Financial hardship, sleep disturbances, and their relationship among men and women in the United States during the COVID-19 pandemic.

OBJECTIVE: In the United States (US), the health and financial consequences of COVID-19 have disproportionately impacted women and minoritized racial-ethnic groups. Yet, few US studies have investigated financial hardship during the COVID-19 pandemic and sleep health disparities. Our objective was to investigate associations between financial hardship and sleep disturbances during the COVID-19 pandemic by gender and race and ethnicity in the United States. METHODS: We used the nationally representative COVID-19's Unequal Racial Burden cross-sectional survey data collected among 5339 men and women from 12/2020 to 2/2021. Participants reported financial hardship (eg, debt, employment/work loss) since the pandemic began and completed the Patient-Reported Outcomes Management Information System Short Form 4a for sleep disturbances. Prevalence ratios (PRs) and 95% confidence intervals were estimated using adjusted, weighted Poisson regression with robust variance. RESULTS: Most (71%) participants reported financial hardship. Prevalence of moderate to severe sleep disturbances was 20% overall, higher among women (23%), and highest among American Indian/Alaska Native (29%) and multiracial adults (28%). Associations between financial hardship and moderate to severe sleep disturbances (PR = 1.52 [95% confidence interval: 1.18, 1.94]) did not differ by gender but varied by race and ethnicity: associations were strongest among Black/African American (PR = 3.52 [1.99,6.23]) adults. CONCLUSIONS: Both financial hardship and sleep disturbances were prevalent, and their relationships were strongest among certain minoritized racial-ethnic groups, particularly Black/African American adults. Interventions that alleviate financial insecurity may reduce sleep health disparities.

Economic and Psychosocial Impact of COVID-19 in the Hispanic Community Health Study/Study of Latinos.

Objectives: To examine the prevalence and correlates of economic hardship and psychosocial distress experienced during the initial phase of the coronavirus disease 2019 (COVID-19) pandemic in a large cohort of Hispanic/Latino adults. Methods: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL), an ongoing multicenter study of Hispanic/Latino adults, collected information about COVID-19 illness and psychosocial and economic distress that occurred during the pandemic (N=11,283). We estimated the prevalence of these experiences during the initial phase of the pandemic (May 2020 to May 2021) and examined the prepandemic factors associated with pandemic-related economic hardship and emotional distress using multivariable log linear models with binomial distributions to estimate prevalence ratios. Results: Almost half of the households reported job losses and a third reported economic hardship during the first year of the pandemic. Pandemic-related household job losses and economic hardship were more pronounced among noncitizens who are likely to be undocumented. Pandemic-related economic hardship and psychosocial distress varied by age group and sex. Contrary to the economic hardship findings, noncitizens were less likely to report pandemic-related psychosocial distress. Prepandemic social resources were inversely related to psychosocial distress. Conclusions: The study findings underscore the economic vulnerability that the pandemic has brought to ethnic minoritized and immigrant populations in the United States, in particular noncitizens. The study also highlights the need to incorporate documentation status as a social determinant of health. Characterizing the initial economic and mental health impact of the pandemic is important for understanding the pandemic consequences on future health. Clinical Trial Registration Number: NCT02060344.

Adding a One Health approach to a research framework for minority health and health disparities.

The National Institute on Minority Health and Health Disparities (NIMHD) has developed a framework to guide and orient research into health disparities and minority health. The framework depicts different domains of influence (such as biological and behavioral) and different levels of influence (such as individual and interpersonal). Here, influenced by the "One Health" approach, we propose adding two new levels of influence - interspecies and planetary - to this framework to reflect the interconnected nature of human, animal, and environmental health. Extending the framework in this way will help researchers to create new avenues of inquiry and encourage multidisciplinary collaborations. We then use the One Health approach to discuss how the COVID-19 pandemic has exacerbated health disparities, and show how the expanded framework can be applied to research into health disparities related to antimicrobial resistance and obesity.

COVID-19 Health Disparities and Adverse Social Determinants of Health.

Racial and ethnic disparities in healthcare and health outcomes are longstanding. The real-time emergence of COVID-19 disparities has heightened the public and scientific discourse about structural inequities contributing to the greater risk of morbidity and mortality among racial and ethnic minority populations and other underserved groups. A key aspect of assuring health equity is addressing social determinants that lead to adverse health outcomes among minoritized groups. This article presents an exploratory social determinants of health (SDOH) conceptual framework for understanding racial and ethnic COVID-19 disparities, including factors related to health and healthcare, socioeconomics, and environmental determinants. The model also illustrates the backdrop of structural racism and discrimination, which directly affect health and COVID-19 exposure risk, and thus transmission, infection, and death. We also describe a special SDOH collection in the PhenX Toolkit (consensus measures for Phenotypes and eXposures), which includes established measures to promote standardization of assessment and the use of common data elements in research contexts. The use of common constructs, measures, and data elements are important for data integration, understanding the causes of health disparities, and evaluating interventions to reduce them. Substandard SDOH are among the primary drivers of health disparities-and scientific approaches to address these key concerns require identification and leveled alignment with the root causes. The overarching goal of this discussion is to broaden the consideration of mechanisms by which populations with health disparities face additional SARS-CoV-2 exposure risks, and to encourage research to develop interventions to reduce SDOH-associated disparities in COVID-19 and other conditions and behaviors.

