Prediction of individual differences in circadian adaptation to night work among older adults: application of a mathematical model using individual sleep-wake and light exposure data

The estimated phase shift from the model was within 2 hours of the observed phase shift in ~80% of night shift workers.

• Circadian misalignment is a significant issue for night shift workers.
• Variability in individual sleep-wake and light-dark patterns may influence circadian alignment.
• Two simulations were conducted using different light exposure data to predict circadian phase shifts.
• The mathematical model accurately predicted observed melatonin phase shifts, with none more than ~3 hours off.
• The first simulation showed better accuracy in predicting phase shifts compared to the second simulation.
• Bright light exposure during night shifts improved the accuracy of phase shift predictions in the subgroup.

AI simplified