The aim of this study is to examine the influence of antenatal factors such as anxiety, depression, perceived stress, marital satisfaction, maternal antenatal attachment, and social support on postnatal maternal attachment and competence in women who received assisted reproductive treatment. A prospective longitudinal cohort design was adopted with two groups-50 women who received assisted reproductive treatment and 50 women who had natural conception. Both the groups were assessed using self-report measures over three time points: T1, 7th month of pregnancy; T2, 2 weeks postpartum; and T3, 3 months postpartum. A final sample of 44 women who had assisted conception and 47 women who had natural conception completed assessments across all three time points. Descriptive, bivariate analyses, and stepwise multiple linear regression analyses were carried out. In the assisted conception group, maternal antenatal attachment, depression, and marital satisfaction significantly predicted postnatal maternal-infant attachment. Perceived social support, depression, and duration of marriage significantly predicted postnatal maternal competence. In the naturally conceived group, maternal antenatal attachment and social support significantly predicted postnatal maternal-infant attachment; perceived stress significantly predicted postnatal maternal competence. Antenatal depressive symptoms and relational factors significantly influenced postnatal maternal attachment and competence highlighting the need for screening and targeted psychological interventions during pregnancy.
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http://dx.doi.org/10.1007/s00737-023-01340-1 | DOI Listing |
Prenat Diagn
January 2025
Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Objective: To apply a network medicine-based approach to analyze the phenome of the prenatal fetal MRI and biometric findings in the Chiari II malformation (CM II) to detect specific patterns and co-occurrences.
Method: A single-center retrospective review of fetal MRI scans obtained in fetuses with CM II was performed. Co-occurrence analysis was utilized to generate a phenotypic comorbidity matrix and visualized by Gephi software.
Pediatr Res
January 2025
Center for Genetic Medicine, Children's National Research Institute, Washington, DC, USA.
Background: Prenatally transmitted viruses can cause severe damage to the developing brain. There is unexplained variability in prenatal brain injury and postnatal neurodevelopmental outcomes, suggesting disease modifiers. Of note, prenatal Zika infection can cause a spectrum of neurodevelopmental disorders, including congenital Zika syndrome.
View Article and Find Full Text PDFBMJ Open
January 2025
Population Council, New Delhi, India.
Objective: This study examined economic inequality in coverage of selected maternal and child healthcare (MCH) indicators in India and its states over the last 15 years.
Design: The study analysed last three rounds of the National Family Health Survey data, conducted during 2005-2006, 2015-2016 and 2019-2021. Bivariate analyses, ratio of richest to poorest, slope index of inequality (SII) and multivariate binary logistic regression analyses were used to examine the coverage as well as inequalities in the outcome indicators for India and its states and at district level.
J Affect Disord
January 2025
School of Population Health, Curtin University, Perth, WA, Australia; enAble Institute, Curtin University, Perth, Western Australia, Australia.
Background: This study aims to examine the relationship between maternal antenatal and postnatal depressive disorders and the risk of disruptive behavioural disorders (DBDs) in offspring, including conduct disorder (CD) and oppositional defiant disorder (ODD), to enhance understanding and address gaps in the literature.
Methods: We utilised a large administrative health dataset from New South Wales (NSW), Australia. Maternal perinatal depressive disorders and offspring DBDs were identified using International Classification of Diseases (ICD-10) codes.
Int J Hyg Environ Health
January 2025
National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan; Environmental and Occupational Medicine, College of Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan; Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan. Electronic address:
Adverse effects on the respiratory system were associated with intensive petroleum-related industrial activities. The study aimed to assess the impact of petrochemical exposure on childhood asthma using various surrogate indices. A singleton birth cohort from 2004 to 2017 was conducted, leveraging two linked nationwide databases in Taiwan.
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