scholarly journals Determinants of Food Insecurity in Rural Households: The Case of the Paute River Basin of Azuay Province, Ecuador

2020 ◽  
Vol 12 (3) ◽  
pp. 946
Author(s):  
Otilia Vanessa Cordero-Ahiman ◽  
Jorge Leonardo Vanegas ◽  
Pablo Beltrán-Romero ◽  
María Elena Quinde-Lituma
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
River Basin ◽  
Latin American ◽  
Rural Areas ◽  
Measurement Scale ◽  
Household Food Security ◽  
Household Food ◽  
Econometric Tests ◽  
Main Determinants

Eliminating food insecurity is one of humanity’s greatest global challenges. Thus, the purpose of this research was to analyze the factors that determine food insecurity in households in the rural area of the Paute River Basin, Azuay Province, Ecuador. Stratified sampling was used as the sampling method, with proportional affixation. Moreover, we employed the Latin American and Caribbean Household Food Security Measurement Scale (ELCSA). We estimated the main determinants of household food insecurity using two binomial logit models and one ordered logit model. For the analysis of the data, the respective statistical and econometric tests were employed. The results show that housing size and access to food security information are the most important determinants of food insecurity in the three predictive models applied in this research. This research contributes to the existing literature on food insecurity and provides important information for policymakers, especially regarding food insecurity in rural areas, which has profound economic and social implications.

scholarly journals Household food insecurity in black-slaves descendant communities in Brazil: has the legacy of slavery truly ended?

2016 ◽  
Vol 20 (8) ◽  
pp. 1513-1522 ◽  
Author(s):  
Muriel B Gubert ◽  
Anna Maria Segall-Corrêa ◽  
Ana Maria Spaniol ◽  
Jessica Pedroso ◽  
Stefanie Eugênia dos Anjos Campos Coelho ◽  
...  
Keyword(s):  
Food Security ◽  
Water Supply ◽  
Food Insecurity ◽  
Access To Health Care ◽  
Secondary Data ◽  
Measurement Scale ◽  
Household Food Security ◽  
The North ◽  
Household Food ◽  
North Brazil

AbstractObjectiveTo identify the factors associated with food insecurity among Quilombolas communities in Brazil.DesignAn analysis of secondary data assessed in the 2011 Quilombolas Census was performed. The Brazilian Food Insecurity Measurement Scale (Escala Brasileira de Insegurança Alimentar, EBIA) was used to assess household food security status. Sociodemographic conditions and access to social programmes and benefits were also evaluated.SettingNational survey census from recognized Quilombolas Brazilian territories.SubjectsQuilombolas households (n 8846).ResultsAbout half (47·8 %) of the Quilombolas lived in severely food-insecure households, with the North and Northeast regions facing the most critical situation. Households located in North Brazil, whose head of the family had less than 4 years of education, with a monthly per capita income below $US 44, without adequate sanitation and without adequate water supply had the greatest chance of experiencing moderate or severe food insecurity. Households that had access to a water supply programme for dry regions (Programa Cisternas) and an agricultural harvest subsidy programme (Programa Garantia Safra) had less chance of experiencing moderate and severe food insecurity. Households that did not have access to health care (Programa Saúde da Família) had greater chance of suffering from moderate or severe food insecurity.ConclusionsInterventions are urgently needed to strengthen and promote public policies aimed to improve living conditions and food security in Quilombolas communities.

scholarly journals Refinement of the Brazilian Household Food Insecurity Measurement Scale: Recommendation for a 14-item EBIA

2014 ◽  
Vol 27 (2) ◽  
pp. 241-251 ◽  
Author(s):  
Ana Maria Segall-Corrêa ◽  
Letícia Marin-León ◽  
Hugo Melgar-Quiñonez ◽  
Rafael Pérez-Escamilla
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Internal Validity ◽  
Sample Survey ◽  
Measurement Scale ◽  
Household Food Security ◽  
Household Food Insecurity ◽  
Household Food ◽  
Severity Scores ◽  
The Impact

