Evidence map›Paper›PMID 38321440›Full record

ArticlePopulation health metrics2024

The impact of COVID-19 on life expectancy across socioeconomic groups in Denmark.

Cosmo Strozza, Serena Vigezzi, Julia Callaway, José Manuel Aburto

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Article in Population health metrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Cosmo StrozzaInterdisciplinary Centre on Population Dynamics, University of Southern Denmark, Odense, Denmark. cstrozza@health.sdu.dk.
Serena VigezziInterdisciplinary Centre on Population Dynamics, University of Southern Denmark, Odense, Denmark.
Julia CallawayInterdisciplinary Centre on Population Dynamics, University of Southern Denmark, Odense, Denmark.
José Manuel AburtoInterdisciplinary Centre on Population Dynamics, University of Southern Denmark, Odense, Denmark.

Funding

Rockwool Fonden Excess deaths and life-years lost due to the Covid-19 pandemic in Denmark
6 · The paper itself

Abstract

backgroundDenmark was one of the few countries that experienced an increase in life expectancy in 2020, and one of the few to see a decrease in 2021. Because COVID-19 mortality is associated with socioeconomic status (SES), we hypothesize that certain subgroups of the Danish population experienced changes in life expectancy in 2020 and 2021 that differed from the country overall. We aim to quantify life expectancy in Denmark in 2020 and 2021 by SES and compare this to recent trends in life expectancy (2014-2019).

methodsWe used Danish registry data from 2014 to 2021 for all individuals aged 30+. We classified the study population into SES groups using income quartiles and calculated life expectancy at age 30 by year, sex, and SES, and the differences in life expectancy from 2019 to 2020 and 2020 to 2021. We compared these changes to the average 1-year changes from 2014 to 2019 with 95% confidence intervals. Lastly, we decomposed these changes by age and cause of death distinguishing seven causes, including COVID-19, and a residual category.

resultsWe observed a mortality gradient in life expectancy changes across SES groups in both pandemic years. Among women, those of higher SES experienced a larger increase in life expectancy in 2020 and a smaller decrease in 2021 compared to those of lower SES. Among men, those of higher SES experienced an increase in life expectancy in both 2020 and 2021, while those of lower SES experienced a decrease in 2021. The impact of COVID-19 mortality on changes in life expectancy in 2020 was counterbalanced by improvements in non-COVID-19 mortality, especially driven by cancer and cardiovascular mortality. However, in 2021, non-COVID-19 mortality contributed negatively even for causes as cardiovascular mortality that has generally a positive impact on life expectancy changes, resulting in declines for most SES groups.

conclusionsCOVID-19 mortality disproportionally affected those of lower SES and exacerbated existing social inequalities in Denmark. We conclude that in health emergencies, particular attention should be paid to those who are least socially advantaged to avoid widening the already existing mortality gap with those of higher SES. This research contributes to the discussion on social inequalities in mortality in high-income countries.

Indexed as

Cardiovascular DiseasesCOVID-19AdultDenmarkFemaleHumansLife ExpectancyMaleSocioeconomic FactorsCause of deathCOVID-19 pandemicDecomposition analysisIncomeMortalityRegistry dataSocial inequalities

Identifiers

PMID38321440
PMCPMC10848407

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.