Cross-sectional findings from the UK — Understanding Society Study: Association between work characteristics, epigenetic age acceleration and cross-sectional data.
The relationship between occupation-related stress and the characteristics of work may be a determinant of social inequalities affecting epigenetic aging, but has been poorly investigated. We investigate here the association between several work characteristics and epigenetic age-accelerating (AA) biomarkers.
The study population consisted of employed and unemployed males and females (n = 631) who were part of the UK Understanding Society Study. We evaluated the relationship between employment and work characteristics that included job type, job security, job schedule, autonomy and influence in the workplace, occupational physical activity, and feelings about the job, with four epigenetic biomarkers of age acceleration (Hannum, Horvath, PhenoAge, GrimAge), and the pace of aging.
The linear regression models were fitted, both unadjusted for risk factors and then adjusted, to find the following associations: HorvathAA (1.51; 95% CI 0.08, 2.95); GrimAgeAA (1.53) (95% CI 0.16, 2.90); and PhenoAA (3.21 years, 95%CI 0.89, 5.33) Insecurity in the workplace increased PhenoAA (1.83, 95% CI 0.003, 3.67) while night shift work was linked to an increase in GrimAgeAA of 2.12 (95% CI 0.69 – 3.55). The effects of unemployment were stronger for men, and the effects of working night shifts stronger for women.
Source:
https://www.aging-us.com/article/204327/text
