Evidence map›Paper›PMID 36970714›Full record

ArticleJournal of population research (Canberra, A.C.T.)2023

Trends in mortality patterns in two countries with different welfare models: comparisons between CUBA and Denmark 1955-2020.

Henrik Brønnum-Hansen, Juan Carlos Albizu-Campos Espiñeira, Camila Perera, Ingelise Andersen

Abstract read
In one paragraph

Article in Journal of population research (Canberra, A.C.T.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Henrik Brønnum-HansenFaculty of Health and Medical Sciences, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 1014 Copenhagen, Denmark.ORCID 0000-0003-3513-7245
Juan Carlos Albizu-Campos EspiñeiraCenter of Studies of Cuban Economy, University of Havana, Havana, Cuba.ORCID 0000-0003-4535-9466
Camila PereraTrinity Centre for Global Health, School of Psychology, Trinity College, Dublin, Ireland.ORCID 0000-0003-0951-9661
Ingelise AndersenFaculty of Health and Medical Sciences, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 1014 Copenhagen, Denmark.ORCID 0000-0002-0076-265X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cuba and Denmark represent states with different welfare models that have reached the same level of life expectancy. The purpose was to investigate and compare mortality changes in the two countries. Systematically collected information on population numbers and deaths for the entire Cuban and Danish populations was the basis of life table data used to quantify differences in the change in age-at-death distributions since 1955, age-specific contributions to differences in life expectancy, lifespan variation, and other changes in mortality patterns in Cuba and Denmark. Life expectancy in Cuba and Denmark converged until 2000, when the increase in life expectancy for Cuba slowed down. Since 1955, infant mortality has fallen in both countries but mostly in Cuba. Both populations experienced compression of mortality as lifespan variation decreased markedly, primarily due to postponement of early deaths. Given the different starting point in the mid-1900s and living conditions for Cubans and Danes, health status achieved among Cubans is striking. A rapidly ageing population is challenging both countries, but Cuban health and welfare are further burdened by a deteriorating economy in recent decades.

Indexed as

Access to careAge-at-death distributionLife expectancyLifespan variationMortalityWelfare policy

Identifiers

PMID36970714
PMCPMC10023218

What OpenQuestion holds

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Registered trials

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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.