An official website of the United States government
COVID-19 variants continue to create public health danger impacting mortality and morbidity across the United States. The spillover effects of COVID-19 on the economy and social institutions pose a significant threat to broader wellbeing, including the food security of millions across the country. We aim to explore whether the context of place matters above and beyond individual and social vulnerabilities for food insecurity. To do so, we employ a multi-level framework using data from a survey of over 10,000 U.S. adults from March 2020 with American Community Survey (ACS) and John Hopkins COVID Dashboard county-level data. We find nearly two in five respondents were food insecure by March of 2020 with disparities across race, nativity, the presence of children in the home, unemployment, and age. Furthermore, we note that individuals living in more disadvantaged communities were more likely to report food insecurity above and beyond individual and social vulnerabilities. Overall, food insecurity is driven by complex, multi-level dynamics that remain a pressing public health concern for the current—but also future—public health crisis.
more »
« less
Context, Proximity, and Individual Risk for Early-Pandemic Fear of Covid-19 Infection: A Multilevel Analysis of American Adults in March 2020
Background: The current study explores how characteristics of individuals, their communities, and their relative exposure to nearby Covid-19 cases are associated with specific fears or perceived threat/risk of the virus itself during the early stages of the pandemic in March 2020. Aims: Drawing from research emphasizing the intersectional relationships between individual social vulnerabilities, community characteristics, and Covid-19 outbreak locales, we test several hypotheses predicting fear. Method: Using data from a large-scale survey of 10,368 U.S. adults from March 2020, we construct a series of hierarchical linear and logistic regression models that nest individuals within their residential counties in order to account for key socio-demographic characteristics of individuals, communities, and each respondent’s geographic proximity to Covid-19 cases. Results: Results show that individual fear and perceived risk to oneself and family is predicted by individual social vulnerabilities, the type of community in which respondents live, and the relative presence of the virus in nearby places. Conclusion: Our findings highlight the importance of understanding fear, particularly as a possible mediator for both mental and physical health outcomes. Likewise, we emphasize ongoing efforts aimed at understanding how different groups and communities respond to fear and/or concern over Covid-19 as the pandemic remains ongoing.
more »
« less
- Award ID(s):
- 2027148
- PAR ID:
- 10417738
- Date Published:
- Journal Name:
- Medical Research Archives
- Volume:
- 10
- Issue:
- 10
- ISSN:
- 2375-1916
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Clinicians, cooks, and cashiers: Examining health equity and the COVID-19 risks to essential workersnull (Ed.)In Spring/Summer 2020, most individuals living in the United States experienced several months of social distancing and stay-at-home orders because of the coronavirus (COVID-19) pandemic. Clinicians, restaurant cooks, cashiers, transit operators, and other essential workers (EWs), however, continued to work outside the home during this time in order to keep others alive and maintain a functioning society. In the United States, EWs are often low-income persons of color who are more likely to face socioeconomic vulnerabilities, systemic racism, and health inequities. To assess the various impacts of COVID-19 on EWs, an online survey was distributed to a representative sample of individuals residing in six states during May/June 2020. The sample included 990 individuals who identified as EWs and 736 nonessential workers (NWs). We assessed differences between EW and NW respondents according to three categories related to health equity and social determinants of health: (1) demographics (e.g. race/ethnicity); (2) COVID-19 exposure risk pathways (e.g. ability to social distance); and (3) COVID-19 risk perceptions (e.g. perceived risk of contracting COVID-19). EWs were more likely to be Black or Hispanic than NWs and also had lower incomes and education levels on average. Unsurprisingly, EWs were substantially more likely to report working outside the home and less likely to report social distancing and wearing masks indoors as compared to NWs. EWs also perceived a slightly greater risk of contracting COVID-19. These findings, which we discuss in the context of persistent structural inequalities, systemic racism, and health inequities within the United States, highlight ways in which COVID-19 exacerbates existing socioeconomic vulnerabilities faced by EWs.more » « less
-
