Evidence map›Paper›PMID 35113041›Full record

ArticleAging2022

Work-related stress and well-being in association with epigenetic age acceleration: A Northern Finland Birth Cohort 1966 Study.

Anna Freni-Sterrantino, Giovanni Fiorito, Angelo D'Errico, Oliver Robinson, Marianna Virtanen, Leena Ala-Mursula, Marjo-Riitta Järvelin, Justiina Ronkainen, Paolo Vineis

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% of its field
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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Quantification of Epigenetic Aging in Public Health.Annual review of public health · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. The Association of Physical Activity Behaviors and Patterns With Aging Acceleration: Evidence From the UK Biobank.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  15. Review
  16. Article
  17. Article
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

9 authors at 6 institutions in 4 countries.

Anna Freni-SterrantinoMRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, St Mary's Campus, London W2 1PG, United Kingdom.
Giovanni FioritoMRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, St Mary's Campus, London W2 1PG, United Kingdom.
Angelo D'ErricoDepartment of Epidemiology, Local Health Unit TO 3, Turin 10095, Italy.
Oliver RobinsonMRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, St Mary's Campus, London W2 1PG, United Kingdom.
Marianna VirtanenSchool of Educational Sciences and Psychology, University of Eastern Finland, Joensuu FI-80101, Finland.
Leena Ala-MursulaCenter for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.
Marjo-Riitta JärvelinMRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, St Mary's Campus, London W2 1PG, United Kingdom.
Justiina RonkainenCenter for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.
Paolo VineisMRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, St Mary's Campus, London W2 1PG, United Kingdom.
University of Oulu · FIMRC Centre for Environment and HealthImperial College London · GBItalian institute for Genomic Medicine · ITTorino e-district · ITUniversity of Eastern Finland · FI

Funding

Medical Research Council MR/S03532X/1
6 · The paper itself

Abstract

Recent evidence indicates consistent association of low socioeconomic status with epigenetic age acceleration, measured from DNA methylation. As work characteristics and job stressors are crucial components of socioeconomic status, we investigated their association with various measures of epigenetic age acceleration. The study population included employed and unemployed men and women (n=604) from the Northern Finland Birth Cohort 1966. We investigated the association of job strain, effort-reward imbalance and work characteristics with five biomarkers of epigenetic aging (Hannum, Horvath, PhenoAge, GrimAge, and DunedinPoAm). Our results indicate few significant associations between work stress indicators and epigenetic age acceleration, limited to a range of ±2 years, and smoking recording the highest effect on GrimAge age acceleration biomarker between current and no smokers (median difference 4.73 years (IQR 1.18, 8.41). PhenoAgeAA was associated with job strain active work (β=-1.301 95%CI -2.391, -0.212), slowing aging of less than 1.5 years, and working as white-collar slowed aging six months (GrimAgeAA β=-0.683, 95%CI -1.264, -0.102) when compared to blue collars. Association was found for working for more than 40 hours per week that increased the aging over 1.5 years, (HorvathAA β =2.058 95%CI 0.517,3.599, HannumAA β=1.567, 95%CI 0.415,2.719). The pattern of associations was different between women and men and some of the estimated effects are inconsistent with current literature. Our results provide the first evidence of association of work conditions with epigenetic aging biomarkers. However, further epidemiological research is needed to fully understand how work-related stress affects epigenetic age acceleration in men and women in different societies.

Indexed as

Birth CohortOccupational StressAccelerationAgingBiomarkersDNA MethylationEpigenesis, GeneticFemaleFinlandHumansMaleBiomarkersDNA methylationeffort-reward imbalanceepigenetic agejob strainwork-related well-being

Identifiers

PMID35113041
PMCPMC8876924
OpenAlexW4210288100

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.