Objective: The rapid growth in web-based grocery food purchasing has outpaced federal regulatory attention to the online provision of nutrition and allergen information historically required on food product labels. We sought to characterise the extent and variability that online retailers disclose required and regulated information and identify the legal authorities for the federal government to require online food retailers to disclose such information.
Design: We performed a limited scan of ten products across nine national online retailers and conducted legal research using LexisNexis to analyse federal regulatory agencies' authorities.
Setting: USA.
Participants: N/A.
Results: The scan of products revealed that required information (Nutrition Facts Panels, ingredient lists, common food allergens and per cent juice for fruit drinks) was present, conspicuous and legible for an average of only 36·5 % of the products surveyed, ranging from 11·4 % for potential allergens to 54·2 % for ingredients lists. More commonly, voluntary nutrition-related claims were prominently and conspicuously displayed (63·5 % across retailers and products). Our legal examination found that the Food and Drug Administration, Federal Trade Commission and United States Department of Agriculture have existing regulatory authority over labelling, online sales and advertising, and Supplemental Nutrition Assistance Programme retailers that can be utilised to address deficiencies in the provision of required information in the online food retail environment.
Conclusions: Information regularly provided to consumers in conventional settings is not being uniformly provided online. Congress or the federal agencies can require online food retailers disclose required nutrition and allergen information to support health, nutrition, equity and informed consumer decision-making.
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http://dx.doi.org/10.1017/S1368980021004638 | DOI Listing |
Mol Breed
February 2025
National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024 China.
Unlabelled: Chickpea (. L) holds the esteemed position of being the second most cultivated and consumed legume crop globally. Nevertheless, both biotic and abiotic constraints limit chickpea production.
View Article and Find Full Text PDFTzu Chi Med J
July 2024
Pharmacy College, Gannan Medical University, Ganzhou, Jiangxi, China.
Objectives: This study aimed to explore the potential mechanisms of TMF (5,7,3',4'-tetramethoxyflavone) in treating osteoarthritis (OA) using network pharmacology and molecular docking.
Materials And Methods: Databases including SwissTargetPrediction, BATMAN-TCM, PharmMapper, TargetNet, SuperPred, and SEA were utilized to screen the targets of TMF. "OA" was used as the disease keyword to predict OA-related genes through GeneCards, Therapeutic Target Database, PharmGKB, Online Mendelian Inheritance in Man, and Comparative Toxicogenomics Database.
Medically tailored meals (MTMs) are personalized meals designed to meet the therapeutic needs of patients with chronic diseases. Most MTM programs rely on philanthropic support, and the optimal parameters for these programs are not well-defined. To assess the feasibility of an MTM program developed by a major healthcare institution using internal investments and an online platform for meal ordering.
View Article and Find Full Text PDFFood Res Int
February 2025
State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China. Electronic address:
The aim of this study was to explore application of visible and near-infrared (Vis/NIR) spectroscopy combined with machine learning models for SSC and TA prediction of hybrid citrus. The Vis/NIR spectra of samples including navel-region, equator-region and multi-region combination spectra in navel-region and equator-region were collected using a benchtop equipment. The performance of SSC and TA prediction models with different region spectra, including partial least squares (PLS), random forest (RF), k-nearest neighbors (KNN), support vector machine (SVM) and multilayer feedforward neural network (MFNN), was assessed.
View Article and Find Full Text PDFFood Res Int
February 2025
Embrapa Food Technology, Av. das Américas, 29501, CEP 23.020-470 Rio de Janeiro, RJ, Brazil.
In response to the rise of Non-communicable Diseases, public policies, such as Front-of-package (FOP) nutrition labeling, have been implemented to clarify information on food labels and promote healthier eating habits. Brazil adopted black magnifier warning label in 2020, which consists of a black rectangle with a magnifier glass followed by the expression "High in" for three critical nutrients: added sugar, saturated fat and/or sodium. This study aims to evaluate the effect of black magnifier warning label, brand, and claims on Brazilian consumers' perceived healthiness.
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