Nutrition
-
Patients with systemic sclerosis (SSc) have an increased risk for loss of skeletal muscle mass. Ultrasonography (US) is a safe and promising method to evaluate muscle mass. In this study, we aimed to assess the frequency and clinical associations of low muscle mass status in patients with SSc, investigate the correlations between muscle mass sonographically measured regional muscle thicknesses (MTs), and explore the utility of US in predicting low muscle mass. ⋯ Low muscle mass is prevalent in SSc and patients with diffuse disease are at particular risk for this condition. US measurement of abdominal and calf MTs may be used as a screening method to detect low muscle mass due to its high sensitivity and negative predictive value.
-
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°.
-
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.
-
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.
-
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.