The aim of this study was to document the dietary diversity status of preschool children in poor, rural, and ethnic minority areas of Central South China and examine its associated factors both at home and in preschools. A cross-sectional study including 1328 preschool children aged three or five years from two nationally designated poverty counties in Hunan Province was conducted. A dietary diversity score (DDS) was constructed to measure the dietary patterns based on the 24 h recall method. The mean DDS among the sample children was 5.77 (95% confidence interval: 5.70⁻5.83, range 1 to 9) with a standard deviation of 1.22. Both household characteristics (including the education level of the child's primary caregiver and the nutritional knowledge of the caregiver) and preschool factors (including the nutritional knowledge of the child's preschool principal and teachers, nutritional training to children, and the preschool kitchen manager) were positively associated with children's DDS. The dietary diversity status of children in poor, rural, and ethnic minority areas of Central South China is much lower than that of their peers in other areas. Nutritional education should be provided to caregivers, preschool staff, and children to narrow the gap.
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http://dx.doi.org/10.3390/nu11030558 | DOI Listing |
PLoS One
January 2025
Center for Innovation in Brain Science, University of Arizona Health Sciences, Tucson, Arizona, United States of America.
Translational validity of mouse models of Alzheimer's disease (AD) is variable. Because change in weight is a well-documented precursor of AD, we investigated whether diversity of human AD risk weight phenotypes was evident in a longitudinally characterized cohort of 1,196 female and male humanized APOE (hAPOE) mice, monitored up to 28 months of age which is equivalent to 81 human years. Autoregressive Hidden Markov Model (AHMM) incorporating age, sex, and APOE genotype was employed to identify emergent weight trajectories and phenotypes.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Biology, Royal Museum for Central Africa (RMCA), Tervuren, Belgium.
Insect diversity is closely linked to the evolution of phytophagy, with most phytophagous insects showing a strong degree of specialisation for specific host plants. Recent studies suggest that the insect gut microbiome might be crucial in facilitating the dietary (host plant) range. This requires the formation of stable insect-microbiome associations, but it remains largely unclear which processes govern the assembly of insect microbiomes.
View Article and Find Full Text PDFJ Infect Dis
January 2025
School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland.
Background: Inflammation and innate immune activation are associated with chronic HIV infection, despite effective treatment. Although gut microbiota alterations are linked to systemic inflammation, the relationships between the gut microbiome, inflammation and HIV remain unclear.
Methods: The UPBEAT-CAD sub-study, examining cardiovascular disease (CVD) risk in HIV, enrolled participants matched on HIV status and traditional CVD risk factors.
Mar Drugs
January 2025
Laboratoire de Biotechnologie et Chimie Marines (LBCM), EMR CNRS 6076, IUEM, Université Bretagne Sud, Campus Tohannic, 56000 Vannes, France.
Although the density and diversity of seaweeds in Madagascar is particularly high, these resources are underexploited and they are not part of the local population's eating habits. No study has been carried out on the nutritional properties and seasonal variation of species harvested in Madagascar. In this study, was harvested monthly over two years (2021 and 2022) on the northeast coast of Madagascar (Sainte Marie Island).
View Article and Find Full Text PDFMetabolites
January 2025
Key Laboratory of Vegetable Biology of Yunnan Province, College of Horticulture and Landscape, Yunnan Agricultural University, Kunming 650201, China.
Background: Millet peppers have rich and diverse germplasm resources. It is of great significance to characterize their phenotypes and physicochemical indicators.
Methods: 30 millet germplasms were selected to measure the fruit length and width, flesh thickness, number of ventricles, fruit stalk length, and single fruit weight, and the texture characteristics of fruit such as hardness, cohesiveness, springiness, gumminess, and chewiness were determined by a texture analyzer.
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