Determining trends in the nutritional status of children may guide care prevention beyond this age in an effort to reduce the prevalence and incidence of overweight and/or obese children. The objective of this study is to evaluate the evolution of the nutritional status of preschool children in two moments, with an interval of 2 years. This is a cohort study of a random probabilistic sample of preschool children attending public schools within an urban area of high human development index city, in the hinterland of São Paulo state. In 2016, we reassessed the nutritional status of 351 preschoolers evaluated in 2014, comparing the prevalence of overweight according to BMI >1 z-score. The prevalence of overweight was 31.05% (2014) and 31.06% (2016) and mean BMI z-scores were 0.58 and 0.57, respectively. The nutritional status classification of the preschool children showed almost no agreement between the two time points (κ = 0.053). Nevertheless, children with overweight in 2014 had a relative risk of 1.96 of being overweight or obese in 2016 ( = 0.0473). Prevalence of overweight among preschoolers was the same at 2 and 5 years of age, with no tendency to grow. Despite this, 2-year-old preschoolers with overweight present a twofold higher relative risk for excessive weight at 5 years of age. These changes of nutritional status at preschool age evince the great flexibility of their nutritional condition during this period of life.
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http://dx.doi.org/10.1089/chi.2019.0032 | DOI Listing |
Front Nutr
January 2025
Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Background: Few studies have explored the link between nutritional status and prognosis in patients with epithelial ovarian cancer (EOC), and existing findings are controversial. Thus, this study aimed to explore the effects of pre-treatment nutrition-related indicators on the prognosis of patients with newly diagnosed EOC.
Methods: In this ambispective cohort study, 1,020 patients with EOC diagnosed by pathology examination were enrolled and followed-up until December 31, 2023.
Pan Afr Med J
January 2025
Department of Nutrition, Dietetics and Food Sciences, University of Zimbabwe, P.O Box MP 167, Mt Pleasant, Harare, Zimbabwe.
family-led mid-upper arm circumference (FL-MUAC) is a community-based acute malnutrition screening approach that is centered on training the mother or caregiver to use colour-coded MUAC tapes to screen children for malnutrition. A scoping review was conducted to summarise available evidence and evaluate the use of the FL-MUAC approach in the screening for acute malnutrition in Africa. A systematic literature search was performed using electronic databases to identify relevant research documents investigating the FL-MUAC approach.
View Article and Find Full Text PDFAquac Nutr
January 2025
State Key Laboratory of Fresh Water Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, China.
This study was carried out to search for the protein requirement of a new strain of preponderant amphitriploid clone, which integrated genomes partly from white crucian carp (). Seven groups of fish (body weight: 9.73 ± 0.
View Article and Find Full Text PDFBMC Nutr
January 2025
School of Public Health, Collage of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Background: Human immunodeficiency virus continues to be a major global public health issue. Body mass index is a general indicator of nutritional status and has emerged as a powerful predictor of morbidity and mortality among adult PLHIV initiating antiretroviral therapy in resource-limited settings. However, there is a dearth of information regarding longitudinal changes in body mass index and its predictors among adult PLHIV in Ethiopia, particularly in the study area.
View Article and Find Full Text PDFBioData Min
January 2025
Department of Statistics, College of Science, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia.
Background: This study employs a LSTM-FC neural networks to address the critical public health issue of child undernutrition in Ethiopia. By employing this method, the study aims classify children's nutritional status and predict transitions between different undernutrition states over time. This analysis is based on longitudinal data extracted from the Young Lives cohort study, which tracked 1,997 Ethiopian children across five survey rounds conducted from 2002 to 2016.
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