New method can predict 80 percent of cases of postnatal depression

Key points
- Worldwide, 13% of women who give birth suffer from postnatal depression, which causes a significant deterioration in a mother's quality of life and her ability to care for her baby.
- "Early diagnosis of postnatal depression would make it possible to intervene to prevent it from developing among women at risk", Salvador Tortajada, lead author of the study and a researcher at the Polytechnic University of Valencia (UPV), tells SINC.
- The experts studied data on 1,397 Spanish women who gave birth between December 2003 and October 2004 in seven hospitals in Spain, and devised various models that can predict – with an 80% success rate – which mothers run the risk of developing depression during the first weeks after giving birth.
- This study, which is the first of its kind in Spain and has been published recently in the journal Methods of Information in Medicine, gives the best results to date in terms of predicting this illness.
Worldwide, 13% of women who give birth suffer from postnatal depression, which causes a significant deterioration in a mother's quality of life and her ability to care for her baby. Now, Spanish researchers have developed a model to diagnose this illness with a predictive power of 80% - the best result to date for this kind of depression.
"Early diagnosis of postnatal depression would make it possible to intervene to prevent it from developing among women at risk", Salvador Tortajada, lead author of the study and a researcher at the Polytechnic University of Valencia (UPV), tells SINC.
The experts studied data on 1,397 Spanish women who gave birth between December 2003 and October 2004 in seven hospitals in Spain, and devised various models that can predict – with an 80% success rate – which mothers run the risk of developing depression during the first weeks after giving birth.
This study, which is the first of its kind in Spain and has been published recently in the journal Methods of Information in Medicine, gives the best results to date in terms of predicting this illness. "Now it needs clinical evaluation, and for psychiatrists to start to test it directly on patients in order to study the true potential of these tools", says Tortajada.
The researchers used artificial neuronal networks and extracted a series of risk factors highlighted in previous studies – the extent of social support for the mother, prior psychiatric problems in the family, emotional changes during the birth, neuroticism and polymorphisms in the serotonin transport gene (genes with high levels of expression lead to an increased risk of developing the illness).
They also discovered two protection factors that reduce the risk of depression – age (the older the woman the lower her chance of depression), and whether or not a woman has worked during pregnancy (which reduces the risk). The researcher points out that: "it can be seen that these factors are relevant in the neuronal networks, but not by using other statistical methods". The path is now clear for future studies to corroborate these findings.
However, many studies have shown that between 10 and 15% of women who give birth suffer from depression, normally between the second and third month after having given birth. This illness affects the patient's emotional and cognitive functions (in extreme cases leading to suicidal tendencies), and may have serious knock-on effects on the child's future development.
###
Contact: SINC
info@plataformasinc.es
34-914-251-820
FECYT - Spanish Foundation for Science and Technology
Written and revised by
David Cohen, M.D.
Our doctors write and review articles for accuracy and keep them up to date.
health.am provides general information, not medical advice. Always consult a qualified health professional about your own health.
Explore health topics
More in this topic
Mental Health →
NewsFood insecurity predicts mental health problems in adolescents
A study published in the December 2012 issue of the Journal of the American Academy of Child and Adolescent Psychiatry found that adolescents who experienced food insecurity in the past year have a higher prevalence of…
18 December 2012
NewsCombining diagnostic tests more accurate at predicting Alzheimer's
Employing a combination of imaging and biomarker tests improves the ability of doctors to predict Alzheimer's in patients with mild cognitive impairment, according to researchers at Duke Medicine. The findings, which…
12 December 2012
NewsRelapse or recovery? Neuroimaging predicts course of substance addiction treatment
An Indiana University study has provided preliminary evidence that by measuring brain activity through the use of neuroimaging, researchers can predict who is likely to have an easier time getting off drugs and alcohol,…




