Abstract

Background: Our previous study analyzed the age trajectory of mortality (ATM) in 14 European countries, while this study aimed at investigating ATM in other continents and in countries with a higher level of mortality. Data from 11 Non-European countries were used.Methods: The number of deaths was extracted from the WHO mortality database. The Halley method was used to calculate the mortality rates in all possible calendar years and all countries combined. This method enables us to combine more countries and more calendar years in one hypothetical population.Results: The age trajectory of total mortality (ATTM) and also ATM due to specific groups of diseases were very similar in the 11 non-European countries and in the 14 European countries. The level of mortality did not affect the main results found in European countries. The inverse proportion was valid for ATTM in non-European countries with two exceptions.Slower or no mortality decrease with age was detected in the first year of life, while the inverse proportion model was valid for the age range (1, 10) years in most of the main chapters of ICD10.Conclusions: The decrease in child mortality with age may be explained as the result of the depletion of individuals with congenital impairment. The majority of deaths up to the age of 10 years were related to congenital impairments, and the decrease in child mortality rate with age was a demonstration of population heterogeneity. The congenital impairments were latent and may cause death even if no congenital impairment was detected.

Highlights

  • Human mortality rate decreases with age after birth and increases with age in adults

  • Age trajectory of total mortality (ATTM) was more important and had a more general meaning than other age trajectory of mortality (ATM) that were constructed in specific groups of diseases

  • ATTM had reached the minimal value in all 32 studied populations in the age interval 5–10 years with three exceptions

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Summary

Introduction

Human mortality rate decreases with age after birth and increases with age in adults This increase in adults is exponential and it is usually interpreted as a manifestation of aging and affects all individuals [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23]. Age is a deterministic variable in the relationship because coefficients of determination were higher than 0.99 (if age as a single independent variable is used to explain the changes of mortality rate, more than 99% of variability is explained) [4, 19,20,21,22]. The steep mortality decrease is accompanied by age-based changes in the causes of death [28].

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