Association between work characteristics and epigenetic age acceleration: cross-sectional results from UK - Understanding Society study.


Journal

Aging
ISSN: 1945-4589
Titre abrégé: Aging (Albany NY)
Pays: United States
ID NLM: 101508617

Informations de publication

Date de publication:
05 10 2022
Historique:
received: 20 05 2022
accepted: 17 09 2022
pubmed: 7 10 2022
medline: 22 10 2022
entrez: 6 10 2022
Statut: ppublish

Résumé

Occupation-related stress and work characteristics are possible determinants of social inequalities in epigenetic aging but have been little investigated. Here, we investigate the association of several work characteristics with epigenetic age acceleration (AA) biomarkers. The study population included employed and unemployed men and women (

Identifiants

pubmed: 36202116
pii: 204327
doi: 10.18632/aging.204327
pmc: PMC9596217
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

7752-7773

Subventions

Organisme : Medical Research Council
ID : MR/S03532X/1
Pays : United Kingdom

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Auteurs

Anna Freni-Sterrantino (A)

MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, United Kingdom.
The Alan Turing Institute, John Dodson House, London NW1 2DB, United Kingdom.

Giovanni Fiorito (G)

MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, United Kingdom.
Laboratory of Biostatistics, Department of Biomedical Sciences, University of Sassari, Sassari 07100, Italy.

Angelo d'Errico (A)

Department of Epidemiology, Local Health Unit TO 3, Turin 10095, Italy.

Marianna Virtanen (M)

School of Educational Sciences and Psychology, University of Eastern Finland, Joensuu FI-80101, Finland.
Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm 17177, Sweden.

Leena Ala-Mursula (L)

Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.

Marjo-Riitta Järvelin (MR)

MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, United Kingdom.
Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.

Paolo Vineis (P)

MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, United Kingdom.

Oliver Robinson (O)

MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, United Kingdom.
Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College of London, London W2 1PG, United Kingdom.

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Classifications MeSH