Evidence map›Paper›PMID 42721193›Full record

ArticlePLoS medicine2026

Country- and individual-level factors associated with healthy working life expectancy: A multinational longitudinal study.

Jingjie Zhu, Bo Ye, Zeyu Huang, Huazhen You, Junjia Jiang, Shitong Yang, Junling Gao

Abstract readMulticenter Study
In one paragraph

Article in PLoS medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jingjie ZhuSchool of Public Health, Fudan University, Shanghai, China.ORCID https://orcid.org/0009-0000-2872-7517
Bo YeHuadong Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-4088-5734
Zeyu HuangSchool of Public Health, Fudan University, Shanghai, China.
Huazhen YouSchool of Public Health, Fudan University, Shanghai, China.
Junjia JiangSchool of Public Health, Fudan University, Shanghai, China.
Shitong YangSchool of Public Health, Fudan University, Shanghai, China.
Junling GaoSchool of Public Health, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-0694-2010

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo address labor force shortages associated with population aging, many countries have proposed raising the retirement age. As health is an important determinant of employment outcomes among older workers, it is important in this context to understand the individual- and country-level factors associated with healthy working life expectancy (HWLE), defined as the average number of years individuals can expect to remain healthy and employed from age 50. METHODS AND

findingsThis is a multinational prospective cohort study, leveraging data from six health and retirement cohorts. The study included 79,833 men and 95,485 women aged ≥50 years from 28 countries. Individual-level factors included demographics, socioeconomic status, lifestyle factors, and chronic diseases. Country-level factors comprised economic (GDP per capita, health expenditure, tax revenue, Gini index, ease of doing business), employment (flexible working Arrangements, labor force participation, equal workforce opportunities, hiring and firing practices) and governance (effectiveness, corruption control, political stability) metrics sourced from the World Bank. HWLE was estimated using discrete-time Markov multi-state models. Among the total participants, at age 50, the total life expectancy (TLE) was 33.59 years (95% CI [33.49, 33.69]), of which 10.98 years (95% CI [10.87, 11.08]) were HWLE. HWLE among women(9.82 years, 95% CI [9.68, 9.97]) was shorter than HWLE among men(12.36 years, 95% CI [12.22, 12.50]). Marriage, higher education, and healthy lifestyles were associated with longer HWLE, while chronic diseases reduced HWLE, with stroke showing the greatest reduction of 5.49 years (95% CI [4.94,6.04]). At the country level, higher health expenditures, GDP per capita, and tax revenue were associated with longer HWLE. Greater governance effectiveness, corruption control, and ease of doing business were associated with longer HWLE, whereas higher Gini index and political instability were associated with shorter HWLE. Higher levels of flexible working arrangements, labor force participation, equal workforce opportunities, and more favorable hiring and firing practices were consistently associated with longer HWLE and nHWLE and shorter nHnWLE. The main limitations were differences in follow-up periods across cohorts, relatively small samples in some countries, and incomplete global coverage, which may limit cross-country comparability and generalizability.

conclusionsIn this multinational cohort, the findings revealed the associations of individual- and country-level factors with healthy working lives, underscoring the necessity for measures aimed at extending healthy working lives to align with country-specific social, economic and employment contexts. Besides, interventions targeting individual modifiable risk factors should be warranted through life-course.

Indexed as

EmploymentHealthy Life ExpectancyLife ExpectancyFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesRetirementSocioeconomic Factors

Identifiers

PMID42721193
PMCPMC13561363

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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.