Evidence map›Paper›PMID 41701154›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2026

Early life adversity, educational attainment, and cardiometabolic risk among middle-aged and older adults in the United States.

Catherine García, Ying Xu, Morgan A Parella

Abstract read
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Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 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

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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

3 authors.

Catherine GarcíaDepartment of Human Development and Family Science, Aging Studies Institute, Syracuse University, Syracuse, New York, United States.ORCID 0000-0002-9351-1955
Ying XuDepartment of Human Development and Family Science, Aging Studies Institute, Syracuse University, Syracuse, New York, United States.
Morgan A ParellaDepartment of Human Development and Family Science, Aging Studies Institute, Syracuse University, Syracuse, New York, United States.

Funding

Center for Aging and Policy Studies (CAPS) Core D: External Research Resources Support and Dissemination CoreP30AG066583 · NIA · SYRACUSE UNIVERSITY · PI MONTEZ, JENNIFER KARAS · 2020 to 2024
$2.1M
National Institute on Aging of the National Institutes of Health L30AG074407National Institute on Aging of the National Institutes of Health P30AG066583NIA NIH HHS P30 AG066583Syracuse University's SOURCE
6 · The paper itself

Abstract

backgroundEarly life adversity (ELA) is a known contributor to physiological dysregulation and chronic disease in adulthood. However, less is known about how specific ELA domains influence cardiometabolic dysregulation later in life, or whether these associations vary by race/ethnicity and educational attainment.

methodsWe used nationally representative data from the 2006-2016 Health and Retirement Study (n = 19 747 adults aged > 50) to estimate generalized linear models assessing associations between 5 ELA domains and cardiometabolic risk scores (cMetS). Models were stratified by race/ethnicity (foreign-born Latino, US-born Latino, non-Latino Black, non-Latino White) and adjusted for demographic, lifestyle, medication, and socioeconomic covariates. Interaction terms tested whether educational attainment moderated these associations.

resultsChildhood socioeconomic disadvantage was associated with higher cMetS in the full sample and among foreign-born Latino and non-Latino White adults, but not among US-born Latino or non-Latino Black adults. Among individuals exposed to early adversity, educational attainment was associated with lower cMetS, although educational gradients varied by race/ethnicity. Non-Latino White adults demonstrated consistent educational protection across all adversity domains. Non-Latino Black adults showed educational buffering limited to childhood socioeconomic disadvantage and disruptive home environments. Among foreign-born Latinos, educational gradients were observed specifically for childhood socioeconomic disadvantage. US-born Latinos showed no statistically significant educational buffering.

conclusionsEarly socioeconomic disadvantage has enduring effects on cardiometabolic health, and education can buffer these effects. However, education's protective capacity varies across populations. Addressing life course adversity in aging populations requires attention to both early disadvantage and social contexts that determine who can translate educational achievements into health benefits.

Indexed as

Adverse Childhood ExperiencesCardiometabolic Risk FactorsCardiovascular DiseasesEducational StatusAgedBlack or African AmericanFemaleHispanic or LatinoHumansLow Socioeconomic StatusMaleMiddle AgedSocioeconomic Disparities in HealthUnited StatesWhiteBiomarkersHealth and Retirement StudyHealth disparitiesMinority agingSocioeconomic issues

Identifiers

PMID41701154
PMCPMC13164129

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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.