Rural−urban built food environment disparities in Kenya: Applying ‘vendor neighbourhood’ as a lens for built food environment characterisation

The food environment offers a strategic entry point for promoting healthier and sustainable diets. However, studies on low- and middle-income countries (LMICs) focus predominantly on urban built food environments and use limited methods for assessing food availability and vendor density. This study...

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Autores principales: Odongo, Nicanor Obiero, Akingbemisilu, Tosin Harold, Jordan, Irmgard, Bodjrenou, Fifali Sam Ulrich, Kiio, Juliana, Teuber, Ramona, Termote, Celine
Formato: Journal Article
Lenguaje:Inglés
Publicado: Elsevier 2025
Materias:
Acceso en línea:https://hdl.handle.net/10568/177289
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author Odongo, Nicanor Obiero
Akingbemisilu, Tosin Harold
Jordan, Irmgard
Bodjrenou, Fifali Sam Ulrich
Kiio, Juliana
Teuber, Ramona
Termote, Celine
author_browse Akingbemisilu, Tosin Harold
Bodjrenou, Fifali Sam Ulrich
Jordan, Irmgard
Kiio, Juliana
Odongo, Nicanor Obiero
Termote, Celine
Teuber, Ramona
author_facet Odongo, Nicanor Obiero
Akingbemisilu, Tosin Harold
Jordan, Irmgard
Bodjrenou, Fifali Sam Ulrich
Kiio, Juliana
Teuber, Ramona
Termote, Celine
author_sort Odongo, Nicanor Obiero
collection Repository of Agricultural Research Outputs (CGSpace)
description The food environment offers a strategic entry point for promoting healthier and sustainable diets. However, studies on low- and middle-income countries (LMICs) focus predominantly on urban built food environments and use limited methods for assessing food availability and vendor density. This study developed scalable methodologies to assess built food environments: a novel approach for evaluating vendor neighbourhood-level food availability and vendor density, adjusted for population and area. Research was conducted in two contrasting settings in Kenya: Viwandani ward, an informal urban settlement in Nairobi, and Kiima Kiu ward, a rural setting in Makueni County. A total of 1192 urban and 894 rural vendors were geocoded and analysed. Food diversity was assessed at the vendor and neighbourhood levels, at distances of 50m, 100m and 200m radii from any given vendor. Urban vendor density was 118 times higher than rural vendor density, but decreased to 114 times after adjusting for population size. While vendor food diversity was higher (p < 0.001) among rural vendors (3.38) than urban vendors (2.58), the vendor neighbourhood food diversity was higher (p < 0.001) in the urban (9.16) than in the rural (8.53) built food environment within a 50m radius and beyond. This study highlights the importance of applying population- and area-adjusted density metrics and vendor neighbourhood-level diversity assessments for characterising built food environments in Kenya, typical of LMICs. Our methodological approach provides a replicable framework for guiding policy interventions aimed at improving diet quality through food diversity across both urban and rural settings.
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spelling CGSpace1772892025-11-11T18:48:38Z Rural−urban built food environment disparities in Kenya: Applying ‘vendor neighbourhood’ as a lens for built food environment characterisation Odongo, Nicanor Obiero Akingbemisilu, Tosin Harold Jordan, Irmgard Bodjrenou, Fifali Sam Ulrich Kiio, Juliana Teuber, Ramona Termote, Celine food systems rural areas food access urban areas food environment The food environment offers a strategic entry point for promoting healthier and sustainable diets. However, studies on low- and middle-income countries (LMICs) focus predominantly on urban built food environments and use limited methods for assessing food availability and vendor density. This study developed scalable methodologies to assess built food environments: a novel approach for evaluating vendor neighbourhood-level food availability and vendor density, adjusted for population and area. Research was conducted in two contrasting settings in Kenya: Viwandani ward, an informal urban settlement in Nairobi, and Kiima Kiu ward, a rural setting in Makueni County. A total of 1192 urban and 894 rural vendors were geocoded and analysed. Food diversity was assessed at the vendor and neighbourhood levels, at distances of 50m, 100m and 200m radii from any given vendor. Urban vendor density was 118 times higher than rural vendor density, but decreased to 114 times after adjusting for population size. While vendor food diversity was higher (p < 0.001) among rural vendors (3.38) than urban vendors (2.58), the vendor neighbourhood food diversity was higher (p < 0.001) in the urban (9.16) than in the rural (8.53) built food environment within a 50m radius and beyond. This study highlights the importance of applying population- and area-adjusted density metrics and vendor neighbourhood-level diversity assessments for characterising built food environments in Kenya, typical of LMICs. Our methodological approach provides a replicable framework for guiding policy interventions aimed at improving diet quality through food diversity across both urban and rural settings. 2025-12 2025-10-23T12:55:26Z 2025-10-23T12:55:26Z Journal Article https://hdl.handle.net/10568/177289 en Open Access application/pdf Elsevier Odongo, N.O.; Akingbemisilu, T.H.; Jordan, I.; Bodjrenou, F.S.U.; Kiio, J.; Teuber, R.; Termote, C. (2025) Rural−urban built food environment disparities in Kenya: Applying ‘vendor neighbourhood’ as a lens for built food environment characterisation. Journal of Agriculture and Food Research 24: 102434. ISSN: 2666-1543
spellingShingle food systems
rural areas
food access
urban areas
food environment
Odongo, Nicanor Obiero
Akingbemisilu, Tosin Harold
Jordan, Irmgard
Bodjrenou, Fifali Sam Ulrich
Kiio, Juliana
Teuber, Ramona
Termote, Celine
Rural−urban built food environment disparities in Kenya: Applying ‘vendor neighbourhood’ as a lens for built food environment characterisation
title Rural−urban built food environment disparities in Kenya: Applying ‘vendor neighbourhood’ as a lens for built food environment characterisation
title_full Rural−urban built food environment disparities in Kenya: Applying ‘vendor neighbourhood’ as a lens for built food environment characterisation
title_fullStr Rural−urban built food environment disparities in Kenya: Applying ‘vendor neighbourhood’ as a lens for built food environment characterisation
title_full_unstemmed Rural−urban built food environment disparities in Kenya: Applying ‘vendor neighbourhood’ as a lens for built food environment characterisation
title_short Rural−urban built food environment disparities in Kenya: Applying ‘vendor neighbourhood’ as a lens for built food environment characterisation
title_sort rural urban built food environment disparities in kenya applying vendor neighbourhood as a lens for built food environment characterisation
topic food systems
rural areas
food access
urban areas
food environment
url https://hdl.handle.net/10568/177289
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