A Mixed-Methods Approach to the Development of a Disaster Food Security Framework.

BACKGROUND: Limited research on food systems and food insecurity (FI) following disasters finds contextual differences in post-disaster food systems that shape dimensions of FI. Measurement limitations make it difficult to address FI and develop effective practices for disaster-affected communities. OBJECTIVE: To develop, validate, and test a Disaster Food Security Framework (DFSF). DESIGN: Mixed-methods approach was used, including in-depth interviews to understand lived experiences during disasters; expert panel input to validate DFSF designed using responses from in-depth interviews; and quantitative testing of robustness of DFSF using the coronavirus disease 2019 pandemic as a disaster example. PARTICIPANTS AND SETTING: The in-depth interviews included participants from Vermont (n = 5), North Carolina (n = 3), and Oklahoma (n = 2) who had been living in those states during Hurricane Irene (2011), Hurricane Florence (2018), the Moore tornadoes (2013), and coronavirus disease 2019 pandemic (2020). The expert panel consisted of researchers and practitioners from different US geographical regions and food-related disciplines (n = 18). For the quantitative testing survey, data from 4 US states (New York, New Mexico, Vermont, and Maryland; n = 3,228) from the National Food Access and COVID Research Team was used. MAIN OUTCOME MEASURES: The outcomes from the in-depth interviews were dimensions of disaster FI, those from the expert panel was a content validity ratio, and those from the quantitative testing was the number of items and components to be included. ANALYSES PERFORMED: Inductive and deductive reasoning were using when reporting on the in-depth interviews and expert panel results, including frequencies. The quantitative testing was conducted using multiple correspondence analysis. RESULTS: The in-depth interviews revealed four dimensions of FI: availability (supply and donation), accessibility (economic, physical, and social), acceptability (preference and health), and agency (infrastructure and self-efficacy). The panel of experts reported high content validity for the DFSF and its dimensions (content validity ratio >0.42), thus giving higher credibility to the DFSF. Multiple correspondence analysis performed on 25 food-related variables identified one component with 13 indicators representing three of the four dimensions: availability, acceptability, and accessibility, but not agency.

The impact of a healthy checkout intervention on fruit and vegetable 'micro-pack' purchases in New Mexico.

OBJECTIVE: Produce sold as plastic-wrapped packs of two to four individual items (i.e., produce micro-packs) that are low cost and placed at checkout may appeal to shoppers with budget constraints and provide a second chance to purchase items available elsewhere in the store. This study examined the impact of an intervention that placed produce micro-packs at checkout and promoted them in grocery stores across New Mexico, USA. DESIGN: This quasi-experimental study placed produce micro-packs at checkout end-caps in thirteen stores (group 1), with eight stores serving as controls (group 2) from 1 July 2019 through 31 January 2020 (first phase). The intervention was extended to group 2 stores from 1 February 2020 through 30 June 2020 (second phase). Cashiers were directed to upsell the micro-packs to Special Supplemental Nutrition Program for Women, Infants, and Children recipients who had unspent cash value benefits for produce purchases. SETTING: Twenty-one grocery stores across New Mexico. PARTICIPANTS: Twenty-one produce items sold as micro-packs in stores from July 2019 through June 2020. RESULTS: A random effects model showed that the daily sales of micro-packs increased by 47 % during each intervention period. Group 2 stores had lower sales than group 1 stores during the first phase of the intervention. Once extended to group 2 stores, sales of micro-packs in those stores increased and sales in group 1 stores continued at the higher level. CONCLUSIONS: Placing produce micro-packs at checkout may increase produce sales and support health promotion efforts by public and private stakeholders.

Food Security, Access, and Challenges in New Mexico during COVID-19.

