scholarly journals Determinants and constraints to household-level animal source food consumption in rural communities of Ethiopia

2021 ◽  
Vol 10 ◽  
Author(s):  
Alemneh Kabeta Daba ◽  
Mary Murimi ◽  
Kebede Abegaz ◽  
Dejene Hailu
Keyword(s):  
Rural Communities ◽  
Food Insecurity ◽  
Nutrition Education ◽  
Family Size ◽  
Educational Achievement ◽  
Rural Households ◽  
Cross Sectional ◽  
Household Level ◽  
Animal Source ◽  
Consumption Frequency

Abstract Animal source foods (ASF) contain quality nutrients important for growth, development, immunity and behavioural outcomes. Plant-based foods also provide the nutrients, but with lower bioavailability than ASF. Evidence on household-level ASF consumption frequency, constraints and determinants are limited for Ethiopia. Therefore, the present study aimed to assess the consumption frequency of ASF and to identify determinants and constraints among rural households in Ethiopia. A cross-sectional study was conducted in 422 households. The consumption frequency of ASF was assessed using a food frequency screener over 30 days. Twelve statements with Likert scale responses were used to identify constraints to ASF consumption. Ordinal logistic regression was used to identify determinants of ASF consumption. About a quarter (26 %) of the households consumed milk one to two times per week. One out of five households consumed eggs one to two times per week (20 %) or one to two times per month (19 %). Poultry and meat were never consumed by 92 and 60 % of the households, respectively. Unavailability, unaffordability, consumption tradition and income generation priority were constraints identified. Food insecurity, livestock ownership, income, family size and women's education were associated (P < 0⋅05) with selected ASF consumption. Rural households in Ethiopia did not consume ASF on regular basis. Poor socio-demographic and economic conditions as determined by food insecurity, property ownership, income, educational achievement, family size and ASF unavailability and unaffordability contributed to the lower consumption frequency of ASF by households in rural Ethiopia. Nutrition policies and programmes should focus on nutrition-sensitive agricultural extension, livelihood improvement and women empowerment interventions integrated with nutrition education to improve ASF consumption in rural settings.

scholarly journals Understanding Food Waste, Food Insecurity, and the Gap between the Two: A Nationwide Cross-Sectional Study in Saudi Arabia

Foods ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 681
Author(s):  
Nora A. Althumiri ◽  
Mada H. Basyouni ◽  
Ali F. Duhaim ◽  
Norah AlMousa ◽  
Mohammed F. AlJuwaysim ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Food Insecurity ◽  
Food Waste ◽  
Cross Sectional ◽  
Household Level ◽  
Individual Level ◽  
Factors Associated ◽  
Household Factors ◽  
Cooked Food ◽  
The Individual

Background: Food waste and food insecurity may co-exist in various balances in developing and developed countries. This study aimed to explore the levels of food waste and food insecurity, the factors associated with them, and their relationships at the household and individual levels in Saudi Arabia. Methods: This study was a nationwide cross-sectional survey conducted via computer-assisted phone interviews in January 2021. Quota sampling was utilized to generate balanced distributions of participants by gender across all the administrative regions of Saudi Arabia. Data collection included household demographics, food waste and disposal, the Food Insecurity Experience Scale (FIES), and the Household Food Insecurity Access Scale (HFIAS). Results: Out of the 2807 potential participants contacted, 2454 (87.4%) completed the interview. The mean age was 31.4 (SD = 11.7; range = 18–99) and 50.1% were female. The weighted prevalence of uncooked food waste in the last four weeks was 63.6% and the cooked food waste was 74.4%. However, the food insecurity weighted prevalence at the individual level (FIES) was 6.8%. In terms of food insecurity at the household level (HFIAS), 13.3% were in the “severely food insecure” category. Moreover, this study found that “moderately food insecure” households were associated with an increased likelihood to waste uncooked food (relative risk (RR) = 1.25), and the “mildly food insecure” (RR = 1.21) and “moderately food insecure” (RR = 1.17) households were associated with an increased likelihood to waste cooked food. However, “food secure” households were associated with a decreased likelihood to waste cooked food (RR = 0.56). Finally, this study identified four household factors associated with food waste and three household factors that were associated with “severe food insecurity.” Conclusions: This first national coverage study to explore food waste and food insecurity at the individual level and household level, identified household factors associated with food waste and food insecurity and identified new associations between food waste and food insecurity in Saudi Arabia. The associations found between food waste and food insecurity are potential areas of intervention to reduce both food waste and food insecurity at the same time, toward achieving the Sustainable Development Goal (SDG) targets related to food waste and food security.

