scholarly journals Trajectories of Postpartum Depression in Italian First-Time Fathers

2016 ◽  
Vol 11 (4) ◽  
pp. 880-887 ◽  
Author(s):  
Sara Molgora ◽  
Valentina Fenaroli ◽  
Matteo Malgaroli ◽  
Emanuela Saita
Keyword(s):  
Depressive Symptoms ◽  
Postpartum Depression ◽  
Edinburgh Postnatal Depression Scale ◽  
Depression Scale ◽  
Growth Mixture Modeling ◽  
Well Being ◽  
Mixture Modeling ◽  
Latent Growth ◽  
Growth Mixture ◽  
First Time

Paternal postpartum depression (PPD) has received little attention compared with maternal prenatal and postpartum depression, despite research reporting that paternal PPD concerns a substantial number of fathers. History of depression and antenatal depression have been identified as important PPD’s risk factors, underlining the continuity of depressive symptoms during the transition to parenthood. However, only few studies have focused on the evolution of depressive symptoms with longitudinal research design. The present study aims at analyzing the longitudinal trajectories of depressive symptoms from the third trimester of pregnancy to 1 year after childbirth. One hundred and twenty-six first-time fathers completed the Edinburgh Postnatal Depression Scale at four time points (7-8 months of pregnancy, 40 days, 5-6 months, and 12 months after childbirth). Data were analyzed throughout latent growth mixture modeling. Latent growth mixture modeling analysis indicated a three-class model as the optimal solution. The three-class solution included a trajectory of low, stable depressive symptoms across the four time points ( resilient, 52%); a trajectory of moderate, relatively stable depressive symptomatology ( distress, 37%); and a trajectory of emergent clinical depression following a pattern of high depressive symptoms ( emergent depression, 11%). This study allowed to identify different subpopulation within the sample, distinguishing among mental well-being, emotional distress, and high-risk conditions when—1 year after childbirth—fathers report the highest scores to the Edinburgh Postnatal Depression Scale. These results underline the importance to analyze fathers’ well-being over the time during the transition to fatherhood.

Predictors of postpartum depression in first-time fathers

2020 ◽  
Vol 28 (5) ◽  
pp. 552-554
Author(s):  
Anne M Howarth ◽  
Nicola R Swain
Keyword(s):  
Mental Health ◽  
Life Satisfaction ◽  
Postpartum Depression ◽  
Family Life ◽  
Postnatal Depression ◽  
Edinburgh Postnatal Depression Scale ◽  
Depression Scale ◽  
Well Being ◽  
Pregnancy Anxiety ◽  
First Time

Objective: A significant number of men suffer from paternal postpartum depression (PPPD). This is detrimental to family and personal well-being. This study aims to report rates of PPPD in first-time fathers in New Zealand. It also aims to find predictors of PPPD. Methods: Data from 116 men were analysed. Men completed questionnaires at 24 weeks gestation, 36 weeks gestation, post-birth and 6 months after the baby was born. The outcome of interest was scores on the Edinburgh Postnatal Depression Scale 6 months after the baby was born. Results: Twelve percent of the participants met criteria for PPPD. Factors that predicted PPPD were: earlier depression, family life satisfaction, expectations, birth interventions, pain management for their partner and pregnancy anxiety. Conclusions: It is important that PPPD is recognised and treated. More research is needed on the mental health of fathers.

scholarly journals Genome-wide gene expression changes in postpartum depression point towards an altered immune landscape

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Divya Mehta ◽  
Karen Grewen ◽  
Brenda Pearson ◽  
Shivangi Wani ◽  
Leanne Wallace ◽  
...  
Keyword(s):  
Gene Expression ◽  
Depressive Symptoms ◽  
Postpartum Depression ◽  
Expression Profiles ◽  
Depression Scale ◽  
Well Being ◽  
Health Concern ◽  
Genome Wide ◽  
A Genome ◽  
Genome Wide Gene Expression

AbstractMaternal postpartum depression (PPD) is a significant public health concern due to the severe negative impact on maternal and child health and well-being. In this study, we aimed to identify genes associated with PPD. To do this, we investigated genome-wide gene expression profiles of pregnant women during their third trimester of pregnancy and tested the association of gene expression with perinatal depressive symptoms. A total of 137 women from a cohort from the University of North Carolina, USA were assessed. The main phenotypes analysed were Edinburgh Postnatal Depression Scale (EPDS) scores at 2 months postpartum and PPD (binary yes/no) based on an EPDS cutoff of 10. Illumina NextSeq500/550 transcriptomic sequencing from whole blood was analysed using the edgeR package. We identified 71 genes significantly associated with postpartum depression scores at 2 months, after correction for multiple testing at 5% FDR. These included several interesting candidates including TNFRSF17, previously reported to be significantly upregulated in women with PPD and MMP8, a matrix metalloproteinase gene, associated with depression in a genome-wide association study. Functional annotation of differentially expressed genes revealed an enrichment of immune response-related biological processes. Additional analysis of genes associated with changes in depressive symptoms from recruitment to 2 months postpartum identified 66 genes significant at an FDR of 5%. Of these genes, 33 genes were also associated with depressive symptoms at 2 months postpartum. Comparing the results with previous studies, we observed that 15.4% of genes associated with PPD in this study overlapped with 700 core maternal genes that showed significant gene expression changes across multiple brain regions (P = 7.9e-05) and 29–53% of the genes were also associated with estradiol changes in a pharmacological model of depression (P values range = 1.2e-4–2.1e-14). In conclusion, we identified novel genes and validated genes previously associated with oestrogen sensitivity in PPD. These results point towards the role of an altered immune transcriptomic landscape as a vulnerability factor for PPD.

Depressive Symptom Trajectories Among Sexually Abused Youth: Examining the Effects of Parental Perpetration and Age of Abuse Onset

2018 ◽  
Vol 23 (4) ◽  
pp. 387-398 ◽  
Author(s):  
Matthew W. Carlson ◽  
Assaf Oshri
Keyword(s):  
Sexual Abuse ◽  
Depressive Symptoms ◽  
Sexually Abused ◽  
Depressive Symptomatology ◽  
Growth Mixture Modeling ◽  
Well Being ◽  
Depressive Symptomology ◽  
Symptom Trajectories ◽  
Growth Mixture ◽  
Abuse Characteristics

Researchers found that sexual abuse in childhood leads to increased adolescent depressive symptomatology, though this link may vary due to the relationship between the victim and the perpetrator as well as the age of the child when the abuse began. A sample of 444 sexually abused youth provided data for the National Survey of Child and Adolescent Well-Being I. Growth mixture modeling was used to identify trajectories of depressive symptoms and test the effects of parental perpetration and age of abuse onset. Results supported the following three growth trajectories of depressive symptoms in adolescence: falling, rising, and flat. Youth who were sexually abused by a parent were more likely to follow the rising and falling trajectories. Also, youth who experienced sexual abuse at a younger age were more likely to be classified in the falling trajectory. Findings can inform intervention programming on the links between sexual abuse characteristics and subsequent patterns of adolescent depressive symptomology.

Identifying trajectories of adolescent smoking: An application of latent growth mixture modeling.

2001 ◽  
Vol 20 (2) ◽  
pp. 127-135 ◽  
Author(s):  
Craig R. Colder ◽  
Paras Mehta ◽  
Kevin Balanda ◽  
Richard T. Campbell ◽  
Kathryn Mayhew ◽  
...  
Keyword(s):  
Growth Mixture Modeling ◽  
Mixture Modeling ◽  
Adolescent Smoking ◽  
Latent Growth ◽  
Growth Mixture ◽  
Latent Growth Mixture Modeling
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