Nutrición

Nutrients, Vol. 17, Pages 2718: The Effect of Gymnema Sylvestre on Motivation to Consume Sweet Foods—A Qualitative Investigation Nutrients doi: 10.3390/nu17172718 Authors: Imogen Nelson Rozanne Kruger David Hsiao Eric Stice Ajmol Ali Background/Objectives: Excessive intake of sugar-sweetened food (SSF) increases obesity risk. Various psychological, physiological, and environmental factors may drive high consumption of SSF. Due […]

Nutrients, Vol. 17, Pages 2717: Sugar Content of Children’s Breakfast Foods in Mediterranean Diet Patterns Nutrients doi: 10.3390/nu17172717 Authors: Clara Guinot-Barona Giorgia Tumino Marta Ibor-Miguel Carla Borrell-García Juan-Ignacio Aura-Tormos Esther García-Miralles Laura Marqués-Martínez Background: Breakfast habits in Mediterranean countries often include processed products with hidden sugars, which may compromise children’s oral and general health. Objectives:

Uncontrolled type 2 diabetes mellitus warrant the utilization of different combination antidiabetic therapies, however, the addition of these newer agents as add-on therapy increases the risk of side effects a… ​Uncontrolled type 2 diabetes mellitus warrant the utilization of different combination antidiabetic therapies, however, the addition of these newer agents as add-on therapy increases the

Access to clean water, adequate sanitation, and hygiene services is a basic human right. Despite this, it remains one of the major challenges that internally displaced persons face in Somalia. This study asses… ​Access to clean water, adequate sanitation, and hygiene services is a basic human right. Despite this, it remains one of the major

Nutrients, Vol. 17, Pages 2716: Leveraging Deep Learning to Enhance Malnutrition Detection via Nutrition Risk Screening 2002: Insights from a National Cohort Nutrients doi: 10.3390/nu17162716 Authors: Nadir Yalçın Merve Kaşıkcı Burcu Kelleci-Çakır Kutay Demirkan Karel Allegaert Meltem Halil Mutlu Doğanay Osman Abbasoğlu Purpose: This study aimed to develop and validate a new machine learning (ML)-based