Maternal depression is one of the most well-documented risk factors for child and adolescent depression, but little work has focused on how to reduce this risk. Although a few interventions have been developed and tested, implementing targeted prevention efforts with depressed mothers and their children is not common practice. The increased risk of depression for children of depressed mothers is so clear, however, professionals can no longer "sit on the sidelines" without initiating specific prevention efforts with this population. To do so requires a paradigm shift-moving from a focus on individual treatment to a prevention approach that engages the entire family as the unit of care. The purpose of this paper is to draw on existing literature to highlight potential "pathways to prevention" for children of depressed mothers. Recommendations for initiating these pathways based on family lifecycle stage, point of contact, and service setting are presented and discussed.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3290810 | PMC |
http://dx.doi.org/10.1155/2012/313689 | DOI Listing |
J Child Psychol Psychiatry
January 2025
Department of Applied Psychology and Human Development, University of Toronto, Toronto, Ontario, Canada.
Background: This longitudinal study with multi-informant (maternal, paternal, and experimenter) and multimethod (questionnaires, behavioral observations, and standardized assessments) data tests an intergenerational model from mothers' adverse childhood experiences (ACEs) to their children's socio-emotional and cognitive outcomes.
Methods: Participants were 501 children (50.7% male) and caregivers (56.
Scand J Caring Sci
March 2025
Faculty of Medicine, The Nethersole School of Nursing, The Chinese University of Hong Kong, Shatin, Hong Kong.
Objective: To evaluate the effectiveness of a theory-based, Real-time-online Education and Support with Telephone follow-ups (REST) programme for primiparous women on their breastfeeding outcomes over 6 months postpartum.
Study Design: Randomised controlled trial.
Methods: Convenience sampling was used to recruit 150 low-risk primiparous mothers, and then they were randomly assigned into intervention and control groups by computerised block randomisation.
J Obstet Gynaecol Res
February 2025
Sleep Center, Kuwamizu Hospital, Kumamoto, Japan.
Background: Pregnancy-related anatomic, physiologic, and hormonal factors can occur at different stages of pregnancy and affect sleep disturbances. The relationship between sleep problems during pregnancy and postpartum depressive symptoms as well as neonatal condition at delivery have not been well described. This study hypothesized that sleep problems are associated with postpartum depressive symptoms and adverse neonatal outcomes at delivery.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China.
Background: Postpartum depression (PPD) is a prevalent mental health issue with significant impacts on mothers and families. Exploring reliable predictors is crucial for the early and accurate prediction of PPD, which remains challenging.
Objective: This study aimed to comprehensively collect variables from multiple aspects, develop and validate machine learning models to achieve precise prediction of PPD, and interpret the model to reveal clinical implications.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!