The implementation of a standardized front-of-pack-labelling (FoPL) scheme would likely be a useful tool for many consumers trying to improve the healthfulness of their diets. Our objective was to examine what the traffic light labelling scheme would look like if implemented in the US. Data were extracted from Label Insight's Open Access branded food database in 2017. Nutrient levels and the proportion of products classified as "Red" (High), "Amber" (Medium) or "Green" (Low) in total fat, saturated fat, total sugar and sodium for food and beverage items were examined. The proportion of products in each category that had each possible combination of traffic light colors, and met the aggregate score for "healthy" was examined. Out of 175,198 products, >50% of all US packaged foods received a "Red" rating for total sugar and sodium. "Confectionery" had the highest mean total sugar (51.9 g/100 g) and "Meat and meat alternatives" the highest mean sodium (781 mg/100 g). The most common traffic light label combination was "Red" for total fat, saturated fat and sodium and "Green" for sugar. Only 30.1% of products were considered "healthy". A wide variety ( = 80) of traffic light color combinations were observed. A color coded traffic light scheme appears to be an option for implementation across the US packaged food supply to support consumers in making healthier food choices.
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http://dx.doi.org/10.3390/nu9050480 | DOI Listing |
Int J Emerg Med
January 2025
UMC Utrecht, Heidelberglaan 100, CX 3584, Utrecht, The Netherlands.
Background: Emergency department (ED) crowding is a growing concern worldwide and associated with negative effects. In 2013, 68% of Dutch ED-managers experienced crowding on several days of the week. This resulted into the introduction in phases of an ambulance diversion dashboard, in order to influence ED input.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, 769008, India.
Urban parking management is a growing challenge with increasing vehicle numbers and limited parking space. Traditional methods often fail during peak hours, leading to inefficiencies, unauthorized usage, and revenue losses. For instance, a parking lot designed for 300 vehicles often exceeds 90% occupancy during peak times, creating congestion and billing inaccuracies.
View Article and Find Full Text PDFChemosphere
January 2025
College of Design and Engineering, National University of Singapore, Singapore, 117576, Singapore. Electronic address:
Airborne particulate matter (PM) poses significant environmental and health challenges, particularly in urban areas. This study investigated the characteristics of water-soluble organic compounds (WSOC) in PM (PM with an aerodynamic diameter of 2.5 μm or less) in Singapore, a tropical Asian city-state, over a six-month period.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Paris, France.
Studies on the mechanisms and regulation of functional assemblies of SNARE proteins mediating membrane fusion essentially make use of recombinant proteins and artificial phospholipid bilayers. We have developed an easy-to-use in vivo system reconstituting membrane fusion in living bacteria. It relies on the formation of caveolin-dependent intracytoplasmic cisternae followed by the controlled synthesis of members of the synaptic SNARE machinery.
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December 2024
Oral Medicine and Radiology, SRM Dental College Ramapuram, SRM Institute of Science and Technology (SRMIST), Chennai, IND.
Facial bone fractures are a common occurrence in trauma cases, particularly in India where road traffic accidents contribute significantly. Over the past few years, artificial intelligence (AI) has become a potent instrument to help medical professionals diagnose and treat facial fractures. This study aims to perform a bibliometric analysis, that is, a quantitative and qualitative analysis, of publications focusing on the role of AI in detecting facial bone fractures.
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