OBJECTIVE: To review and refine Brazilian Household Food Insecurity Measurement Scale structure. METHODS: The study analyzed the impact of removing the item "adult lost weight" and one of two possibly redundant items on Brazilian Household Food Insecurity Measurement Scale psychometric behavior using the one-parameter logistic (Rasch) model. Brazilian Household Food Insecurity Measurement Scale psychometric behavior was analyzed with respect to acceptable adjustment values ranging from 0.7 to 1.3, and to severity scores of the items with theoretically expected gradients. The socioeconomic and food security indicators came from the 2004 National Household Sample Survey, which obtained complete answers to Brazilian Household Food Insecurity Measurement Scale items from 112,665 households. RESULTS: Removing the items "adult reduced amount..." followed by "adult ate less..." did not change the infit of the remaining items, except for "adult lost weight", whose infit increased from 1.21 to 1.56. The internal consistency and item severity scores did not change when "adult ate less" and one of the two redundant items were removed. CONCLUSION: Brazilian Household Food Insecurity Measurement Scale reanalysis reduced the number of scale items from 16 to 14 without changing its internal validity. Its use as a nationwide household food security measure is strongly recommended.

scholarly journals Comparison of different household food security assessment methods in the rural area of a Brazilian city

2018 ◽  
Vol 35 (2) ◽  
pp. 1-17
Author(s):  
Luiza Veloso Dutra ◽  
Dayane de Castro Morais ◽  
Ricardo Henrique Silva Santos ◽  
Sylvia do Carmo Castro Franceschini ◽  
Silvia Eloiza Priore
Keyword(s):  
Food Security ◽  
Nutritional Status ◽  
Food Insecurity ◽  
Rural Area ◽  
Rural Areas ◽  
Household Food Security ◽  
Security Assessment ◽  
Cross Sectional ◽  
Food Energy ◽  
Household Food

Aim: To evaluate and compare household food security situations in the rural area of a Brazilian city by three different methods: Availability of food energy at home, nutritional status and Perceptionof food insecurity. Methods: Cross-sectional study of 79 families living in 19 rural communities in a small city in Minas Gerais, Brazil, including a total of 272 residents. Families were selected by drawing lots, respecting the proportionality of families per community. The inclusion criteria included living in rural areas, inhabiting a selected household, and using food products available for consumption, by purchase and production. During family visits, nutritional status was analyzed by anthropometry, the perception of food insecurity by Food Insecurity Scale (EBIA) and availability of food energy at household for 30 days. Results: Of the 79 families of family farmers, 12.7% were considered to be unsafe for availability of food energy at household, 24.0% due to the presence of low weight at the household and 49.5% by EBIA. There was a low correlation among the methods, with differences between them (Kendall W 0.162 p <0.001). Food insecurity was associated to the presence of at least one individual aged less than 18 years old in the household. Food security classified according to EBIA was associated with an increase in the number of people living in the household, the production of vegetables and fruits. Conclusions: No single indicator can coverseveral dimensions of food security. Food Security involves a broad and multifaceted approach; therefore, its thorough evaluation requires different classification methods.

scholarly journals High food insecurity in Latinx families and associated COVID-19 infection in the Greater Bay Area, California

BMC Nutrition ◽  
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Milagro Escobar ◽  
Andrea DeCastro Mendez ◽  
Maria Romero Encinas ◽  
Sofia Villagomez ◽  
Janet M. Wojcicki
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
San Francisco ◽  
Employment Status ◽  
The United States ◽  
Household Food Security ◽  
Bay Area ◽  
Household Food ◽  
History Of ◽  
The Impact

