ASSESSING PREMATURE MORTALITY: AN INDICATOR SELECTION ANALYSIS USING DATA FROM REPUBLIC OF MOLDOVA, CZECHIA, AND SWITZERLAND

Premature mortality is a highly intricate concept, and despite its extensive exploration in specialized literature, a universally agreed-upon definition remains elusive. This study seeks to compare two distinct models of premature mortality analysis in order to determine the more appropriate approac...

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Main Author: Irina Pahomii
Format: Article
Language:English
Published: National Institute for Economic Research 2023-01-01
Series:Economy and Sociology
Subjects:
Online Access:https://es.ince.md/index.php/Economy_and_Sociology/article/view/151
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author Irina Pahomii
author_facet Irina Pahomii
author_sort Irina Pahomii
collection DOAJ
description Premature mortality is a highly intricate concept, and despite its extensive exploration in specialized literature, a universally agreed-upon definition remains elusive. This study seeks to compare two distinct models of premature mortality analysis in order to determine the more appropriate approach within the national context. The relevance of this study is underscored by the observed mortality rates in Moldova, particularly the concern surrounding adult male mortality. To achieve this objective, a comparison was conducted involving the following indicators: the proportion of deaths before a specific age threshold, Potential Years of Life Lost (PYLL), disparity in lifespans, and age thresholds derived from lifespan disparity. The analysis primarily adopts a comparative approach, and as such, data from Czechia and Sweden were employed for this purpose. In the context of Moldova, identifying a universally accepted set of indicators to effectively monitor premature mortality proves to be a complex task. Conventional indicators are susceptible to variations caused by age and population structure. The application of standardization methods can mitigate the impact of these factors. Alternatively, the "dynamic" approach indicators are less influenced by age and population structure, yet their methodology is more intricate, posing challenges for interpretation. Nonetheless, the establishment and promotion of such an indicator set are undeniably imperative. It is noteworthy that the selection of indicators for monitoring premature mortality is influenced by prevailing scientific or actuarial interests, as well as the specific goals outlined for the analysis.
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spelling doaj.art-c7b99f760c7246e683c151050500778f2024-01-23T10:37:14ZengNational Institute for Economic ResearchEconomy and Sociology2587-41872587-41952023-01-01110.36004/nier.es.2023.1-04ASSESSING PREMATURE MORTALITY: AN INDICATOR SELECTION ANALYSIS USING DATA FROM REPUBLIC OF MOLDOVA, CZECHIA, AND SWITZERLAND Irina Pahomii 0https://orcid.org/0000-0002-6595-9146PhD student , Department of Demography and Geodemography, Faculty of Science, Charles University, Prague, Czechia, National Institute for Economic Research, Moldova Premature mortality is a highly intricate concept, and despite its extensive exploration in specialized literature, a universally agreed-upon definition remains elusive. This study seeks to compare two distinct models of premature mortality analysis in order to determine the more appropriate approach within the national context. The relevance of this study is underscored by the observed mortality rates in Moldova, particularly the concern surrounding adult male mortality. To achieve this objective, a comparison was conducted involving the following indicators: the proportion of deaths before a specific age threshold, Potential Years of Life Lost (PYLL), disparity in lifespans, and age thresholds derived from lifespan disparity. The analysis primarily adopts a comparative approach, and as such, data from Czechia and Sweden were employed for this purpose. In the context of Moldova, identifying a universally accepted set of indicators to effectively monitor premature mortality proves to be a complex task. Conventional indicators are susceptible to variations caused by age and population structure. The application of standardization methods can mitigate the impact of these factors. Alternatively, the "dynamic" approach indicators are less influenced by age and population structure, yet their methodology is more intricate, posing challenges for interpretation. Nonetheless, the establishment and promotion of such an indicator set are undeniably imperative. It is noteworthy that the selection of indicators for monitoring premature mortality is influenced by prevailing scientific or actuarial interests, as well as the specific goals outlined for the analysis.https://es.ince.md/index.php/Economy_and_Sociology/article/view/151premature mortalitypylllifespan disparityage threshold
spellingShingle Irina Pahomii
ASSESSING PREMATURE MORTALITY: AN INDICATOR SELECTION ANALYSIS USING DATA FROM REPUBLIC OF MOLDOVA, CZECHIA, AND SWITZERLAND
Economy and Sociology
premature mortality
pyll
lifespan disparity
age threshold
title ASSESSING PREMATURE MORTALITY: AN INDICATOR SELECTION ANALYSIS USING DATA FROM REPUBLIC OF MOLDOVA, CZECHIA, AND SWITZERLAND
title_full ASSESSING PREMATURE MORTALITY: AN INDICATOR SELECTION ANALYSIS USING DATA FROM REPUBLIC OF MOLDOVA, CZECHIA, AND SWITZERLAND
title_fullStr ASSESSING PREMATURE MORTALITY: AN INDICATOR SELECTION ANALYSIS USING DATA FROM REPUBLIC OF MOLDOVA, CZECHIA, AND SWITZERLAND
title_full_unstemmed ASSESSING PREMATURE MORTALITY: AN INDICATOR SELECTION ANALYSIS USING DATA FROM REPUBLIC OF MOLDOVA, CZECHIA, AND SWITZERLAND
title_short ASSESSING PREMATURE MORTALITY: AN INDICATOR SELECTION ANALYSIS USING DATA FROM REPUBLIC OF MOLDOVA, CZECHIA, AND SWITZERLAND
title_sort assessing premature mortality an indicator selection analysis using data from republic of moldova czechia and switzerland
topic premature mortality
pyll
lifespan disparity
age threshold
url https://es.ince.md/index.php/Economy_and_Sociology/article/view/151
work_keys_str_mv AT irinapahomii assessingprematuremortalityanindicatorselectionanalysisusingdatafromrepublicofmoldovaczechiaandswitzerland