Evidence map›Paper›PMID 42706881›Full record

ArticleAmerican journal of epidemiology2026

Cumulative layoffs in adulthood and cognitive function in mid-to-later life among US working-age adults, 1979-2020.

Xuexin Yu, Katrina L Kezios, Antonio J Bustillo, Martine Elbejjani, Allison E Aiello, Adina Zeki Al Hazzouri

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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xuexin YuDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.ORCID 0000-0002-6484-6035
Katrina L KeziosDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, United States.ORCID 0000-0001-7115-032X
Antonio J BustilloDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.ORCID 0000-0002-9115-7382
Martine ElbejjaniClinical Research Institute, Department of Internal Medicine, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
Allison E AielloDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.
Adina Zeki Al HazzouriDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.ORCID 0000-0002-6006-321X

Funding

Preventing Increased Alzheimer's Disease and Dementia risk stemming from layoffs during working yearsK99AG100795 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Xuexin Yu · 2026 to 2026
$132k
NIA NIH HHS K99 AG100795
6 · The paper itself

Abstract

As one of the most disruptive life events, layoffs are pervasive in the US labor market, while little is known about cumulative layoff experience across adulthood in relation to subsequent cognitive function. We investigated the association between cumulative layoffs spanning over 41 years of adulthood and subsequent domain-specific cognition among US working-age adults. Data were from 6421 adults in National Longitudinal Survey of Youth 1979. Cumulative layoff experience was defined as the number of jobs ending in a layoff from 1979-2020: zero (never, n = 4503), one (n = 1402), and ≥ two (n = 516). Domain-specific latent cognitive factor scores were assessed in 2020 using confirmatory factor analysis. Multivariable-adjusted linear regression models were fit to investigate the association of interest. Results suggest that cumulative layoff experience was associated with lower latent factor scores in episodic memory (β = -0.045, 95% CI: -0.100 to 0.010, one layoff vs. never; β = -0.086, 95% CI: -0.171 to -0.001, ≥two layoffs vs. never; P trend 0.037), but not in attention, orientation, or language domains. Given its ubiquity in the US labor market, layoffs may represent an important and understudied risk factor for episodic memory function among US adults.

Indexed as

cognitive functionemploymentlayoffsthe United Statesworking-age adults

Identifiers

PMID42706881
PMCPMC13693561

What OpenQuestion holds

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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.