scholarly journals Household Food Insecurity and Hunger in Selected Ethiopian Agricultural Communities: Examination of Supply and Demand Factors

2018 ◽  
Vol 7 (4) ◽  
pp. 107
Author(s):  
Getahun Ersino ◽  
Gordon Zello ◽  
Carol Henry ◽  
Nigatu Regassa
Keyword(s):  
Rural Communities ◽  
Food Insecurity ◽  
Supply And Demand ◽  
Geographic Location ◽  
Wealth Accumulation ◽  
Household Food Insecurity ◽  
Contextual Risk ◽  
Household Food ◽  
Multiple Classification Analysis ◽  
Land Size

Food insecurity and hunger are major challenges in many Ethiopian communities with repercussions on health and nutrition outcomes in vulnerable household members. The level and contextual risk factors of household food insecurity and hunger were assessed in households (n=630) from three rural communities of Ethiopia (Halaba or Zeway) using the Household Food Insecurity Access Scale and Household Hunger Scale. Multiple classification analysis was employed to explore the effects of key demand (e.g. household size, livestock) and supply (e.g. land size, frequency of production) factors and community (geographic location) as well as institutional (participation in food security programs) factors on food insecurity and hunger. Household food insecurity was unacceptably high in both districts (95% in Halaba & 67% in Zeway). Household hunger was 38% in Halaba and 18% in Zeway. Both food insecurity and hunger were significantly greater in Halaba (p<0.001), indicating an effect of geographic location. Both supply and demand factors were significant in determining household food insecurity and hunger (p<0.01); however, supply factors such as women’s access to land, land size and wealth had greater influence than the demand factors. Levels of food insecurity and hunger in both communities were very high and of serious concern. We recommend increasing the food supply, and its subsequent accessibility, for households through enhancing women’s access to land, improving income through savings and wealth accumulation, introducing more inclusive programs for women’s participation and reducing household work-burden by significantly enhancing productivity of cultivable land.

scholarly journals Household food insecurity and associated factors in rural communities: A case of Kilosa District, Tanzania

2015 ◽  
Vol 10 (52) ◽  
pp. 4783-4794 ◽  
Author(s):  
Ntwenya J ◽  
Kinabo J ◽  
Msuya J ◽  
Mamiro P ◽  
Mamiro D ◽  
...  
Keyword(s):  
Rural Communities ◽  
Food Insecurity ◽  
Associated Factors ◽  
Household Food Insecurity ◽  
Household Food

Household food insecurity but not dietary diversity is associated with children's mean micronutrient density adequacy in rural communities across Ghana

Nutrition ◽  
2019 ◽  
Vol 65 ◽  
pp. 97-102 ◽  
Author(s):  
Aaron Kobina Christian ◽  
Grace S. Marquis ◽  
Esi K. Colecraft ◽  
Anna Lartey ◽  
Rula Soueida
Keyword(s):  
Rural Communities ◽  
Food Insecurity ◽  
Dietary Diversity ◽  
Household Food Insecurity ◽  
Household Food

scholarly journals Rural and Urban Differences in Household Food Insecurity and Diet Diversity of Preschool Children (PSC) in Occidental Mindoro

2020 ◽  
Vol 54 (5) ◽  
Author(s):  
Kim Leonard G. Dela Luna ◽  
Ernani R. Bullecer
Keyword(s):  
Food Security ◽  
Preschool Children ◽  
Rural Communities ◽  
Food Insecurity ◽  
Urban Communities ◽  
Dietary Diversity ◽  
Household Food Security ◽  
Household Food Insecurity ◽  
Household Food ◽  
Rural And Urban

Objective. Rural and urban differences affect food availability, accessibility, and sustainability; thus, it has a greatimpact on household food security and dietary diversity. The relationship between the human environment andother factors threatens different domains of food systems resulting in food security. The objective of this study isto determine significant differences between the prevalence of household food security and diet diversity betweenurban and rural communities in Occidental Mindoro. Specifically, to determine the pattern of usual food intake ofpreschool children between rural and urban communities Methods. This study utilized a comparative, cross-sectional, analytic study design in order to determine theprevalence of each variable of interest in the two study areas. Radimer-Cornell Tool was utilized to assess the foodsecurity status of the household while the FAO-Dietary Diversity Score Questionnaire was used to the diversityof diet among PSC. A total of 480 (rural: n=240; urban: n=240) preschool children were recruited to participatein this study. Ratio and proportion using the point and interval estimate were used to determine the prevalencein different areas, meanwhile, chi-square of homogeneity was used to determine significant difference in the twoareas under study. Results. Food insecurity in rural communities was found to be at 56.25% (95% CI: 49.97% to 62.53%) while theprevalence in urban communities was 45.83% (95% CI: 39.53% to 52.14%). There was a significant differencein the prevalence of household food insecurity between rural and urban communities (p=0.0224). Meanwhile,the prevalence of less dietary diversity among preschool children in rural communities was 37.08% (95%: 30.97%to 43.19%) and 26.25% (CI: 20.68% to 31.82%) for urban communities. There was a significant differencein prevalence of low dietary diversity score among preschool children between rural and urban communities(p=0.0107). Conclusion. There were significant differences in terms of household food insecurity and less diverse dietbetween two community settings. Higher prevalence in rural areas signifies that there is a need to prioritize thesevulnerable communities in terms of hunger mitigation and nutrition programs. A combination of milk-rice-meat-fishwas observed in the diet of preschool children for both communities however, higher prevalence of less dietarydiversity was detected among rural communities.

