Association between shift work and brain age gap: a neuroimaging study using MRI-based brain age prediction algorithms
These findings demonstrate that shift work is associated with accelerated apparent brain aging, even after controlling for systematic model bias and demographic covariates. The observed reduction in BAG with extended shift work exposure may reflect adaptive or selective effects, emphasizing the need for longitudinal studies to clarify these mechanisms. This research highlights the importance of incorporating occupational exposures in neuroimaging and brain health investigations.
Authors
- You Jin Kim (ORCID: https://orcid.org/0000-0002-4952-5532)
- E. D. Petrovskiy (ORCID: https://orcid.org/0000-0003-4325-4062)
- Joon Yul Choi (ORCID: https://orcid.org/0000-0002-2428-0209)
- Wanhyung Lee (ORCID: https://orcid.org/0000-0001-6408-7668)
Institutions
- Yonsei University (KR)
- International Tomography Center (RU)
- Chung-Ang University (KR)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2025-08-29
- DOI
- https://doi.org/10.3389/fnagi.2025.1650497
- Citations
- 1
- Primary Topic
- Sleep and Work-Related Fatigue
- Type
- article
- Field-Weighted Citation Impact
- 2.12
Funders
- National Research Foundation
- Ministry of Education
- National Research Foundation of Korea