Structural Inequality and COVID-19 Mortality in Chicago: An Ecological Analysis

Community-Based Organizations Leading Research Efforts: Preliminary Findings from the Chicagoland CEAL Program's COVID-19 Vaccine Uptake and Intention Survey

BACKGROUND

To foster community engaged research in the communities most impacted by COVID-19, the National Institutes of Health (NIH) formed 21 teams of Community Engagement Alliance Against COVID-19 Disparities (CEAL). The national CEAL initiative developed a Common Survey to investigate attitudes and behaviors to the COVID-19 vaccine and clinical trials. This article describes survey implementation at the Chicagoland CEAL Program (CCP).

METHODS

This community-based participatory research project was the result of a strong collaboration between academic institutions, and a community-based non-profit health equity-focused partner organization. The survey implementation was developed and refined with strong input from CHWs, participants, and staff in the partner organizations and institutions. Survey data were collected with Qualtrics, a web-based survey tool.

RESULTS

Survey implementation resulted in data collection for 852 participants during the period 12/18/2021-02/18/2023. Excluding participants on the basis of missing data resulted in a sample of 690, 601 of which (87.10%) indicated that they had received at least one dose or intended to get vaccinated. Overall, 54 (7.83%) respondents reported that they had not received the vaccine and were not planning to.

CONCLUSION

Hard to reach populations present two unique challenges in emerging infectious disease events. Reaching populations vulnerable to poor outcomes with vaccines was essential to addressing the COVID-19 pandemic. Additionally, learning about barriers and hesitancy toward vaccine uptake is difficult in these communities. CCP's partnership of five academic institutions, a community research center, and a community-based non-profit health equity-focused organization shows what is possible when traditional models of research and inquiry are reconsidered for community-based participatory research. Results shown here are drawn from a collaboratively designed and implemented survey, collected in person, with over 90% completion.

Spatial and spatio-temporal statistical implications for measuring structural racism: A review of three widely used residential segregation measures

Social determinants of health are the conditions in the environments where people are born, live, learn, work, play, worship, and age that affect a wide range of health, functioning and quality of life outcomes and risks - these social determinants of health often aid in explaining the racial and ethnic health inequities present in the United States (US). The root cause of these social determinants of health has been tied to structural racism, and residential segregation is one such domain of structural racism that allows for the operationalization of the geography of structural racism. This review focuses on three residential segregation measures that are often utilized to capture segregation as a function of race/ethnicity, income, and simultaneously race/ethnicity and income. Empirical findings related to the spatial and spatio-temporal heterogeneity of these residential segregation measures are presented. We also discuss some of the implications of utilizing these three residential segregation measures.

Association of race/ethnicity and severe housing problems with COVID-19 deaths in the United States: Analysis of the first three waves

The objective of this study is to assess the associations of race/ethnicity and severe housing problems with COVID-19 death rates in the US throughout the first three waves of the COVID-19 pandemic in the US. We conducted a cross-sectional study using a negative binomial regression model to estimate factors associated with COVID-19 deaths in 3063 US counties between March 2020 and July 2021 by wave and pooled across all three waves. In Wave 1, counties with larger percentages of Black, Hispanic, American Indian and Alaska Native (AIAN), and Asian American and Pacific Islander (AAPI) residents experienced a greater risk of deaths per 100,000 residents of +22.82 (95% CI 15.09, 30.56), +7.50 (95% CI 1.74, 13.26), +13.52 (95% CI 8.07, 18.98), and +5.02 (95% CI 0.92, 9.12), respectively, relative to counties with larger White populations. By Wave 3, however, the mortality gap declined considerably in counties with large Black, AIAN and AAPI populations: +10.38 (95% CI 4.44, 16.32), +7.14 (95% CI 1.14, 13.15), and +3.72 (95% CI 0.81, 6.63), respectively. In contrast, the gap increased for counties with a large Hispanic population: +13 (95% CI 8.81, 17.20). Housing problems were an important predictor of COVID-19 deaths. However, while housing problems were associated with increased COVID-19 mortality in Wave 1, by Wave 3, they contributed to magnified mortality in counties with large racial/ethnic minority groups. Our study revealed that focusing on a wave-by-wave analysis is critical to better understand how the associations of race/ethnicity and housing conditions with deaths evolved throughout the first three COVID-19 waves in the US. COVID-19 mortality initially took hold in areas characterized by large racial/ethnic minority populations and poor housing conditions. Over time, as the virus spread to predominantly White counties, these disparities decreased substantially but remained sizable.

