Evidence map›Paper›PMID 42345035›Full record

ArticlePopulation research and policy review2026

Changes in the Education-Health Gradient Within U.S. States, 1993-2019.

Jennifer Karas Montez, Iliya Gutin, Julia M Finan, Anna Zajacova, Scott Landes

Abstract read
In one paragraph

Article in Population research and policy review, 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

5 authors.

Jennifer Karas MontezSyracuse University, Syracuse, USA.
Iliya GutinSyracuse University, Syracuse, USA.
Julia M FinanSyracuse University, Syracuse, USA.
Anna ZajacovaWestern University, London, Canada.
Scott LandesSyracuse University, Syracuse, USA.

Funding

Educational Attainment, Geography, and U.S. Adult Mortality RiskR01AG055481 · NIA · SYRACUSE UNIVERSITY · PI MONTEZ, JENNIFER KARAS · 2017 to 2021
$1.7M
NIA NIH HHS R01 AG055481
6 · The paper itself

Abstract

The association between educational attainment and health (i.e., the education-health gradient) among U.S. adults has strengthened in recent decades; however, explanations for this trend are incomplete. This study builds on recent work showing that the strength of the gradient differs across U.S. states. We asked, how and why has the gradient changed over time in each U.S. state? Using 27 years of cross-sectional data from the 1993-2019 Behavioral Risk Factor Surveillance System on adults ages 30-64 years, we estimated how the association between educational attainment and self-rated health changed over time in each state. We also assessed the contribution of six individual-level factors, such as adults' income, and three state-level contextual factors, such educational composition and policy context, to changes in the association in each state. The gradient increased significantly in 49 of the 50 states during the period, but the magnitude of the increase differed notably by state. In most states, the largest single contributor to the increasing gradient was household income. Adults' employment and obesity also contributed to the increasing gradient to varying degrees in many states, while smoking suppressed the increase in the gradient in over half of states. The state-level contextual factors contributed little to the increasing gradient. The findings underscore the value of a subnational focus for explaining and potentially reversing the growth in the education-health gradient. Supplementary Information: The online version contains supplementary material available at 10.1007/s11113-026-10020-8.

Indexed as

DisparitiesEducationGradientHealthU.S. States

Identifiers

PMID42345035
PMCPMC13287250

What OpenQuestion holds

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Registered trials

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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.