Abstract Background Food insecurity impacts nearly one-in-four Latinx households in the United States and has been exacerbated by the novel coronavirus or COVID-19 pandemic. Methods We examined the impact of COVID-19 on household and child food security in three preexisting, longitudinal, Latinx urban cohorts in the San Francisco Bay Area (N = 375 households, 1875 individuals). Households were initially recruited during pregnancy and postpartum at Zuckerberg San Francisco General Hospital (ZSFG) and UCSF Benioff prior to the COVID-19 pandemic. For this COVID-19 sub-study, participants responded to a 15-min telephonic interview. Participants answered 18 questions from the US Food Security Food Module (US HFSSM) and questions on types of food consumption, housing and employment status, and history of COVID-19 infection as per community or hospital-based testing. Food security and insecurity levels were compared with prior year metrics. Results We found low levels of household food security in Latinx families (by cohort: 29.2%; 34.2%; 60.0%) and child food security (56.9%, 54.1%, 78.0%) with differences between cohorts explained by self-reported levels of education and employment status. Food security levels were much lower than those reported previously in two cohorts where data had been recorded from prior years. Reported history of COVID-19 infection in households was 4.8% (95% Confidence Interval (CI); 1.5–14.3%); 7.2% (95%CI, 3.6–13.9%) and 3.5% (95%CI, 1.7–7.2%) by cohort and was associated with food insecurity in the two larger cohorts (p = 0.03; p = 0.01 respectively). Conclusions Latinx families in the Bay Area with children are experiencing a sharp rise in food insecurity levels during the COVID-19 epidemic. Food insecurity, similar to other indices of poverty, is associated with increased risk for COVID-19 infection. Comprehensive interventions are needed to address food insecurity in Latinx populations and further studies are needed to better assess independent associations between household food insecurity, poor nutritional health and risk of COVID-19 infection.

scholarly journals AB0657 PERCEIVED STRESS AND FOOD INSECURITY IN PREGNANT AND POSTPARTUM WOMEN WITH RHEUMATIC DISEASES DURING THE COVID-19 PANDEMIC

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1360.3-1361
Author(s):  
L. G. Espinosa Banuelos ◽  
P. R. Ancer Rodríguez ◽  
M. G. Herrera López ◽  
C. M. Skinner Taylor ◽  
L. Pérez Barbosa ◽  
...  
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Perceived Stress ◽  
Rheumatic Diseases ◽  
Household Food Security ◽  
Postpartum Women ◽  
Depression And Anxiety ◽  
Perceived Stress Scale ◽  
Stress Scale ◽  
Household Food

Background:The SARS-CoV-2 pandemic has directly impacted the psychological and physical health of individuals worldwide, as well as the global economy. Food insecurity rates have risen especially in vulnerable countries like Mexico. Furthermore, social isolation and economic uncertainty have multiplied depression and anxiety disorders. Pregnant and postpartum women are particularly vulnerable to food insecurity, increased stress, depression, and anxiety.Objectives:The aim of this study is to determine the perception of food insecurity (FI) and perceived stress in pregnant and postpartum women with rheumatic disease during the SARS-CoV-2 pandemic.Methods:An observational, cross-sectional and descriptive study was conducted. Patients from to the pregnancy and rheumatic diseases clinic of the University Hospital “Dr. José E. González” in Northeast Mexico evaluated between August to October 2020 were included. The Spanish validated versions of the Household Food Security Access Scale (HFIAS) and the Perceived Stress Scale (PSS-10) were applied by telephonic interview. The WHO recommendations were employed to determine the appropriate intake for each food group in a week. The Kolmogorov-Smirnov test was used to determine normality of the data. The Spearman correlation coefficient and the Kruskal-Wallis test were used for statistical analysis.Results:A total of 29 women were included. Six (20.6%) women were found to have moderate or severe degrees of food insecurity. In addition, 12 (40.30%) perceived moderate and severe levels of stress in the PSS-10. No relationship was found between food insecurity and perceived stress (p= 0.059). The food groups that exceeded the recommended weekly frequency were oils and sugars exceeded 3.9 and 2.9 frequencies, respectively.Conclusion:We found that 20.6% women suffered household food insecurity and 40.3% suffered moderate and severe levels of stress. No relationship was found between food insecurity with the HIFAS scale and perceived stress measures with the PSS-10. We found that oils and sugars exceeded more by the double of the recommended frequency per week.References:[1]Pérez-Escamilla R, Cunningham K, Moran VH. COVID-19 and maternal and child food and nutrition insecurity: a complex syndemic. Matern Child Nutr. 2020;16(3):e13036. doi:10.1111/mcn.13036[2]Adams EL, Caccavale LJ, Smith D, Bean MK. Food Insecurity, the Home Food Environment, and Parent Feeding Practices in the Era of COVID-19. Obesity (Silver Spring). 2020;28(11):2056-2063. doi:10.1002/oby.22996Table 1.Socio-demographic characteristics and scale results.Age, years, mean (SD)27.5 (7.03)Diagnosis, n (%)RA16 (55.1)SLE7 (24.4)Others6 (20.6)Results per scalesHFIAS, n (%)No risk13 (44.8)Mild10 (34.4)Moderated3 (10.3)Severe3 (10.3)EPP-10, n (%)Mild17 (58.6)Moderated9 (31.0)Severe3 (10.3)SD: standard deviation, RA: Rheumatoid arthritis, SLE: Systemic lupus erythematosus, HFIAS: Household food security access component scale, EPP-10: Perceived stress scale 10 items.Disclosure of Interests:None declared.

