Evidence map›Paper›PMID 40153354›Full record

ArticleAmerican journal of epidemiology2026

Changing educational attainment as a driver of cohort changes in healthy longevity: a decomposition analysis of US birth cohorts.

Tianyu Shen, Alyson van Raalte, Collin F Payne

Abstract read
In one paragraph

Article in American journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Tianyu ShenVienna Institute of Demography, Austrian Academy of Sciences, Vienna, Austria.ORCID 0000-0002-9954-1709
Alyson van RaalteMax Planck-University of Helsinki Center for Social Inequalities in Population Health (MaxHel Center), Rostock, Germany and Helsinki, Finland.ORCID 0000-0002-0676-8921
Collin F PayneSchool of Demography, Australian National University, Canberra, Australia.ORCID 0000-0002-3061-1609

Funding

Australian Research Council DE210100087
6 · The paper itself

Abstract

An anticipated health boost from the increasing educational attainment of the US population has not materialized, with life expectancy and healthy longevity both stagnating over the past decade. We seek to understand how changes in the level of educational attainment across successive birth cohorts in the United States have impacted disability-free life expectancy (DFLE) among older Americans. We analyze data from the US Health and Retirement Study spanning 2000 to 2020, focusing on four consecutive 10-year birth cohorts. We then decompose changes in population-level expectancies into contributions from shifts in educational composition, health status at midlife, and health and mortality transitions at older ages across different educational groups. Disability-free life expectancy increased notably for females but not for males, with disabled life expectancy (DLE) remaining stable. Shifts in educational composition primarily drove increases in DFLE and total life expectancy. However, deteriorating midlife health among those without a high school diploma reduced DFLE for this group, which tempered overall population-level gains. Health and mortality transitions among the less educated contributed to increased DLE. Our findings show that educational attainment is a major structural factor influencing the US population's health. Expanding access to higher education and reducing education inequality will play a significant role in future changes to healthy longevity.

Indexed as

Educational StatusLife ExpectancyLongevityAgedAged, 80 and overBirth CohortFemaleHealth StatusHumansMaleMiddle AgedUnited Statesdecompositiondisability-free life expectancyeducation compositionhealth and agingmultistate life table

Identifiers

PMID40153354
PMCPMC13149017

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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.