Evidence map›Paper›PMID 40386443›Full record

ArticleSSM - population health2025

Health insurance and epigenetic aging: Trends in a United States adult population.

Jamaji C Nwanaji-Enwerem, Dennis Khodasevich, Nicole Gladish, Hanyang Shen, Saher Daredia, Belinda L Needham, David H Rehkopf, Andres Cardenas

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in SSM - population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Jamaji C Nwanaji-EnweremDepartment of Emergency Medicine, Center for Health Justice, and Center of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Dennis KhodasevichDepartment of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA.
Nicole GladishDepartment of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA.
Hanyang ShenDepartment of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA.
Saher DarediaDivision of Epidemiology, UC Berkeley School of Public Health, Berkeley, CA, USA.
Belinda L NeedhamDepartment of Epidemiology, Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, Ann Arbor, MI, USA.
David H RehkopfDepartment of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA.
Andres CardenasDepartment of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA.

Funding

Race/Ethnicity, DNA Methylation, and Disparities in Cardiovascular Mortality: NHANES 1999-2002R01MD011721 · NIMHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NEEDHAM, BELINDA L., REHKOPF, DAVID H · 2017 to 2021
$3.1M
NIMHD NIH HHS R01 MD011721
6 · The paper itself

Abstract

Background: Health insurance plays an important role in reducing morbidity and mortality. Still, there is limited data examining the relationships of health insurance with biomarkers of aging that reflect morbidity and mortality risk. Methods: We conducted a cross-sectional study of United States adults using data from the National Health and Nutrition Examination Survey (NHANES) to examine the relationships of health insurance with seven DNA methylation-based biomarkers of aging (epigenetic age): HannumAge, HorvathAge, SkinBloodAge, PhenoAge, GrimAge2, DNAm Telomere Length, and DunedinPoAm. Results: Our analyses included 2315 participants with available health insurance and epigenetic aging data (mean [sd] age, 65.1 [9.3] years). Compared to the uninsured, having health insurance was associated with a 2.25-year lower GrimAge2 (95 %CI: -3.49, -1.02, Conclusion: Our findings suggest that epigenetic aging measures may be useful for examining the relationship between health insurance and population health, with potential implications for policy decisions.

Indexed as

CHIPDental insuranceDNA methylation ageMedicaidMedicare

Identifiers

PMID40386443
PMCPMC12084071

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.