Understanding population‐level variability in responses to pathogens over time is important for developing effective health‐based messages targeted at ideologically diverse populations. Research from psychological and political sciences suggests that party and elite cues shape how people respond to major threats like climate change. Research on responses to the COVID‐19 pandemic suggests similar variability across party identities; however, prior work has methodological limitations. This prospective, longitudinal study of a large probability‐based nationally representative U.S. sample assessed in March–April 2020 (N = 6,514) and then 6 months later in September–October 2020 (N = 5,661) demonstrates that COVID‐19 fear, perceived COVID‐19 death risk, and reported health‐protective behaviors became increasingly polarized over the first 6 months of the pandemic. Initial differences between Democrats and Republicans failed to converge over time and became more pronounced. Responses among Republicans were further polarized by support for former President Donald Trump: Trump Republicans initially reported weaker responses to COVID‐19 than non‐Trump Republicans, and these differences became more pronounced over time. Importantly, political identity and Trump support were not linked to perceived infection risk of a nonpoliticized pathogen, the flu. Finally, political identity and Republican Trump support prospectively predicted COVID‐19 vaccine intentions 6 months into the pandemic.more » « less
-
Background: The health belief model suggests that individuals' beliefs affect behaviors associated with health. This study examined whether Ohioans' pre-existing medical health diagnoses affected their belief about personal health risk and their compliance with social distancing during the coronavirus disease 2019 (COVID-19) pandemic. Prior research examining physical and mental diagnoses and social distancing compliance is nearly nonexistent. We examined whether physical and mental health diagnoses influenced individuals' beliefs that their health is at risk and their adherence with social distancing guidelines. Methods: The study used longitudinal cohort data from the Toledo Adolescent Relationships Study (TARS) (n = 790), which surveyed Ohioans prior to and during the COVID-19 pandemic. Dependent variables included belief that an individual's own health was at risk and social distancing compliance. Independent variables included physical and mental health diagnoses, pandemic-related factors (fear of COVID-19, political beliefs about the pandemic, friends social distance, family social distance, COVID-19 exposure), and sociodemographic variables (age, gender, race/ethnicity, educational level). Results: Individuals who had a pre-existing physical health diagnosis were more likely to believe that their personal health was at risk during the pandemic but were not more likely to comply with social distancing guidelines. In contrast, individuals who had a pre-existing mental health diagnosis were more compliant with social distancing guidelines but were not more likely to believe their personal health was at risk. Individuals who expressed greater fear of COVID-19 believed their health is more at risk than those who expressed lower levels of fear. Conclusion: Health considerations are important to account for in assessments of responses to the pandemic, beliefs about personal health risk, and social distancing behavior. Additional research is needed to understand the divergence in the findings regarding physical health, beliefs about personal health risk, and social distancing compliance. Further, research is needed to understand how mental health issues impact decision-making related to social distancing compliance.more » « less
-
null (Ed.)Objectives. To assess the impact of the COVID-19 pandemic on mental distress in US adults. Methods. Participants were 5065 adults from the Understanding America Study, a probability-based Internet panel representative of the US adult population. The main exposure was survey completion date (March 10–16, 2020). The outcome was mental distress measured via the 4-item version of the Patient Health Questionnaire. Results. Among states with 50 or more COVID-19 cases as of March 10, each additional day was significantly associated with an 11% increase in the odds of moving up a category of distress (odds ratio = 1.11; 95% confidence interval = 1.01, 1.21; P = .02). Perceptions about the likelihood of getting infected, death from the virus, and steps taken to avoid infecting others were associated with increased mental distress in the model that included all states. Individuals with higher consumption of alcohol or cannabis or with history of depressive symptoms were at significantly higher risk for mental distress. Conclusions. These data suggest that as the COVID-19 pandemic continues, mental distress may continue to increase and should be regularly monitored. Specific populations are at high risk for mental distress, particularly those with preexisting depressive symptoms.more » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.18103/mra.v10i10.3154
