{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["16(17)"],"submitter":["Eustachio Colombo P"],"pubmed_abstract":["There is great potential for reducing greenhouse gas emissions (GHGE) from public-sector meals. This paper aimed to develop a strategy for reducing GHGE in the Swedish school food supply while ensuring nutritional adequacy, affordability, and cultural acceptability. Amounts, prices and GHGE-values for all foods and drinks supplied to three schools over one year were gathered. The amounts were optimized by linear programming. Four nutritionally adequate models were developed: Model 1 minimized GHGE while constraining the relative deviation (RD) from the observed food supply, Model 2 minimized total RD while imposing stepwise GHGE reductions, Model 3 additionally constrained RD for individual foods to an upper and lower limit, and Model 4 further controlled how pair-wise ratios of 15 food gr"],"journal":["International journal of environmental research and public health"],"pagination":["E3019"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6747157"],"repository":["biostudies-literature"],"pubmed_title":["Optimizing School Food Supply: Integrating Environmental, Health, Economic, and Cultural Dimensions of Diet Sustainability with Linear Programming."],"pmcid":["PMC6747157"],"pubmed_authors":["Parlesak A","Lindroos AK","Patterson E","Schafer Elinder L","Eustachio Colombo P","Darmon N","Sonesson U"],"additional_accession":[]},"is_claimable":false,"name":"Optimizing School Food Supply: Integrating Environmental, Health, Economic, and Cultural Dimensions of Diet Sustainability with Linear Programming.","description":"There is great potential for reducing greenhouse gas emissions (GHGE) from public-sector meals. This paper aimed to develop a strategy for reducing GHGE in the Swedish school food supply while ensuring nutritional adequacy, affordability, and cultural acceptability. Amounts, prices and GHGE-values for all foods and drinks supplied to three schools over one year were gathered. The amounts were optimized by linear programming. Four nutritionally adequate models were developed: Model 1 minimized GHGE while constraining the relative deviation (RD) from the observed food supply, Model 2 minimized total RD while imposing stepwise GHGE reductions, Model 3 additionally constrained RD for individual foods to an upper and lower limit, and Model 4 further controlled how pair-wise ratios of 15 food gr","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Aug","modification":"2025-04-18T23:39:46.135Z","creation":"2019-10-11T07:06:04Z"},"accession":"S-EPMC6747157","cross_references":{"pubmed":["31438517"],"doi":["10.3390/ijerph16173019"]}}