Identification of Predictors of Shift Work Adaptation and Its Association With Immune, Hormonal and Metabolite Biomarkers
2024

Predictors of Shift Work Adaptation and Its Impact on Health

Sample size: 38 publication 10 minutes Evidence: moderate

Author Information

Author(s): Barbara N. Harding, Ana Espinosa, Gemma Castaño‐Vinyals, Oscar J. Pozo, Debra J. Skene, Mariona Bustamante, Ruth Aguilar, Carlota Dobaño, Valentin Wucher, José Maria Navarrete, Patricia Such Faro, Antonio Torrejón, Manolis Kogevinas, Kyriaki Papantoniou

Primary Institution: College of Population Health University of New Mexico

Hypothesis

What factors predict adaptation to shift work and how does this relate to health biomarkers?

Conclusion

The study found that later chronotype, increased light exposure at night, and shorter sleep duration were linked to poorer adaptation in shift workers.

Supporting Evidence

  • Participants who were more adapted during the night shift had longer sleep durations.
  • Later chronotype was associated with poorer adaptation during the night shift.
  • More light exposure at night correlated with worse adaptation.
  • Shorter sleep duration was linked to poorer adaptation in both night and day shifts.
  • Biomarker levels indicated higher inflammatory markers among less adapted individuals.

Takeaway

This study looked at how well people adjust to working night shifts and found that those who sleep less and are exposed to more light at night have a harder time adjusting.

Methodology

The study involved 38 male rotating shift workers who were sampled during night and day shifts, collecting urine samples and using activity sensors to assess adaptation.

Potential Biases

Potential bias due to the specific population of male shift workers and the single sampling point during each shift.

Limitations

The study had a small sample size and focused only on male participants, limiting generalizability.

Participant Demographics

All participants were male, with an average age of 41 years and a median shift work history of 8 years.

Statistical Information

P-Value

0.03

Confidence Interval

95% CI −1.87, −0.45

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1111/jpi.70017

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