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Tackling Shift Work: Cardiovascular Health in the Auto Industry.

Marius Gabriel BunescuVeronica GheormanIulia Rahela MarcuCristian Virgil LungulescuVenera Cristina Dinescu
Published in: Healthcare (Basel, Switzerland) (2024)
Shift work, particularly in the auto industry, presents significant health challenges, notably in how it impacts cardiovascular health due to irregular work schedules and associated sleep disruptions. This prospective study evaluated 4683 workers from a single Romanian automotive enterprise to investigate the relationship between fixed shift work schedules and cardiovascular health outcomes. Our analysis focused on fixed-shift workers, excluding those on rotating shifts to reduce variability and enhance the clarity of the findings. The findings reveal that night shift workers are at a heightened risk of cardiovascular diseases (CVDs) compared to their day shift counterparts. Night shift workers demonstrated a higher CVD incidence (4.3%) compared to day shift workers (2.6%), with an odds ratio (OR) of 1.68 (95% CI: 1.08 to 2.62, p = 0.021). This association remained significant after adjusting for potential confounders, with an adjusted OR of 1.74 (95% CI: 1.09 to 2.75, p = 0.019). Male night shift workers exhibited a significantly higher CVD incidence (4.5%) compared to male day shift workers (3.0%), with an OR of 1.75 (95% CI: 1.07 to 2.89, p = 0.026). Female night shift workers also showed a higher CVD incidence (3.4%) compared to female day shift workers (1.3%), although this was not statistically significant. These findings underscore the urgent need for targeted interventions and effective strategies to mitigate these risks and promote the cardiovascular health and overall well-being of shift workers in the auto industry. This research contributes to a deeper understanding of how non-traditional work schedules affect health and provides a basis for implementing protective measures in occupational settings.
Keyphrases
  • healthcare
  • public health
  • risk factors
  • sleep quality
  • type diabetes
  • gene expression
  • risk assessment
  • coronary artery disease
  • health information
  • human health