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 Magnitude of Urban Household Food Insecurity in East Africa: A Systematic Review and Meta-Analysis

2021 ◽  
pp. 1-27
Author(s):  
Bereket Gebremichael ◽  
Biruk Beletew ◽  
Melaku Bimerew ◽  
Demewoz Haile ◽  
Sibhatu Biadgilign ◽  
...  
Keyword(s):  
Systematic Review ◽  
Food Insecurity ◽  
East Africa ◽  
Meta Analysis ◽  
Household Head ◽  
Cochrane Library ◽  
Household Food Insecurity ◽  
Cross Sectional ◽  
Urban Household ◽  
Household Food

Abstract Objective: The purpose of this study was to determine the magnitude and determinants of urban household food insecurity in East Africa. Design: Systematic review and meta-analysis Setting: Studies conducted in East Africa Participants: Seventeen studies (fifteen cross-sectional and two cohort) that enrolled 156,996 households. We used the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines to search electronic databases (PubMed, Cochrane Library, EMBASE, CINAHL, African Journals OnLine, Web of Science, Scopus and Google Scholar; date of last search: 10 June 2020) for studies reporting the prevalence and associated factors of urban household food insecurity. Results: A total of 17 studies with 156,996 households from eight countries were used for the analysis. The pooled prevalence of urban household food insecurity in East Africa was 60.91% (95%CI; 47.72–74.11; I2=100%; p<0.001) where the highest (91%) and lowest (36.5%) was observed in Sudan and Burundi, respectively. Household head educational status (illiterate) (AOR = 2.53; 95% CI: 2.11-2.95, I2=90%; p<0.01), female as household head (AOR=1.45; 95%CI: 1.16-1.75; I2=0.0%; p=0.993), large family size (AOR=1.43;95% CI:1.09-1.76, I2=0.0%; p=0.863) and poorest wealth quantile (AOR=3.95;95% CI: 1.93-5.98; I2= 57.2%, p=0.053) were factors which significantly increased odds of urban household food insecurity in East Africa. Conclusions: The prevalence of urban household food insecurity in East Africa remains high. Therefore, policies and intervention programs should be designed to reduce the high burden of food insecurity among urban households considering the identified factors.

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.

scholarly journals Association between food insecurity and anemia among women of reproductive age

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1945 ◽  
Author(s):  
Bishwajit Ghose ◽  
Shangfeng Tang ◽  
Sanni Yaya ◽  
Zhanchun Feng
Keyword(s):  
Logistic Regression ◽  
Food Insecurity ◽  
Hemoglobin Concentration ◽  
Reproductive Age ◽  
Household Food Insecurity ◽  
Women Of Reproductive Age ◽  
Cross Sectional Survey ◽  
Wealth Status ◽  
Cross Sectional ◽  
Household Food

Background:Food insecurity and hidden hunger (micronutrient deficiency) affect about two billion people globally. Household food insecurity (HFI) has been shown to be associated with one or multiple micronutrient (MMN) deficiencies among women and children. Chronic food insecurity leads to various deficiency disorders, among which anemia stands out as the most prevalent one. As a high malnutrition prevalent country, Bangladesh has one of the highest rates of anemia among all Asian countries. In this study, we wanted to investigate for any association exists between HFI and anemia among women of reproductive age in Bangladesh.Methodology:Information about demographics, socioeconomic and anemia status on 5,666 married women ageing between 13 and 40 years were collected from a nationally representative cross-sectional survey Bangladesh Demographic and Health Survey (BDHS 2011). Food security was measured by the Household Food Insecurity Access Scale (HFIAS). Capillary hemoglobin concentration (Hb) measured by HemoCue® was used as the biomarker of anemia. Data were analysed using cross-tabulation, chi-square tests and multiple logistic regression methods.Results:Anemia prevalence was 41.7%. Logistic regression showed statistically significant association with anemia and type of residency (p = 0.459; OR = 0.953, 95%CI = 0.840–1.082), wealth status (Poorest: p < 0.001; OR = 1.369, 95%CI = 1.176–1.594; and average: p = 0.030; 95%CI = 1.017–1.398), educational attainment (p < 0.001; OR = 1.276, 95%CI = 1.132–1.439) and household food insecurity (p < 0.001; 95%CI = 1.348–1.830). Women who reported food insecurity were about 1.6 times more likely to suffer from anemia compared to their food secure counterparts.Conclusion:HFI is a significant predictor of anemia among women of reproductive age in Bangladesh. Programs targeting HFI could prove beneficial for anemia reduction strategies. Gender aspects of food and nutrition insecurity should be taken into consideration in designing national anemia prevention frameworks.

scholarly journals The association between household food insecurity and obesity in Mexico: a cross-sectional study of ENSANUT MC 2016

