Open Access
Open access
volume 44 pages 100961

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

A Biaggi 1
V Zonca 1
C Anacker 2
V Begni 3
F. Benedetti 4, 5
A Bramante 6
A. Braniecka 7
V. Brenna 8
M Bulgheroni 9
C. Buss 10, 11
L Cavaliere 1
C A M Cecil 12, 13, 14
A.C. Couch 15
D. de Barra 16
El Marroun H 12, 17
S Entringer 10, 11
R. Grassi-Oliveira 18, 19
M Jackowska 20
A Korosi 21
P.J.C. Kwant 22
6
 
Policentro Salute Ambulatory, Italian Marcé Society, Milan, Italy
9
 
Ab.Acus S.r.l, Italy
16
 
Tommy's, United Kingdom
Publication typeJournal Article
Publication date2025-03-01
scimago Q1
wos Q1
SJR1.249
CiteScore7.1
Impact factor3.5
ISSN26663546
Abstract
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. 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, placenta, chorionic villi and amniotic fluid, analyzing these data alongside pre-clinical samples of brain, blood and placental tissue from models of prenatal stress in mice and livebearing fish for correlative analyses. HappyMums will develop a mobile application (App) to collect multiple data types from women for early screening and monitoring of depressive symptoms. The findings generated by HappyMums will be clinically relevant as they will increase the knowledge on perinatal depression, with unprecedented benefits for the offspring and the society as a whole.
Found 
Found 

Top-30

Journals

1
Journal of Clinical Medicine
1 publication, 100%
1

Publishers

1
MDPI
1 publication, 100%
1
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
1
Share
Cite this
GOST |
Cite this
GOST Copy
Biaggi A. et al. Understanding, predicting, and treating depression in pregnancy to improve mothers’ and offspring’s mental health outcomes: The HappyMums Study // Brain Behavior & Immunity - Health. 2025. Vol. 44. p. 100961.
GOST all authors (up to 50) Copy
Biaggi A., Zonca V., Anacker C., Begni V., Benedetti F., Bramante A., Braniecka A., Brenna V., Bulgheroni M., Buss C., Cavaliere L., Cecil C. A. M., Couch A., de Barra D., H E. M., Entringer S., Grassi-Oliveira R., Jackowska M., Korosi A., Kwant P. Understanding, predicting, and treating depression in pregnancy to improve mothers’ and offspring’s mental health outcomes: The HappyMums Study // Brain Behavior & Immunity - Health. 2025. Vol. 44. p. 100961.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.bbih.2025.100961
UR - https://linkinghub.elsevier.com/retrieve/pii/S2666354625000195
TI - Understanding, predicting, and treating depression in pregnancy to improve mothers’ and offspring’s mental health outcomes: The HappyMums Study
T2 - Brain Behavior & Immunity - Health
AU - Biaggi, A
AU - Zonca, V
AU - Anacker, C
AU - Begni, V
AU - Benedetti, F.
AU - Bramante, A
AU - Braniecka, A.
AU - Brenna, V.
AU - Bulgheroni, M
AU - Buss, C.
AU - Cavaliere, L
AU - Cecil, C A M
AU - Couch, A.C.
AU - de Barra, D.
AU - H, El Marroun
AU - Entringer, S
AU - Grassi-Oliveira, R.
AU - Jackowska, M
AU - Korosi, A
AU - Kwant, P.J.C.
PY - 2025
DA - 2025/03/01
PB - Elsevier
SP - 100961
VL - 44
SN - 2666-3546
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Biaggi,
author = {A Biaggi and V Zonca and C Anacker and V Begni and F. Benedetti and A Bramante and A. Braniecka and V. Brenna and M Bulgheroni and C. Buss and L Cavaliere and C A M Cecil and A.C. Couch and D. de Barra and El Marroun H and S Entringer and R. Grassi-Oliveira and M Jackowska and A Korosi and P.J.C. Kwant},
title = {Understanding, predicting, and treating depression in pregnancy to improve mothers’ and offspring’s mental health outcomes: The HappyMums Study},
journal = {Brain Behavior & Immunity - Health},
year = {2025},
volume = {44},
publisher = {Elsevier},
month = {mar},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2666354625000195},
pages = {100961},
doi = {10.1016/j.bbih.2025.100961}
}