BACKGROUND: The novel coronavirus disease 2019 (COVID-19) pandemic disrupted food systems and economies across the United States. Public health measures, including stay-at-home orders, led to employment disruptions and food system shocks that increased barriers to food access. OBJECTIVES: We aimed to examine food insecurity and food access challenges in New Mexico (NM) during the COVID-19 pandemic. METHODS: A cross-sectional study using a validated survey was conducted in NM in May and June 2020. Adults 18 y and older were recruited through convenience sampling via email, websites, and targeted social media ads from major universities, nongovernmental organizations, state agencies, and media outlets. Survey questions assessed food insecurity and food-related challenges and worry. Bivariate and multivariate logistic regression examined relations between food insecurity and demographic characteristics. z Tests were used to compare the proportions of individuals who responded affirmatively to food challenge and worry questions between food-secure and food-insecure respondents. RESULTS: A total of 1487 residents participated in the study. Thirty percent of respondents reported experiencing food insecurity and 16% experienced very low food security since the pandemic started. Food insecurity was associated with each of 7 characteristics examined in bivariate logistic regression analyses. Multivariate logistic regression results showed that Hispanic (adjusted OR: 1.70; 95% CI: 1.18, 2.44) and female (adjusted OR: 1.78; 95% CI: 1.09, 2.90) respondents were more likely to experience food insecurity than non-Hispanic white and male respondents. Larger household sizes were associated with higher odds of food insecurity except for those in the lowest and highest income categories. z Tests showed that a higher proportion of food-insecure respondents experienced food-related challenges and worry than food-secure respondents. CONCLUSIONS: Disparities in food insecurity persisted during the COVID-19 pandemic and food-insecure individuals were more likely to report experiencing food-related challenges and worry. Researchers and policy makers in NM may consider continuing efforts to mitigate food access issues as the pandemic continues.

A Multi-Site Analysis of the Prevalence of Food Insecurity in the United States, before and during the COVID-19 Pandemic.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic profoundly affected food systems including food security. Understanding how the COVID-19 pandemic impacted food security is important to provide support and identify long-term impacts and needs. OBJECTIVE: The National Food Access and COVID research Team (NFACT) was formed to assess food security over different US study sites throughout the pandemic, using common instruments and measurements. This study presents results from 18 study sites across 15 states and nationally over the first year of the COVID-19 pandemic. METHODS: A validated survey instrument was developed and implemented in whole or part through an online survey of adults across the sites throughout the first year of the pandemic, representing 22 separate surveys. Sampling methods for each study site were convenience, representative, or high-risk targeted. Food security was measured using the USDA 6-item module. Food security prevalence was analyzed using ANOVA by sampling method to assess statistically significant differences. RESULTS: Respondents (n = 27,168) indicate higher prevalence of food insecurity (low or very low food security) since the COVID-19 pandemic, compared with before the pandemic. In nearly all study sites, there is a higher prevalence of food insecurity among Black, Indigenous, and People of Color (BIPOC), households with children, and those with job disruptions. The findings demonstrate lingering food insecurity, with high prevalence over time in sites with repeat cross-sectional surveys. There are no statistically significant differences between convenience and representative surveys, but a statistically higher prevalence of food insecurity among high-risk compared with convenience surveys. CONCLUSIONS: This comprehensive study demonstrates a higher prevalence of food insecurity in the first year of the COVID-19 pandemic. These impacts were prevalent for certain demographic groups, and most pronounced for surveys targeting high-risk populations. Results especially document the continued high levels of food insecurity, as well as the variability in estimates due to the survey implementation method.

Food Access Worries, Food Assistance Use, Purchasing Behavior, and Food Insecurity Among New Yorkers During COVID-19.

The coronavirus disease of 2019 (COVID-19) disrupted health, economy, and food systems across the United States. This cross-sectional study examined the relationship between food access worries, food assistance use, and purchasing behaviors and food insecurity during COVID-19 among residents of New York State. New Yorkers were recruited to complete a web-based survey through Qualtrics. The survey took place in the summer and fall of 2020 and asked respondents about food access worries, food assistance use, food insecurity, and food purchasing behaviors. Chi-square analysis examined the relationships between food concerns, food assistance use, purchasing behaviors, and demographic characteristics by reported food insecurity, and significant results were analyzed in a series of logistic regression models. Results showed that higher food worries, Supplemental Nutrition Assistance Program (SNAP) use, reported food assistance and delivery as food sources, and self-reported Hispanic ethnicity were associated with a higher likelihood of experiencing food insecurity. Future research is needed to assess the ongoing impacts of the pandemic on food access and food insecurity, particularly among underserved groups. Measures that provide additional money for food and improved food access can alleviate barriers to accessing enough healthy food at this time.

Impact of Employment, Essential Work, and Risk Factors on Food Access during the COVID-19 Pandemic in New York State.

