ArticleJAMA network open2024
Socioeconomic Status, Lifestyle, and DNA Methylation Age Among Racially and Ethnically Diverse Adults: NIMHD Social Epigenomics Program.
Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Epigenetic Age Acceleration as a Modifiable Public Health Target: A Systematic Review and Meta-Analysis of Environmental, Behavioral, and Social Determinants with Development of the MEAB-Index.International journal of molecular sciences · 2026Pooled it
- Revisiting the relationship between cardiorespiratory fitness and biological aging: insights from DunedinPACE analysis.GeroScience · 2026Article
- Population epigenetics: deciphering DNA methylation diversity and its implications for health, disease, and evolution.Molecular biology and evolution · 2026Review
- Dietary intake and epigenetic aging in an African population: food groups, dietary patterns, and plant-based diets in the RODAM study.BMC medicine · 2026Article
- Physical Fitness Is Negatively Associated With DNA Methylation-Based Risk of Aging-Related Diseases.Aging cell · 2026Article
- Lower diet quality accelerates DNA methylation-based age.GeroScience · 2026Article
- Considerations for study design and analysis for ethically and culturally safe DNA methylation research in Aotearoa New Zealand.SSM - population health · 2026Article
- Replicated evidence for an accelerated rate of whole-body aging in schizophrenia.Psychological medicine · 2026Article
- Food insecurity, epigenetic age acceleration, and depression in middle-aged and older adults: a longitudinal cohort study.Frontiers in nutrition · 2026Article
- Evaluating the Impact of a Specialized Inpatient Geriatric Unit Amongst an Asian and Pacific Islander Population: A Pilot Study.Hawai'i journal of health & social welfare · 2026Article
- Environmental exposures and epigenetic alterations in common chronic diseases: insights and challenges.Environmental epigenetics · 2026Review
- Validation of a data-driven clustering model for MASLD: Evidence from three large-scale Asian cohorts.JHEP reports : innovation in hepatology · 2026Article
- Social determinants of health, accelerated biological aging, and long-term health outcomes.Nature communications · 2025Article
- Differential blood DNA methylation loci between Native Hawaiian and White women are associated with dietary patterns and metabolic biomarkers.Scientific reports · 2025Article
- Common DNA sequence variation influences epigenetic aging in African populations.Communications biology · 2025Article
- What's counted counts: the implications of underrepresentation for the application of epigenetic clocks in diverse populations.Clinical epigenetics · 2025Review
- Associations among prenatal stress, socioeconomic status, and infant epigenetic aging.Psychoneuroendocrinology · 2025Article
- Work-related stress and burnout: Is epigenetic aging the missing link?Clinical epigenetics · 2025Article
- The Gut Microbiome and Epigenomic Reprogramming: Mechanisms, Interactions, and Implications for Human Health and Disease.International journal of molecular sciences · 2025Review
- Relationship between physical activity and DNA methylation-predicted epigenetic clocks.npj aging · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Importance: Variation in DNA methylation at specific loci estimates biological age, which is associated with morbidity, mortality, and social experiences. Aging estimates known as epigenetic clocks, including the Dunedin Pace of Aging Calculated From the Epigenome (DunedinPACE), were trained on data predominately from individuals of European ancestry; however, limited research has explored DunedinPACE in underrepresented populations experiencing health disparities. Objective: To investigate associations of neighborhood and individual sociobehavioral factors with biological aging in a racially and ethnically diverse population. Design, Setting, and Participants: This cohort study, part of the Multiethnic Cohort study conducted from May 1993 to September 1996 to examine racial and ethnic disparities in chronic diseases, integrated biospecimen and self-reported data collected between April 2004 and November 2005 from healthy Hawaii residents aged 45 to 76 years. These participants self-identified as of Japanese American, Native Hawaiian, or White racial and ethnic background. Data were analyzed from January 2022 to May 2024. Main Outcomes and Measures: DNA methylation data were generated from monocytes enriched from cryopreserved lymphocytes and used to derive DunedinPACE scores from November 2017 to June 2021. Neighborhood social economic status (NSES) was estimated from 1990 US Census Bureau data to include factors such as educational level, occupation, and income. Individual-level factors analyzed included educational level, body mass index (BMI), physical activity (PA), and diet quality measured by the Healthy Eating Index (HEI). Linear regression analysis of DunedinPACE scores was used to examine their associations with NSES and sociobehavioral variables. Results: A total of 376 participants were included (113 [30.1%] Japanese American, 144 [38.3%] Native Hawaiian, and 119 [31.6%] White; 189 [50.3%] were female). Mean (SE) age was 57.81 (0.38) years. Overall, mean (SE) DunedinPACE scores were significantly higher among females than among males (1.28 [0.01] vs 1.25 [0.01]; P = .005); correlated negatively with NSES (R = -0.09; P = .08), HEI (R = -0.11; P = .03), and educational attainment (R = -0.15; P = .003) and positively with BMI (R = 0.31; P < .001); and varied by race and ethnicity. Native Hawaiian participants exhibited a higher mean (SE) DunedinPACE score (1.31 [0.01]) compared with Japanese American (1.25 [0.01]; P < .001) or White (1.22 [0.01]; P < .001) participants. Controlling for age, sex, HEI, BMI, and NSES, linear regression analyses revealed a negative association between educational level and DunedinPACE score among Japanese American (β, -0.005 [95% CI, -0.013 to 0.002]; P = .03) and Native Hawaiian (β, -0.003 [95% CI, -0.011 to 0.005]; P = .08) participants, yet this association was positive among White participants (β, 0.007; 95% CI, -0.001 to 0.015; P = .09). Moderate to vigorous PA was associated with lower DunedinPACE scores only among Native Hawaiian participants (β, -0.006; 95% CI, -0.011 to -0.001; P = .005), independent of NSES. Conclusions and Relevance: In this study of a racially and ethnically diverse sample of 376 adults, low NSES was associated with a higher rate of biological aging measured by DunedinPACE score, yet individual-level factors such as educational level and physical activity affected this association, which varied by race and ethnicity. These findings support sociobehavioral interventions in addressing health inequities.
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