scholarly journals Measuring household food security: the global experience

2008 ◽  
Vol 21 (suppl) ◽  
pp. 27s-37s ◽  
Author(s):  
Hugo Melgar-Quinonez ◽  
Michelle Hackett

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.

2019 ◽  
Author(s):  
Devendra Raj Singh ◽  
Saruna Ghimire ◽  
Eva M Jeffers ◽  
Sunita Singh ◽  
Dhirendra Nath ◽  
...  

Abstract Background: Food insecurity is a critical public health challenge, in particular in low and middle-income countries. Nepal, a low-income country, is undergoing rapid demographic and epidemiological transitions with a growing population of senior citizens. However, the determinants of food security status among Nepali senior citizens are still unknown. This study aims to fill this gap focusing on the elderly populations in the far-western region, one of the poorest regions of the country. The study also aims to assess the potential impact of adult child migration on the food security status of the left behind elderly parents. Methods: A community-based cross-sectional study was conducted among 260 randomly selected senior citizens in the Kanchanpur district in far-western Nepal. The short form of the household food security scale, originally developed by the United States Department of Agriculture, was used to measure household food security. Associations were examined by means of logistic regression. Results: The prevalence of food insecurity, in senior citizens’ households, was 41.1%. Senior citizen households with their adult children’s migration (AOR= 0.49, 95% CI: 0.24- 0.98) had lower odds of being food insecure and households with lower family income (<$100 compared to ≥ $100) (AOR= 2.24, 95% CI: 1.08 - 4.65) had two times higher odds of being food insecure. Also, households owning a cultivable land/farm (AOR= 0.14, 95% CI: 0.05-0.37) and involved in agriculture (AOR= 0.29, 95% CI: 0.09-0.99) or business (AOR= 0.20, 95% CI: 0.05-0.74) had lower odds of being food insecure. Conclusion: The prevalence of food insecurity among households with senior citizen in Kanchanpur district was high and associated with migration status of adult children, household income and ethnicity. This calls for a greater policy response focused specifically on the households with elderly citizens and integration of gerontological evidence into the existing food security and nutrition strategies.


Author(s):  
Sue Kleve ◽  
Sue Booth ◽  
Zoe Davidson ◽  
Claire Palermo

There is limited evidence of how Australian low-to-middle income (AUD $40,000–$80,000) households maintain food security. Using a sequential explanatory mixed methods methodology, this study explored and compared the food security (FS) and insecurity (FIS) experiences of these households. An initial quantitative survey categorised participants according to food security status (the 18-item United States Department of Agriculture Household Food Security Survey Module) and income level to identify and purposefully select participants to qualitatively explore food insecurity and security experiences. Of the total number of survey participants (n = 134), 42 were categorised as low-to-middle income. Of these, a subset of 16 participants (8 FIS and 8 FS) was selected, and each participant completed an in-depth interview. The interviews explored precursors, strategies to prevent or address food insecurity, and the implications of the experience. Interview data were analysed using a thematic analysis approach. Five themes emerged from the analysis: (i) food decision experiences, (ii) assets, (iii) triggers, (iv) activation of assets, and (v) consequences and emotion related to walking the food security tightrope. The leverage points across all themes were more volatile for FIS participants. Low-to-middle income Australians are facing the challenges of trying to maintain or improve their food security status, with similarities to those described in lower income groups, and should be included in approaches to prevent or address food insecurity.


2020 ◽  
Vol 10 (6) ◽  
pp. 1306-1311
Author(s):  
Jaime S Foster ◽  
Kari Adamsons ◽  
Marlene B Schwartz ◽  
Emily A Taylor ◽  
Amy R Mobley

Abstract Food insecurity, defined as the inability to access sufficient food for an active, healthy life, affects 11.1% of the US population and is primarily assessed using the United States Department of Agriculture’s (USDA) 18-item Household Food Security Survey Module (HFSSM). The HFSSM is a self-report measure presumed to represent all household members, but it is unknown if cohabiting parents report food security differently. This pilot study aimed to determine (i) the inter-rater reliability of the HFSSM; (ii) the direction of any difference between responses to the HFSSM; and (iii) the item-level response similarities and differences among mothers and fathers of young children. Twenty-five pairs of low-income, food-insecure cohabiting parents of 2.5- to 10-year-old children participated in cognitive interviews assessing their level of food security using the USDA’s HFSSM and completed related questionnaires. Intraclass correlations were computed to compare the responses of each dyad on the HFSSM overall and by item. Results revealed that overall report of food security was significantly but weakly correlated (r = .40, p = .02) within dyads. The majority of fathers (60%) reported higher food security scores on the HFSSM than their respective female partners. Furthermore, item-level intraclass correlations revealed that some HFSSM questions had poor reliability between cohabiting parents. This research identifies that a potential shortcoming of the HFSSM is the under-reporting of food insecurity by fathers compared with mothers within the household. These findings have implications for the utility of this measure used in national monitoring of the nation’s food security.


