Activities

We collaborated with Professor Yano of Hokkaido University on a research study aimed at developing a model that uses salivary cortisol profile as a biomarker to predict nurse turnover.

During a three-month experiment, we created a predictive model using cortisol profiles measured during the first month. The results showed that these early cortisol levels were negatively correlated with the perceived job difficulty experienced by nurses three months later. Even after adjusting the model to account for subjective factors like feelings of fatigue and burnout, the negative correlation between cortisol levels and job difficulty remained significant.

These findings suggest that by predicting job difficulty, we can potentially manage and reduce the risk of nurse turnover.