Functional foods are the focus of many studies worldwide. This is justified by the effects they have on public health and thus interest in elucidation of the mechanisms involved in their actions. The present review aims to broaden the discussions of the functional properties attributed to yacon (Smallanthus sonchifolius), considered a food with multiple functions since it possesses bioactive compounds (antimicrobial, antioxidant, and probiotic substances) that exert beneficial effects on the body. Although some studies have already demonstrated several of these functions, clinical evidence is scarce, making it necessary that more studies are conducted in this area. Still, since the availability of this food in the market is relatively new, its popularity depends on publications aimed at consumer education and development of new products by the food industry.
Background: The criteria for best defining the metabolic syndrome (MS), especially in the elderly population, are still little known, and the understanding is increasingly necessary.
Background/Aims: Although a variety of classical body measurements have been used to assess adiposity, it is still uncertain which is the best indicator to predict effects arising from the accumulation of body fat (BF) in the elderly. The objective of this study was to analyze different classical anthropometric and body composition measurements and their potential for predicting metabolic syndrome (MS) in elderly women. Methods: There were 113 women (60–83 years old) participating in the study, all of whom had their anthropometric, biochemical, hemodynamic and health conditions evaluated. Statistical analysis consisted of correlation coefficient and receiver operating characteristic (ROC) curves, and calculation of the area under the curve. Results: The waist-hip ratio (WHR) and waist circumference correlated with three (hyperglycemia, hypertriglyceridemia and low concentrations of high density lipoprotein-cholesterol) of the seven cardiometabolic risk factors studied. Body mass index, BF, percentage of BF, and the sum of skinfolds were less related to metabolic risk factors. Among the indicators used to characterize central adiposity, WHR was the index that showed the greatest area under the ROC curve. Conclusions: It is suggested that the WHR, an indicator of abdominal adiposity, should be incorporated into the identification of risk of MS in elderly women.
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