Household Food Security in the United States, 2004

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.

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Measuring household food security: the global experience

Revista de Nutrição ◽

10.1590/s1415-52732008000700004 ◽

2008 ◽

Vol 21 (suppl) ◽

pp. 27s-37s ◽

Cited By ~ 23

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.

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Predictors of households at risk for food insecurity in the United States during the COVID-19 pandemic

Public Health Nutrition ◽

10.1017/s1368980021000355 ◽

2021 ◽

pp. 1-19

Author(s):

Brianna N. Lauren ◽

Elisabeth R. Silver ◽

Adam S. Faye ◽

Alexandra M. Rogers ◽

Jennifer A. Woo Baidal ◽

...

Keyword(s):

United States ◽

At Risk ◽

Food Insecurity ◽

The United States ◽

Economic Stress ◽

Household Food Security ◽

Living Situation ◽

Convenience Sample ◽

Household Food ◽

Increased Risk

Abstract Objective: To examine associations between sociodemographic and mental health characteristics with household risk for food insecurity during the COVID-19 outbreak. Design: Cross-sectional online survey analyzed using univariable tests and a multivariable logistic regression model. Setting: The United States during the week of March 30, 2020. Participants: Convenience sample of 1,965 American adults using Amazon’s Mechanical Turk (MTurk) platform. Participants reporting household food insecurity prior to the pandemic were excluded from analyses. Results: 1,250 participants reported household food security before the COVID-19 outbreak. Among this subset, 41% were identified as at risk for food insecurity after COVID-19, 55% were women and 73% were white. On multivariable analysis, race, income, relationship status, living situation, anxiety, and depression were significantly associated with incident risk for food insecurity. Black, Asian, and Hispanic/Latino respondents, respondents with annual income less than $100,000, and those living with children or others were significantly more likely to be newly at risk for food insecurity. Individuals at risk for food insecurity were 2.60 (95% CI 1.91-3.55) times more likely to screen positively for anxiety and 1.71 (95% CI 1.21-2.42) times more likely to screen positively for depression. Conclusions: Increased risk for food insecurity during the COVID-19 pandemic is common, and certain populations are particularly vulnerable. There are strong associations between being at risk for food insecurity and anxiety/depression. Interventions to increase access to healthful foods, especially among minority and low-income individuals, and ease the socioemotional effects of the outbreak are crucial to relieving the economic stress of this pandemic.

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Using Household Fit Indices to Examine the Psychometric Quality of Food Insecurity Measures

Educational and Psychological Measurement ◽

10.1177/0013164417728317 ◽

2017 ◽

Vol 78 (6) ◽

pp. 1089-1107 ◽

Cited By ~ 2

Author(s):

George Engelhard ◽

Matthew P. Rabbitt ◽

Emily M. Engelhard

Keyword(s):

Food Security ◽

Food Insecurity ◽

The United States ◽

Household Food Security ◽

Household Food Insecurity ◽

Fit Indices ◽

Household Level ◽

Household Food ◽

Psychometric Quality

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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Food insecurity among households with children during the COVID-19 pandemic: results from a study among social media users across the United States

Nutrition Journal ◽

10.1186/s12937-021-00732-2 ◽

2021 ◽

Vol 20 (1) ◽

Author(s):

Niyati Parekh ◽

Shahmir H. Ali ◽

Joyce O’Connor ◽

Yesim Tozan ◽

Abbey M. Jones ◽

...

