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Background: Mothers of infants with cleft lip and/or palate (CL/P) are at an elevated risk of postpartum depression due to emotional challenges associated with the condition. This study aimed to examine the prevalence of depression and its influential factors in mothers of infants with CL/P within 1 year postpartum.
Methods: This study used an interpretive sequential mixed research design, incorporating the psychological-social-cultural model to understand the phenomenon under investigation. A quantitative survey was conducted from February to August 2023, involving 254 mothers of infants with CL/P from two hospitals in China, to investigate the prevalence of depression within 1 year postpartum and its influential factors. Subsequently, qualitative interviews were performed to gain insights into how these factors affect postpartum depression within this specific population.
Results: The prevalence of depression among mothers of infants with CL/P was 23.6% within 1 year postpartum, peaking at 33.3% between 4 and 6 months postpartum. Multivariate logistic regression analysis indicated that mothers of infants with CL/P with a history of adverse pregnancies are more likely to experience depression (odds ratio (OR) = 5.713, p<0.001). Mothers without postpartum caregiving support were significantly more likely to experience postpartum depression (OR = 1, p = 0.004) compared to those who received care from family members (OR = 1.219) or nannies (OR = 1.166). Increased parenting stress was also associated with a higher likelihood of depression (OR = 1.267, p < 0.001). In contrast, mothers with greater social support were less likely to develop postpartum depression (OR = 0.970, p = 0.041). Cultural factors also play a role in shaping postpartum depression among mothers of infants with CL/P. This relationship is complex, involving both adherence to traditional customs and the conflicts that arise between these customs and modern health practices.
Conclusion: Postpartum depression is more prevalent among mothers of infants with CL/P compared to mothers of infants without CL/P. Mothers with adverse pregnancy history, lack of caregiver support, and increased parenting stress were found to have a greater risk of postpartum depression. Conversely, higher levels of social support were associated with a reduced likelihood of experiencing postpartum depression. The influences of cultural factors on postpartum depression are complex, and they also shape an individual's social support in multiple ways. Regular prenatal evaluations are recommended to mitigate psychological burdens. Furthermore, family members should provide comprehensive support, and social groups are encouraged to arrange multifaceted assistance to families facing the challenges of caring for infants with CL/P.
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http://dx.doi.org/10.1186/s12884-025-07991-5 | DOI Listing |
J Nutr
September 2025
Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), 91057 Evry, France. Electronic address:
Background: Breast milk represents the optimal feeding strategy for newborns, supporting not only nutrition but also the establishment of a unique microbiota. The bacterial composition and diversity of this microbiota are shaped by various maternal and infant-related factors.
Objectives: This single-center prospective study aimed to examine the breast milk microbiota and determine the maternal and infant-related factors influencing its composition and diversity over the time.
Crit Rev Food Sci Nutr
September 2025
Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health, School of Public Health, Peking University, Beijing, China.
An adequate choline intake is essential for infant health. Choline profiles in human milk, critical for setting adequate intake levels and developing infant formulas, varied markedly across studies. This study aimed to systematically review and analyze choline concentrations and compositions in human milk and explore influencing factors.
View Article and Find Full Text PDFPaediatr Perinat Epidemiol
September 2025
Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, Texas, USA.
Background: The few studies that have examined the impact of PM on reduced birthweight across different percentiles of the conditional birthweight distribution have produced equivocal findings, and only two assessed whether these associations varied by race/ethnicity or by racial/ethnic composition of the neighbourhood where mothers lived.
Objective: We evaluated racial/ethnic differences in the association between prenatal PM exposure and birthweight across the birthweight distribution in a retrospective cohort study comprising 102,986 full-term singleton births in Harris County, Texas (2019-2020).
Methods: Census tract-level daily PM concentrations were estimated using 'XGBoost-IDW Synthesis', and averaged exposures over pregnancy.
BMC Infect Dis
September 2025
Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, No.20, Section 3, Renmin South Road, Chengdu, Sichuan, 610041, P.R. China.
Background: Early-onset neonatal sepsis (EOS) is a critical condition primarily caused by maternal-fetal transmission of bacterial pathogens during delivery, with Escherichia coli and Group B Streptococcus being the most prevalent. However, neonatal sepsis can also involve other rare bacteria, including Corynebacterium amycolatum, which was first described in 1988 and is widely recognized as an emerging pathogen in infectious diseases.
Case Presentation: A male infant was admitted to the neonatal intensive care unit (NICU) due to premature birth and tachypnea.
Neuroimage
September 2025
Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston,
Fetal brain development is a complex and dynamic process, and its disruption can lead to significant neurological disorders. Early detection of brain aberrations during pregnancy is critical for optimizing postnatal medical intervention. We propose a deep generative anomaly detection framework, conditional cyclic variational autoencoding generative adversarial network (CCVAEGAN), that can identify structural brain anomalies using fetal brain magnetic resonance imaging.
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