The Structural and Social Determinants of the Racial/Ethnic Disparities in the U.S. COVID-19 Pandemic. What's Our Role?
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ABSTRACT:
SUBMITTER: Thakur N
PROVIDER: S-EPMC7528789 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
Publications
The Structural and Social Determinants of the Racial/Ethnic Disparities in the U.S. COVID-19 Pandemic. What's Our Role?
Thakur Neeta N Lovinsky-Desir Stephanie S Bime Christian C Wisnivesky Juan P JP Celedón Juan C JC
American journal of respiratory and critical care medicine 20201001 7
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Project description:Racial/ethnic minorities have experienced higher COVID-19 infection rates than whites, but it is unclear how individual-level housing, occupational, behavioral, and socioeconomic conditions contribute to these disparities in a nationally representative sample. In this study, we assess the extent to which social determinants of health contribute to racial/ethnic differences in COVID-19 infection. Data are from the Understanding America Study's Understanding Coronavirus in America survey (UAS COVID-19 waves 7-29). UAS COVID-19 is one of the only nationally representative longitudinal data sources that collects information on household, work, and social behavioral context during the pandemic. We analyze onset of COVID-19 cases, defined as a positive test or a diagnosis of COVID-19 from a healthcare provider since the previous survey wave, over a year of follow-up (June 2020-July 2021). We consider educational attainment, economic resources, work arrangements, household size, and social distancing as key social factors that may be structured by racism. Cox hazard models indicate that Hispanic people have 48% higher risk of experiencing a COVID-19 infection than whites after adjustment for age, sex, local infection rate, and comorbidities, but we do not observe a higher risk of COVID-19 among Black respondents. Controlling for engagement in any large or small social gathering increases the hazard ratio for Hispanics by 9%, suggesting that had Hispanics had the same social engagement patterns as whites, they may have had even higher risk of COVID-19. Other social determinants-lower educational attainment, working away from home, and number of coresidents-all independently predict higher risk of COVID-19, but do not explain why Hispanic Americans have higher COVID-19 infection risk than whites.
| S-EPMC9162789 | biostudies-literature
Project description:Adult and childhood obesity and related adverse outcomes are most common among racial/ethnic minorities and socio-economically disadvantaged populations in the United States . Research approaches to obesity developed in mainstream populations and deploying new information technologies may exacerbate existing disparities in obesity. Current obesity management and prevention research priorities will not maximally impact this critical problem unless investigators explicitly focus on discovering innovative strategies for preventing and managing obesity in the disadvantaged populations that are most affected. On the basis of our research experience, four key research approaches are needed: (1) elucidating the underlying social forces that lead to disparities; (2) directly involving community members in the development of research questions and research methods; (3) developing flexible strategies that allow tailoring to multiple disadvantaged populations; and (4) building culturally and socio-economically tailored strategies specifically for populations most affected by obesity. Our experience with a community-based longitudinal cohort study and two health center-based clinical trials illustrate these principles as a contrast to traditional research priorities that can inadvertently worsen existing social inequities. If obesity research does not directly address healthcare and health-outcome disparities, it will contribute to their perpetuation.
| S-EPMC3647479 | biostudies-other
Project description:BackgroundHigher mortality experienced by socially disadvantaged groups and/or racial/ethnic minorities is hypothesized to be, at least in part, due to an acceleration of the aging process. Using a new epigenetic aging measure, Levine DNAmAge, this study aimed to investigate whether epigenetic aging accounts for mortality disparities by race/ethnicity and education in a sample of U.S. postmenopausal women.Methods1834 participants from an ancillary study (BA23) in the Women's Health Initiative, a national study that recruited postmenopausal women (50-79 years) were included. Over the 22 years of follow-up, 551 women died, and 31,946 person-years were observed. Levine DNAmAge (unit in years) was calculated based on an equation that we previously developed in an independent sample, which incorporates methylation levels at 513 CpG sites.ResultsAs previously reported, non-Hispanic blacks and Hispanics were epigenetically older than non-Hispanic whites of the same chronological age. Similarly, those with less education had older epigenetic ages than expected in the full sample, as well as among non-Hispanic whites and Hispanics, but not among non-Hispanic blacks. Non-Hispanic blacks and those with low education exhibited the greatest risk of mortality. However, this association was partially attenuated when accounting for differences in DNAmAge. Furthermore, formal mediation analysis suggested that DNAmAge partially mediated the mortality increase among non-Hispanic blacks, compared to non-Hispanic whites (proportion mediated, 15.8%, P = 0.002), as well as the mortality increase for those with less than high school education, compared to college educated (proportion mediated, 11.6%, P < 2E-16).ConclusionsAmong a group of postmenopausal women, non-Hispanic blacks and those with less education exhibit higher epigenetic aging, which partially accounts for their shorter life expectancies.
