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Region Hovedstaden - en del af Københavns Universitetshospital

Prediction of depressive symptoms after birth: An online pregnancy risk profile screening tool (PRE-SCREEN)

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Intro:
Prediction of depressive symptoms after birth: An online pregnancy risk profile screening tool (2020-Present). Postpartum depression (PPD) is a common and severe psychiatric condition affecting 10-15% of women in the first six months after birth. Research has consistently highlighted several risk factors for PPD, including higher age, previous depression, poor social network and pregnancy- and birth complications. However, there are no screening tools for pregnant women that can identify the relative impact of these factors – or their interaction – on the risk of PPD. We found that more negative ratings of infant cry during pregnancy predicted the occurrence of PPD in a recent study (HEAPAD) of 25 healthy pregnant women and 18 symptom-free pregnant women with unipolar or bipolar disorder (Bjertrup et al, in review). Building on this, the present pilot study aims to develop and investigate the predictive validity of an online screening tool that integrates multiple well-known risk factors with ratings of infant cry during pregnancy.
Metoder:
Observational, longitudinal study of women in their third trimester of pregnancy who are identified through the Danish CPR Register. Women will undergo 2 assessments:
1) an online screening during the third trimester
2) a follow-up clinical interviews 6 months post-partum.
Resultater (forventede):
Emotional bias in ratings of infant stimuli will be associated with risk of PPD.

Diskussion/Impact (forventet):
If the screening tool can predict whether pregnant women develop PPD, this would provide a new platform for (i) a future larger-scale national screening study and (ii) an ultra-early prophylactic intervention for pregnant women at enhanced risk of PPD.
StatusIgangværende
Periode01/01/202001/01/2025

    Forskningsområder

  • Sundhedsvidenskab - Mood Disorders, Biomarkers, Psychological assessment and psychometrics, Cognition, Observational study

ID: 61736859