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Why Does Child Mortality Decrease With Age? Modeling the Age-Associated Decrease in Mortality Rate Using WHO Metadata From 14 European Countries

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F20%3A50017217" target="_blank" >RIV/62690094:18450/20:50017217 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11120/20:43920775 RIV/00064190:_____/20:N0000030

  • Result on the web

    <a href="https://www.frontiersin.org/articles/10.3389/fped.2020.527811/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fped.2020.527811/full</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3389/fped.2020.527811" target="_blank" >10.3389/fped.2020.527811</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Why Does Child Mortality Decrease With Age? Modeling the Age-Associated Decrease in Mortality Rate Using WHO Metadata From 14 European Countries

  • Original language description

    Background: Mortality rate rapidly decreases with age after birth, and, simultaneously, the spectrum of death causes show remarkable changes with age. This study analyzed age-associated decreases in mortality rate from diseases of all main chapters of the 10th revision of the International Classification of Diseases. Methods: The number of deaths was extracted from the mortality database of the World Health Organization. As zero cases could be ascertained for a specific age category, the Halley method was used to calculate the mortality rates in all possible calendar years and in all countries combined. Results: All causes mortality from the 1st day of life to the age of 10 years can be represented by an inverse proportion model with a single parameter. High coefficients of determination were observed for total mortality in all populations (arithmetic mean = 0.9942 and standard deviation = 0.0039). Slower or no mortality decrease with age was detected in the 1st year of life, while the inverse proportion method was valid for the age range [1, 10) years in most of all main chapters with three exceptions. a) The decrease was faster for the chapter “Certain conditions originating in the perinatal period” (XVI). b) The inverse proportion was valid already from the 1st day for the chapter “Congenital malformations, deformations and chromosomal abnormalities” (XVII). c) The shape of the mortality decrease was very different for the chapter “Neoplasms” (II) and the rates of mortality from neoplasms were age-independent in the age range [1, 10) years in all populations. Conclusion: The theory of congenital individual risks of death is presented and can explain the results. If it is valid, latent congenital impairments may be present among all cases of death that are not related to congenital impairments. All results are based on published data, and the data are presented as a supplement.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30302 - Epidemiology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Frontiers in Pediatrics

  • ISSN

    2296-2360

  • e-ISSN

  • Volume of the periodical

    8

  • Issue of the periodical within the volume

    october

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    19

  • Pages from-to

    "Article Number: 527811"

  • UT code for WoS article

    000587705900001

  • EID of the result in the Scopus database

    2-s2.0-85095812361