Are pregnancy and postpartum oxytocin level a predictive biomarker for postpartum depression?
AIM
This study aims to determine the relationship between the late pregnancy and postpartum oxytocin levels and postpartum depression (PPD) symptoms.


METHODS
This longitudinal study was conducted with 70 pregnant women. Data collection was performed through two interviews. While the first interview was conducted in the 30th to 38th gestational weeks, the second interview was conducted in the 4th to 12th weeks in the postpartum period. Oxytocin level measurement was performed with a saliva sample. Saliva samples were analyzed with enzyme-linked immunosorbent assay kits.


RESULTS
The prevalence of depressive symptoms in the postpartum period was found significantly higher than the prevalence in late pregnancy. Depression symptoms reached the highest level in the 12th week. The late pregnancy oxytocin level was significantly higher than the postpartum oxytocin level. A weak, negative correlation was found between PPD symptoms and the late pregnancy oxytocin level. However, when linear regression analysis was performed, it was concluded that there was a medium, negative relationship model between PPD symptoms and the late pregnancy oxytocin level. However, no relationships were found between PPD symptoms and oxytocin level.


CONCLUSION
In conclusion, this study found that the late pregnancy oxytocin level could be a predictive biomarker for postpartum depression. Predicting the risk of PPD in the pregnancy period could provide an opportunity for early diagnosis and treatment.
['Cevik|Ayseren|A|https://orcid.org/0000-0002-9648-1667', 'Alan|Sultan|S|https://orcid.org/0000-0002-5403-3778']
pregnancy postpartum oxytocin biomarker depression