The COVID-19 pandemic disrupted food systems and the economy in the U.S. and abroad. This cross-sectional study examined the direct and indirect impacts of COVID-19 on food access among low-income and Black, Indigenous, and people of color (BIPOC) in New York State. New York residents were recruited to complete a web-based survey through Qualtrics. The survey took place in May and June 2020 and asked participants about COVID-19 health impacts, risk factors, and food access. Chi-square analysis examined issues with food access experienced by demographic characteristics, work disruptions, health impacts, and household risk for contracting the virus and experiencing severe illness, and significant results were analyzed in a series of logistic regression models. After accounting for covariates, Hispanic respondents, those with likely Major Depressive Disorder, and essential workers were more likely to experience worse food access during COVID-19. Improved policies and services to address impacts on vulnerable populations such as BIPOC, those suffering from mental health disorders, and workers in lower-paying essential jobs can reduce the risk of food access issues at this time. Future research can identify how food access issues during the pandemic influenced diet quality, chronic disease risk and infection, and persistence of food access issues.

Primary and Secondary Health Impacts of COVID-19 among Minority Individuals in New York State.

In addition to the direct health impacts of COVID-19, the pandemic disrupted economic, educational, healthcare, and social systems in the US. This cross-sectional study examined the primary and secondary impacts of the COVID-19 pandemic among low-income and minority groups in New York State using the social determinants of health framework. New Yorkers were recruited to complete a web-based survey through Qualtrics. The survey took place in May and June 2020 and asked respondents about COVID-19 health impacts, risk factors, and concerns. Chi-square analysis examined the health effects experienced by race and ethnicity, and significant results were analyzed in a series of logistic regression models. Results showed disparities in the primary and secondary impacts of COVID-19. The majority of differences were reported between Hispanic and white respondents. The largest differences, in terms of magnitude, were reported between other or multiracial respondents and white respondents. Given the disproportionate burden of COVID-19 on minority populations, improved policies and programs to address impacts on lower-paying essential jobs and service positions could reduce exposure risks and improve safety for minority populations. Future research can identify the long-term health consequences of the pandemic on the social determinants of health among populations most at risk.

Heavy metal content of produce grown in San Juan County (New Mexico, USA).

The Animas River Watershed has long received discharges of naturally occurring acid rock drainage; however, on August 5, 2015, three million gallons flowed into the agricultural region of Farmington, New Mexico and the Navajo Nation. Consumers and growers in the region were fearful that produce might absorb heavy metals from contaminated irrigation water originating from these rivers. Samples were collected from the region including corn (n = 30), pumpkin (n = 10), squash (n = 10), and cucumber (n = 10) then processed and tested using inductively coupled plasma-optical emission spectrometry (ICP-OES) for concentrations of nine metals of interest. These include toxic metals: Al, As, and Pb, which were compared to the World Health Organization limits, 18.29 mg d-1, 0.192 mg d-1, and 0.05 mg kg-1, respectively and essential metals: Cr, Fe, Mn, Zn, Ca, and Cu whose levels were compared to the National Academies' dietary references for tolerable upper intake levels. Results indicate that produce grown in the region contained significantly less metal than the allowable limits, except for Pb in two corn samples. This research is the first attempt to monitor and analyze heavy metal absorption of produce in the area.

Online Grocery Shopping Knowledge, Attitudes, and Behaviors Among SNAP Participants.

OBJECTIVE: To inform policy proposals to allow online grocery shopping with Supplemental Nutrition Assistance Program (SNAP) benefits by examining relevant behaviors, knowledge, and attitudes of SNAP recipients. METHODS: This qualitative study used a purposive recruitment strategy to conduct 4 1-hour focus groups in Las Cruces, NM. Participants were SNAP recipients who do the grocery shopping for their families. Focus groups were video and audio recorded, transcribed, and coded. RESULTS: Few participants had shopped for groceries online, and participants were generally uninterested in grocery shopping online. Identified barriers were cost, quality control for perishable foods in particular, and distrust of the overall process. Participants expressed interest in suggested services aimed at increasing the benefits of shopping online. CONCLUSIONS AND IMPLICATIONS: SNAP recipients in this study have not adopted online grocery shopping for various reasons. Additional research could inform policy by investigating which participants would benefit from using SNAP benefits online and strategies for facilitating use.

Examining the influence of perceived and objective time constraints on the quality of household food purchases.

