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Abstract Details

Shift Work Effects on Incident Neuropsychiatric Disorders and Shift Work Tolerance
General Neurology
S24 - Hot Topics in Global Health and Neuroepidemiology (2:24 PM-2:36 PM)
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There exists several evidence which support the adverse influence of shift work on these nervous diseases and mental disorders. Despite the compelling and innovative nature of prior investigations,
their limitations, included constrained sample sizes and confinement to specific occupational cohorts. More importantly, these studies often isolated their focus to singular conditions. Given that shift work may act as a common risk factor across a spectrum of adverse neuropsychiatric conditions, its comprehensive association with a diverse array of neuropsychiatric disorders could elucidate not only its impact but also the extent
This study aims to investigate the effect of shift work on the incidence of neuropsychiatric disorders, and highlighting how individual variability may influence the association.
UK Biobank participants with employment information were included. Cox survival was conducted in
main and subgroup analyses. Correlation analyses explored the impact of shift work on brain structures, and mediation analyses were performed to elucidate the shared underlying mechanisms. Shift work tolerance was evaluated through survival analyses contrasting the risks associated with five neuropsychiatric disorders in shift versus non-shift workers across different demographic or occupational strata.
The analysis encompassed 254,646 participants. Shift work was associated with higher risk of dementia
(HR 1.29, 95 % CI 1.10–1.52), anxiety (1.08, 1.01–1.15), depression (1.29, 1.22–1.36), and sleep disorders (1.18, 1.09–1.28), but not stroke (p = 0.20). Shift work was correlated with decreasing volume of various brain regions, particularly in thalamus, lateral orbitofrontal, and middle temporal. Mediation analysis revealed that increased immune response and glucose levels are common pathways linking shift work to these disorders. We observed diversity in shift work tolerance across different individual characteristics, among which socioeconomic status and length of working hours were the most essential.
Our findings indicated the need to monitor shift worker health and provide personalized management
to help adapt to shift work.
Authors/Disclosures
Liu Yang, MD
PRESENTER
Miss Yang has nothing to disclose.
Jin-Tai Yu, PhD Prof. Yu has nothing to disclose.