Jamaji C. Nwanaji-Enwerem , Dennis Khodasevich , Nicole Gladish , Hanyang Shen , Saher Daredia , Belinda L. Needham , David H. Rehkopf , Andres Cardenas
{"title":"Health insurance and epigenetic aging: Trends in a United States adult population","authors":"Jamaji C. Nwanaji-Enwerem , Dennis Khodasevich , Nicole Gladish , Hanyang Shen , Saher Daredia , Belinda L. Needham , David H. Rehkopf , Andres Cardenas","doi":"10.1016/j.ssmph.2025.101806","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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, <em>P</em> = 0.001) and a slower DunedinPoAm pace of aging (β = −0.04, 95 %CI: -0.06, −0.02, <em>P</em> < 0.001) in basic demographic-adjusted models. GrimAge2 (β = −1.42, 95 %CI: -2.75, −0.09, <em>P</em> = 0.04) and DunedinPoAm (β = −0.03, 95 %CI: -0.06, −0.01, <em>P</em> = 0.02) relationships were attenuated after additional adjustments for general health, body mass index (BMI), education, occupation, and poverty-to-income ratio. Model estimates were larger if insurance plans were more comprehensive and included dental coverage and/or single service plans. When considering categories of insurance, similar trends were observed with private insurance and public insurance plans (i.e. Medicare, Medicaid/CHIP, and other government plans), although private insurance relationships were more often statistically significant.</div></div><div><h3>Conclusion</h3><div>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.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"30 ","pages":"Article 101806"},"PeriodicalIF":3.6000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ssm-Population Health","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352827325000606","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
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, P = 0.001) and a slower DunedinPoAm pace of aging (β = −0.04, 95 %CI: -0.06, −0.02, P < 0.001) in basic demographic-adjusted models. GrimAge2 (β = −1.42, 95 %CI: -2.75, −0.09, P = 0.04) and DunedinPoAm (β = −0.03, 95 %CI: -0.06, −0.01, P = 0.02) relationships were attenuated after additional adjustments for general health, body mass index (BMI), education, occupation, and poverty-to-income ratio. Model estimates were larger if insurance plans were more comprehensive and included dental coverage and/or single service plans. When considering categories of insurance, similar trends were observed with private insurance and public insurance plans (i.e. Medicare, Medicaid/CHIP, and other government plans), although private insurance relationships were more often statistically significant.
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.
期刊介绍:
SSM - Population Health. The new online only, open access, peer reviewed journal in all areas relating Social Science research to population health. SSM - Population Health shares the same Editors-in Chief and general approach to manuscripts as its sister journal, Social Science & Medicine. The journal takes a broad approach to the field especially welcoming interdisciplinary papers from across the Social Sciences and allied areas. SSM - Population Health offers an alternative outlet for work which might not be considered, or is classed as ''out of scope'' elsewhere, and prioritizes fast peer review and publication to the benefit of authors and readers. The journal welcomes all types of paper from traditional primary research articles, replication studies, short communications, methodological studies, instrument validation, opinion pieces, literature reviews, etc. SSM - Population Health also offers the opportunity to publish special issues or sections to reflect current interest and research in topical or developing areas. The journal fully supports authors wanting to present their research in an innovative fashion though the use of multimedia formats.