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Rectangularization revisited: variability of age at death within human populations
1Department of Demography, University of California, Berkeley 2232, USA. jrw@demog.berkeley.edu
Demography
|December 22, 1999
Summary
Human survival curves show decreasing age at death variability since 1751, stabilizing post-1950s. This mortality compression may impact psychology and behavior.
Area of Science:
- Demography
- Mortality studies
- Public health
Background:
- Human survival curves have historically shown a trend towards rectangularization.
- Rectangularization implies a decrease in the variability of ages at death.
- This trend suggests a compression of mortality, with more individuals living to older ages.
Purpose of the Study:
- To analyze trends in the variability of ages at death in Sweden, Japan, and the United States.
- To investigate whether the rectangularization of survival curves has continued in recent decades.
- To explore potential psychological and behavioral impacts of historical mortality compression.
Main Methods:
- Analysis of life table data, specifically the interquartile range (IQR) of ages at death.
- Longitudinal comparison of mortality variability in Sweden from 1751 to the present.
- Comparative analysis of mortality variability trends in Japan and the United States post-1950s.
Main Results:
- Swedish mortality variability (IQR) decreased significantly from approximately 65 years in 1751 to 15 years by the mid-20th century.
- Since the 1950s, mortality variability has remained relatively constant in Sweden, Japan, and the United States.
- The United States exhibits higher mortality variability compared to Sweden and Japan.
Conclusions:
- The rectangularization of human survival curves, characterized by decreasing mortality variability, has slowed or ceased since the mid-20th century.
- The observed plateau in mortality variability challenges predictions of continued survival curve compression.
- Historical mortality compression may have induced significant psychological and behavioral shifts in populations.