Yang Yang
Department of Sociology and Population Research Center and Center on Aging at NORC, The University of Chicago. IL, USA.
Demography. 2008 May;45(2):387-416. doi: 10.1353/dem.0.0000.
In this paper, I examine temporal changes in U.S. adult mortality by chronic disease cause of death and by sex over a 40-year period in the second half of the twentieth century. I apply age-period-cohort (APC) analyses that combine conventional approaches and a new method of model estimation to simultaneously account for age, period, and cohort variations in mortality rates for four leading causes of deaths, including heart disease, stroke, lung cancer, and breast cancer. The results show that large reductions in mortality since the late 1960s continued well into the late 1990s and that these reductions were predominately contributed by cohort effects. Cohort effects are found to differ by specific causes of death examined, but they generally show substantial survival improvements. Implications of these results are discussed with regard to demographic theories of mortality reductions, differential cohort accumulation of health capital and lifetime exposures to socioeconomic and behavioral risk factors, and period changes in diagnostic techniques and medical treatment.
在本文中,我研究了20世纪后半叶40年间美国成年人按慢性病死因和性别划分的死亡率的时间变化。我应用年龄-时期-队列(APC)分析方法,该方法结合了传统方法和一种新的模型估计方法,以同时考虑心脏病、中风、肺癌和乳腺癌这四种主要死因的死亡率在年龄、时期和队列方面的差异。结果表明,自20世纪60年代末以来死亡率的大幅下降一直持续到90年代末,而且这些下降主要是由队列效应导致的。研究发现,队列效应因所考察的具体死因不同而有所差异,但总体上显示出存活率有显著提高。本文还讨论了这些结果在死亡率下降的人口统计学理论、健康资本的不同队列积累以及一生对社会经济和行为风险因素的暴露情况,以及诊断技术和医疗治疗的时期变化等方面的意义。