This study aimed to define complementary feeding trends in Guinea from 2005 to 2018 and complementary feeding risk factors at the individual, household, and community levels. Data from 2005 to 2018 demographic health surveys (DHS) and Multiple Indicator Cluster Surveys were used to describe complementary feeding trends in Guinea. The most recent DHS was used to examine complementary feeding risk factors at the individual, household, and community levels. Complementary feeding indicators including introduction to complementary foods (INTRO), minimum dietary diversity (MDD), minimum meal frequency (MMF), and minimum acceptable diet (MAD) were calculated based on the 2010 World Health Organisation guidance. Multivariate logistic regressions were used to identify significant risk factors (p < 0.05). Since 2005, there has been a marginal increase in MDD and MAD, but a decrease in INTRO and MMF. The 2018 DHS survey revealed various complementary feeding risk factors. At the individual level, travelling 1-60 min to get water was associated with decreased odds of meeting INTRO, while iron supplementation and maternal education were associated with increased odds of meeting MMF and MDD, respectively. Routine vitamin A supplementation, fever in the past 2 weeks, and low birth weight were associated with increased odds of meeting MAD. At the household level, being in a lower wealth quintile was associated with decreased odds of meeting MDD and MAD. National and subnational programmes and policies designed to improve infant and young child diets may consider tailored approaches that address the specific indicators and risk factors associated with poorer diets in this Guinean context.
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http://dx.doi.org/10.1111/mcn.13748 | DOI Listing |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11650045 | PMC |
BMJ Open
December 2024
Laboratory of Human Milk and Lactation Research, Department of Medical Biology, University of Warsaw, Warsaw, Poland.
Introduction: Donor human milk (DHM) is the first alternative if mother's own milk is unavailable or contraindicated. Much DHM research has focused on its nutritional, immunological and biochemical composition in response to various maternal variables, standard human milk banking procedures and storage protocols. The current systematic review protocol, however, aims to systematically gather and analyse existing data pertaining to the impact of these aforementioned factors on the clinical, health-related and developmental outcomes observed in infants fed with DHM.
View Article and Find Full Text PDFJ Int Med Res
December 2024
Department of Medical Laboratory Sciences, Faculty of Allied Medical Sciences, Al-Ahliyya Amman University, Amman, Jordan.
Objective: Breastfeeding is associated with improved health outcomes in infancy and throughout adulthood as breast milk encompasses diverse immune-active factors that affect the ontogeny of the immune system in breastfed (BF) infants. Nevertheless, the impact of infant feeding on the immune system is poorly understood, and a comprehensive understanding of immune system development in human infants is lacking. In this observational study, we addressed the effects of different infant feeding approaches on cell populations and parameters in the peripheral blood of infants to gain insight into the innate and adaptive arms of the immune system.
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December 2024
Centre for Veterinary Systems Transformation and Sustainability, Clinical Department for Farm Animals and Food System Science, University of Veterinary Medicine Vienna, Vienna, Austria.
The early microbial colonization of the porcine gut is an important priming factor for gut and immune development. Nevertheless, little is known about the composition of microbes that translocate into the ileo-cecal lymph nodes (ICLN) in the neonatal phase. This study aimed to characterize age- and nutrition-related changes in the metabolically active bacterial and fungal composition of the ICLN in suckling and newly weaned piglets.
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December 2024
Department of Anthropology, University of South Florida, 4202 E. Fowler Ave. SOC107, Tampa, FL, 33620, USA.
Milk anti-inflammatory compounds are ubiquitous in milk but vary greatly within and between populations. The causes of this variation and how this variation impacts infant phenotype is not well-characterized. The goal of this study was to explain how maternal characteristics across two disparate populations impact the levels of TGF-β2 and IL-1ra in human milk.
View Article and Find Full Text PDFSci Rep
December 2024
School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, India.
Dairy product requirement and the demand-supply gap of milk in Ethiopia have been increasing at an alarming rate due to various factors such as shortage of animal's feeds, feed staffs, feed costs, and poor genetic merits of the local breeds of the country. This problem can be lessened by selecting best breed and modern animal breeding facilities, which require technologies like big data analysis and machine learning. In this study, a prediction model that can predict age at first calving of weaned calves based on their pre-weaning and weaning parameters, including dam's parity number, season of calving, birth weight, pre-weaning health status, pre-weaning average daily weight gain (ADG), weaning age and weaning weight is developed.
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