How the United Nations mortality tables hang together

Area of Science:

• Biogerontology
• Demography
• Statistical Modeling

Background:

• Understanding human mortality patterns is crucial for public health and longevity research.
• Previous models have attempted to explain lifespan variations, but a unified framework remains elusive.

Purpose of the Study:

• To investigate the relationship between national mortality statistics and a theoretical model of biological failure.
• To determine if Gompertz constants derived from mortality data align with a probabilistic lifespan model.

Main Methods:

• Gompertz constants were calculated using mortality statistics from 80 United Nations member states.
• These constants were compared to a model based on the cumulant of failures across 46 human biological functions.
• Statistical analysis was employed to assess the agreement between empirical data and the theoretical model.

Main Results:

• Mortality data formed a cohesive set when compared to the biological failure model, with slopes radiating from a central value.
• Data from longest-lived regions supported the model's predictions.
• Data from less long-lived regions indicated a constant average cumulant but increased standard deviations (S.D.s).

Conclusions:

• The findings support a probabilistic view of lifespan, suggesting that human aging is governed by underlying biological failure processes.
• Variations in national lifespan can be explained by differences in the variability (S.D.s) of these biological failure rates.
• The study provides a unified framework for understanding mortality patterns across diverse populations.