Metabolic syndrome prevalence and its risk factors among adults in China: A nationally representative cross-sectional study.
OBJECTIVES: The aim of this study was to examine sex disparity in metabolic syndrome prevalence and its risk factors among Chinese adults. METHODS: Using the 2010-2012 China National Nutrition and Health Survey (CNNHS), a nationally representative cross-sectional study on nutrition and non-communicable chronic diseases, a total of 98,042 participants aged 18 years and older were […]
Association of raisin consumption with nutrient intake, diet quality, and health risk factors in US adults: National Health and Nutrition Examination Survey 2001–2012.
Raisins are one of the most commonly consumed dried fruits. Because of their unique nutrient profile, raisins may have some distinctive health benefits. The purpose of this study was to examine the cross-sectional association between raisin consumption and nutrient intake, dietary quality, body weight, and metabolic syndrome risk factors in adults. Data from the National […]
Effects of Polyphenol Intake on Metabolic Syndrome: Current Evidences from Human Trials.
Daily walnut consumption effects lipid profile and body protein in Korean subjects with metabolic syndrome.
The objective of current study was to assess the gender differences on the lipid profiles, apoprotein B, and body composition among the subjects with metabolic syndrome after daily walnut intake (45 g) for 16 weeks. 89 participants (44 men, 40±6.2yr) with metabolic syndrome were screened if they meet at least three metabolic syndrome components out […]
The gut microbiota metabolism of pomegranate or walnut ellagitannins yields two urolithin-metabotypes that correlate with cardiometabolic risk biomarkers: comparison between normoweight, overweight-obesity and metabolic syndrome.
BACKGROUND & AIMS: Urolithins are microbial metabolites produced after consumption of ellagitannin-containing foods such as pomegranates and walnuts. Parallel to isoflavone-metabolizing phenotypes, ellagitannin-metabolizing phenotypes (urolithin metabotypes A, B and 0; UM-A, UM-B and UM-0, respectively) can vary among individuals depending on their body mass index (BMI), but correlations between urolithin metabotypes (UMs) and cardiometabolic risk […]