Evidence map›Paper›PMID 37027116›Full record

ArticleEuropean journal of epidemiology2023

Healthy lifespan inequality: morbidity compression from a global perspective.

Iñaki Permanyer, Francisco Villavicencio, Sergi Trias-Llimós

Abstract read
In one paragraph

Article in European journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

3 authors.

Iñaki PermanyerCentre for Demographic Studies, Centres de Recerca de Catalunya (CERCA), Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain. ipermanyer@ced.uab.es.ORCID http://orcid.org/0000-0002-7051-5144
Francisco VillavicencioDepartment of Economic, Financial and Actuarial Mathematics, University of Barcelona, Barcelona, Spain.ORCID http://orcid.org/0000-0003-3951-7341
Sergi Trias-LlimósCentre for Demographic Studies, Centres de Recerca de Catalunya (CERCA), Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.ORCID http://orcid.org/0000-0002-8052-6736

Funding

H2020 European Research Council 2019-CoG-864616Ministerio de Ciencia e Innovación FJC2019-039314-IMinisterio de Ciencia e Innovación IJC2019-039144-IMinisterio de Ciencia e Innovación PID2021-128892OB-I00
6 · The paper itself

Abstract

Current measures of population health lack indicators capturing the variability in age-at-morbidity onset, an important marker to assess the timing patterns of individuals' health deterioration and evaluate the compression of morbidity. We provide global, regional, and national estimates of the variability in morbidity onset from 1990 to 2019 using indicators of healthy lifespan inequality (HLI). Using data from the Global Burden of Disease Study 2019, we reconstruct age-at-death distributions to calculate lifespan inequality (LI), and age-at-morbidity onset distributions to calculate HLI. We measure LI and HLI with the standard deviation. Between 1990 and 2019, global HLI decreased from 24.74 years to 21.92, and has been decreasing in all regions except in high-income countries, where it has remained stable. Countries with high HLI are more present in sub-Saharan Africa and south Asia, whereas low HLI values are predominant in high-income countries and central and eastern Europe. HLI tends to be higher for females than for males, and HLI tends to be higher than LI. Globally, between 1990 and 2019 HLI at age 65 increased from 6.83 years to 7.44 for females, and from 6.23 to 6.96 for males. Improvements in longevity are not necessarily accompanied by further reductions in HLI among longevity vanguard countries. Morbidity is compressing, except in high-income countries, where it stagnates. The variability in the ages at morbidity onset tends to be larger than the variability in lifespans, and such divergence broadens over time. As longevity increases worldwide, the locus of health inequality is moving from death-related inequalities to disease- and disability-centered ones.

Indexed as

Health Status DisparitiesHealthy Life ExpectancyLongevityAgedFemaleGlobal HealthHumansMaleMorbidityAgeingHealth inequalitiesLongevityMorbidityPopulation health indicators

Identifiers

PMID37027116
PMCPMC10080172

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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.