Associations between shift work and biological age acceleration: A population-based study.

ABSTRACT:

Background

This study aimed to examine the associations between shift work and biological age acceleration (BAA) and to explore potential moderating factors that may influence the associations.

Methods

A population-based study was conducted using data from 195 419 participants in the UK Biobank (mean age: 52.71 years; 49.1% male), all of whom were either in paid employment or self-employed. Biological age was assessed using 2 distinct algorithms, namely, the Klemera-Doubal method Biological Age (KDM-BA) and Phenotypic Age (PhenoAge). BAA was derived by the residuals with regressing biological age on chronological age.

Results

Among 195 419 participants, 31 495 (16.1%) were shift workers, and 15 925 (8.1%) worked night shifts. Shift workers were more likely to have chr

SUBMITTER: Wang JN 

PROVIDER: S-EPMC12181460 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature