Background: Perinatal depression is common worldwide, which can cause many adverse effects on the physical and mental health of the mother and baby, as well as the whole family. The Edinburgh Postnatal Depression Scale (EPDS) is an efficient and effective instrument for perinatal depression. However, few studies have examined its longitudinal measurement invariance (LMI) during the whole perinatal period, which is particularly important in longitudinal studies, such as exploring developmental trajectories of perinatal depression and evaluating the effects of certain interventions.
Methods: 4139 pregnant women from 24 hospitals in 15 provinces of China were measured using EPDS in the first, second, third trimesters and 6 weeks postpartum. Exploratory factor analysis and confirmatory factor analysis were used to explore the factor structure of EPDS at each time point. Multi-group analyses were performed to examine LMI of EPDS.
Results: A three-factor model was optimal at all time points, showing the clearest factor structure and best model fit: Anhedonia (Items 1-2), Anxiety (Items 3-6), Depression (Items 7-10). Internal reliability of EPDS was good at all time points (e.g., Cronbach's α > 0.80). A series of multi-group analyses further indicated that the EPDS held strict LMI (configural, metric, scalar and strict invariance) during the perinatal period.
Conclusion: The findings further confirmed three-factor structure and good reliability of the EPDS when used in Chinese pregnant and postpartum women. The LMI justified comparisons of EPDS scores among different measurement time points.
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http://dx.doi.org/10.1186/s12889-024-21213-1 | DOI Listing |
JMIR Med Inform
January 2025
Department of Systems Design Engineering, Faculty of Engineering, University of Waterloo, Waterloo, ON, Canada.
Background: While expert optometrists tend to rely on a deep understanding of the disease and intuitive pattern recognition, those with less experience may depend more on extensive data, comparisons, and external guidance. Understanding these variations is important for developing artificial intelligence (AI) systems that can effectively support optometrists with varying degrees of experience and minimize decision inconsistencies.
Objective: The main objective of this study is to identify and analyze the variations in diagnostic decision-making approaches between novice and expert optometrists.
Phys Rev Lett
December 2024
Laboratoire PHENIX, Sorbonne Université, CNRS, (Physico-Chimie des Electrolytes et Nanosystèmes Interfaciaux), 4 Place Jussieu, 75005 Paris, France.
In recent years, the theoretical description of electrical noise and fluctuation-induced effects in electrolytes has gained renewed interest, enabled by stochastic field theories like stochastic density functional theory (SDFT). Such models, however, treat solvents implicitly, ignoring their generally polar nature. In the present study, starting from microscopic principles, we derive a fully explicit SDFT theory that applies to ions in a polar solvent.
View Article and Find Full Text PDFJ Vis Exp
January 2025
Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee;
Cardiovascular disease (CVD) is the leading cause of death in the United States. Damage in the cardiovascular system can be due to environmental exposure, trauma, drug toxicity, or numerous other factors. As a result, cardiac tissue and vasculature undergo structural changes and display diminished function.
View Article and Find Full Text PDFBioinformatics
January 2025
Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
Motivation: The accurate prediction of O-GlcNAcylation sites is crucial for understanding disease mechanisms and developing effective treatments. Previous machine learning models primarily relied on primary or secondary protein structural and related properties, which have limitations in capturing the spatial interactions of neighboring amino acids. This study introduces local environmental features as a novel approach that incorporates three-dimensional spatial information, significantly improving model performance by considering the spatial context around the target site.
View Article and Find Full Text PDFMol Neurobiol
January 2025
Department of Pathology, Faculty of Veterinary Medicine, Burdur Mehmet Akif Ersoy University, Burdur, Turkey.
Secondary brain damageafter traumatic brain injury (TBI) involves oxidative stress, neuroinflammation, apoptosis, and necroptosis and can be reversed by understanding these molecular pathways. The objective of this study was to examine the impact of tasimelteon (Tasi) administration on brain injury through the nuclear factor erythroid 2-related factor 2 (NRF-2)/heme oxygenase-1 (HO-1) and receptor-interacting protein kinase 1 (RIPK1)/receptor-interacting protein kinase 3 (RIPK3)/mixed lineage kinase domain-like (MLKL) pathways in rats with TBI. Thirty-two male Wistar albino rats weighing 300-350 g were randomly divided into four groups: the control group, trauma group, Tasi-1 group (trauma + 1 mg/kg Tasi intraperitoneally), and Tasi-10 group (trauma + 10 mg/kg Tasi intraperitoneally).
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