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

Author(s):  
Brianna N Lauren ◽  
Elisabeth R Silver ◽  
Adam S Faye ◽  
Jennifer A Woo Baidal ◽  
Elissa M Ozanne ◽  
...  

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.

2021 ◽  
pp. 1-19
Author(s):  
Brianna N. Lauren ◽  
Elisabeth R. Silver ◽  
Adam S. Faye ◽  
Alexandra M. Rogers ◽  
Jennifer A. Woo Baidal ◽  
...  

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.


2019 ◽  
Vol 10 (6) ◽  
pp. 1126-1137
Author(s):  
Andrée-Anne Fafard St-Germain ◽  
Arjumand Siddiqi

ABSTRACT Household food insecurity is a determinant of health and marker of material deprivation. Although research has shown that food insecurity is associated with numerous adverse health, developmental and nutritional outcomes among children in high-income countries, little is known about its impact on children's height, an important marker of nutritional status and physical development. We reviewed evidence on the relation between experience-based measures of food insecurity and the height of children aged 0–18 y in Canada and the United States. The search, conducted in Embase, Medline, CINAHL, ProQuest, Web of Science, and EconLit from the inception of the databases to October 2017, identified 811 records that were screened for relevance. A total of 8 peer-reviewed studies, 2 from Canada and 6 from the United States, met the inclusion criteria and were summarized. Five studies found no association between food insecurity and children's height. One study found that having taller children in the household predicted more severe food insecurity, whereas 2 studies found that more severe experiences of food insecurity were associated with shorter height among children from ethnic minority populations. These results suggest that household food insecurity may not be associated with height inequalities among children in Canada and the United States, except perhaps in certain high-risk populations. However, the few studies identified for review provide insufficient evidence to determine whether food insecurity is or is not associated with children's height in these countries. Given the importance of optimal linear growth for current and future well-being, it is critical to understand how different modifiable environmental circumstances relate to children's height to help establish priorities for intervention. Families with children are disproportionately affected by food insecurity, and more research explicitly designed to examine the association between household food insecurity and children's height in high-income countries is needed.


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.


2018 ◽  
Vol 24 (2) ◽  
pp. 213-221 ◽  
Author(s):  
Jesse J. Helton ◽  
Dylan B. Jackson ◽  
Brian B. Boutwell ◽  
Michael G. Vaughn

Nearly 13 million children in the United States live in households struggling with food insecurity. Although biosocial theories suggest a strong link between the lack of food and child maltreatment, and a handful of studies have established a correlation between nutritional deficits and family violence, it is unclear if household food insecurity itself is associated with physical and psychological child abuse apart from other issues related to poverty. The current study examines this possibility by analyzing data from the Fragile Families and Child Wellbeing Study ( n = 2,330). Sixteen percent of households were food insecure, and food insecurity at Wave 3 was associated with an increased use of parent-to-child psychological and physical aggression at the follow-up interview. This relationship held even after controlling for important covariates, such as maternal depression and impulsivity. We conclude by discussing what additional research is required, as well as how our findings might intersect with social policy on this topic.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Niyati Parekh ◽  
Shahmir H. Ali ◽  
Joyce O’Connor ◽  
Yesim Tozan ◽  
Abbey M. Jones ◽  
...  

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.


Author(s):  
Joel Berg ◽  
Angelica Gibson

Many industrialized nations have followed the lead of the United States (US) in reducing workers’ wages and cutting government safety nets, while giving their populaces the false impression that non-governmental organizations can meet the food and basic survival needs of their low-income residents. The history of the last 50 years and the global COVID-19 pandemic demonstrate why that is a mistake, leading to vastly increased household food insecurity, poverty, and hunger. This paper takes a close look at US data to help to better understand the significant impact US federal government policy measures had on limiting hunger throughout the pandemic and how we can learn from these outcomes to finally end hunger in America and other developed nations. The top three policy prescriptions vital in ending household food insecurity in the US and industrialized countries are as follows: (1) to create jobs; raise wages; make high quality healthcare and prescription medicine free; and ensure that high quality childcare, education, transportation, and broad-band access are affordable to all; (2) to enact a comprehensive “Assets Empowerment Agenda” to help low-income people move from owing to owning in order to develop middle-class wealth; and (3) when the above two steps are inadequate, ensure a robust government safety net for struggling residents that provides cash, food, and housing assistance.


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