dc.contributor.author | Sekabira, H. |
dc.contributor.author | Nansubuga, Z. |
dc.contributor.author | Ddungu, S.P. |
dc.contributor.author | Nazziwa, L. |
dc.date.accessioned | 2023-03-15T10:49:48Z |
dc.date.available | 2023-03-15T10:49:48Z |
dc.date.issued | 2022-12-16 |
dc.identifier.citation | Sekabira, H., Nansubuga, Z., Ddungu, S.P. & Nazziwa, L. (2022). Farm production diversity, household dietary diversity, and nutrition: evidence from Uganda’s national panel survey. PloS One, 17(12): e0279358: 1-23. |
dc.identifier.issn | 1932-6203 |
dc.identifier.uri | https://hdl.handle.net/20.500.12478/8090 |
dc.description.abstract | Improved food security and nutrition remain a notable global challenge. Yet, food security and nutrition are areas of strategic importance regarding the United Nations’ Sustainable Development Goals. The increasingly weakening global food production systems pose a threat to sustainable improved food security and nutrition. Consequently, a significant population remains chronically hungry and severely malnourished. As a remedy, farm production diversity (FPD) remains a viable pathway through which household nutrition can be improved. However, evidence is mixed, or unavailable on how FPD is associated with key nutrition indicators like household dietary diversity, energy, iron, zinc, and vitamin A (micronutrients). We use the Uganda National Panel Survey (UNPS) data for rural households to analyze differential associations of sub-components of FPD on dietary diversity, energy, and micronutrient intake. Panel data models reveal that indeed crop species count, and animal species count (sub-components of FPD) are differently associated with household dietary diversity score (HDDS), energy, and vitamin A sourced from markets. Moreover, when volumes of these nutrition outcomes were disaggregated by source (own farm vs. markets), the animal species count was only positively significantly associated with nutrition outcomes sourced from consumption of produce from own farm. Associations were insignificant for nutrition indicators sourced from markets except vitamin A. The crop species count, however, consistently showed a strong positive and significant association with energy, and all studied micronutrients sourced from own farm produce consumption, as well as those sourced from markets except Vitamin A, which was negative but insignificant. Therefore, inclusive, pro-poor, and pro-nutrition rural policy initiatives in the context of rural Uganda and similar ones, could more widely improve household nutrition through prioritizing crop species diversification on own farms because crops fetch wider nutrition gains. |
dc.description.sponsorship | International Fund for Agricultural Development |
dc.format.extent | 1-23 |
dc.language.iso | en |
dc.subject | Crops |
dc.subject | Farms |
dc.subject | Foods |
dc.subject | Nutrition |
dc.subject | Retinol |
dc.subject | Uganda |
dc.title | Farm production diversity, household dietary diversity, and nutrition: evidence from Uganda's national panel survey |
dc.type | Journal Article |
cg.contributor.affiliation | International Institute of Tropical Agriculture |
cg.contributor.affiliation | LADS Consult, Uganda |
cg.coverage.region | Africa |
cg.coverage.region | East Africa |
cg.coverage.country | Uganda |
cg.coverage.hub | Central Africa Hub |
cg.identifier.bibtexciteid | SEKABIRA:2022a |
cg.isijournal | ISI Journal |
cg.authorship.types | CGIAR and developing country institute |
cg.iitasubject | Agronomy |
cg.iitasubject | Farming Systems |
cg.iitasubject | Food Security |
cg.iitasubject | Smallholder Farmers |
cg.journal | PLoS ONE |
cg.notes | Open Access Journal; Published online: 16 Dec 2022 |
cg.accessibilitystatus | Open Access |
cg.reviewstatus | Peer Review |
cg.usagerightslicense | Creative Commons Attribution 4.0 (CC BY 0.0) |
cg.targetaudience | Scientists |
cg.identifier.doi | https://doi.org/10.1371/journal.pone.0279358 |
cg.iitaauthor.identifier | HARUNA SEKABIRA: 0000-0001-5675-7211 |
cg.futureupdate.required | No |
cg.identifier.issue | 12 |
cg.identifier.volume | 17 |