Application of a Theoretical Model Toward Understanding Continued Food Insecurity Post Hurricane Katrina

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.

Differences in Household Preparedness and Adaptation for COVID-19

OBJECTIVE

To quantify differences in preparedness for and adaptations to COVID-19 in a cohort sample of New York City residents.

METHODS

A proportional quota sample (n = 1020) of individuals residing in New York City during the COVID-19 pandemic participated in a Qualtrics web survey. Quotas were set for age, sex, race, and income to mirror the population of New York City based on the 2018 American Community Survey.

RESULTS

Low self-efficacy, low social support, and low sense of community increased the odds of securing provisions to prepare for COVID-19. Being an essential worker, poor mental health, and having children in the household reduced the likelihood of engaging in preparedness practices. Essential workers and individuals with probable serious mental illness were less likely to report preparedness planning for the pandemic.

CONCLUSIONS

The findings contribute to evolving theories of preparedness. There are differences across the sample in preparedness types, and different kinds of preparedness are associated with different household characteristics. Findings suggest that public officials and others concerned with population wellbeing might productively turn attention to education and outreach activities indexed to these characteristics.

COVID-19 and food insecurity in the Blackfeet Tribal Community

To examine the impact of the COVID-19 pandemic on food insecurity in the Blackfeet American Indian Tribal Community. American Indian adults residing on the Blackfeet reservation in Northwest Montana (n = 167) participated in a longitudinal survey across 4 months during the COVID-19 pandemic (August 24, 2020- November 30, 2020). Participants reported on demographics and food insecurity. We examined trajectories of food insecurity alongside COVID-19 incidence. While food insecurity was high in the Blackfeet community preceding the pandemic, 79% of our sample reported significantly greater food insecurity at the end of the study. Blackfeet women were more likely to report higher levels of food insecurity and having more people in the household predicted higher food insecurity. Longitudinal data indicate that the COVID-19 pandemic exacerbated already high levels of food insecurity in the Blackfeet community. Existing programs and policies are inadequate to address this public health concern in AI tribal communities.

Multi-scalar and multi-dimensional conceptions of social capital and mental health impacts after disaster: the case of Hurricane Harvey

While much research investigates how social capital relates to mental health after disasters, less work employs a multi-scalar, multi-dimensional social capital framework. This study applies such a construct to an analysis of novel survey data of approximately 1,000 rural and urban Texans after Hurricane Harvey struck the United States in August 2017. On the individual level, it finds that greater social support is linked to fewer mental health impacts, but that greater civic and organisational engagement is connected to greater mental health impacts. At the community level, it finds that neither a density of bridging social capital organisations nor of bonding social capital organisations is associated with poorer mental health, although a greater number of bonding organisations is related to negative mental health impacts on rural residents. The paper concludes by focusing on how individual and community social capital relationships with mental health are contingent on measurement, scale, and rural or urban location.

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.

The HOME Study: Understanding How College Students at a Hispanic Serving Institution Coped with Food Insecurity in a Pandemic

College students represent a unique population of adults, who may be more likely to experience food insecurity due to their transient circumstances, limited access to resources, and increased educational expenses. But little is known about how college students and their households mitigate food insecurity, particularly during a crisis like the COVID-19 pandemic. The Household Observations of Meals and Environments (HOME) Study described how college students in the US utilized multilevel resources, including an on-campus food pantry, to maintain food security during the pandemic. A convenience sample of college students (n = 18) were recruited from an on-campus food pantry and provided quantitative and qualitative data through online surveys and in-depth Zoom interviews. Survey data were analyzed to describe sociodemographic characteristics. In-depth interviews were recorded, transcribed, coded, and analyzed thematically to identify emergent themes. Social support and the use of an on-campus food pantry were primary factors in maintaining a food security safety net. Students faced barriers when trying to access federal and state food assistance programs and identified multilevel resources, their food security, and the role of social support as facilitators in their perceptions of food insecurity status and experiences. Findings highlight practical implications for research related to on-campus food insecurity interventions and policies to support food security among college students.

Food Insecurity in the Post-Hurricane Harvey Setting: Risks and Resources in the Midst of Uncertainty

Food insecurity is of heightened concern during and after natural disasters; higher prevalence is typically reported in post-disaster settings. The current study examines food insecurity prevalence and specific risk/resource variables that may act as barriers or advantages in accessing food in such a setting. Using a modified quota sample (n = 316), Hurricane Harvey survivors participated in face-to-face interviews and/or online surveys that assessed health, social and household factors, and sociodemographic characteristics. Using logistic regression analyses we find that social vulnerabilities, circumstantial risk, and social and psychological resources are important in determining the odds of food insecurity. Hispanic and/or Nonwhite survivors, renters, and those persons displaced during the natural disaster have higher food insecurity odds. Survivors with stronger social ties, higher levels of mastery, and a greater sense of connectedness to their community are found to have lower food insecurity odds. A more nuanced analysis of circumstantial risk finds that while the independent effects of displacement and home ownership are important, so too is the intersection of these two factors, with displaced-renters experiencing significantly higher odds than any other residence and displacement combinations, and particularly those who are homeowners not displaced during the disaster. Strategies for addressing differential risks, as well as practical approaches for implementation and education programming related to disaster recovery, are discussed.

Integrative Review of Pregnancy and Birth Outcomes After Exposure to a Hurricane

OBJECTIVE

To appraise and analyze published research on the relationships among hurricane exposure and adverse pregnancy and birth outcomes.

