Assessing premature mortality: an indicator selection analysis using data from Moldova, Czechia, and Switzerland

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F23%3A10484568" target="_blank" >RIV/00216208:11310/23:10484568 - isvavai.cz</a>

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=-uHR.TtvQO" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=-uHR.TtvQO</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.36004/nier.es.2023.1-04" target="_blank" >10.36004/nier.es.2023.1-04</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Assessing premature mortality: an indicator selection analysis using data from Moldova, Czechia, and Switzerland

Popis výsledku v původním jazyce

Premature mortality is a very complex concept, and even though it is widely studied in the specialised literature, there is no broad agreement on its definition. This study aims to compare two different models of premature mortality analysis to highlight the more appropriate one for the national context. The actuality of this study is determined by the mortality level observed in the Republic of Moldova and particularly by the issue of adult male mortality level.To achieve this objective, the following indicators were compared: proportion of deaths up to a certain age threshold, Potential Years of Life Lost (PYLL), lifespan disparity and age threshold derived from lifespan disparity. Analysis was carried out in a comparative aspect. For this purpose, this study analysed data from Czechia and Switzerland. In the case of the Republic of Moldova, it is quite complicated to identify a universally accepted set of indicators that would allow the monitoring of premature mortality. The classical indicators are impacted by the age and number structure of the population. The dynamic approach indicators are exempted from the influence of age and number structure of the population but have a more complex methodology and are more complicated to interpret. However, establishing and promoting such a set of indicators is unquestionably necessary. It is important to note that the choice of indicators for monitoring premature mortality is influenced by existing scientific and actuarial interests or the goals set.

Název v anglickém jazyce

Assessing premature mortality: an indicator selection analysis using data from Moldova, Czechia, and Switzerland

Popis výsledku anglicky

Premature mortality is a very complex concept, and even though it is widely studied in the specialised literature, there is no broad agreement on its definition. This study aims to compare two different models of premature mortality analysis to highlight the more appropriate one for the national context. The actuality of this study is determined by the mortality level observed in the Republic of Moldova and particularly by the issue of adult male mortality level.To achieve this objective, the following indicators were compared: proportion of deaths up to a certain age threshold, Potential Years of Life Lost (PYLL), lifespan disparity and age threshold derived from lifespan disparity. Analysis was carried out in a comparative aspect. For this purpose, this study analysed data from Czechia and Switzerland. In the case of the Republic of Moldova, it is quite complicated to identify a universally accepted set of indicators that would allow the monitoring of premature mortality. The classical indicators are impacted by the age and number structure of the population. The dynamic approach indicators are exempted from the influence of age and number structure of the population but have a more complex methodology and are more complicated to interpret. However, establishing and promoting such a set of indicators is unquestionably necessary. It is important to note that the choice of indicators for monitoring premature mortality is influenced by existing scientific and actuarial interests or the goals set.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

50402 - Demography

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Economy and Sociology

ISSN

2587-4187

e-ISSN

2587-4195

Svazek periodika

2023

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

MD - Moldavská republika

Počet stran výsledku

10

Strana od-do

43-52

Kód UT WoS článku

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EID výsledku v databázi Scopus

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