Background: Perinatal depression is common: on average, more than 13% of women suffer from physician-diagnosed disorder and 20% report symptoms bearing clinical relevance. Maternal depression not only significantly impacts women's quality of life but also increases the offspring's risk of negative developmental outcomes, including mental disorders, through a combination of maternal alterations in in-utero biology and postnatal rearing factors during the early period of life. The HappyMums project aims to improve our understanding of perinatal depression by identifying the factors that robustly predict risk and resilience in mothers and their offspring, determining underlying neurobiological mechanisms, and, finally, testing the efficacy of potential interventions. Methods: HappyMums will use data from a large collection of cohorts and registries containing biological, clinical, socio-demographic, environmental, and lifestyle data. It will pool unique human samples of maternal blood, pl...

Understanding, predicting, and treating depression in pregnancy to improve mothers' and offspring's mental health outcomes: The HappyMums study

Simonetti V.;
2025

Abstract

Background: Perinatal depression is common: on average, more than 13% of women suffer from physician-diagnosed disorder and 20% report symptoms bearing clinical relevance. Maternal depression not only significantly impacts women's quality of life but also increases the offspring's risk of negative developmental outcomes, including mental disorders, through a combination of maternal alterations in in-utero biology and postnatal rearing factors during the early period of life. The HappyMums project aims to improve our understanding of perinatal depression by identifying the factors that robustly predict risk and resilience in mothers and their offspring, determining underlying neurobiological mechanisms, and, finally, testing the efficacy of potential interventions. Methods: HappyMums will use data from a large collection of cohorts and registries containing biological, clinical, socio-demographic, environmental, and lifestyle data. It will pool unique human samples of maternal blood, pl...
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3553215
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