Nutrition
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Observational Study
Nutritional assessment and factors affecting dietary intake in patients with cirrhosis: A single-center observational study.
Malnutrition is predictor of morbidity and mortality in patients with cirrhosis. We investigated prevalence of malnutrition and factors affecting dietary intake in patients with cirrhosis. ⋯ Malnutrition seen in 65% of patients. Total calories and protein intake was significantly low compared with recommendation even in well-nourished patients. Distension of abdomen, social myth about diet, and low sodium in diet were key factors affecting dietary intake in patients with cirrhosis and malnutrition.
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The aims of this study was to investigate the association of phase angle (PA) with sarcopenia and its components and to evaluate the effectiveness of PA in sarcopenia diagnosis in older men (>65 y of age) with cancer. ⋯ PA is related to diagnostic components of sarcopenia, HGS and SMI. PA can be useful in the diagnosis of sarcopenia in older male patients with cancer. The cutoff value proposed in this study was 4.25°.
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French food-based dietary guidelines (FBDG) were updated in 2017. The objective of this prospective study was to estimate the associations between the Programme National Nutrition Santé-guidelines score 2 (PNNS-GS2), reflecting the level of adherence to the 2017 FBDG, and the risk of type 2 diabetes (T2D). ⋯ In this large, prospective cohort study, a higher adherence to the French 2017 FBDG was strongly and inversely associated with the risk of developing T2D. Such analysis should be confirmed in other settings, but in terms of public health and nutritional policy, this study supports the relevance of the 2017 French FBDG.
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The availability of nutrition applications (apps) has increased in recent years. The aim of this study was to assess the accuracy of nutrient intake calculations from some of the leading apps. ⋯ The present findings suggest that the leading nutrition apps present critical issues in assessing the intake of energy and nutrients. Implementation of a framework for quality assessment is necessary to drive the design and development of higher-quality apps. Further research on efficacy and use of apps to monitor food intake is also warranted and some recommendations are provided.
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The aim of this study was to develop and validate new predictive equations for estimating resting energy expenditure (REE) in subjects with normal weight and overweight, considering anthropometric parameters as well as raw variables from bioimpedance analysis (BIA). ⋯ Compared to the equations in the literature, the new equations showed good accuracy at both the group and individual levels, with a slight improvement in individual accuracy for the formula including raw BIA variables. However, future research is required to verify the role of the raw BIA variables in predicting REE in subjects with normal weight and overweight.