BACKGROUND: Obesity is a major public health concern in the United States. From the late 1970s through the mid-1990s, the reduction in the amount of time individuals spent preparing food coincided with changes in the food environment. This led to increased consumption of energy and contributed to the dramatic rise in obesity rates over the same period. Research and policy aimed at improving American diets has largely focused on ensuring that healthy foods are accessible and affordable. Although these are important determinants of food choice, time constraints also factors into purchasing decisions. PURPOSE: To examine the relationship between time constraints, both perceived and objective, and the quality of Americans' food purchases by income level. METHODS: USDA's National Household Food Acquisition and Purchase Survey was used to examine the relationship between time constraints (objective and perceived) and HEI-2010 score of food purchases and examines this relationship by income. It estimates an econometric model that controls for other factors that influence time resources and food choice. RESULTS: The relationship between the perceived time constraint and estimated HEI score of food purchases varied by income level, though the relationship was only significant for higher-income households, or those between 400% and 600% of the poverty line. There was no significant relationship between the objective time constraint and HEI score of food purchases. CONCLUSIONS: Nutrition education and interventions aimed at improving household food purchasing decisions may benefit from focusing on improving time management skills and emphasizing healthier convenience food substitutions when consumers feel time-constrained. Higher-income consumers eat out more frequently than lower-income consumers, so menu labeling aimed at nudging higher-income individuals to purchase healthier options could help improve food choice in these settings.

Measuring Micro-Level Effects of a New Supermarket: Do Residents Within 0.5 Mile Have Improved Dietary Behaviors?

BACKGROUND: Local and national policies to encourage supermarket opening or expansion are popular strategies for improving access to healthy food for residents in neighborhoods lacking these types of stores, yet few evaluations of such initiatives exist. OBJECTIVE: Our aim was to test whether a newly opened supermarket in the Bronx, NY, changed household availability of healthy and unhealthy food items and reported daily consumption of these items among respondents residing in close proximity (≤0.5 mile) to the new supermarket. DESIGN: This quasi-experimental study evaluated changes in purchasing and consumption habits of residents within 0.5 mile of the new supermarket as compared to residents living more than 0.5 mile from the supermarket. Data were collected through street intercept surveys at three different times: once before the store opened (March to August 2011) and in two follow-up periods (1 to 5 months and 13 to 17 months after the store opened). This study analyzed a subset of successfully geocoded resident intersections from the larger study. PARTICIPANTS/SETTING: We surveyed 3,998 residents older than the age of 18 years in two Bronx neighborhoods about their food-purchasing behaviors before the store opened and in two follow-up periods. Responses from residents whose intersections were successfully geocoded (N=3,378) were analyzed to examine the consumption and purchasing behaviors of those in close proximity to the new store. INTERVENTION: A new supermarket opened in a low-access neighborhood in the Bronx with the help of financial incentives through New York City's Food Retail Expansion to Support Health (FRESH) program. MAIN OUTCOME MEASURES: The primary outcome evaluated was the change in percent of respondents reporting that the following food items were "always available" in the home: milk, fruit juice, soda, pastries, packaged snacks, fruits, and vegetables. As a secondary outcome, we explored changes in self-reported daily servings of these items. STATISTICAL ANALYSIS PERFORMED: A difference-in-difference analysis was performed, controlling for age, education, marital status, income, sex, race, and ethnicity. RESULTS: Residents within 0.5 mile of the store had increased household availability of both healthy and unhealthy foods. After the introduction of the supermarket, the percent of residents in close proximity to the store who reported always having produce available in the home increased by 8.8% compared to those living >0.5 mile from the store in the first post-period and by 10.6% compared to those living >0.5 mile from the store in the second post-period. A similar positive increase in household availability of salty snacks and pastries was observed. Residents living in close proximity also reported greater consumption of healthy foods like produce and water, and lower intake of soft drinks and pastries. CONCLUSIONS: Given the financial support at the national and local levels to encourage supermarket development and expansion in high-need communities, it is imperative to evaluate the impact of such initiatives. Although the findings have so far been equivocal, our findings give weight to the argument that, at a micro-level, the siting of a new supermarket can indeed impact local purchasing and consumption behavior. Although purchasing for both healthy and unhealthy food items increased, reported consumption showed an increase in servings of healthy items (water, vegetables, and fruit) and a decrease in servings of unhealthy foods (soft drinks, salty snacks, and pastries).