Racial/ethnic disparities in intent to obtain a COVID-19 vaccine: A nationally representative United States survey.

Black, Latino, Pacific Islander, and American Indian/Alaska Native adults are more likely than White adults to experience SARS-CoV-2-related infections, hospitalizations, and mortality. We assessed intent to be vaccinated and concerns among 7 U.S. racial/ethnic groups (1,000 Black/African American, 500 American Indian/Alaska Native, 1,000 Asian, 1,000 Latino (500 English- and 500 Spanish-speaking), 500 Pacific Islander, 500 multiracial, and 1,000 White adults) in a cross-sectional online survey conducted December 2020-February 2021, weighted to be nationally representative within groups. Intent to be vaccinated was ascertained with: "If a COVID-19 vaccine becomes available, how likely are you to get vaccinated?" (not at all/slightly/moderately/very/extremely likely). Respondents identified which concerns would keep them from being vaccinated: cost, not knowing where, safety, effectiveness, side-effects, and other. Multinomial logistic regression models assessed associations of race/ethnicity with odds of being extremely/very/moderately, slightly likely to be vaccinated (ref = not at all), controlling for demographics and health. Overall, 30% were extremely likely, 22% not at all likely, and 48% unsure. Compared to White respondents, American Indian/Alaska Native (Adjusted Odds Ratio (AOR) = 0.66, 95% CI, 0.47-0.92) and Black/African American (AOR = 0.54, 95% CI, 0.41-0.72) respondents were less likely, and Asian (AOR = 2.21, 95% CI, 1.61-3.02) and Spanish-speaking Latino respondents (AOR = 3.74, 95% CI, 2.51-5.55) were more likely to report being extremely likely to be vaccinated. Side-effects (52%) and safety (45%) were overriding concerns. Intent and vaccination rates are changing rapidly; these results constitute a comprehensive baseline for ongoing vaccination efforts among U.S. racial and ethnic groups.

Racial and Ethnic Disparities in Excess Deaths During the COVID-19 Pandemic, March to December 2020.

BACKGROUND: Although racial/ethnic disparities in U.S. COVID-19 death rates are striking, focusing on COVID-19 deaths alone may underestimate the true effect of the pandemic on disparities. Excess death estimates capture deaths both directly and indirectly caused by COVID-19. OBJECTIVE: To estimate U.S. excess deaths by racial/ethnic group. DESIGN: Surveillance study. SETTING: United States. PARTICIPANTS: All decedents. MEASUREMENTS: Excess deaths and excess deaths per 100 000 persons from March to December 2020 were estimated by race/ethnicity, sex, age group, and cause of death, using provisional death certificate data from the Centers for Disease Control and Prevention (CDC) and U.S. Census Bureau population estimates. RESULTS: An estimated 2.88 million deaths occurred between March and December 2020. Compared with the number of expected deaths based on 2019 data, 477 200 excess deaths occurred during this period, with 74% attributed to COVID-19. Age-standardized excess deaths per 100 000 persons among Black, American Indian/Alaska Native (AI/AN), and Latino males and females were more than double those in White and Asian males and females. Non-COVID-19 excess deaths also disproportionately affected Black, AI/AN, and Latino persons. Compared with White males and females, non-COVID-19 excess deaths per 100 000 persons were 2 to 4 times higher in Black, AI/AN, and Latino males and females, including deaths due to diabetes, heart disease, cerebrovascular disease, and Alzheimer disease. Excess deaths in 2020 resulted in substantial widening of racial/ethnic disparities in all-cause mortality from 2019 to 2020. LIMITATIONS: Completeness and availability of provisional CDC data; no estimates of precision around results. CONCLUSION: There were profound racial/ethnic disparities in excess deaths in the United States in 2020 during the COVID-19 pandemic, resulting in rapid increases in racial/ethnic disparities in all-cause mortality between 2019 and 2020. PRIMARY FUNDING SOURCE: National Institutes of Health Intramural Research Program.

No Populations Left Behind: Vaccine Hesitancy and Equitable Diffusion of Effective COVID-19 Vaccines.

Racial/ethnic minority communities are experiencing an undue burden from coronavirus disease 2019 (COVID-19), and the availability of Food and Drug Administration (FDA) authorized vaccines is critical for improving population health. National surveys assessing vaccination willingness and reports of vaccination administration by race/ethnicity indicate at least two areas that warrant attention: elevated vaccine hesitancy among African American and Latino adults, and the need to ensure equitable access to vaccination. COVID-19 vaccine hesitancy is not uniform within racial/ethnic minority populations; yet, given the disproportionate impact, understandable distrust, and widespread misinformation, there is an imperative to overcome challenges associated with vaccination willingness and uptake, as well as implementation and access. This Perspective discusses the complexity of drivers for each of these areas, which include individual, community, and structural factors. It also highlights two initiatives at the National Institutes of Health. One is focused on addressing misinformation and distrust through academic-community partnerships, and the other on community-engaged behavioral interventions to address the population-specific reasons for COVID-19 vaccine hesitancy, support informed decision-making, and promote equitable access among populations with health disparities. For the foreseeable future, proactive and persistent efforts around COVID-19 mitigation strategies, including vaccination, will remain of paramount importance for health equity.