Keyword(s):

United States ◽

Social Media ◽

Food Security ◽

Food Insecurity ◽

Low Income ◽

Online Survey ◽

The United States ◽

Household Food Security ◽

United States Department ◽

Households With Children

Abstract Background In the United States, approximately 11% of households were food insecure prior to the COVID-19 pandemic. The present study aims to describe the prevalence of food insecurity among adults and households with children living in the United States during the pandemic. Methods This study utilized social media as a recruitment platform to administer an original online survey on demographics and COVID-related food insecurity. The survey was disseminated through an advertisement campaign on Facebook and affiliated platforms. Food insecurity was assessed with a validated six-item United States Department of Agriculture (USDA) Household Food Security Survey Module, which was used to create a six-point numerical food security score, where a higher score indicates lower food security. Individual-level participant demographic information was also collected. Logistic regressions (low/very-low compared with high/marginal food security) were performed to generate adjusted odds ratios (AOR) and 95%CIs for food insecurity and select demographic characteristics. Results Advertisements reached 250,701 individuals and resulted in 5,606 complete surveys. Overall, 14.7% of participants self-identified as having low or very low food security in their households, with higher prevalence (17.5%) among households with children. Unemployment (AOR:1.76, 95%CI:1.09–2.80), high school or lower education (AOR:2.25, 95%CI:1.29–3.90), and low income (AOR[$30,000-$50,000]:5.87, 95%CI:3.35–10.37; AOR[< $30,000]:10.61, 95%CI:5.50–20.80) were associated with higher odds of food insecurity in multivariable models among households with children (and the whole sample). Conclusions These data indicate exacerbation of food insecurity during the pandemic. The study will be instrumental in guiding additional research and time-sensitive interventions targeted towards vulnerable food insecure subgroups.

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Predictors of household food insecurity in the United States during the COVID-19 pandemic

10.1101/2020.06.10.20122275 ◽

2020 ◽

Cited By ~ 2

Author(s):

Brianna N Lauren ◽

Elisabeth R Silver ◽

Adam S Faye ◽

Jennifer A Woo Baidal ◽

Elissa M Ozanne ◽

...

Keyword(s):

United States ◽

Food Insecurity ◽

Online Survey ◽

Multivariable Analysis ◽

The United States ◽

Economic Stress ◽

Household Food Security ◽

Household Food Insecurity ◽

Convenience Sample ◽

Household Food

Objective: To examine associations between sociodemographic and mental health characteristics with household food insecurity as a result of the COVID-19 outbreak. Design: Cross-sectional online survey analyzed using univariable tests and a multivariable logistic regression model. Setting: The United States during the week of March 30, 2020. Participants: Convenience sample of 1,965 American adults using Amazon's Mechanical Turk (MTurk) platform. Participants reporting household food insecurity prior to the pandemic were excluded from analyses. Results: 1,517 participants reported household food security before the COVID-19 outbreak. Among this subset, 30% reported food insecurity after the COVID-19 outbreak, 53% were women and 72% were white. On multivariable analysis, race, income, relationship status, anxiety, and depression were significantly associated with incident household food insecurity. Black respondents, Hispanic/Latino respondents, and respondents with annual income less than $100,000 were significantly more likely to experience incident household food insecurity. Individuals experiencing incident household food insecurity were 2.09 (95% CI 1.58-2.83) times more likely to screen positively for anxiety and 1.88 (95% CI 1.37-2.52) times more likely to screen positively for depression. Conclusions: Food insecurity due to the COVID-19 pandemic is common, and certain populations are particularly vulnerable. There are strong associations between food insecurity and anxiety/depression. Public health interventions to increase the accessibility of healthful foods, especially for Black and Hispanic/Latino communities, are crucial to relieving the economic stress of this pandemic.

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Food Insecurity among Senior Citizens in High Out-migration Areas: Evidence from Western Nepal

10.21203/rs.2.15487/v1 ◽

2019 ◽

Author(s):

Devendra Raj Singh ◽

Saruna Ghimire ◽

Eva M Jeffers ◽

Sunita Singh ◽

Dhirendra Nath ◽

...

Keyword(s):

Food Security ◽

Food Insecurity ◽

Senior Citizens ◽

Senior Citizen ◽

The United States ◽

Household Food Security ◽

United States Department ◽

Lower Odds ◽

Household Food ◽

Food Security Status

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.

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