AI Article Synopsis
- The Codex Alimentarius is working on international guidelines for front-of-pack nutrition labeling, aimed at preventing diet-related diseases and influencing national health policies.
- The study involved interviews with 28 global stakeholders, revealing that Codex guidance could significantly affect global FoP nutrition labeling but exists within a complex network of international institutions.
- Concerns about conflicts of interest among national and global actors, particularly government and industry, highlight the need for more strategic public health advocacy in the development of these guidelines.
Article Abstract
The Codex Alimentarius has approved ongoing work for international guidance on front-of-pack (FoP) nutrition labelling, which is a core intervention for prevention of diet-related noncommunicable disease. This guidance will have implications for national policy decision-making regarding this important public health issue. However, FoP nutrition labelling is also a trade and commerce policy issue. In this study, we analyze the global governance of FoP nutrition labelling and current policy processes, to inform public health policy and advocacy. We present findings from a qualitative governance and institutional analysis, based on key informant interviews with 28 global actors. The study found that Codex guidance was perceived as likely to have a high impact on FoP nutrition labelling globally. However, a small and highly interconnected "regime complex" of international institutions surrounds FoP nutrition labelling at the global level, and influence on Codex discussions is being exerted differentially by actors at the national and global level, particularly by government and industry actors. There are thus risks associated with conflicts of interests in the development of global guidance on FoP nutrition labelling. There are also opportunities for more strategic and coordinated public health engagement.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412334 | PMC |
| http://dx.doi.org/10.3390/nu11020268 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Using the Nutri-Score to visualise food reformulation in Germany: the case of breakfast cereals.
BMC Public Health
January 2025
Department of Nutritional Behaviour, Max Rubner-Institut (MRI) - Federal Research Institute of Nutrition and Food, Haid-und-Neu-Straße 9, 76131, Karlsruhe, Germany.
Background: The reformulation of commonly consumed foods towards less sugar, fat, and salt is an important public health strategy to improve food choices of consumers and thus address the high prevalence of overweight and obesity. Front-of-pack nutrition labels like the Nutri-Score may drive reformulation and support nutritionally favourable food choices. Breakfast cereals are of special interest in that they tend to be high in sugar and are relatively often targeted at children.
View Article and Find Full Text PDFImproved ovalbumin accurate quantitative performance in processed foods by full-length isotope-labeled protein.
Food Chem
December 2024
National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, and Beijing Laboratory for Food Quality and Safety, Beijing 100193, China; Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China. Electronic address:
Ovalbumin (OVA) is a high-risk allergen with complex tertiary structure in food samples. Here, we developed an accurate UPLC-MS/MS-based assay to improve OVA quantitative performance in processed foods. Full-length isotope-labeled OVA proteins (OVA-I) were synthesized using stable isotope labeling by amino acids in cell culture (SILAC) technique and employed as functional internal standards to ensure similar cleavage sites between internal standards and analytes.
View Article and Find Full Text PDFMethod to define recommended portion sizes for consumer guidance.
Eur J Nutr
January 2025
School of Agriculture and Food Science, UCD Institute of Food and Health, University College Dublin, Dublin, Ireland.
Purpose: Provision of nutrition information is mandated for packaged foods, but few countries regulate serving sizes. Our objective was to develop a methodology to establish globally consistent portion size recommendations for both nutrient-dense and discretionary foods.
Methods: A stepwise systematic approach incorporated portion values from serving size regulations (n = 10), food-based dietary guidelines (FBDG; n = 90, aggregated into 6 regions), and reported food intakes from Europe and Australia.
A gut microbiota-independent mechanism shapes the bile acid pool in mice with MASH.
JHEP Rep
November 2024
Laboratory of Hepato-Gastroenterology, Institute of Experimental and Clinical Research, Université Catholique de Louvain, Brussels, Belgium.
Article Synopsis
- The study investigates how changes in bile acids contribute to metabolic dysfunction-associated steatohepatitis (MASH), focusing on the role of gut bacteria.
- Mice with MASH on a high-fat diet were compared to their wildtype counterparts to isolate the effects of MASH from diet and environmental factors.
- Findings show that MASH alters bile acid levels through mechanisms unrelated to gut microbiota, particularly highlighting increased enzyme activity in the liver that reduces secondary bile acid levels.
Chemical characterization and classification of vegetable oils using DESI-MS coupled with a neural network.
Food 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 PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!