scholarly journals Acute food insecurity and short-term coping strategies of urban and rural households of Bangladesh during the lockdown period of COVID-19 pandemic of 2020: report of a cross-sectional survey

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e043365
Author(s):  
Subhasish Das ◽  
Md. Golam Rasul ◽  
Md Shabab Hossain ◽  
Ar-Rafi Khan ◽  
Md Ashraful Alam ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Coping Strategies ◽  
Rural Areas ◽  
Urban Areas ◽  
Multinomial Logistic Regression ◽  
Rural Households ◽  
P Value ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Food Insecure Households

IntroductionWe conducted a cross-sectional survey to assess the extent and to identify the determinants of food insecurity and coping strategies in urban and rural households of Bangladesh during the month-long, COVID-19 lockdown period.SettingSelected urban and rural areas of Bangladesh.Participants106 urban and 106 rural households.Outcome variables and methodHousehold food insecurity status and the types of coping strategies were the outcome variables for the analyses. Multinomial logistic regression analyses were done to identify the determinants.ResultsWe found that around 90% of the households were suffering from different grades of food insecurity. Severe food insecurity was higher in urban (42%) than rural (15%) households. The rural households with mild/moderate food insecurity adopted either financial (27%) or both financial and food compromised (32%) coping strategies, but 61% of urban mild/moderate food insecure households applied both forms of coping strategies. Similarly, nearly 90% of severely food insecure households implemented both types of coping strategies. Living in poorest households was significantly associated (p value <0.05) with mild/moderate (regression coefficient, β: 15.13, 95% CI 14.43 to 15.82), and severe food insecurity (β: 16.28, 95% CI 15.58 to 16.97). The statistically significant (p <0.05) determinants of both food compromised and financial coping strategies were living in urban areas (β: 1.8, 95% CI 0.44 to 3.09), living in poorest (β: 2.7, 95% CI 1 to 4.45), poorer (β: 2.6, 95% CI 0.75 to 4.4) and even in the richer (β: 1.6, 95% CI 0.2 to 2.9) households and age of the respondent (β: 0.1, 95% CI 0.02 to 0.21).ConclusionBoth urban and rural households suffered from moderate to severe food insecurity during the month-long lockdown period in Bangladesh. But, poorest, poorer and even the richer households adopted different coping strategies that might result in long-term economic and nutritional consequences.

scholarly journals Prevalence of food insecurity at household level and its associated factors in rural Puducherry: A cross-sectional study

2020 ◽  
Vol 45 (3) ◽  
pp. 303
Author(s):  
SGanesh Kumar ◽  
Bharathnag Nagappa ◽  
Tanveer Rehman ◽  
Yamini Marimuthu ◽  
Shanthosh Priyan ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Household Level

scholarly journals Do Smallholder Farmers Need Nutrition Education? A Case Study from KwaZulu Natal, South Africa

2021 ◽  
Vol 28 (3) ◽  
pp. 14-27
Author(s):  
Sarahi Moralles ◽  
Abdukladir Egal ◽  
Wilna Oldewage-Theron
Keyword(s):  
South Africa ◽  
Food Security ◽  
Food Insecurity ◽  
Nutrition Education ◽  
Smallholder Farmers ◽  
Dietary Guidelines ◽  
Nutritional Knowledge ◽  
Household Level ◽  
Balanced Diet ◽  
Kwazulu Natal

