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利用年龄-时期-队列模型揭示吸烟对 20 世纪英国和威尔士成年队列死亡率趋势的影响。

Use of an age-period-cohort model to reveal the impact of cigarette smoking on trends in twentieth-century adult cohort mortality in England and Wales.

机构信息

Department of Social Policy, London School of Economics and Political Science, Houghton Street, London, UK.

出版信息

Popul Stud (Camb). 2012 Nov;66(3):259-77. doi: 10.1080/00324728.2012.678881. Epub 2012 May 22.

Abstract

We use an age-period-cohort (APC) model to estimate the contribution of smoking-related mortality to cohort changes in adult mortality in Britain since 1950. We show that lung cancer and overall mortality can be satisfactorily modelled using cohort relative risk and a fixed age pattern. The results of the model suggest that smoking by itself can account for a substantial fraction of change in cohort mortality for those born around the first half of the twentieth century. In particular, smoking provides an explanation for the higher-than-average improvement in the mortality of both males and females born around 1930. Our confidence in the correctness of the results of the models is strengthened by the fact that they are very similar to those of the Peto-Lopez and Preston-Glei-Wilmoth models that estimate the contribution of smoking-related to overall mortality.

摘要

我们使用年龄-时期-队列(APC)模型来估计自 1950 年以来英国吸烟相关死亡率对成年人死亡率的队列变化的贡献。我们表明,使用队列相对风险和固定年龄模式可以很好地对肺癌和总体死亡率进行建模。该模型的结果表明,对于 20 世纪上半叶出生的人来说,吸烟本身可以解释队列死亡率变化的很大一部分。特别是,吸烟为 1930 年左右出生的男性和女性的死亡率高于平均水平的改善提供了解释。我们对模型结果正确性的信心得到了加强,因为它们与估计吸烟相关死亡率对总死亡率的贡献的 Peto-Lopez 和 Preston-Glei-Wilmoth 模型的结果非常相似。

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