scholarly journals Measuring household food security: the global experience

2008 ◽  
Vol 21 (suppl) ◽  
pp. 27s-37s ◽  
Author(s):  
Hugo Melgar-Quinonez ◽  
Michelle Hackett
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
The United States ◽  
Household Food Security ◽  
United States Department ◽  
Department Of Agriculture ◽  
Governmental Agencies ◽  
Household Food ◽  
Food Security Status ◽  
New Research

Measuring household food insecurity represents a challenge due to the complexity and wide array of factors associated with this phenomenon. For over one decade, researchers and agencies throughout the world have been using and assessing the validity of variations of the United States Department of Agriculture Household Food Security Supplemental Module. Thanks to numerous studies of diverse design, size, and purpose, the Household Food Security Supplemental Module has shown its suitability to directly evaluate the perceptions of individuals on their food security status. In addition, challenges and limitations are becoming clearer and new research questions are emerging as the process advances. The purpose of this article is to describe the development, validation procedures, and use of the Household Food Security Supplemental Module in very diverse settings. The most common Household Food Security Supplemental Module related studies have been conducted using criterion validity, Rasch modeling and Cronbach-Alpha Coefficient. It is critical that researchers, policy makers, governmental and non-governmental agencies intensify their efforts to further develop tools that provide valid and reliable measures of food security in diverse population groups. Additional work is needed to synthesize a universally applicable tool able to capture the global human phenomenon of food insecurity.

scholarly journals Preparing for COVID-19: Household food insecurity and vulnerability to shocks in Nairobi, Kenya

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259139
Author(s):  
Elizabeth Opiyo Onyango ◽  
Jonathan Crush ◽  
Samuel Owuor
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Emergency Preparedness ◽  
Multilevel Modelling ◽  
Household Food Security ◽  
Household Food Insecurity ◽  
Preparedness Plan ◽  
Household Food ◽  
New Policies ◽  
Social Safety Nets

An understanding of the types of shocks that disrupt and negatively impact urban household food security is of critical importance to develop relevant and targeted food security emergency preparedness policies and responses, a fact magnified by the current COVID-19 pandemic. This gap is addressed by the current study which draws from the Hungry Cities Partnership (HCP) city-wide household food insecurity survey of Nairobi city in Kenya. It uses both descriptive statistics and multilevel modelling using General Linear Mixed Models (GLMM) to examine the relationship between household food security and 16 different shocks experienced in the six months prior to the administration of the survey. The findings showed that only 29% of surveyed households were completely food secure. Of those experiencing some level of food insecurity, more experienced economic (55%) than sociopolitical (16%) and biophysical (10%) shocks. Economic shocks such as food price increases, loss of employment, and reduced income were all associated with increased food insecurity. Coupled with the lack of functioning social safety nets in Nairobi, households experiencing shocks and emergencies experience serious food insecurity and related health effects. In this context, the COVID-19 pandemic is likely to have a major negative economic impact on many vulnerable urban households. As such, there is need for new policies on urban food emergencies with a clear emergency preparedness plan for responding to major economic and other shocks that target the most vulnerable.