South Africa (SA) is considered as the second largest economies in Africa with well-developed agricultural food production system. But food security is still a challenge at household level. Currently, in Africa, smallholder agriculture is recognized to contribute food security at household level. This study investigates the prevalence of food insecurity and nutritional knowledge of 78 local smallholder farmers in KwaZulu Natal (KZN) province of South Africa. The results from this study indicated that nutrition knowledge was poor and food insecurity was prevalent at >40% at the household level. It is therefore recommended that future agricultural training should include nutrition education based on FBDG (Food Based Dietary Guidelines) in their respective programs so as to attain a balanced diet for healthy and productive smallholder farmer communities

scholarly journals Household level determinants of food insecurity in rural areas of Dire Dawa, eastern Ethiopia

2009 ◽  
Vol 9 (30) ◽  
pp. 1914-1926
Author(s):  
Ayalneh Bogale ◽  
◽  
Shimelis A ◽  
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Survey Data ◽  
Rural Areas ◽  
Rural Households ◽  
Household Head ◽  
Household Food Insecurity ◽  
Household Level ◽  
Household Food ◽  
Dire Dawa

Even though the struggle to achieve food security at the household level in the rural areas of Ethiopia dates back a long period, it has remained as a challenging goal even today. Making their living on marginal, moisture stressed, heavily degraded and less productive land, households in rural areas of Dire Dawa face persistent food shortages. The design and implementation of effective measures to reduce household food insecurity in the region depends on in-depth understanding of its covariates. This study seeks to address these issues by assessing location specific socio-economic factors that influence food insecurity of households in rural areas of Dire Dawa Administrative region. The analysis is based on survey data gathered from randomly selected 115 sample rural households in the study area. A binary logit model was used to identify the factors influencing household level food insecurity. A total of thirteen explanatory variables were included in the empirical model. The empirical results estimated using the survey data to identify the determinants of food insecurity among rural households in the study area revealed mixed impressions. Among variables considered , family size, annual income, amount of credit received, access to irrigation, age of household head, farm size, and livestock owned showed theoretically consistent and statistically significant effect. However, estimated coefficients of number of oxen owned and dependency ratio showed theoretically inconsistent and statistically insignificant effect on the probability of household to be food insecure.. Estimated coefficients of sex of household head, total off-farm income, education of household head and amount of food aid received were not found to be statistically significant in determining household food insecurity in the study area. The findings imply that improvement in food security situation needs to build assets, improve the functioning of rural financial markets and promote family planning. These areas could provide entry points for policy intervention to reduce hunger and augment household and community livelihood opportunities.

How do context variables affect food insecurity in Mexico? Implications for policy and governance

2019 ◽  
Vol 23 (13) ◽  
pp. 2445-2452 ◽  
Author(s):  
Mireya Vilar-Compte ◽  
Pablo Gaitán-Rossi ◽  
Diana Flores ◽  
Vanessa Pérez-Cirera ◽  
Graciela Teruel
Keyword(s):  
Food Insecurity ◽  
Linear Models ◽  
Secondary Data ◽  
State Level ◽  
Cross Sectional ◽  
Household Level ◽  
Multiple Variables ◽  
Climate Vulnerability ◽  
Political Differences ◽  
Different Levels

AbstractObjective:To assess, from a systems perspective, how climate vulnerability and socio-economic and political differences at the municipal and state levels explain food insecurity in Mexico.Design:Using a cross-sectional design with official secondary data, we estimated three-level multinomial hierarchical linear models.Setting:The study setting is Mexico’s states and municipalities in 2014.Participants:Heads of households in a representative sample of the general population.Results:At the municipal level, vulnerability to climate disasters and a poverty index were significant predictors of food insecurity after adjusting for household-level variables. At the state level, gross domestic product and the number of nutrition programmes helped explain different levels of food insecurity but change in political party did not. Predictors varied in strength and significance according to the level of food insecurity.Conclusions:Findings evidence that, beyond food assistance programmes and household characteristics, multiple variables operating at different levels – like climate vulnerability and poverty – contribute to explain the degree of food insecurity. Food security governance is a well-suited multisectoral approach to address the complex challenge of hunger and access to a nutritious diet.

scholarly journals Food Insecurity and the Double Burden of Malnutrition in Colombian Rural Households