Author(s):  
Fiona H. McKay ◽  
Bronte C. Haines ◽  
Matthew Dunn

The number of Australians seeking food aid has increased in recent years; however, the current variability in the measurement of food insecurity means that the prevalence and severity of food insecurity in Australia is likely underreported. This is compounded by infrequent national health surveys that measure food insecurity, resulting in outdated population-level food insecurity data. This review sought to investigate the breadth of food insecurity research conducted in Australia to evaluate how this construct is being measured. A systematic review was conducted to collate the available Australian research. Fifty-seven publications were reviewed. Twenty-two used a single-item measure to examine food security status; 11 used the United States Department of Agriculture (USDA) Household Food Security Survey Module (HFSSM); two used the Radimer/Cornell instrument; one used the Household Food and Nutrition Security Survey (HFNSS); while the remainder used a less rigorous or unidentified method. A wide range in prevalence and severity of food insecurity in the community was reported; food insecurity ranged from 2% to 90%, depending on the measurement tool and population under investigation. Based on the findings of this review, the authors suggest that there needs to be greater consistency in measuring food insecurity, and that work is needed to create a measure of food insecurity tailored for the Australian context. Such a tool will allow researchers to gain a clear understanding of the prevalence of food insecurity in Australia to create better policy and practice responses.


2020 ◽  
Author(s):  
Devendra Raj Singh ◽  
Saruna Ghimire ◽  
Eva M Jeffers ◽  
Sunita Singh ◽  
Dhirendra Nath ◽  
...  

Abstract Background: Food insecurity is a critical public health challenge, particularly in low and middle-income countries such as Nepal. The demographic transition has resulted in a growing population of senior citizens. However, the determinants of food insecurity among Nepali senior citizens remain unknown. This study aims to fill this gap by assessing food insecurity among the older populations in the far-western region, one of the poorest regions of the country. Further, we also aim to assess the potential association between adult children’s migration and the food insecurity status of the left behind older parents.Methods: A community-based cross-sectional study was conducted among 260 randomly selected senior citizens in the Kanchanpur district in far-western Nepal. The short form of the household food security scale, originally developed by the United States Department of Agriculture, was used to measure household food security. Associations were examined by logistic regression. Results: The prevalence of food insecurity in senior citizens’ households was 41.1%. Senior citizen households with their adult children’s migration (AOR= 0.47, 95% CI: 0.24 - 0.95) had lower odds of being food insecure whereas households with lower family income (<$100 compared to ≥ $100) had two times higher odds of being food insecure (AOR= 2.26, 95% CI: 1.08 - 4.76). Also, households owning a cultivable land/farm (AOR= 0.14, 95% CI: 0.05-0.40), primary source of income as service/pension (AOR= 0.26, 95% CI: 0.08 - 0.89) or business (AOR= 0.15, 95% CI: 0.03 - 0.59) and participants who received geriatric allowances (AOR=0.05, 95% CI=0.01- 0.16) had lower odds of being food insecure. Conclusion: The prevalence of food insecurity among households with a senior citizen in Kanchanpur district was high and associated with the migration status of adult children, and household socioeconomic status. This calls for a greater policy response focused specifically on households with older adults and the integration of gerontological evidence into the existing food security and nutrition strategies.


BMC Nutrition ◽  
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Milagro Escobar ◽  
Andrea DeCastro Mendez ◽  
Maria Romero Encinas ◽  
Sofia Villagomez ◽  
Janet M. Wojcicki

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.


2010 ◽  
Vol 13 (10) ◽  
pp. 1609-1613 ◽  
Author(s):  
Assieh Mohammadzadeh ◽  
Ahmadreza Dorosty ◽  
Mohammadreza Eshraghian

AbstractObjectiveThe present study was designed to determine household food security status and factors associated with food insecurity among high-school students in Esfahan, Iran.DesignCross-sectional surveys.SettingThe present study was conducted in autumn 2008 in Esfahan, Iran. The samples were selected using systematic cluster sampling. Socio-economic questionnaires, food security questionnaires and FFQ were filled out during face-to-face interviews. In addition, data on participants’ weights and heights were collected.SubjectsA total of 580 students (261 boys and 319 girls) aged 14–17 years from forty high schools in Esfahan, Iran, were selected.ResultsThe prevalence of household food insecurity according to the US Department of Agriculture food security questionnaire was 36·6 % (95 % CI 0·33, 0·40). Food insecurity was positively associated with number of members in the household (P < 0·05) and negatively associated with parental education level and job status and household economic status (P < 0·05). Moreover, students living in food-insecure households more frequently consumed bread, macaroni, potato and egg (P < 0·05), while they less frequently consumed rice, red meat, sausage and hamburger, poultry, fish, green vegetables, root and bulb (coloured) vegetables, melons, apples and oranges, milk and yoghurt (P < 0·05).ConclusionsFood insecurity was prevalent among households in Esfahan, Iran, and food security status was associated with socio-economic factors. Students who belonged to food-secure households more frequently consumed healthy foods (except sausage and hamburger), whereas those living in food-insecure households more frequently consumed cheap foods containing high energy per kilogram. The present study suggests that intervention programmes be designed and carried out.


