使用基于生命表的洛伦兹曲线分析来表征人群中的寿命变异性。
Characterising life-span variability in a population using the life-table-based Lorenz-curve analysis.
作者信息
Lee W C
机构信息
Graduate Institute of Epidemiology, College of Public Health, National Taiwan University, Republic of China.
出版信息
J Epidemiol Biostat. 2000;5(5):315-20.
BACKGROUND
'Life expectancy' (LE) is a health-status indicator in widespread use. However, LE is an index of central location, but not of dispersion. It cannot describe inter-individual variation in the life-span. This author proposes using the Gini coefficient, a summary index of the Lorenz curve, for characterising life-span variability. Like the LE, the proposed index is also based on a lifetable.
METHOD
The method is a nonparametric approach that does not make specific assumptions about mortality rates.
RESULTS
The author uses vital statistics from Taiwan as a demonstration and finds that the method provides information crucial to the understanding of the epidemiologic transitions of the past 20 years (Gini decreases from 0.1320 to 0.1130). It also quantifies the impacts of elimination of some selected causes of death in Taiwan.
CONCLUSIONS
It is recommended that Gini be routinely compiled in official vital statistics, along with the LE.
背景
“预期寿命”（LE）是一种广泛使用的健康状况指标。然而，预期寿命是一个集中位置指标，而非离散度指标。它无法描述个体寿命的差异。本文作者提议使用基尼系数（洛伦兹曲线的一个汇总指标）来表征寿命变异性。与预期寿命一样，所提议的指标也是基于生命表。
方法
该方法是一种非参数方法，不对死亡率做特定假设。
结果
作者以台湾的人口动态统计数据为例进行说明，发现该方法能提供对于理解过去20年流行病学转变至关重要的信息（基尼系数从0.1320降至0.1130）。它还对台湾部分特定死因消除所产生的影响进行了量化。
结论
建议在官方人口动态统计中常规编制基尼系数，并与预期寿命一同列出。
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