ArticleMilitary medicine2025
Comparing Veteran and Nonveteran Epigenetic Aging in a Representative Sample of United States Adults.
Article in Military medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Five Milestones to Addressing Rural Veteran Care Coordination, Care Management, and Case Management Needs: An Integrated Case Management Practice Framework.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
introductionMilitary service can significantly impact human health, with research showing that veterans experience higher mortality rates than the general population. However, limited data exist on the relationships of veteran status with biomarkers of aging that may precede clinical illness and mortality.
methodsUsing survey-design weighted generalized linear regression models, we examined the cross-sectional relationship of self-reported veteran status with DNA methylation (DNAm)-based biomarkers of aging (epigenetic age) in a representative sample of 2344 U.S. adults participating in the 1999-2000 and 2001-2002 cycles of the National Health and Nutrition Examination Survey. We tested 7 epigenetic aging markers: HannumAge, HorvathAge, SkinBloodAge, PhenoAge, GrimAge2, DNAm Telomere Length (TL), and DunedinPoAm.
resultsAfter adjusting for basic demographics, veterans had marginally greater SkinBloodAge (β = 0.86 years, 95% CI: -0.10, 1.81, P = .08) and GrimAge2 (β = 0.71 years, 95% CI: -0.07, 1.49, P = .07) measures when compared to nonveterans. Similar SkinBloodAge (β = 1.00 years, 95% CI: -0.01, 2.00, P = .05) and GrimAge2 (β = 0.69 years, 95% CI: -0.14, 1.52, P = .09) relationships were observed in fully-adjusted models where missing health and lifestyle covariates were imputed. Compared to nonveterans, veterans also had higher DNAm-estimated blood levels of GrimAge2-components hemoglobin A1c (β = 0.006, 95% CI: 0.0005, 0.01, P = .03) and protein TIMP1 (β = 71.14, 95% CI: 8.28, 134.01, P = .03) in basic demographic-adjusted models. In fully-adjusted imputed models (β = 96.40, 95% CI: -15.05, 207.85, P = .08) and complete case models (β = 98.66, 95% CI: -25.24, 222.55, P = .099), the TIMP1 relationships remained marginally significant.
conclusionsOur marginal results support existing veteran morbidity and mortality literature while suggesting a modest utility of epigenetic aging biomarkers for further understanding veteran health. As veterans represent an important subset of the population and are a priority in federal government budgets, future research in this area holds the potential for significant public health and policy impact.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.