Objective: Between January and September 2006, the authors examined when, why, if, and how nutrition labels impact food purchase decisions of college students.
Participants: Participants were 16 college-aged students at a large northeastern university.
Methods: As part of a larger study undertaken at a large northeastern university on the effect of nutrition labels in restaurant settings on food purchases, the authors held a focus group to look more deeply at when and why nutrition labeling impacted college student food purchases.
Results: Although results of the large study are still being discerned, the focus group results reveal that college women and men were interested in the provision of nutrition labels in the food court-like setting found at the university, and that those exposed to labels over the course of the study noticed these labels and often referred to them when making purchase decisions. Additional findings reveal that price and convenience also play a role in food purchases and that, of those items listed on each label, calories and fat were most important to the study population.
Conclusions: Although more research is needed, this qualitative study finds that students want nutrition labels and would use them to make food purchasing decisions.
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http://dx.doi.org/10.3200/JACH.57.3.297-302 | DOI Listing |
Front Nutr
December 2024
Changshu Key Laboratory of Medical Artificial Intelligence and Big Data, Suzhou, Jiangsu, China.
Introduction: Nutrition is closely related to body health. A reasonable diet structure not only meets the body's needs for various nutrients but also effectively prevents many chronic diseases. However, due to the general lack of systematic nutritional knowledge, people often find it difficult to accurately assess the nutritional content of food.
View Article and Find Full Text PDFJHEP Rep
November 2024
Laboratory of Hepato-Gastroenterology, Institute of Experimental and Clinical Research, Université Catholique de Louvain, Brussels, Belgium.
Background & Aims: An imbalance between primary and secondary bile acids contributes to the development of metabolic dysfunction-associated steatohepatitis (MASH). The precise mechanisms underlying changes in the bile acid pool in MASH remain to be identified. As gut bacteria convert primary bile acids to secondary bile acids, we investigated the contribution of the gut microbiota and its metabolizing activities to bile acid alterations in MASH.
View Article and Find Full Text PDFAnticancer Res
January 2025
Section of Endocrinology, Diabetes, Nutrition and Weight Management, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, U.S.A.;
Background/aim: Obese individuals often exhibit vitamin D deficiency, potentially due to sequestration in fat cells. Little is known about how vitamin D enters adipocytes and associates with the intracellular lipid droplet.
Materials And Methods: Newly differentiated human and mouse (3T3-L1) adipocytes and primary mouse adipocytes were treated with vitamin D covalently linked to green fluorescent BODIPY (VitD-B) or Green BODIPY (GB) as control.
Food Chem
December 2024
College of Food Science and Engineering, Ocean University of China, Qingdao 266003, China. Electronic address:
This research developed a magnetic relaxation switching (MRS) biosensor based on hydrogel sol-gel transition and the CRISPR/Cas12a system (MRS-CRISPR) to detect Salmonella. Herein, the alkaline phosphatase (ALP) labeled with streptavidin was captured by the biotin-modified DNA on magnetic nanoparticles (MNPs) surface, which generated an acidic environment via enzymatic reaction to release Ca and induced the transformation of alginate sol to hydrogels. In contrast, Salmonella activated the trans-cleavage activity of the CRISPR/Cas12a system, interrupting the capture of ALP and the subsequent sol-gel transition.
View Article and Find Full Text PDFFood Chem
December 2024
Panvascular Diseases Research Center, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou 324000, China; Laboratory of Food Nutrition and Clinical Research, Institute of Seafood, Zhejiang Gongshang University, Hangzhou 310012, China. Electronic address:
This study tackled mislabeling fraud in vegetable oils, driven by price disparities and profit motives, by developing an approach combining desorption electrospray ionization mass spectrometry (DESI-MS) with a shallow convolutional neural network (SCNN). The method was designed to characterize lipids and distinguish between nine vegetable oils: corn, soybean, peanut, sesame, rice bran, sunflower, camellia, olive, and walnut oils. The optimized DESI-MS method enhanced the ionization of non-polar glycerides and detected ion adducts like [TG + Na], [TG + NH].
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!