Spatial variations of household food insecurity in East Gojjam Zone, Amhara Region, Ethiopia: implications for agroecosystem-based interventions

Alemu, Zewdie Aderaw; Ahmed, Ahmed Ali; Yalew, Alemayehu Worku; Simanie, Belay

doi:10.1186/s40066-017-0113-9

Cited by 16 publications

(21 citation statements)

References 29 publications

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“…The current figure was higher than the previous study report from other studies in Ethiopia, including Addis Ababa 75% [31], Tigrai 68.8% [32], Amhara 65.3% [33], Afar 70.4% [34], Oromia 58.5 % [35], and Gojjam, Amhara 58.1% [36]. Comparatively, study reports from other countries such as South Eastern Kenya 62.7% [37] and Latin America 75% and 25%, reported moderate to severe food insecurity [38].…”

Section: Discussioncontrasting

confidence: 75%

Household Food Insecurity Evidence among Rural Pastoralist Community in South Omo, Ethiopia

Alemu

Nkosi

2022

AFSJ

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Background: Food insecurity is a significant public health problem in developing nations particularly in Ethiopia. During COVID- 19, food insecurity has worsened as result of lock down in most part of Africa as well as Ethiopia. In this regard, several studies have been conducted in central and agrarian communities, yet there is little evidence of studies on food insecurity in pastoralist communities. Thus, the study aimed to assess the burden and factors associated with food insecurity at rural pastoralist community. Methodology: A community-based, comparative cross-sectional study conducted among 536 households. Pre-tested and structured questionnaires were used to collect data. Data were entered in Epi info version 7 and exported to SPSS version 25 for data analysis. Results: The overall prevalence of food insecurity in this study area was 88% [95% CI: 88.2, 91.0]. Low land agro-ecology [(AOR=3.1, 95% CI: (1.5, 6.3)], pastoralist community [AOR=3.7, 95% CI: (1.6, 8.7)], low wealth index [(AOR=2.5, 95% CI: (1.1. 3.6)], and larger family size composition which were statistically significant with food insecurity at household level. Conclusion: The burden of food insecurity was 88% in the study area. This was substantially high level and a severe public health problem. Low wealth index, family size, and low land agro ecology were contributing factors for food insecurity. Therefore, policy makers and local administration advised to invest pastoralist income generating intervention and modernize agricultural technology to tackle food insecurity in the study area.

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Section: Discussioncontrasting

confidence: 75%

Household Food Insecurity Evidence among Rural Pastoralist Community in South Omo, Ethiopia

Alemu

Nkosi

2022

AFSJ

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“…Our study indicates that MDD among children at national and regional levels are non-random (Moran's I: 0.18 and 0.48, 0.01) in 2011 and 2016 datasets respectively, which is consistent with prior research. [30][31][32] Further, the result of regression analysis indicated that the observed variation in DD among children in Ethiopia is attributed to both individual and community-level factors. The finding of both spatial and regression analysis over the past two surveys identified high-risk regions consistently.…”

Section: Discussionmentioning

confidence: 96%

Exploring Spatial Variations and Determinants of Dietary Diversity Among Children in Ethiopia: Spatial and Multilevel Analysis Using EDHS (2011–2016)

