Why does child mortality decrease with age? Modeling the age-associated decrease in mortality rate using WHO metadata from 25 countries.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50018296" target="_blank" >RIV/62690094:18450/21:50018296 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00064190:_____/21:N0000042 RIV/00216208:11120/21:43921948

Výsledek na webu

<a href="https://www.frontiersin.org/articles/10.3389/fped.2021.657298/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fped.2021.657298/full</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3389/fped.2021.657298" target="_blank" >10.3389/fped.2021.657298</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Why does child mortality decrease with age? Modeling the age-associated decrease in mortality rate using WHO metadata from 25 countries.

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Why does child mortality decrease with age? Modeling the age-associated decrease in mortality rate using WHO metadata from 25 countries.

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Frontiers in Pediatrics

ISSN

2296-2360

e-ISSN

—

Svazek periodika

9

Číslo periodika v rámci svazku

August

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

10

Strana od-do

"Article Number: 657298"

Kód UT WoS článku

000688430700001

EID výsledku v databázi Scopus

2-s2.0-85113474967