2021 ◽  
pp. 1-11
Author(s):  
Rosa Elena Ponce-Alcala ◽  
Jose Luis Ramirez-Garcia Luna ◽  
Teresa Shamah-Levy ◽  
Hugo Melgar-Quiñonez
Keyword(s):  
Food Insecurity ◽  
Abdominal Obesity ◽  
Urban Areas ◽  
National Level ◽  
Cross Sectional Study ◽  
Household Food Insecurity ◽  
Sectional Study ◽  
Cross Sectional ◽  
Household Food ◽  
Mexican Adults

Abstract Objective: To examine the association between household food insecurity and overweight, obesity and abdominal obesity in Mexican adults. Design: Cross-sectional study. Setting: We analysed data from the Mexican Halfway National Health and Nutrition Survey 2016, a nationally representative survey that accounted for rural and urban areas in four regions of Mexico: North, Centre, Mexico City and South. Participants: Adults from 20 to 59 years old (n 5456, which represents 45 804 210 individuals at the national level). Results: 70·8 % of the Mexican adults had some degree of household food insecurity. This situation showed larger proportions (P < 0·05) among indigenous people, those living in a rural area, in the Southern region or the lowest socio-economic quintiles. The prevalence of obesity and abdominal obesity was higher in female adults (P < 0·001), with the highest proportions occurring among those experiencing severe household food insecurity. Among women, mean BMI and waist circumference were higher as household food insecurity levels increased (P < 0·001). According to multivariate logistic regression models, severe household food insecurity showed to be positively associated with obesity (OR: 2·36; P = 0·001) in Mexican adult females. Conclusions: Our findings confirm the association between household food insecurity and obesity among Mexican women. Given the socio-demographic characteristics of the food-insecure population, it is alarming that prevailing socio-economic inequalities in the country might also be contributing to the likelihood of obesity. Therefore, it is crucial to maintain and bolster surveillance systems to track both problems and implement adequate policies and interventions.

scholarly journals Household Food Insecurity and Its Association with Behavioral Problems in Children Living in Urban Slums: Findings from Karachi, Pakistan (P04-081-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Nadia Shah ◽  
Mehwish Hussain
Keyword(s):  
Food Insecurity ◽  
Behavioral Problems ◽  
Linear Regression Analysis ◽  
Urban Slums ◽  
Household Food Insecurity ◽  
Cross Sectional ◽  
Funding Sources ◽  
Household Food ◽  
Multi Stage ◽  
Almost All

Abstract Objectives To determine prevalence of Household Food Insecurity in urban slums of Karachi To assess children's behavior living in a state of food insecurity in urban slums To relate Household food insecurity with child's behavior Methods The study used a cross-sectional descriptive survey; conducted in 12 towns from all six districts of Karachi using multi-stage sampling methods. The structured questionnaire, comprised of Socio-demographic information, Household Food Insecurity Access Scale (HFIAS) and Child's behaviour questionnaire (CBQ) was conducted among 400 mothers of children bearing age 3 to 11 years living in urban slums. Correlation of HFIAS and CBQ scores were measured by Spearman's correlation coefficient. Generalized linear regression analysis was performed to determine relationship between scores of food insecurity and child behavior. Results Every two out of three households were found food insecure. 70% of households were worried for shortage of food in past month. Almost all households endured insufficient quality (95%) while 84.2% households did not have sufficient quantity of food in past month. Overall 70% mothers reported behavioral problems in their children; of which solitary and aggressiveness were the most common behavioral problems. Subsequent misbehavior reported were: avoiding going to school, stressed, impetuous, fearful, somatic complaints, bullied and not confident. Correlation between food insecurity and child misbehavior was significantly positive. One additional household with food insecurity increased 26.7% behavioral problems in children in urban slums. Conclusions Food insecurity in slum areas of Karachi is rampant. Behavioral problems in children living in areas with food insecurity are at subsequent high risk. Strategies must be derived for related interventions to reduce these psycho-social problems in addition to socioeconomic problems. Funding Sources No funding was available for the research. Authors conduction self research.

scholarly journals Comparing measures of urban food security in Accra, Ghana

Food Security ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 417-431 ◽  
Author(s):  
Cascade Tuholske ◽  
Kwaw Andam ◽  
Jordan Blekking ◽  
Tom Evans ◽  
Kelly Caylor
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Sub Saharan Africa ◽  
Poor Correlation ◽  
Household Food Insecurity ◽  
Urban Food Security ◽  
Household Level ◽  
Household Food ◽  
Sub Saharan ◽  
Food Insecurity Access