DATA SOURCES

A literature search was conducted in four electronic databases: CINAHL Plus, Embase, PubMed, and Web of Science. The following search terms were used: "cyclonic storms," "cesarean section," "premature birth," "fetal mortality," "low birth weight," "infant mortality," "pregnancy complications," and "pregnancy outcome."

STUDY SELECTION

Documents were included if they were peer-reviewed, full-text articles or government documents published in English through February 2020 that focused on the associations among exposure to hurricanes and adverse pregnancy and birth outcomes. The initial search yielded 211 articles, and one article was identified through a hand search. After 48 duplicates were removed, we screened the titles and abstracts of 164 articles. We conducted a full-text review of 57 articles, and 19 articles were included in the integrative review.

DATA EXTRACTION

We extracted data from the full text of each article into a standardized table with the following headings: author, year of publication, location, hurricane and year, population studied, study design, outcomes, data source, and results.

DATA SYNTHESIS

We analyzed study findings based on the outcomes of pregnancy complications, preterm birth, cesarean birth, labor and birth complications, low birth weight, abnormal newborn conditions, and fetal mortality. We synthesized data in a narrative format, and the synthesis indicated that hurricane exposure was frequently associated with pregnancy complications, preterm birth, low birth weight, cesarean birth, and abnormal newborn conditions. However, these associations were not always consistent. Extant research is limited by inconsistency among study designs and the type of hurricane exposure.

CONCLUSION

Interdisciplinary teams that include nurses, midwives, obstetricians and gynecologists, and other health care professionals should ensure that hurricane preparedness and response efforts specifically address the needs of pregnant women to mitigate adverse outcomes.

Factors Associated with Food Insecurity Following Hurricane Harvey in Texas

Food insecurity prevalence among disaster-affected households has been found to be higher than state prevalence in non-disaster times. This study applies a socio-ecological model of post-disaster food insecurity to a nested quota sample (n = 1002) recruited for a web survey from 41 Texas counties affected by Hurricane Harvey 12-15 months post-event. This analysis identifies risk and protective factors for food insecurity. Chi-square analysis was used to examine independent associations between individual, household, and social factors with food insecurity. A multivariate logistic model was fitted and adjusted odds ratios are reported. Economic instability (adjusted odds ratio (OR) 2.43; 95% Confidence Interval (CI) 1.73, 3.41), relocation due to Hurricane Harvey (OR 1.89; CI 1.15, 3.09), major home damage (OR 2.11; CI 1.12, 3.98), non-white race - black (OR 1.79; CI 1.01, 3.18), Hispanic (OR 1.67; CI 1.09, 2.54), other race (OR 4.39; CI 1.96, 9.82) - and community-based organization assistance (1.99; 1.11, 3.58) were risk factors while older age (45-64 years: 0.49; 0.32, 0.73; 65+ years 0.40; 0.22, 0.75), better physical health (0.46; 0.29, 0.71), better mental health (0.46; 0.32, 0.67), and high social support (0.37; 0.25, 0.55) were protective against food insecurity. Disaster policies and programs should address the disproportionate burden on households that relocate or have health conditions. Fostering social support networks, especially among relocated populations, may improve disaster health outcomes.

The Impact of Climate Change on the Food System in Toronto

As part of its Climate Change and Health Strategy, in 2017, Toronto Public Health engaged stakeholders from across the food system to complete a high-level vulnerability assessment of the impact of climate change on the food system in Toronto. Using the Ontario Climate Change and Health Vulnerability and Adaptation Assessment Guidelines, the City of Toronto’s High-Level Risk Assessment Tool, and a strategic framework developed by the Initiative for a Competitive Inner City, Toronto Public Health identified the most significant extreme weather event risks to food processing, distribution and access in Toronto. Risks associated with three extreme weather events that are the most likely to occur in Toronto due to climate change were analyzed: significant rain and flooding, an extended heat wave, and a major winter ice storm. The analysis finds that while extreme weather events could potentially disrupt Toronto’s food supply, the current risk of an extended, widespread food supply disruption is relatively low. However, the findings highlight that a concerted effort across the food system, including electrical and fuel providers, is needed to address other key vulnerabilities that could impact food access, especially for vulnerable populations. Interruptions to electricity will have food access and food safety impacts, while interruptions to the transportation network and fuel will have food distribution and access impacts. Actions to mitigate these risks could include addressing food access vulnerabilities through ongoing city-wide strategies and integrating food access into the City’s emergency response planning. The next steps will include engaging with multiple partners across the city to understand and strengthen the “last mile” of food distribution and develop community food resilience action plans for vulnerable neighbourhoods.

The Association between Stressful Events and Food Insecurity: Cross-Sectional Evidence from Australia

A considerable body of empirical evidence exists on the demographic and socio-economic correlates of food insecurity in Australia. An important omission from recent studies, however, is an understanding of the role of stressful life events, or stressors in explaining exposure to food insecurity. Using nationally representative data from the 2014 General Social Survey and multivariable logistic regression, this paper reports on the association between 18 discrete stressors and the likelihood of reporting food insecurity in Australia. The results, adjusted for known correlates of food insecurity and complex survey design, show that exposure to stressors significantly increased the likelihood of experiencing food insecurity. Importantly, stressors related to employment and health approximately doubled the odds of experiencing food insecurity. The results underscore the complex correlates of food insecurity and indicates that conceptually it interacts with many important social and economic problems in contemporary Australia. There is no simple fix to food insecurity and solutions require co-ordination across a range of social and economic policies.