Employment Loss and Food Insecurity - Race and Sex Disparities in the Context of COVID-19

Predictors of Food Insecurity and Food Assistance Program Usage Among Puerto Ricans Before and During the COVID-19 Pandemic in Holyoke, Massachusetts

BACKGROUND/OBJECTIVES

Puerto Rican households often face elevated rates of food insecurity. Frequently, households experiencing food insecurity turn to federal and emergency nutrition assistance for urgent or prolonged aid. This study analyzes factors influencing food insecurity and food assistance program involvement among Puerto Ricans in Holyoke, Massachusetts, amidst the COVID-19 pandemic.

METHODS

Using a combination of community-based participatory recruitment, purposive sampling, and web-based tools, we collected 284 survey responses. Our paper employed Pearson's chi-square, logistic regression, and hierarchical linear models to assess relationships between demographic and household attributes and food access outcomes.

RESULTS

Variables such as having children in the household and age significantly influenced food relief participation and food insecurity outcomes. Puerto Rican heritage and low educational attainment were strong predictors of obtaining federal food aid. Low-income participants disproportionately faced food shortages and depended on emergency food initiatives. Our findings indicate that demographic and household factors significantly influence food insecurity and accessibility.

CONCLUSIONS

Our study demonstrates that the pandemic made it challenging for households to obtain consistent, safe, and affordable nourishment. The impacts were unequally spread; hence, Puerto Rican communities and low-income groups were most affected.

Patterns of COVID-19 related lifestyle disruptions and their associations with mental health outcomes among youth and young adults

The COVID-19 pandemic is a socionatural disaster that has disrupted the lives of individuals, families, and communities. Youth and young adults (YYA) were uniquely vulnerable to the proximal mental health effects of the pandemic; however, few studies have examined the long-term mental health effects of the pandemic. In the present study, we sought to (a) identity distinctive profiles of COVID-related lifestyle disruptions experienced by YYA, (b) investigate sociodemographic characteristics correlates of profile membership, and (c) examine the extent to which profile membership was prospectively associated with changes in depressive and anxiety symptoms. Hypothesis were tested using latent profile analysis with data from 1055 YYA collected across two time-points, 6-months apart. Results produced a three-class model: low- (11%), moderate- (61%), and high-levels of (28%) disruption. Members of the high levels of disruption group were more likely to identify as Black or Latinx American, bisexual/pansexual, or as transgender or gender diverse in comparison to the low levels of disruption group. Inclusion in the high levels of disruption group was associated with increases in depressive and anxiety symptoms from T1 to T2. YYA from multiple marginalize communities (i. e. those who identified as both racial/ethnic and sexual/gender minorities) experienced the greatest levels of lifestyle disruption related to COVID-19. Consequently, disruptive effects of the COVID-19 pandemic prospectively eroded their mental health. YYA are in urgent need of developmentally appropriate resources to effectively recovery from the pandemic.

Promoting Health Equity Through the Power of Place, Perspective, and Partnership

The 10 articles in the Preventing Chronic Disease (PCD) special collection on health equity highlight that a commitment to self-reflection, cultural humility, and lifelong learning are foundations of health equity science and that the field is interdependent with the perspectives and context of communities.Three themes - place, perspective, and partnership - emerged from the PCD special collection. The articles embody the principles outlined in the Healthy People definition of health equity and CDC's CORE Health Equity Science and Intervention Strategy. They highlight the critical role that context, qualitative methods, and community-based participatory research play in efforts to achieve health equity. However, the science of achieving health equity is rooted in antiracism principles; the "inner work" of learning, unlearning, relearning, and co-learning; and the efforts to equip communities to act, research, and intervene for themselves. Without these added critical structural lenses, health equity science will continue to fail to achieve its goal.

Food Insecurity and COVID-19 Infection: Findings From the 2020-2021 National Health Interview Survey

Introduction

The purpose of this study was to examine the sociodemographic and health-related factors associated with food insecurity and the association between food insecurity and COVID-19 infection using a nationally representative sample in the U.S.

Methods

Cross-sectional data of 61,050 adults (aged ≥18 years) from the 2020 and 2021 National Health Interview Survey were analyzed. Food insecurity was measured by the 10-item U.S. Department of Agriculture Food Security Survey Module. Weighted multivariable logistic regression models were used to estimate associations with food insecurity.

Results

A total of 6.8% of the National Health Interview Survey participants lived in food-insecure households, and 18.9% tested positive for COVID-19 infection. Young (aged 18-34 years) or middle (aged 35-64 years) age, female sex, minor race/ethnicity (Hispanic/non-Hispanic Black/non-Hispanic Asian/others), education level less than high school, unmarried status, unemployment, poverty (below the federal poverty level), having no health insurance, a larger number of adults and children in the household, poorer self-reported health status, and the presence of chronic conditions were significantly associated with food insecurity (AOR ranged from 1.20 to 3.15, all p<0.0001). Food insecurity was independently associated with positive COVID-19 infection (AOR=1.25, 95% CI=1.11, 1.40), controlling for sociodemographic and health-related factors. The greatest magnitude of the association was observed for the non-Hispanic Black participants (AOR=1.47, 95% CI=1.15, 1.88), female participants (AOR=1.44, 95% CI=1.20, 1.71), and those below the federal poverty level (AOR=1.39, 95% CI=1.12, 1.73) across all the subgroups.

Conclusions

Food insecurity disproportionately affected vulnerable subgroups such as young adults, female individuals, minority race/ethnicity groups, and those with lower socioeconomic status, and was associated with positive COVID-19 infection. Policies addressing food insecurity may help to reduce the likelihood of COVID-19 infection, especially for those vulnerable subgroups.

Pandemic distress associated with segregation and social stressors

Background

Racial/ethnic minorities are disproportionately impacted by the COVID-19 pandemic, as they are more likely to experience structural and interpersonal racial discrimination, and thus social marginalization. Based on this, we tested for associations between pandemic distress outcomes and four exposures: racial segregation, coronavirus-related racial bias, social status, and social support.

Methods

Data were collected as part of a larger longitudinal national study on mental health during the pandemic (n = 1,309). We tested if county-level segregation and individual-level social status, social support, and coronavirus racial bias were associated with pandemic distress using cumulative ordinal regression models, both unadjusted and adjusted for covariates (gender, age, education, and income).

Results

Both the segregation index (PR = 1.19; 95% CI 1.03, 1.36) and the coronavirus racial bias scale (PR = 1.17; 95% CI 1.06, 1.29) were significantly associated with pandemic distress. Estimates were similar, after adjusting for covariates, for both segregation (aPR = 1.15; 95% CI 1.01, 1.31) and coronavirus racial bias (PR = 1.12; 95% CI 1.02, 1.24). Higher social status (aPR = 0.74; 95% CI 0.64, 0.86) and social support (aPR = 0.81; 95% CI 0.73, 0.90) were associated with lower pandemic distress after adjustment.

Conclusion

Segregation and coronavirus racial bias are relevant pandemic stressors, and thus have implications for minority health. Future research exploring potential mechanisms of this relationship, including specific forms of racial discrimination related to pandemic distress and implications for social justice efforts, are recommended.