Evidence map›Paper›PMID 41263830›Full record

ArticleBMJ open2025

Gender gaps in healthy life expectancy as indicators of inequality for disability and chronic disease: cross-sectional evidence from 24 countries, years 2014-2019.

Vanessa Di Lego, Marília R Nepomuceno, Cassio M Turra

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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.

Vanessa Di LegoDemography, Cedeplar, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID http://orcid.org/0000-0002-1317-3037
Marília R NepomucenoDigital and Computational Demography, Max Planck Institute for Demographic Research, Rostock, Germany nepomuceno@demogr.mpg.de.ORCID http://orcid.org/0000-0002-5687-5776
Cassio M TurraDemography, Cedeplar, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Leveraging a natural experiment to estimate the causal impact of blood sugar on dementia and cognition in IndiaR01AG051125 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jinkook Lee · 2015 to 2026
$26.8M
The Mexican Health and Aging Study - IIR01AG018016 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Rebeca Wong · 1999 to 2026
$22.6M
The Longitudinal Aging Study in IndiaR01AG042778 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI AROKIASAMY, PERIANAYAGAM, BLOOM, DAVID E · 2013 to 2019
$9.0M
Enhancing the Comparability of SHARE with HRS and ELSAR01AG052527 · NIA · MAX PLANCK INST/SOCIAL LAW/SOCIAL POLICY · PI BOERSCH-SUPAN, AXEL H · 2016 to 2020
$2.1M
Mega Meta Data Set of the Health and Retirement Surveys Around the WorldRC2AG036619 · NIA · RAND CORPORATION · PI KAPTEYN, ARIE · 2009 to 2010
$2.0M
Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaR03AG043052 · NIA · RAND CORPORATION · PI LEE, JINKOOK · 2012 to 2012
$95k
NIA NIH HHS HHSN271201300071CNIA NIH HHS R01 AG018016NIA NIH HHS R01 AG030153NIA NIH HHS R01 AG042778NIA NIH HHS R01 AG051125NIA NIH HHS R01 AG052527NIA NIH HHS R03 AG043052NIA NIH HHS RC2 AG036619
6 · The paper itself

Abstract

objectiveGender gaps in healthy life expectancy are frequently used as indicators of health inequality between women and men. However, total gaps can be misleading-masking critical disparities such as women living longer yet spending more years with disability or illness, or men experiencing premature mortality. We therefore critically evaluate whether these gaps accurately capture gender-based health.

designWe estimate gender gaps in disability- and chronic disease-free life expectancy using the Sullivan method and decompose those gaps via the continuous-change approach to distinguish mortality from morbidity contributions. Data are drawn from the harmonised Gateway to Global Aging Data and the UN life tables from the 2022 Revision of World Population Prospects for all countries, except England, where the life tables are from the UK Office for National Statistics.

settingThe analysis is performed on 24 countries and regions, including the USA, England, South Korea, China, India, Mexico and 19 European Union countries for the years 2014-2015 and 2017-2019 (N=201 723).

main outcome measuresThe main outcomes are gender gaps in disability- and chronic disease-free life expectancy and the contribution of mortality and health in explaining the gender gap.

resultsGender gaps in disability-free life expectancy ranged from -0.37 years (Portugal) to almost 5 years (South Korea), with most European countries showing female advantages of 3.0-3.5 years, while minimal gaps were observed in China, Mexico and India (0.4-0.9 years). Decomposition revealed striking inconsistencies between total gaps and underlying components-South Korea's 4.9-year gap reflected a survival advantage outweighing disability disadvantage by 13-fold, while Portugal's -0.37-year gap masked opposing contributions (mortality: +2.3; disability: -2.7). Chronic disease-free life expectancy showed female disadvantage in most countries, especially Portugal (-2.3), Korea (-1.6) and Mexico (-1.9).

conclusionsUsing gender gaps in healthy life expectancy as a metric for gender inequality in health is misleading. Countries with very different levels of development, healthcare systems and gender roles can have similar gender gaps, but substantial differences in the levels of mortality and health. Because these gaps mask important underlying differences in health and mortality between women and men, caution is warranted when using them.

Indexed as

Health Status DisparitiesLife ExpectancyPersons with DisabilitiesAgedChronic DiseaseCross-Sectional StudiesEnglandFemaleGlobal HealthHumansIndiaMaleMexicoMiddle AgedSex FactorsUnited StatesAgingHealth EquityHealth SurveysMortality

Identifiers

PMID41263830
PMCPMC12636968

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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.