Epidemiological studies of chronic disease: maladjustment of observed mortality rates.
Epidemiological studies of chronic disease: maladjustment of observed mortality rates.
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慢性病的流行病学研究：观察到的死亡率的失调。
DOI：
10.2105/ajph.70.2.142
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发表时间：
1980
影响因子：
12.7
通讯作者：
A. B. Clelland
中科院分区：
文献类型：
--
作者：
R. Hickey;R. Clelland;A. B. Clelland
对观察到的死亡率和发病率进行年龄调整并不能替代年龄特异性分析。衡量潜在因果因素与调整后死亡率之间的关联是特定调整程序和参考人口选择的函数。在这里，我们展示了简单的相关性统计，发生8个调整方法和3个参考人群的广泛变化。然后，我们将这些结果推广到多变量的情况下，显示一个例子，其中有连贯的结构之间的关联预测和死亡率。这与另一个不存在这种有意义的模式的示例形成鲜明对比。引用的研究表明，如果更多地关注按年龄调整的比率的基本结构，本可以得到改进。对观察到的总发病率进行年龄调整后得出的数字毫无意义，仅用于比较目的。观察到的总发病率具有实质性意义，但主要是在得到适当的年龄特异性数据分析的支持时提供有用的病因学线索。
Age adjustment of observed mortality and morbidity rates is not a substitute for age-specific analysis. Measures of association between potential causal factors and adjusted mortality rates are functions of the particular adjustment procedure and the choice of reference population. We exhibit here the wide variation in simple correlation statistics that occurs with eight adjustment methods and three reference populations. We then generalize these results to the multivariate situation showing an example in which there is coherent structure for the associations between predictors and mortality. This is contrasted with another example in which no such meaningful pattern exists. Studies are cited that could have been improved by greater attention to the underlying structure of age-adjusted rates. Age adjustment of total observed rates yields meaningless numbers that are useful for comparative purposes only. Total observed rates have substantive meaning but provide useful etiological clues primarily when supported by analyses of appropriate age-specific data.