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Purposes: To investigate the effects of a self-management-cluster-based pregnancy care model (SMB-CPCM) on the psychological status and delivery outcomes of pregnant women with gestational diabetes mellitus (GDM).
Patients And Methods: A total of 120 pregnant women with GDM who had been filed and had regular obstetric examinations in a tertiary-level hospital in Bengbu City between 1 April 2023 and 1 April 2024 were included in the study using the convenience sampling method. Sixty women each were grouped into a study group and a control group using the randomised numeric table method. The study group implemented the SMB-CPCM and the control group used the conventional pregnancy healthcare model. We compared the differences in self-management ability, blood glucose concentration, delivery outcome, and psychological status.
Results: Self-management ability scores were higher in both groups following the intervention than before the intervention (P<0.001), and the increase was more notable in the study group (=9.237, <0.001). Anxiety scale (63.31±4.73, 48.29±4.20) and depression self-assessment scale scores(60.70±3.49, 41.69±4.76) in the study group were lower after the intervention than before the intervention(=13.322, 18.115, <0.001). Following the intervention, fasting blood glucose(5.39±0.42, 4.92±0.45) and postprandial 2-h blood glucose(6.70±0.71, 5.92±0.64) exhibited a reduction compared to the pre-intervention period (<0.001). Furthermore, this decline was more pronounced in the study group (=4.267, 4.584, <0.001). The study group demonstrated an elevated spontaneous delivery rate compared to the control group ( =5.168, <0.05). Additionally, the rates of gestational hypertension ( =4.941), pre-term labour ( =3.890), and macrosomia ( =4.050) were reduced in the study group when compared to the control group (<0.05).
Conclusion: SMB-CPCM can effectively control the blood glucose levels of pregnant women with GDM and improve their self-management ability, psychological status, and delivery outcomes. SMB-CPCM shows a good prospect in the management of gestational diabetes and is worth promoting. Future research can explore the impact of SMB-CPCM on long-term health outcomes of pregnant women with diabetes, so as to comprehensively evaluate its clinical value.
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http://dx.doi.org/10.2147/IJWH.S504365 | DOI Listing |
Arch Gynecol Obstet
September 2025
Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Objective: To investigate adverse pregnancy and delivery outcomes in women with GDMA1 during pregnancies conceived through fertility treatments.
Methods: This population-based retrospective cohort study examined adverse pregnancy and delivery outcomes in pregnancies affected by GDMA1 following fertility treatments compared to those conceived naturally. Women with GDMA1 who conceived via fertility treatments were classified as cases, while those who conceived naturally were designated as controls.
J Diet Suppl
September 2025
Division of Medical Research, SRM Medical College Hospital and Research Centre, SRM Institute of Science and Technology, Kattankulathur, India.
Vitamins, as essential m icronutrients, are vital for numerous cellular functions and play a key role in maintaining hematological parameter s during pregnancy, including erythropoiesis and processes affecting iron status. Iron-Deficient Gestational Anemia (IDGA), the most common clinicopathological condition in obstetrics and highly prevalent in developing countries, significantly contributes to complications such as hypertensive disorders of pregnancy and gestational diabetes. While it is recognized that vitamin deficiencies impact iron metabolism and erythropoiesis, a complete understanding of their specific roles in preventing and managing IDGA is lacking.
View Article and Find Full Text PDFPaediatr Perinat Epidemiol
September 2025
Department of Epidemiology and Occupational Health, McGill University, Montréal, Quebec, Canada.
Background: Studies show that foetal and birthweight-for-gestational age centiles are poor predictors of serious neonatal morbidity and neonatal mortality (SNMM) in univariable models.
Objective: We assessed the predictive performance of multivariable SNMM models based on maternal/pregnancy characteristics, with and without birthweight centiles.
Methods: The study was based on all live births in the United States, 2019-2021, with data obtained from the period live birth-infant death files of the National Center for Health Statistics.
J Periodontal Res
September 2025
Center for Biomedical Research and Innovation (CIIB), Universidad de Los Andes, Santiago, Chile.
This study identifies a transcriptomic profile of long noncoding RNAs in gingival crevicular fluid samples in pregnant women with gestational diabetes risk. NEAT1 and LINC-PINT were increased expression in gingival crevicular fluid samples in pregnancies later diagnosed with gestational diabetes mellitus.
View Article and Find Full Text PDFMedicine (Baltimore)
September 2025
Department of Obstetrics, Nantong University Affiliated Maternal and Child Health Hospital, Nantong, Jiangsu, China.
This study aimed to evaluate the association between a dietary education approach grounded in the transtheoretical model and cognitive load theory and glycemic control and pregnancy-related outcomes in patients diagnosed with gestational diabetes mellitus (GDM). A retrospective analysis was performed using clinical data from 126 pregnant women with GDM who received care at our hospital between September 2021 and September 2023. Participants were grouped based on the type of nursing intervention received: a control group that underwent standard care and an observation group that received an additional cognitive load-informed dietary education program based on transtheoretical model.
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