Nutrition
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The introduction of ChatGPT has sparked enormous public interest in large language (deep-learning) models, which have been sophisticated enough to perform well on a variety of tasks. One way people are using these models is to construct diets. The prompts often include food restrictions that are an obligatory part of everyday life for millions of people worldwide. ⋯ More common errors involve inaccuracies in portions or calories of food, meals, or diets. We discuss here how the accuracy of large language models could be increased and the trade-offs involved. We propose that prompting for elimination diets can serve as one way to assess differences between such models.
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The energy demands of individuals with cystic fibrosis (CF) vary depending on pancreatic function, body composition, lung function, and clinical status. In clinical practice, predictive equations are used to determine energy requirements yet do not reliably account for these factors. Research regarding energy requirements during CF pulmonary exacerbation (CFPEx) and clinical stability is conflicting. The aim of this study was to investigate potential within-individual changes in measured resting energy expenditure (mREE) using indirect calorimetry (IC) at the commencement and completion of intravenous antibiotic treatment (IVABx) for CFPEx and during clinical stability. Secondary aims were to investigate potential differences between predicted resting energy expenditure (pREE) using Schofield equation and correlations between clinical factors with mREE. ⋯ The mREE remained stable during CFPEx and clinical stability. The pREE underestimated mREE and application of injury factor adjustment of 110% to 130% could potentially account for this discrepancy. The potential role of IC and body composition in individualizing CF nutritional assessment and prescription requires further exploration.
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The aim of this systematic review was to investigate whether phase angle (PhA) of bioelectrical impedance is associated with inflammatory markers in cardiovascular diseases (CVDs). ⋯ The present results suggested that PhA is inversely associated with inflammatory markers in individuals with CVDs, and its clinical use is encouraged for better therapeutic planning.
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There is a trend toward an increase in body mass index (BMI) among adolescents over the course of the year. This increase in BMI is more pronounced during vacation periods, when healthy habits are relaxed due to the increase in number of social, family, and festive events, with summer being the period with the greatest increase. The objective of this study was to evaluate changes in weight during Christmas vacation. Changes in weight, BMI, and waist circumference were evaluated in association with adherence to the Mediterranean diet or a low-fat diet. ⋯ The data show that students gained a significant amount of weight during the Christmas holidays. Although the weight gain was not alarming, it does point to the possibility of weight gain among young adults during vacation periods and may reflect what happens in other social strata.
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The aim of this study was to thoroughly review the scientific literature related to cohort studies that evaluated the association between the intake of ultra-processed foods, according to the NOVA classification, and the increase in the components of metabolic syndrome and body fat in children and adolescents. ⋯ Seven of nine studies found at least one association with components of metabolic syndrome. This highlights the importance of early intervention to prevent non-communicable diseases in the future.