AbstractThe urban population in Sub-Saharan Africa is projected to expand by nearly 800 million people in the next 30 years. How this rapid urban transition is affecting household-level urban food security, and reverberating into broader food systems, is poorly understood. To fill this gap, we use data from a 2017 survey (n = 668) of low- and middle-income residents of Accra, Ghana, to characterize and compare the predictors of household-level food security using three established metrics: the Household Food Insecurity Access Scale (HFIAS); the Household Food Insecurity Access Prevalence (HFIAP); and the Food Consumption Score (FCS). According to HFIAP, 70% of sampled households are food insecure, but only 2% fall below acceptable thresholds measured by FCS. Only one household reported sourcing food from modern supermarkets and fewer than 3% produce food for consumption through gardening, farming, or fishing. Instead, households rely on purchased food from traditional markets, local stalls and kiosks, and street hawkers. Results from a suite of general linear models show that household assets, education, and demographic characteristics are significantly associated with food security outcomes according to HFIAS and HFIAP. The poor correlation and weak model agreement between dietary recall such as FCS, and experience-based food security metrics, like HFIAS and HFIAP, highlight limitations of employing historically rural-centric food security measurement approaches within the urban context. Given that Sub-Saharan Africa’s future is urban, our results add empirical evidence in support of the growing chorus of scholars advocating for comprehensive urban-oriented food security research and policy agendas across Sub-Saharan Africa.

scholarly journals The association of household food insecurity and HIV infection with common mental disorders among newly diagnosed tuberculosis patients in Botswana

2020 ◽  
pp. 1-9
Author(s):  
Qiao Wang ◽  
Mbatshi Dima ◽  
Ari Ho-Foster ◽  
Keneilwe Molebatsi ◽  
Chawangwa Modongo ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Hiv Infection ◽  
Food Insecurity ◽  
Common Mental Disorders ◽  
Household Food Insecurity ◽  
Depression And Anxiety ◽  
Newly Diagnosed ◽  
Cross Sectional ◽  
Household Food ◽  
Prevalence Of Depression

Abstract Objective: To determine the association between food insecurity and HIV infection with depression and anxiety among new tuberculosis (TB) patients. Design: Our cross-sectional study assessed depression, anxiety and food insecurity with Patient Health Questionnaire (PHQ-9), Zung Anxiety Self-Assessment Scale (ZUNG) and Household Food Insecurity Access Scale, respectively. Poisson regression models with robust variance were used to examine correlates of depression (PHQ-9 ≥ 10) and anxiety (ZUNG ≥ 36). Setting: Gaborone, Botswana. Participants: Patients who were newly diagnosed with TB. Results: Between January and December 2019, we enrolled 180 TB patients from primary health clinics in Botswana. Overall, 99 (55·0 %) were HIV positive, 47 (26·1 %), 85 (47·2 %) and 69 (38·5 %) indicated depression, anxiety and moderate to severe food insecurity, respectively. After adjusting for potential confounders, food insecurity was associated with a higher prevalence of depression (adjusted prevalence ratio (aPR) = 2·30; 95 % CI 1·40, 3·78) and anxiety (aPR = 1·41; 95 % CI 1·05, 1·91). Prevalence of depression and anxiety was similar between HIV-infected and HIV-uninfected participants. Estimates remained comparable when restricted to HIV-infected participants. Conclusions: Mental disorders may be affected by food insecurity among new TB patients, regardless of HIV status.

scholarly journals Predictors of household food insecurity and relationship with obesity in First Nations communities in British Columbia, Manitoba, Alberta and Ontario

2020 ◽  
pp. 1-13
Author(s):  
Ashleigh Domingo ◽  
Jerry Spiegel ◽  
Martin Guhn ◽  
Hannah Wittman ◽  
Amy Ing ◽  
...  
Keyword(s):  
Food Insecurity ◽  
First Nations ◽  
Sociodemographic Factors ◽  
Household Food Insecurity ◽  
Holistic Wellness ◽  
Cross Sectional ◽  
Household Food ◽  
Central Canada ◽  
Food Security And Nutrition ◽  
Food Insecure Households

Abstract Objective: To further understandings of household food insecurity in First Nations communities in Canada and its relationship with obesity. Design: Analysis of a cross-sectional dataset from the First Nations Food, Nutrition and Environment Study representative of First Nations communities south of the 60th parallel. Multivariate logistic regression was used to assess associations between food insecurity and sociodemographic factors, as well as the odds of obesity among food-insecure households adjusting for sociodemographic characteristics. Setting: Western and Central Canada. Participants: First Nations peoples aged ≥19 years. Results: Forty-six percent of First Nations households experienced food insecurity. Food insecurity was highest for respondents who received social assistance; had ≤10 years of education; were female; had children in the household; were 19–30 years old; resided in Alberta; and had no year-round road access into the community. Rates of obesity were highest for respondents residing in marginally food-insecure households (female 56·6 %; male 54·6 %). In gender-specific analyses, the odds of obesity were highest among marginally food-insecure households in comparison with food-secure households, for both female (OR 1·57) and male (OR 1·57) respondents, adjusting for sociodemographic variables. For males only, those in severely food-insecure (compared with food-secure) households had lower odds of obesity after adjusting for confounding (OR 0·56). Conclusions: The interrelated challenges of food insecurity and obesity in First Nations communities emphasise the need for Indigenous-led, culturally appropriate and food sovereign approaches to food security and nutrition in support of holistic wellness and prevention of chronic disease.

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