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Background: The increase in the frequency and scale of climate-related disasters is closely linked to greenhouse gas emissions (GHGEs) from food systems. Due to a lack of a comprehensive emission database that covers entire food systems, data on per capita dietary GHGEs are limited.
Objective: We created the Food Systems-related GHGE Factor Database (FS-GHGEF-D) to cover an entire food system and estimate per capita GHGEs for Korea.
Methods: We include GHGE factors for 3,894 food items derived from 24-h recall data of the seventh Korea National Health and Nutrition Examination Survey (2016-2018). We extracted these factors from 920 articles, excluding studies that focused only on specific GHG types or single-system boundaries and used a Monte Carlo Markov chain simulation to assess uncertainty of estimates.
Results: The FS-GHGEF-D covered 96.6% of food items. A total of 265 food items, primarily alcoholic and nonalcoholic beverages, were characterized by high degrees of uncertainty. However, removing these foods did not significantly alter the average GHGE factor across all food groups or affect coverage significantly, with the exception of the beverage category (both alcoholic and nonalcoholic). The average daily diet-related GHGEs per capita in Korea, as calculated using FS-GHGEF-D, were . Among food groups, meats contributed the most to the total variation in dietary GHGEs in the Korea population (75.7%). Men generally emitted more GHGEs than did women, with men in their 30s being the highest emitters.
Discussion: This study highlights the utility of a full-system GHGE database that addresses prior limitations in global estimates. Korean dietary patterns exceed climate-compatible thresholds, with substantial variation by demographic groups. These findings support the need for equity-focused strategies and integration of environmental considerations into national dietary guidelines for sustainable and climate-resilient food systems. https://doi.org/10.1289/EHP15534.
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http://dx.doi.org/10.1289/EHP15534 | DOI Listing |
Nutr J
September 2025
Department of Life Sciences, Division of Food and Nutrition Science, Chalmers University of Technology, Gothenburg, 412 96, Sweden.
Background: Avenanthramides (AVAs) and Avenacosides (AVEs) are unique to oats (Avena Sativa) and may serve as biomarkers of oat intake. However, information regarding their validity as food intake biomarkers is missing. We aimed to investigate critical validation parameters such as half-lives, dose-response, matrix effects, relative bioavailability under single dose, and in relation to the abundance of Feacalibacterium prausnitzii, and under repeated dosing, to understand the potential applications of AVAs and AVEs as biomarkers of oat intake.
View Article and Find Full Text PDFMetabolomics
September 2025
Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France.
Introduction: Initially developed for transcriptomics data, pathway analysis (PA) methods can introduce biases when applied to metabolomics data, especially if input parameters are not chosen with care. This is particularly true for exometabolomics data, where there can be many metabolic steps between the measured exported metabolites in the profile and internal disruptions in the organism. However, evaluating PA methods experimentally is practically impossible when the sample's "true" metabolic disruption is unknown.
View Article and Find Full Text PDFNat Food
September 2025
International Food Policy Research Institute, Washington, DC, USA.
Nat Aging
September 2025
Aging Biomarker Consortium (ABC), Beijing, China.
The global surge in the population of people 60 years and older, including that in China, challenges healthcare systems with rising age-related diseases. To address this demographic change, the Aging Biomarker Consortium (ABC) has launched the X-Age Project to develop a comprehensive aging evaluation system tailored to the Chinese population. Our goal is to identify robust biomarkers and construct composite aging clocks that capture biological age, defined as an individual's physiological and molecular state, across diverse Chinese cohorts.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
September 2025
Faculdade de Engenharia da Universidade do Porto, INESC TEC, Porto, Portugal.
Food waste generated throughout the food supply chain raises several environmental, social, and economic issues. Quantitative methods can aid in managing food waste by describing current contexts, predicting future scenarios, and improving related operations. However, a literature review on the use of quantitative methods, specifically the descriptive, predictive, and prescriptive dimensions, to assess and prevent food waste is lacking.
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