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Sara Benjamin-Neelon ◽  
Moira Differding ◽  
Noel Mueller

Abstract Objectives Infancy represents a critical period for growth and development. Food insecurity (defined as the limited availability of nutritionally adequate and safe foods) in early life may have both immediate and long-term health implications. Some limited evidence suggests that food insecurity in adults may influence the gut microbiota composition, perhaps through a lack of dietary diversity. A number of studies also link malnutrition with alterations in the gut microbiota in children. However, associations between food insecurity and the gut microbiota have yet to be explored in children and especially in infants, who may have had little exposure to foods other than human milk and formula. Methods Participants were from the Nurture study, a birth cohort of predominately black women and their infants residing in the southeastern United States. We collected stool samples from 68 infants 3 months after birth. Our exposure was household food security status assessed when infants were between 2 and 3 months. We used the US Household Food Security Survey Module: Six-Item Short Form. We grouped scores of 0–1 (full or marginal food security) as food secure and 2–6 (low or very low food security) as food insecure, consistent with prior studies. For the 3-month outcome, we used an Illumina MiSeq to conduct paired-end sequencing of the 16S rRNA V4 region. We used beta-binomial regression to determine differential abundance of microbiota according to food security status. Two-sided FDR corrected P-values < 0.05 were considered significant. We adjusted for delivery method (C-section versus vaginal), breastfeeding (never versus any), and timing of introduction to solid foods (at or before 3 months versus after 3 months of age). Results Demographic characteristics of mothers and infants from food insecure households (n = 20) resembled those from food secure households (n = 45). The relative abundance of 16 microbial amplicon sequence variants were lower in food insecure infants, and 3 microbial amplicon sequence variants were higher in food secure infants (Figure). Conclusions Findings from our birth cohort suggest that infants from food insecure households had altered gut microbiota composition at 3 months of age. Future research is warranted to provide mechanistic insight into these potentially novel associations. Funding Sources NIDDK, National Institutes of Health. Supporting Tables, Images and/or Graphs


2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Zinat Mortazavi ◽  
Ahmad Reza Dorosty ◽  
Mohammad Reza Eshraghian ◽  
Mohtasham Ghaffari ◽  
Alireza Ansari-Moghaddam ◽  
...  

Background.Today, more than one billion people globally suffer from poverty and food insecurity. This study aimed to determine the severity of and factors related to household food insecurity in Zahedan, Southeastern Iran.Methods.This cross-sectional study was conducted on a total of 2,160 households between November 2014 and December 2015. Demographic and socioeconomic data were collected through interviewing the household mothers. Household food security status was assessed through the USDA 18-item questionnaire. The data were analyzed using chi-square test, one-way ANOVA, and logistic regression model.Results.Total food insecurity in the households investigated was 58.8%. There were significant associations (P<0.001) between household food insecurity status and the socioeconomic status of the households, ethnicity, education, age, and employment status of the head of the household and the mother of the household.Discussion.The results showed that more than half of the households examined suffer from food insecurity. Interventions to improve the food security status of people should be designed and implemented to improve people’s knowledge, skills, and attitudes related to healthy eating and food preparation. People’s access to healthy foods and knowledge of how to select healthy foods (especially on a limited budget) should also be improved.


2017 ◽  
Vol 78 (6) ◽  
pp. 1089-1107 ◽  
Author(s):  
George Engelhard ◽  
Matthew P. Rabbitt ◽  
Emily M. Engelhard

This study focuses on model–data fit with a particular emphasis on household-level fit within the context of measuring household food insecurity. Household fit indices are used to examine the psychometric quality of household-level measures of food insecurity. In the United States, measures of food insecurity are commonly obtained from the U.S. Household Food Security Survey Module (HFSSM, 18 items) of the Current Population Survey Food Security Supplement (CPS-FSS). These measures, in various forms, are used to inform national programs and policies related to food insecurity. Data for low-income households with children from recent administrations of the HFSSM (2012-2014) are used in this study ( N = 7,324). The results suggest that there are detectable levels of misfit with Infit mean square error (MSE) statistics ranging from 6.73 % to 21.33% and Outfit MSE statistics ranging from 5.31% to 9.68%. The data suggest for Outfit MSE statistics that (a) male respondents, (b) respondents with lower levels of education, and (c) respondents who did not report participating in SNAP (Supplemental Nutrition Assistance Program, formerly the Food Stamp Program) tend to have more misfit. For Infit MSE statistics, lack of homeownership appears to be a predictor of misfit. The implications of this research for future research, theory, and policy related to the measurement of household food insecurity are discussed.


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