Cargando…

Sociodemographic features of COVID-19 premature mortality: Serbian individual-level data evidence

BACKGROUND: In Serbia, premature mortality due to COVID-19 usually has been assessed using aggregated mortality data, thus overlooking the impact of sociodemographic factors. Within the European Burden of Disease Network (COST Action CA18218), we examined the association between several sociodemogra...

Descripción completa

Detalles Bibliográficos
Autores principales: Stevanović, A, Šantrić-Milićević, M, Todorović, J, Mandić-Rajčević, S, Rosić, N, Bjelobrk, G, von der Lippe, E, Devleesschauwer, B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10596925/
http://dx.doi.org/10.1093/eurpub/ckad160.772
_version_ 1785125220383719424
author Stevanović, A
Šantrić-Milićević, M
Todorović, J
Mandić-Rajčević, S
Rosić, N
Bjelobrk, G
von der Lippe, E
Devleesschauwer, B
author_facet Stevanović, A
Šantrić-Milićević, M
Todorović, J
Mandić-Rajčević, S
Rosić, N
Bjelobrk, G
von der Lippe, E
Devleesschauwer, B
author_sort Stevanović, A
collection PubMed
description BACKGROUND: In Serbia, premature mortality due to COVID-19 usually has been assessed using aggregated mortality data, thus overlooking the impact of sociodemographic factors. Within the European Burden of Disease Network (COST Action CA18218), we examined the association between several sociodemographic factors and COVID-19 years of life lost (YLL) to reveal potential social inequalities. METHODS: The Statistical Office of the Republic of Serbia (SORS) has provided disaggregated, anonymized, and individual data on COVID-19 deaths in 2020 and 2021 from death certificates having U07.1 and U07.2 ICD codes as the main cause of death. Additionally, SORS remaining life expectancy and population size estimates were used along with sociodemographic data for each YLL case (sex, time and place of death, type of residential settlement, educational attainment, marital status, and economic activity). RESULTS: In the observed two-year period, 38,098 COVID-19 death cases were assessed, of which 72.8% were registered in 2021. The average YLL per death case was 12.51±7.62, and the median YLL was 11.50 (12.60±7.44 for men and 12.39±7.85 for women, p < 0.006). The multivariate linear regression indicated a significant association between the number of YLL and sex (B = 1.02, p < 0.01), residential area (B = 0.21, p < 0.01), educational attainment (B = 0.84, p < 0.01), marital status (B = 1.65, p < 0.01), employment (B=-7.02, p < 0.01) and place of death (B=-1.76, p < 0.01). CONCLUSIONS: This study demonstrates social inequalities in COVID-19 premature mortality associated with the highest YLL among men, single persons, retired persons, and those with higher education status. We identify significant differences in YLL when comparing different regions. KEY MESSAGES: • Individual-level data reveals differences in premature mortality aggravated by social disparities. • Policymakers should consider sociodemographic factors when designing COVID-19 prevention measures.
format Online
Article
Text
id pubmed-10596925
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-105969252023-10-25 Sociodemographic features of COVID-19 premature mortality: Serbian individual-level data evidence Stevanović, A Šantrić-Milićević, M Todorović, J Mandić-Rajčević, S Rosić, N Bjelobrk, G von der Lippe, E Devleesschauwer, B Eur J Public Health Poster Walks BACKGROUND: In Serbia, premature mortality due to COVID-19 usually has been assessed using aggregated mortality data, thus overlooking the impact of sociodemographic factors. Within the European Burden of Disease Network (COST Action CA18218), we examined the association between several sociodemographic factors and COVID-19 years of life lost (YLL) to reveal potential social inequalities. METHODS: The Statistical Office of the Republic of Serbia (SORS) has provided disaggregated, anonymized, and individual data on COVID-19 deaths in 2020 and 2021 from death certificates having U07.1 and U07.2 ICD codes as the main cause of death. Additionally, SORS remaining life expectancy and population size estimates were used along with sociodemographic data for each YLL case (sex, time and place of death, type of residential settlement, educational attainment, marital status, and economic activity). RESULTS: In the observed two-year period, 38,098 COVID-19 death cases were assessed, of which 72.8% were registered in 2021. The average YLL per death case was 12.51±7.62, and the median YLL was 11.50 (12.60±7.44 for men and 12.39±7.85 for women, p < 0.006). The multivariate linear regression indicated a significant association between the number of YLL and sex (B = 1.02, p < 0.01), residential area (B = 0.21, p < 0.01), educational attainment (B = 0.84, p < 0.01), marital status (B = 1.65, p < 0.01), employment (B=-7.02, p < 0.01) and place of death (B=-1.76, p < 0.01). CONCLUSIONS: This study demonstrates social inequalities in COVID-19 premature mortality associated with the highest YLL among men, single persons, retired persons, and those with higher education status. We identify significant differences in YLL when comparing different regions. KEY MESSAGES: • Individual-level data reveals differences in premature mortality aggravated by social disparities. • Policymakers should consider sociodemographic factors when designing COVID-19 prevention measures. Oxford University Press 2023-10-24 /pmc/articles/PMC10596925/ http://dx.doi.org/10.1093/eurpub/ckad160.772 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Poster Walks
Stevanović, A
Šantrić-Milićević, M
Todorović, J
Mandić-Rajčević, S
Rosić, N
Bjelobrk, G
von der Lippe, E
Devleesschauwer, B
Sociodemographic features of COVID-19 premature mortality: Serbian individual-level data evidence
title Sociodemographic features of COVID-19 premature mortality: Serbian individual-level data evidence
title_full Sociodemographic features of COVID-19 premature mortality: Serbian individual-level data evidence
title_fullStr Sociodemographic features of COVID-19 premature mortality: Serbian individual-level data evidence
title_full_unstemmed Sociodemographic features of COVID-19 premature mortality: Serbian individual-level data evidence
title_short Sociodemographic features of COVID-19 premature mortality: Serbian individual-level data evidence
title_sort sociodemographic features of covid-19 premature mortality: serbian individual-level data evidence
topic Poster Walks
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10596925/
http://dx.doi.org/10.1093/eurpub/ckad160.772
work_keys_str_mv AT stevanovica sociodemographicfeaturesofcovid19prematuremortalityserbianindividualleveldataevidence
AT santricmilicevicm sociodemographicfeaturesofcovid19prematuremortalityserbianindividualleveldataevidence
AT todorovicj sociodemographicfeaturesofcovid19prematuremortalityserbianindividualleveldataevidence
AT mandicrajcevics sociodemographicfeaturesofcovid19prematuremortalityserbianindividualleveldataevidence
AT rosicn sociodemographicfeaturesofcovid19prematuremortalityserbianindividualleveldataevidence
AT bjelobrkg sociodemographicfeaturesofcovid19prematuremortalityserbianindividualleveldataevidence
AT vonderlippee sociodemographicfeaturesofcovid19prematuremortalityserbianindividualleveldataevidence
AT devleesschauwerb sociodemographicfeaturesofcovid19prematuremortalityserbianindividualleveldataevidence