2021 ◽  
pp. 1-39
Author(s):  
Ana María Sansón-Rosas ◽  
Jennifer Bernal-Rivas ◽  
Stan Kubow ◽  
Andrés Suarez ◽  
Hugo Melgar-Quiñonez
Keyword(s):  
Logistic Regression ◽  
Food Insecurity ◽  
Latin American ◽  
Rural Areas ◽  
Rural Households ◽  
Household Food Insecurity ◽  
Double Burden ◽  
Cross Sectional ◽  
Household Food ◽  
Double Burden Of Malnutrition

Abstract Objective: This study aimed to examine in Colombian rural households the association between different severity levels of household food insecurity and the presence of the double burden of malnutrition (SCOWT), defined as the coexistence of a stunted child under five years and an overweight or obese (OWOB) mother. Design: A secondary data analysis was conducted using cross-sectional data from the Colombian National Nutritional Survey (ENSIN) 2015. Household food insecurity status was assessed by using the Latin-American and Caribbean Food Security Scale (ELCSA). The household SCOWT status (child stunting and OWOB mother) was determined using anthropometric data from a mother and her child. Setting: Rural Colombia Participants: 2.350 mother-child pairs living in the same household Results: Sixty-two percent of the households were food insecure and SCOWT was present in 7.8% of the households. Moderate (OR: 2.39 – CI: 1.36 - 4.21) and severe (OR: 1.86 – CI: 1.10 - 3.15) food insecurity was associated with SCOWT in an unadjusted logistic regression. Only moderate food insecurity remained significantly associated with SCOWT in a multivariate logistic regression (aOR: 2.41 - IC: 1.24 – 4.68). Conclusions: Colombian rural areas are not exempt from the worldwide concern of increasing OWOB rates while stunting is still persistent. These results highlight the need of implementing double duty rural actions targeting most vulnerable households to SCOWT, particularly in terms of overcoming food insecurity beyond hunger satisfaction to prevent all forms of malnutrition.

scholarly journals Bayesian regression model with application to a study of food insecurity in household level: a cross sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yenesew Fentahun Gebrie
Keyword(s):  
Food Insecurity ◽  
Soil Fertility ◽  
Bayesian Estimation ◽  
Agricultural Land ◽  
Household Head ◽  
Household Food Insecurity ◽  
Cross Sectional ◽  
Household Level ◽  
Household Food ◽  
Land Size

Abstract Background Food insecurity is a situation in which access to sufficient food is limited at times during the year by a lack of money and other resources. Even though several efforts were made to recover food security, still it is a critical social problem that needs immediate attention from policy and other decision makers especially in Ethiopia. The objective of the paper was to identify the significant predictors of food insecurity at household level in the given District. Method A cross-sectional survey study was employed among 305 households selected using systematic random sampling technique. The data was collected using structured interviewer administrative questionnaire. Descriptive statistics was used to assess the prevalence of food insecurity status, and Bayesian estimation on binary logistic regression was used to identify the significant predictors of household food insecurity. Gibbs sampler algorithm was employed on Win BUGS software. Convergence of algorithm was assessed by using time series plot, density plot and auto correlation plot. Result The prevalence of household food insecurity was 59% in the study District. From Bayesian estimation, the significant predictors of food insecurity were sex of household head, agro-ecological zone, loan status, access to agricultural training, age of household head, marital status of household head, family size, agricultural land size, tropical livestock unit, and soil fertility of agricultural land. Conclusion The result shows that the households headed by male; who had own land, who land fertile soil, and those who took agricultural training were less likely to be food insecure. On the other hand, households with large family size, small farm land size and less tropical livestock unit were more likely to be food insecure. Hence, to increase food production and productivity of the farmers, proper attention should be given to improve soil fertility of agricultural land. Creating access to credit to households and providing them with agricultural training and family planning should be also emphasized.

scholarly journals Factors Associated With Recommended Complementary Feeding Practices Among Children in Sidama and Oromia Regions in Ethiopia

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 164-164
Author(s):  
Ana Moyeda Carabaza ◽  
Mary Murimi ◽  
Alemneh Kabeta Daba ◽  
Jessie Vipham
Keyword(s):  
Food Insecurity ◽  
International Development ◽  
Nutrition Education ◽  
Maternal Employment ◽  
Complementary Feeding ◽  
Dietary Diversity ◽  
Feeding Practices ◽  
Cross Sectional ◽  
Factors Associated ◽  
Feed The Future

