The purpose of this study was to examine the association between the level of energy intake from carbohydrate and the dietary and health characteristics among Korean adults. We examined the diet quality and health conditions of Korean adults by segmenting them into eight groups according to the level of energy intake from carbohydrate (<45%, 45-50%, 50-55%, 55-60%, 60-65%, 65-70%, 70-75%, and >75%). From the data of the 7th (2016-2017) Korea National Health and Nutrition Examination Survey (KNHANES), 7566 subjects aged 19 to 64 years were analyzed. Diet quality was much lower in the groups whose energy intake from carbohydrate was <50% or >65%, compared to the groups whose energy intake from carbohydrate was 50-65%. Hypertension or low HDL-cholesterolemia was associated with low (<45%) or high (>70%) energy intake from carbohydrate. We found no considerable difference in the diet quality and health conditions between the groups whose energy intake from carbohydrate was 50-55% and 55-65%. In conclusion, it is suggested to expand the current acceptable macronutrient distribution range (AMDR) for carbohydrate for Korean adults (i.e., 55% to 65%) to include 50-55%.
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http://dx.doi.org/10.3390/nu12020429 | DOI Listing |
Nutr J
January 2025
École de nutrition, Faculté des sciences de l'agriculture et de l'alimentation (FSAA), Université Laval, 2440, boulevard Hochelaga, Québec, Québec, G1V 0A6, Canada.
Background: A better understanding of correlates of sugary drink consumption is essential to inform public health interventions. This study examined differences in perceived healthiness of sugary drinks and related social norms between countries, over time, and sociodemographic groups and associations with sugary drink intake.
Methods: This study used annual cross-sectional data from the International Food Policy Study from 2018 to 2021 in Australia, Canada, the United Kingdom, the United States, and Mexico.
Nat Commun
January 2025
Laboratory of Molecular Neurobiology, Graduate School of Biostudies, Kyoto University, Sakyo-ku, Kyoto, Japan.
Commensal bacteria affect host health by producing various metabolites from dietary carbohydrates via bacterial glycometabolism; however, the underlying mechanism of action remains unclear. Here, we identified Streptococcus salivarius as a unique anti-obesity commensal bacterium. We found that S.
View Article and Find Full Text PDFObes Res Clin Pract
January 2025
Department of Angiology and Internal Medicine, Wroclaw Medical University, Wroclaw, Poland. Electronic address:
Obesity is a leading cause of cardiovascular diseases. There are significant and mutual associations between lymphatic dysfunction and obesity. This case-control study aimed to compare nutrient intake, depressive symptoms, and Eysenck's personality traits in patients with lower extremity lymphedema and overweight/obesity (n = 34) in comparison to patients with lifestyle-induced overweight/obesity (n = 30) and patients with normal body weight (n = 30).
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Cardiovascular Sciences, University of Leicester and the National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester LE3 9QP, UK
Introduction: Heart failure with preserved ejection fraction (HFpEF) is characterised by severe exercise intolerance, particularly in those living with obesity. Low-energy meal-replacement plans (MRPs) have shown significant weight loss and potential cardiac remodelling benefits. This pragmatic randomised trial aims to evaluate the efficacy of MRP-directed weight loss on exercise intolerance, symptoms, quality of life and cardiovascular remodelling in a multiethnic cohort with obesity and HFpEF.
View Article and Find Full Text PDFJ Ren Nutr
January 2025
Coordinación de Nutrición Clínica, Departamento de Áreas Críticas, Instituto Nacional de Enfermedades Respiratorias, Ciudad de México.
Background: Protein-energy wasting (PEW) is the chronic kidney disease (CKD)-specific diagnosis encompassing malnutrition. PEW is associated with adverse outcomes, including those receiving peritoneal dialysis (PD). Identifying PEW requires accurate methods to improve diagnosis.
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