COVID-Related Stressors and Psychological Distress Among Chicago Residents: the Moderating Role of Race

BACKGROUND

Racial and ethnic minorities have been disproportionately affected by the COVID-19 pandemic and have experienced greater financial loss, housing instability, and food insecurity due to COVID-related restrictions. As a result, Black and Hispanic communities may be at greater risk of experiencing psychological distress (PD).

METHODS

Using data collected between October 2020 and January 2021from 906 Black (39%), White (50%), and Hispanic (11%) adults, we assessed racial/ethnic differences in the effect of three COVID-related stressors-employment stress, housing instability, and food insecurity-on PD using ordinary least square regression.

RESULTS

Black adults reported lower PD levels compared to White adults (β =  - 0.23, P < 0.001), but Hispanic adults did not differ significantly from White adults. COVID-related housing instability (β = 0.46, P < 0.001), food insecurity (β = 0.27, P < 0.001), and employment stress (β = 0.29, P < 0.001) were associated with higher PD. Employment stress was the only stressor to differentially affect PD by race/ethnicity. Among those that reported employment stress, Black adults had lower levels of distress compared to Whites (β =  - 0.54, P < 0.001) and Hispanics (β =  - 0.04, P = 0.85).

CONCLUSION

Despite relatively high exposure to COVID-related stressors, Black respondents had lower levels of PD compared to Whites and Hispanics which may reflect differences in race-specific coping mechanisms. Future research is needed to elucidate the nuances of these relationships and identify policies and interventions that prevent and minimize the impact of employment, food, and housing-related stressors and support coping mechanisms that promote mental health among minority populations, such as policies that support easier access to mental health and financial and housing assistance.

Study protocol for a longitudinal observational study of disparities in sleep and cognition in older adults: the DISCO study

INTRODUCTION

Cognitive dysfunction, a leading cause of mortality and morbidity in the USA and globally, has been shown to disproportionately affect the socioeconomically disadvantaged and those who identify as black or Hispanic/Latinx. Poor sleep is strongly associated with the development of vascular and metabolic diseases, which correlate with cognitive dysfunction. Therefore, sleep may contribute to observed disparities in cognitive disorders. The Epidemiologic Study of Disparities in Sleep and Cognition in Older Adults (DISCO) is a longitudinal, observational cohort study that focuses on gathering data to better understand racial/ethnic sleep disparities and illuminate the relationship among sleep, race and ethnicity and changes in cognitive function. This investigation may help inform targeted interventions to minimise disparities in cognitive health among ageing adults.

METHODS AND ANALYSIS

The DISCO study will examine up to 495 individuals aged 55 and older at two time points over 24 months. An equal number of black, white and Hispanic/Latinx individuals will be recruited using methods aimed for adults traditionally under-represented in research. Study procedures at each time point will include cognitive tests, gait speed measurement, wrist actigraphy, a type 2 home polysomnography and a clinical examination. Participants will also complete self-identified assessments and questionnaires on cognitive ability, sleep, medication use, quality of life, sociodemographic characteristics, diet, substance use, and psychological and social health.

ETHICS AND DISSEMINATION

This study was approved by the Northwestern University Feinberg School of Medicine Institutional Review Board. Deidentified datasets will be shared via the BioLINCC repository following the completion of the project. Biospecimen samples from the study that are not being analysed can be made available to qualified investigators on review and approval by study investigators. Requests that do not lead to participant burden or that conflict with the primary aims of the study will be reviewed by the study investigators.