<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>16(17)</volume><submitter>Eustachio Colombo P</submitter><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</pubmed_abstract><journal>International journal of environmental research and public health</journal><pagination>E3019</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6747157</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Optimizing School Food Supply: Integrating Environmental, Health, Economic, and Cultural Dimensions of Diet Sustainability with Linear Programming.</pubmed_title><pmcid>PMC6747157</pmcid><pubmed_authors>Parlesak A</pubmed_authors><pubmed_authors>Lindroos AK</pubmed_authors><pubmed_authors>Patterson E</pubmed_authors><pubmed_authors>Schafer Elinder L</pubmed_authors><pubmed_authors>Eustachio Colombo P</pubmed_authors><pubmed_authors>Darmon N</pubmed_authors><pubmed_authors>Sonesson U</pubmed_authors></additional><is_claimable>false</is_claimable><name>Optimizing School Food Supply: Integrating Environmental, Health, Economic, and Cultural Dimensions of Diet Sustainability with Linear Programming.</name><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</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Aug</publication><modification>2025-04-18T23:39:46.135Z</modification><creation>2019-10-11T07:06:04Z</creation></dates><accession>S-EPMC6747157</accession><cross_references><pubmed>31438517</pubmed><doi>10.3390/ijerph16173019</doi></cross_references></HashMap>