scholarly journals Association between Household Food Insecurity and Asthma in Korean Adults

2019 ◽  
Vol 16 (12) ◽  
pp. 2115 ◽  
Author(s):  
Seo-Hee Park ◽  
Byung-Jin Park ◽  
Dong-Hyuk Jung ◽  
Yu-Jin Kwon
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Confidence Intervals ◽  
Household Food Security ◽  
Asthma Prevalence ◽  
Household Food Insecurity ◽  
Confounding Factors ◽  
Odds Ratios ◽  
Korean Adults ◽  
Household Food

Household food insecurity has been associated with noncommunicable diseases. The aim of this study was to investigate the association between household food insecurity and asthma in Korean adults. Household food security statuses were classified into three groups: Food-secure household, food-insecure household without hunger, and food-insecure household with hunger. The odds ratios and 95% confidence intervals for the presence of asthma according to household food security status were calculated using multiple logistic regression analyses after adjusting for confounding factors. A total of 14,770 participants were included in the analysis. The prevalence of asthma was 2.6% in those with a secure food status, 3.2% in those with an insecure food status without hunger, and 7.6% in those with an insecure food status with hunger (p < 0.001). Compared with that in participants with a household food secure status, the odds ratios (95% confidence intervals) for asthma were 1.12 (0.73–1.73) in those with a food-insecure household without hunger status and 2.44 (1.33–4.46) in those with a food-insecure household with hunger status after additionally adjusting for confounding factors. We found that household food insecurity with hunger was significantly associated with asthma prevalence in Korean adults. Implementation of household food security screening and public health intervention could be helpful to prevent and reduce asthma in adults.

scholarly journals Influence of sociodemographic characteristics on different dimensions of household food insecurity in Montevideo, Uruguay

2016 ◽  
Vol 20 (4) ◽  
pp. 620-629 ◽  
Author(s):  
Máximo Rossi ◽  
Zuleika Ferre ◽  
María Rosa Curutchet ◽  
Ana Giménez ◽  
Gastón Ares
Keyword(s):  
Factor Analysis ◽  
Food Insecurity ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Latin American ◽  
Household Food Security ◽  
Household Food Insecurity ◽  
Sociodemographic Characteristics ◽  
Household Food ◽  
The Impact

AbstractObjectiveTo determine the factor structure of the Latin American & Caribbean Household Food Security Scale (ELCSA) and to study the influence of sociodemographic characteristics on each of the identified dimensions in Montevideo, Uruguay.DesignCross-sectional survey with a representative sample of urban households. Household food insecurity was measured using the ELCSA. The percentage of respondents who gave affirmative responses for each of the items of the ELCSA was determined. Exploratory factor analysis was carried out to determine the ELCSA’s factor structure. A probit model was used to determine the impact of some individual and household sociodemographic characteristics on the identified dimensions of food insecurity.SettingMetropolitan area centred on Montevideo, the capital city of Uruguay, April–September 2014.SubjectsAdults aged between 18 and 93 years (n 742).ResultsThe percentage of affirmative responses to the items of the ELCSA ranged from 4·4 to 31·7 %. Two factors were identified in the exploratory factor analysis performed on data from households without children under 18 years old, whereas three factors were identified for households with children. The identified factors were associated with different severity levels of food insecurity. Likelihood of experiencing different levels of food insecurity was affected by individual characteristics of the respondent as well as characteristics of the household.ConclusionsThe influence of sociodemographic variables varied among the ELCSA dimensions. Household income had the largest influence on all dimensions, which indicates a strong relationship between income and food insecurity.

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