Evidence map›Paper›PMID 40156883›Full record

ArticleAge and ageing2025

Sex and education differences in trajectories of physiological ageing: longitudinal analysis of a prospective English cohort study.

Mikaela Bloomberg, Andrew Steptoe

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Article in Age and ageing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Mikaela BloombergDepartment of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, Greater London WC1E 7HB, UK.ORCID 0000-0003-2453-6283
Andrew SteptoeDepartment of Behavioural Science and Health, University College London, 1-19 Torrington Place, London, Greater London WC1E 7HB, UK.ORCID 0000-0001-7808-4943

Funding

Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
Economic and Social Research Council ES/T014091/1National Institute on Ageing R01AG017644NIA NIH HHS R01 AG017644
6 · The paper itself

Abstract

backgroundPhysiological age (PA) derived from clinical indicators including blood-based biomarkers and tests of physiological function can be compared with chronological age to examine disparities in health between older adults of the same age. Though education interacts with sex to lead to inequalities in healthy ageing, their combined influence on longitudinally measured PA has not been explored. We derived PA based on longitudinally measured clinical indicators and examined how sex and education interact to inform PA trajectories.

methodsThree waves of clinical indicators (2004/05-2012/13) drawn from the English Longitudinal Study of Ageing (ages 50-100 years) were used to estimate PA, which was internally validated by confirming associations with incident chronic conditions, functional limitations and memory impairment after adjustment for chronological age and sex. Joint models were used to construct PA trajectories in 8891 English Longitudinal Study of Ageing participants to examine sex and educational disparities in PA.

findingsAmongst the least educated participants, there were negligible sex differences in PA until age 60 (sex difference [men-women] age 50 = -0.6 years [95% confidence interval = -2.2 to 0.6]; age 60 = 0.4 [-0.6 to 1.4]); at age 70, women were 1.5 years (0.7-2.2) older than men. Amongst the most educated participants, women were 3.8 years (1.6-6.0) younger than men at age 50 and 2.7 years (0.4-5.0) younger at age 60, with a nonsignificant sex difference at age 70.

interpretationHigher education provides a larger midlife buffer to physiological ageing for women than men. Policies to promote gender equity in higher education may contribute to improving women's health across a range of ageing-related outcomes.

Indexed as

AgingEducational StatusHealth Status DisparitiesHealthy AgingAgedAged, 80 and overAge FactorsEnglandFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesRisk FactorsSex Factorsbiological ageingolder peoplephenotypic ageingphysiological ageingsex differencessocioeconomic inequalities

Identifiers

PMID40156883
PMCPMC11954548

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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.