Saliva Test Predicts Sleep Deprivation for Road Safety

Researchers have developed a saliva test capable of predicting sleep deprivation, which is linked to impaired alertness and slower reaction times comparable to severe alcohol intoxication. The study, published recently, involved 20 healthy young men who typically sleep seven to nine hours per night.

Participants underwent three different sleep conditions over a span of weeks: a full night of sleep, four nights of restricted sleep, and complete sleep deprivation. Saliva samples were collected and analyzed for metabolic changes, revealing ten key molecular differences between sleep-deprived and well-rested states.

The research team created a machine learning model that accurately identified sleep-deprived samples 94% of the time. The findings suggest that individual recovery rates from sleep deprivation may vary, and the study marks a significant milestone in forensic investigations related to fatigue.

Future research plans include a larger study with 1,000 samples to further validate the model, aiming to provide a practical tool for identifying sleep-deprived individuals in real-world settings.