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 Impact of COVID-19 on child malnutrition, obesity in women and household food insecurity in underserved urban settlements in Sri Lanka: a prospective follow up study

2021 ◽  
pp. 1-24
Author(s):  
Renuka Jayatissa ◽  
Himali Herath ◽  
Amila Gayan Perera ◽  
Thulasika Thejani Dayaratne ◽  
Nawmali Dhanuska De Alwis ◽  
...  
Keyword(s):  
Sri Lanka ◽  
Food Insecurity ◽  
Child Malnutrition ◽  
Nutrition Status ◽  
Household Food Insecurity ◽  
Follow Up Study ◽  
Household Food ◽  
Before And After ◽  
Urban Settlements

Abstract Objectives: To determine changes and factors associated with child malnutrition, obesity in women and household food insecurity before and after the first wave of COVID-19 pandemic. Design: A prospective follow up study. Setting: In 2019, the baseline Urban Health and Nutrition Study (UHNS-2019) was conducted in 603 households, which were selected randomly from 30 clusters to represent underserved urban settlements in Colombo. In the present study, 35% of households from the UHNS-2019 cohort were randomly selected for repeat interviews, one year after the baseline study and 6 months after COVID-19 pandemic in Sri Lanka. Height/length and weight of children and women were re-measured, household food insecurity was reassessed, and associated factors were gathered through interviewer administered questionnaires. Differences in measurements at baseline and follow-up studies were compared. Participants: A total of 207 households, comprising 127 women and 109 children were included. Results: The current prevalence of children with wasting and overweight was higher in the follow-up study than at baseline UHNS-2019 (18.3%vs13.7%;p=0.26 and 8.3%vs3.7%;p=0.12 respectively). There was a decrease in prevalence of child stunting (14.7%vs11.9%;p=0.37). A change was not observed in overall obesity in women, which was around 30.7%. Repeated lockdown was associated with a significant reduction in food security from 57% in UHNS-2019 to 30% in the current study (p<0.001). Conclusions: There was an increase in wasting and overweight among children while women had a persistent high prevalence of obesity. This population needs suitable interventions to improve nutrition status of children and women to minimise susceptibility to COVID-19.

scholarly journals Household food insecurity and health in a high migration area in rural Honduras

2021 ◽  
pp. 100885
Author(s):  
Sanjeev Kumar ◽  
Nicholas A. Christakis ◽  
Rafael Pérez-Escamilla
Keyword(s):  
Food Insecurity ◽  
Household Food Insecurity ◽  
Household Food ◽  
High Migration

scholarly journals Illicit Drug Use in Canada and Implications for Suicidal Behaviors, and Household Food Insecurity: Findings from a Large, Nationally Representative Survey

2021 ◽  
Vol 18 (12) ◽  
pp. 6425
Author(s):  
Nicola Luigi Bragazzi ◽  
Dan Beamish ◽  
Jude Dzevela Kong ◽  
Jianhong Wu
Keyword(s):  
Suicidal Ideation ◽  
Drug Use ◽  
Food Insecurity ◽  
Drug Users ◽  
Illicit Drug ◽  
Illicit Drug Use ◽  
Household Food Insecurity ◽  
Household Food ◽  
Suicidal Attempts ◽  
Nationally Representative

Background and Aims: Illicit drug use is an ongoing health and social issue in Canada. This study aimed to investigate the prevalence of illicit drug use and its implications for suicidal behaviors, and household food insecurity in Canada. Design: Cross-sectional population survey. Setting: Canada, using the 2015–2016 Canadian Community Health Survey, a nationally representative sample selected by stratified multi-stage probability sampling. Participants: A total of 106,850 respondents aged ≥ 12 years who had completed information on illicit drug use. Measurements: Illicit drug use was assessed through a series of questions about illicit drug use methods. Respondents who reported lifetime illicit drug use but no past-year use were considered to have prior illicit drug use. In this survey, illicit drug use included cannabis use. Findings: Overall, the prevalence of lifetime, past-year, and prior illicit drug use was 33.2% (9.8 million), 10.4% (3.1 million), and 22.7% (6.7 million), respectively. In models adjusting for sociodemographic covariates, prior illicit drug use was significantly associated with increased odds of past-year suicidal ideation (adjusted odds ratio [AOR] 1.21, 95% CI 1.04–1.40), and plans (1.48, 1.15–1.91), and past-year household food insecurity (1.27, 1.14–1.41), and the odds were much higher among prior injecting drug users than prior non-injecting drug users. No significant correlation was found between prior illicit drug use and past-year suicidal attempts, but there was a strong association between past-year illicit drug use and past-year suicidal attempts. Conclusions: Our findings suggest that even after people have stopped taking illicit drugs, prior illicit drug use, especially for prior injecting drug use, continues to be associated with increased risks of subsequent suicidal ideation, and plans, and household food insecurity.

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