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| http://dx.doi.org/10.2105/AJPH.2013.301846 | DOI Listing |
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Ethnic Differences in Facilitators and Barriers to Lifestyle Management After Childbirth: A Multi-Methods Study Using the TDF and COM-B Model.
Nutrients
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Monash Centre for Health Research and Implementation, Monash University, 43-51 Kanooka Grove, Clayton, VIC 3168, Australia.
: Understanding ethnic differences in factors influencing healthy lifestyles postpartum is vital for informing effective lifestyle engagement strategies for women from specific ethnic groups. We aimed to explore ethnic differences in facilitators and barriers to lifestyle management among women after childbirth. : In this multi-methods study, women within 5 years of childbirth in Australia were recruited in a cross-sectional survey (n = 478) and semi-structured interviews (n = 17).
View Article and Find Full Text PDFEvaluation of Faecal Microbiota Following Probiotics in Infants of Mothers with Gestational Diabetes Mellitus Trial: Protocol for Double-Blind Placebo-Controlled Randomized Trial.
Microorganisms
January 2025
Department of Neonatology, King Edward Memorial Hospital, Perth, WA 6008, Australia.
(1) Background: The incidence of gestational diabetes mellitus (GDM) is rising globally. The current evidence indicates that GDM, especially in conjunction with maternal overweight, can alter the composition of infants' gut microbiota, potentially increasing the risk of inflammatory diseases, metabolic disorders, and neurodevelopmental issues later in life. Probiotic supplantation early in life might establish eubiosis and mitigate future complications.
View Article and Find Full Text PDFCapacity Planning (Capital, Staff and Costs) of Inpatient Maternity Services: Pitfalls for the Unwary.
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Healthcare Analysis and Forecasting, Wantage OX12 0NE, UK.
This study investigates the process of planning for future inpatient resources (beds, staff and costs) for maternity (pregnancy and childbirth) services. The process of planning is approached from a patient-centered philosophy; hence, how do we discharge a suitably rested healthy mother who is fully capable of caring for the newborn baby back into the community? This demonstrates some of the difficulties in predicting future births and investigates trends in the average length of stay. While it is relatively easy to document longer-term (past) trends in births and the conditions relating to pregnancy and birth, it is exceedingly difficult to predict the future nature of such trends.
View Article and Find Full Text PDFPredicting home delivery and identifying its determinants among women aged 15-49 years in sub-Saharan African countries using a Demographic and Health Surveys 2016-2023: a machine learning algorithm.
BMC Public Health
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Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Background: Birth-related mortality is significantly increased by home births without skilled medical assistance during delivery, presenting a major risk to the public's health. The objective of this study is to predict home delivery and identify the determinants using machine learning algorithm in sub-Saharan African.
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Elevated Fecal Lipocalin-2 Levels During Early Life Are Associated with Maternal Inflammatory Bowel Disease Diagnosis.
Dig Dis Sci
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Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1425 Madison Ave, New York, NY, 10029, USA.
Background: Fecal lipocalin-2 (LCN2) is a biomarker of neutrophil activation, which is elevated in patients with inflammatory bowel disease (IBD); however, its dynamic changes during pregnancy and early life are largely unknown. We characterized LCN2 levels by maternal IBD diagnosis, offspring feeding behavior, and gut microbiota composition.
Methods: In the prospective MECONIUM (Exploring Mechanisms of Disease Transmission In Utero through the Microbiome) study, we analyzed 559 fecal samples from 91 pregnant women with IBD, 78 healthy controls, and their 147 offspring for LCN2 levels at each trimester of pregnancy and multiple time points during early life using linear mixed-effects model and multiple logistic regression analyses.
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