类。标准化死亡率的基本空间分布通过单变量模型以及同时包含所有六个组的两个模型进行估算。结果我们观察到SMR的各个空间模式之间的强相关性,除了“婴儿猝死综合症”和“肢体问题”。 SMR的空间分布是非随机的,在奥地利东南部的风险降低的区域。 “婴儿突然死亡综合症”组和“围产期问题”组略有偏离常规模式的情况。当比较单变量和多变量SMR估计值时,我们观察到结果空间分布非常相似。结论我们按死亡原因分组观察婴儿死亡率的不同非随机空间分布。应用的模型基于个体数据,从而避免了生态回归偏差。估计的空间分布基本上不依赖于所采用的估计方法。奥地利婴儿死亡率的观察到的非随机空间格局仍然显得模棱两可。

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