Abstract Objectives To determine complementary feeding practices (CFP) among 6-to-23-month-old children and to identify associations between maternal and household characteristics with CFP. Methods Cross-sectional study conducted among rural communities located within the Sidama and Oromia regions in Ethiopia. Pairs of mothers and their children (N = 190) were randomly selected to participate in the survey. Data was collected using the WHO Infant and Young Child Feeding indicators, Household Food Insecurity Access Scale, and Knowledge on CFP. Multivariate logistic regressions were used to analyze factors associated with CFP. Results Most (87.4%) of the children achieved minimum meal frequency, while only 27.4% achieved minimum dietary diversity (MDD) and 26.8% minimum acceptable diet (MAD). Majority (80%) of the households were food insecure, with 40% of the households reporting severe food insecurity. Half (50.0%) of participating mothers showed poor levels of knowledge on CFP. Children of employed mothers were more likely to meet MDD (P = .014) and achieve MAD (P = .034). Furthermore, children of mothers that had adequate knowledge on the recommended CFP were more likely to achieve MDD (P &lt; .001) and MAD (P &lt; .001). In contrast, children living in households with an estimated annual income lower than $254 dollars were less likely to achieve MDD (P &lt; .05) and MAD (P &lt; .05). Similarly, children living in households with moderate to severe levels of food insecurity were less likely to achieve MDD (P = .003 and P = .012, respectively) and MAD (P = .005 and P = .023, respectively). Conclusions Complementary feeding practices were suboptimal in the Sidama and Oromia region in Ethiopia. Low household income and food insecurity seem to hinder the achievement of MDD and MAD, while maternal employment and knowledge on CFP contributed to a diversified and adequate diet among children. Thus, policies and interventions that target poverty, food insecurity, maternal unemployment, and nutrition education are necessary for the improvement of CFP. Funding Sources United States Agency for International Development (USAID) Bureau for Food Security as part of Feed the Future Innovation Lab for Livestock Systems.

scholarly journals Effect of a conditional cash transference program on food insecurity in Mexican households: 2012–2016

2021 ◽  
pp. 1-10
Author(s):  
Mariana Saldivar-Frausto ◽  
Mishel Unar-Munguía ◽  
Ignacio Méndez-Gómez-Humarán ◽  
Sonia Rodríguez-Ramírez ◽  
Teresa Shamah-Levy
Keyword(s):  
Propensity Score ◽  
Food Insecurity ◽  
Social Inclusion ◽  
Cross Sectional ◽  
Household Level ◽  
The Social ◽  
Quasi Experimental ◽  
Households With Children ◽  
Positive Effect ◽  
Mexican Populations

Abstract Objective: To estimate the effects of the social inclusion programme PROSPERA on food insecurity (FI) in Mexican households during 2012 and 2016. Design: Quasi-experimental study using cross-sectional data from 2012 to 2016 National Household Income and Expenditure Survey – Socioeconomic Conditions Module (in Spanish, ENIGH-MCS). Setting: Data were used from a 2012 sample of 56 888 Mexican households (representative of 31 206 819 households) and a 2016 sample of 70 263 Mexican households (representative of 33 445 353 households). Severity of FI was estimated with the Mexican Food Security Scale (in Spanish, EMSA). The statistical analysis estimated a differences in differences (DD) model weighted by propensity score to compare program beneficiary and non-beneficiary households in 2012 than in 2016. We estimated the effect on households with and without children (< 18 years of age). We also compared this model to a DD model without propensity score weighting. Participants: Mexican households. Results: FI among all beneficiary households decreased 8·0pp as compared to non-beneficiary households over the study period. In beneficiary households with children, this decrease was 6·0pp and for beneficiary households without children, this decrease was 12·9pp (for all, P-value < 0·001). Conclusions: The PROSPERA program had a positive effect on FI reduction at the household level through increasing food access, which usually improves nutritional outcomes in vulnerable Mexican populations.

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