Evidence map›Paper›PMID 39073814›Full record

ArticleJAMA network open2024

Socioeconomic Status, Lifestyle, and DNA Methylation Age Among Racially and Ethnically Diverse Adults: NIMHD Social Epigenomics Program.

Alika K Maunakea, Krit Phankitnirundorn, Rafael Peres, Christian Dye, Ruben Juarez, Catherine Walsh, Connor Slavens, S Lani Park, Lynne R Wilkens, Loïc Le Marchand

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

10 authors.

Alika K MaunakeaDepartment of Anatomy, Biochemistry, and Physiology, University of Hawaii at Manoa, John A. Burns School of Medicine, Honolulu.
Krit PhankitnirundornDepartment of Anatomy, Biochemistry, and Physiology, University of Hawaii at Manoa, John A. Burns School of Medicine, Honolulu.
Rafael PeresDepartment of Anatomy, Biochemistry, and Physiology, University of Hawaii at Manoa, John A. Burns School of Medicine, Honolulu.
Christian DyeDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York.
Ruben JuarezDepartment of Economics, University of Hawaii at Manoa, Honolulu.
Catherine WalshEpidemiology Program, University of Hawaii Cancer Center, Honolulu.
Connor SlavensDepartment of Anatomy, Biochemistry, and Physiology, University of Hawaii at Manoa, John A. Burns School of Medicine, Honolulu.
S Lani ParkEpidemiology Program, University of Hawaii Cancer Center, Honolulu.
Lynne R WilkensEpidemiology Program, University of Hawaii Cancer Center, Honolulu.
Loïc Le MarchandEpidemiology Program, University of Hawaii Cancer Center, Honolulu.

Funding

The Role of gp120 on Cardiovascular Disease in People Living with HIVU54MD007601 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI JoAnn Umilani Tsark · 2017 to 2026
$59.5M
Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
CARDIOVASCULAR BEHAVIORAL MEDICINE RESEARCH TRAININGT32HL007560 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Peter J Gianaros, REBECCA C THURSTON · 1985 to 2026
$11.3M
Training in Cardiovascular Research at the University of HawaiiT32HL115505 · NHLBI · UNIVERSITY OF HAWAII AT MANOA · PI Michelle D Tallquist · 2012 to 2026
$3.8M
Socioecological Determinants of Immunoepigenetic Signatures of Diabetes Risk in Indigenous CommunitiesR01MD016593 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI MAUNAKEA, ALIKA KEOLAOKALANI · 2021 to 2025
$3.3M
Multidisciplinary Training in Ethnic Diversity and Cancer DisparitiesT32CA229110 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2019 to 2023
$2.1M
NCI NIH HHS T32 CA229110NCI NIH HHS U01 CA164973NHLBI NIH HHS T32 HL007560NHLBI NIH HHS T32 HL115505NIMHD NIH HHS R01 MD016593NIMHD NIH HHS U54 MD007601
6 · The paper itself

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.

Indexed as

DNA MethylationLife StyleSocial ClassAgedAgingAsianCohort StudiesEpigenomicsEthnicityFemaleHawaiiHumansMaleMiddle AgedNative Hawaiian or Pacific IslanderWhite

Identifiers

PMID39073814
PMCPMC11287425

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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.