Imperial College London
Alternate

Prof Marc Chadeau-Hyam

Faculty of Medicine, School of Public Health

Professor of Computational Epidemiology and Biostatistics
 
 
 
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Contact

 

+44 (0)20 7594 1637m.chadeau

 
 
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Location

 

520Medical SchoolSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Petrovic:2023:10.1016/j.psyneuen.2022.105976,
author = {Petrovic, D and Carmeli, C and Sandoval, JL and Bodinier, B and Chadeau-Hyam, M and Schrempft, S and Ehret, G and Dhayat, NA and Ponte, B and Pruijm, M and Vineis, P and Gonseth-Nussle, S and Guessous, I and McCrory, C and Bochud, M and Stringhini, S},
doi = {10.1016/j.psyneuen.2022.105976},
journal = {Psychoneuroendocrinology},
pages = {1--10},
title = {Life-course socioeconomic factors are associated with markers of epigenetic aging in a population-based study},
url = {http://dx.doi.org/10.1016/j.psyneuen.2022.105976},
volume = {147},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Adverse socioeconomic circumstances negatively affect the functioning of biological systems, but the underlying mechanisms remain only partially understood. Here, we explore the associations between life-course socioeconomic factors and four markers of epigenetic aging in a population-based setting.We included 684 participants (52 % women, mean age 52.6 ± 15.5 years) from a population and family-based Swiss study. We used nine life-course socioeconomic indicators as the main exposure variables, and four blood-derived, second generation markers of epigenetic aging as the outcome variables (Levine’s DNAmPhenoAge, DunedinPoAm38, GrimAge epigenetic age acceleration (EAA), and the mortality risk score (MS)). First, we investigated the associations between socioeconomic indicators and markers of epigenetic aging via mixed-effect linear regression models, adjusting for age, sex, participant’s recruitment center, familial structure (random-effect covariate), seasonality of blood sampling, and technical covariates. Second, we implemented counterfactual mediation analysis to investigate life-course and intermediate mechanisms underlying the socioeconomic gradient in epigenetic aging. Effect-size estimates were assessed using regression coefficients and counterfactual mediation parameters, along with their respective 95 % confidence intervals.Individuals reporting a low father’s occupation, adverse financial conditions in childhood, a low income, having financial difficulties, or experiencing unfavorable socioeconomic trajectories were epigenetically older and had a higher mortality risk score than their more advantaged counterparts. Specifically, this corresponded to an average increase of 1.1–1.5 years for Levine’s epigenetic age (β and 95 %CI range, β (minimum and maximum): 1.1–1.5 95 %CI[0.0–0.2; 2.3–3.0]), 1.1–1.5 additional years for GrimAge (β: 1.1–1.5 95 %CI[0.2–0.6; 1.9–3.0])
AU  - Petrovic,D
AU  - Carmeli,C
AU  - Sandoval,JL
AU  - Bodinier,B
AU  - Chadeau-Hyam,M
AU  - Schrempft,S
AU  - Ehret,G
AU  - Dhayat,NA
AU  - Ponte,B
AU  - Pruijm,M
AU  - Vineis,P
AU  - Gonseth-Nussle,S
AU  - Guessous,I
AU  - McCrory,C
AU  - Bochud,M
AU  - Stringhini,S
DO  - 10.1016/j.psyneuen.2022.105976
EP  - 10
PY  - 2023///
SN  - 0306-4530
SP  - 1
TI  - Life-course socioeconomic factors are associated with markers of epigenetic aging in a population-based study
T2  - Psychoneuroendocrinology
UR  - http://dx.doi.org/10.1016/j.psyneuen.2022.105976
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000890474100001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR  - https://www.sciencedirect.com/science/article/pii/S0306453022003171?via%3Dihub
VL  - 147
ER  -
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