The Nutrition-Sensitive Food Environment Index: A comprehensive approach to assessing food environments in association with health risks for policy decision making

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cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationInternational Center for Tropical Agricultureen
cg.contributor.affiliationBioversity Internationalen
cg.contributor.affiliationJustus Liebig University Giessenen
cg.contributor.donorEuropean Unionen
cg.contributor.donorDeutsche Gesellschaft für Internationale Zusammenarbeiten
cg.contributor.donorBiovision Foundationen
cg.contributor.donorCGIAR Trust Funden
cg.creator.identifierTosin Harold Akingbemisilu: 0000-0002-0556-9955en
cg.creator.identifierIrmgard Jordan: 0000-0002-8822-1021en
cg.creator.identifierRobert Asiimwe: 0000-0003-2786-9032en
cg.creator.identifierSam Ulrich BODJRENOU: 0000-0002-5619-3409en
cg.creator.identifierDeborah Nabuuma: 0000-0001-7055-2597en
cg.creator.identifierOnyango Kevin: 0000-0002-0196-4384en
cg.creator.identifierErmias Teferi: 0000-0003-2279-7666en
cg.creator.identifierMark Lundy: 0000-0002-5241-3777en
cg.creator.identifierCéline Termote: 0000-0003-3217-0226en
cg.identifier.doihttps://doi.org/10.55845/jos-2025-1116en
cg.issn3052-3761en
cg.issue1en
cg.journalJournal of Sustainabilityen
cg.subject.actionAreaSystems Transformation
cg.subject.alliancebiovciatFOOD SYSTEMSen
cg.subject.alliancebiovciatHEALTHen
cg.subject.alliancebiovciatNUTRITIONen
cg.subject.alliancebiovciatPOLICYen
cg.subject.impactAreaNutrition, health and food security
cg.subject.sdgSDG 2 - Zero hungeren
cg.subject.sdgSDG 3 - Good health and well-beingen
cg.subject.sdgSDG 12 - Responsible production and consumptionen
cg.volume1en
dc.contributor.authorAkingbemisilu, Tosin Harolden
dc.contributor.authorJordan, Irmgarden
dc.contributor.authorAsiimwe, Roberten
dc.contributor.authorBodjrenou, Samen
dc.contributor.authorNabuuma, Deborahen
dc.contributor.authorOdongo, Nicanoren
dc.contributor.authorOnyango, Kevin Omondien
dc.contributor.authorTeferi, Ermiasen
dc.contributor.authorTokeshi, Caseyen
dc.contributor.authorLundy, Marken
dc.contributor.authorTermote, Celineen
dc.date.accessioned2025-06-11T09:41:51Z
dc.date.available2025-06-11T09:41:51Z
dc.identifier.urihttps://hdl.handle.net/10568/175055
dc.titleThe Nutrition-Sensitive Food Environment Index: A comprehensive approach to assessing food environments in association with health risks for policy decision makingen
dcterms.abstractFood environment indices often focus on food affordability, overlooking public health aspects. This study introduces a Nutrition-Sensitive Food-Environment Index (N-FEI) that assesses the interplay between food diversity, accessibility, and water and sanitation facilities linked to malnutrition risks. Data from 17,294 food vendors collected between 2020 and 2023 in six countries were used. Sensitivity analyses, Monte Carlo simulations, and variance decomposition were conducted to validate the index’s robustness. The machine learning algorithm XGBoost was used to predict health risks from Demographic and Health Surveys (DHS) data, integrated into food environment data through geospatial techniques. The index model is scalable and adaptable for global use. Integrating comprehensive food environment assessments at the administrative census level is recommended to reduce estimation biases and to enhance the policymaking process. Future research should examine using the index for monitoring and evaluating food system transformations, tracking changes in food environments and related health outcomes.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationAkingbemisilu, T.H.; Jordan, I.; Asiimwe, R.; Bodjrenou, S.; Nabuuma, D.; Odongo, N.; Onyango, K.O.; Teferi, E..; Tokeshi, C.; Lundy, M..; Termote, C. (2025) The Nutrition-Sensitive Food Environment Index: A comprehensive approach to assessing food environments in association with health risks for policy decision making. Journal of Sustainability 1(1). ISSN: 3052-3761en
dcterms.issued2025-06-02en
dcterms.languageen
dcterms.licenseCC-BY-NC-4.0
dcterms.subjectmachine learningen
dcterms.subjectmalnutritionen
dcterms.subjectdietary diversityen
dcterms.subjectspatial analysisen
dcterms.subjectfood environmenten
dcterms.subjecthygieneen
dcterms.typeJournal Article

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