Evidence map›Paper›PMID 34983576›Full record

ArticlePopulation health metrics2022

On the measurement of healthy lifespan inequality.

Iñaki Permanyer, Jeroen Spijker, Amand Blanes

Abstract read
In one paragraph

Article in Population health metrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Incidence and prevalence of kidney replacement therapy in Central and Eastern Europe-trends from the ERA Registry.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
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  7. Sex and age differences in self-reported immune fitness.Brain, behavior, & immunity - health · 2024
    Article
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  9. Review
  10. Descent, marriage, and residence practices of a 3,800-year-old pastoral community in Central Eurasia.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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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 d'Estudis Demogràfics, Carrer de Ca n'Altayó, Edifici E-2, Campus de la UAB, 08193, Cerdanyola del Vallès, Spain. ipermanyer@ced.uab.es.ORCID 0000-0002-7051-5144
Jeroen SpijkerCentre d'Estudis Demogràfics, Carrer de Ca n'Altayó, Edifici E-2, Campus de la UAB, 08193, Cerdanyola del Vallès, Spain.
Amand BlanesCentre d'Estudis Demogràfics, Carrer de Ca n'Altayó, Edifici E-2, Campus de la UAB, 08193, Cerdanyola del Vallès, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent measures to monitor population health include indicators of (i) average length-of-life (life expectancy), (ii) average length-of-life spent in good health (health expectancy), and (iii) variability in length-of-life (lifespan inequality). What is lacking is an indicator measuring the extent to which healthy lifespans are unequally distributed across individuals (the so-called 'healthy lifespan inequality' indicators).

methodsWe combine information on age-specific survival with the prevalence of functional limitation or disability in Spain (2014-2017) by sex and level of education to estimate age-at-disability onset distributions. Age-, sex- and education-specific prevalence rates of adult individuals' daily activities limitations were based on the GALI index derived from Spanish National Health Surveys held in 2014 and 2017. We measured inequality using the Gini index.

resultsIn contemporary Spain, education differences in health expectancy are substantial and greatly exceed differences in life expectancy. The female advantage in life expectancy disappears when considering health expectancy indicators, both overall and across education groups. The highly educated exhibit lower levels of lifespan inequality, and lifespan inequality is systematically higher among men. Our new healthy lifespan inequality indicators suggest that the variability in the ages at which physical daily activity limitations start are substantially larger than the variability in the ages at which individuals die. Healthy lifespan inequality tends to decrease with increasing educational attainment, both for women and for men. The variability in ages at which physical limitations start is slightly higher for women than for men.

conclusionsThe suggested indicators uncover new layers of health inequality that are not traceable with currently existing approaches. Low-educated individuals tend to not only die earlier and spend a shorter portion of their lives in good health than their highly educated counterparts, but also face greater variation in the eventual time of death and in the age at which they cease enjoying good health-a multiple burden of inequality that should be taken into consideration when evaluating the performance of public health systems and in the elaboration of realistic working-life extension plans and the design of equitable pension reforms.

Indexed as

Health Status DisparitiesLongevityActivities of Daily LivingAdultEducational StatusFemaleHumansLife ExpectancyMaleEducationHealth expectancyLife expectancyLifespan inequalityPopulation health measuresSocio-economic inequalitySpain

Identifiers

PMID34983576
PMCPMC8725482

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LicenceCC BY
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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.