Seboka¹,

Hailegebreal²,

Yehualashet³

et al. 2021

JMDH

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Introduction Dietary diversity has a significant impact on children’s nutritional health. For developing and implementing interventions, it is critical to understand the regional distribution of dietary diversity and underlying factors. However, the application of spatial techniques in dietary studies has not been well documented. The study’s goal was to look into the regional variances and factors that influence children’s dietary diversity. Further, we have discussed the spatial correlation of dietary diversity with nutritional status. Methods Data from the National Demographic and Health Survey were used during analyses. This work evaluated the overall dietary diversity of children aged 6–23 months based on the 2017 WHO and UNICEF classification of minimum dietary diversity (MDD). The Local Anselin Moran’s I was estimated to look into the regional variation of dietary diversity and hotspot and cold spot areas. Further, multivariate multilevel logistic regression was used for factor analyses. Results Overall, only 13.3% (95% CI: 10.2–14.7%) of children in 2011 and 24% (95% CI: 15.5–26.5%) in 2016 achieved MDD. We identified statistically significant clusters of high inadequate dietary diversity (hotspots) in the districts of northern Ethiopia, notably in the Amhara, Tigray, and Afar regions, and clusters of low inadequate dietary diversity (cold spots) in the country’s central and western regions. In both studies, the frequency of dietary diversity was significantly higher among older children, those who had media exposure, and mothers and fathers who had received formal education. Conclusion According to our findings, the MDD of children in Ethiopia, as measured by WHO dietary assessment, slightly increased from 2011 to 2016. The dietary diversity of children was distributed non-randomly in different districts across regions of Ethiopia. Localized intervention and preventative methods to improve dietary patterns and culture can be developed using existing socio-demographic factors and districts with a larger distribution of inadequate dietary diversity.

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“…This dilemma warrants targeted strategies to first identify food-vulnerable geographical locations, so as to inform prioritized interventions for the most affected areas (which may have mental health implications, yet to be examined). With some exceptions from Nigeria 25 and Ethiopia 26 , there are few recent national-level studies from sub-Saharan African (SSA) countries 27 on the spatial variability of household food insecurity. In this current study, we will use of novel spatial statistical methods to first identify geographical clusters (“hotpots”) of food insecurity, and assess its association with depression, based on panel data from the South African National Income Dynamics Study (SA-NIDS), a unique nationally-representative sample of South Africans, with geographical coordinates for each household.…”

Section: Introductionmentioning

confidence: 99%

Spatial clustering of food insecurity and its association with depression: a geospatial analysis of nationally representative South African data, 2008–2015

Tomita

Cuadros

Mabhaudhi

et al. 2020

Sci Rep

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While food insecurity is a persistent public health challenge, its long-term association with depression at a national level is unknown. We investigated the spatial heterogeneity of food insecurity and its association with depression in South Africa (SA), using nationally-representative panel data from the South African National Income Dynamics Study (years 2008-2015). Geographical clusters ("hotpots") of food insecurity were identified using Kulldorff spatial scan statistic in SaTScan. Regression models were fitted to assess association between residing in food insecure hotspot communities and depression. Surprisingly, we found food insecurity hotspots (p < 0.001) in high-suitability agricultural crop and livestock production areas with reliable rainfall and fertile soils. At baseline (N = 15,630), we found greater likelihood of depression in individuals residing in food insecure hotspot communities [adjusted relative risk (aRR) = 1.13, 95% CI:1.01-1.27] using a generalized linear regression model. When the panel analysis was limited to 8,801 participants who were depression free at baseline, residing in a food insecure hotspot community was significantly associated with higher subsequent incidence of depression (aRR = 1.11, 95% CI:1.01-1.22) using a generalized estimating equation regression model. the association persisted even after controlling for multiple socioeconomic factors and household food insecurity. We identified spatial heterogeneity of food insecurity at a national scale in SA, with a demonstrated greater risk of incident depression in hotspots. More importantly, our finding points to the "Food Security Paradox", food insecurity in areas with high food-producing potential. there is a need for place-based policy interventions that target communities vulnerable to food insecurity, to reduce the burden of depression.

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Spatial variations of household food insecurity in East Gojjam Zone, Amhara Region, Ethiopia: implications for agroecosystem-based interventions

Cited by 16 publications

References 29 publications

Household Food Insecurity Evidence among Rural Pastoralist Community in South Omo, Ethiopia

Household Food Insecurity Evidence among Rural Pastoralist Community in South Omo, Ethiopia

Exploring Spatial Variations and Determinants of Dietary Diversity Among Children in Ethiopia: Spatial and Multilevel Analysis Using EDHS (2011–2016)

Spatial clustering of food insecurity and its association with depression: a geospatial analysis of nationally representative South African data, 2008–2015

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