| S-EPMC6555423 | biostudies-literature
Project description:ObjectiveTo examine racial/ethnic disparities in medical and oral health status, access to care, and use of services in U.S. adolescents.Data sourceSecondary data analysis of the 2003 National Survey of Children's Health. The survey focus was children 0-17 years old.Study designBivariate and multivariable analyses were conducted for white, African American, Latino, Asian/Pacific Islander, American Indian/Alaskan Native, and multiracial adolescents 10-17 years old (n = 48,742) to identify disparities in 40 measures of health and health care.Principal findingsCertain disparities were especially marked for specific racial/ethnic groups and multiracial youth. These disparities included suboptimal health status and lack of a personal doctor or nurse for Latinos; suboptimal oral health and not receiving all needed medications in the past year for African Americans; no physician visit or mental health care in the past year for Asian/Pacific Islanders; overweight/obesity, uninsurance, problems getting specialty care, and no routine preventive visit in the past year for American Indian/Alaska Natives; and not receiving all needed dental care in multiracial youth.ConclusionsU.S. adolescents experience many racial/ethnic disparities in health and health care. These findings indicate a need for ongoing identification and monitoring of and interventions for disparities for all five major racial/ethnic groups and multiracial adolescents.
| S-EPMC3513617 | biostudies-literature
Project description:ObjectiveTo study the magnitude and direction of city-level racial and ethnic differences in poverty and education to characterise health equity and social determinants of health in California cities.DesignWe used data from the American Community Survey, United States Census Bureau, 2006-2010, and calculated differences in the prevalence of poverty and low educational attainment in adults by race/ethnicity and by census tracts within California cities. For race/ethnicity comparisons, when the referent group (p2) to calculate the difference (p1-p2) was the non-Hispanic White population (considered a historically advantaged group), a positive difference was considered a health inequity. Differences with a non-White reference group were considered health disparities.SettingCities of the State of California, USA.ResultsWithin-city differences in the prevalence of poverty and low educational attainment disfavoured Black and Latinos compared with Whites in over 78% of the cities. Compared with Whites, the median within-city poverty difference was 7.0% for Latinos and 6.2% for Blacks. For education, median within-city difference was 26.6% for Latinos compared with Whites. In a small, but not negligible proportion of cities, historically disadvantaged race/ethnicity groups had better social determinants of health outcomes than Whites. The median difference between the highest and lowest census tracts within cities was 14.3% for poverty and 15.7% for low educational attainment. Overall city poverty rate was weakly, but positively correlated with within-city racial/ethnic differences.ConclusionsDisparities and inequities are widespread in California. Local health departments can use these findings to partner with cities in their jurisdiction and design strategies to reduce racial, ethnic and geographic differences in economic and educational outcomes. These analytic methods could be used in an ongoing surveillance system to monitor these determinants of health.
| S-EPMC5730014 | biostudies-literature
Project description:ObjectiveTo examine the role of patient, hospital, and community characteristics on racial and ethnic disparities in in-hospital postsurgical complications.Data sourcesHealthcare Cost and Utilization Project, 2011 State Inpatient Databases; American Hospital Association Annual Survey of Hospitals; Area Health Resources Files; Centers for Medicare & Medicaid Services Hospital Compare database.MethodsNonlinear hierarchical modeling was conducted to examine the odds of patients experiencing any in-hospital postsurgical complication, as defined by Agency for Healthcare Research and Quality Patient Safety Indicators.Principal findingsA total of 5,474,067 inpatient surgical discharges were assessed using multivariable logistic regression. Clinical risk, payer coverage, and community-level characteristics (especially income) completely attenuated the effect of race on the odds of postsurgical complications. Patients without private insurance were 30 to 50 percent more likely to have a complication; patients from low-income communities were nearly 12 percent more likely to experience a complication. Private, not-for-profit hospitals in small metropolitan or micropolitan areas and higher nurse-to-patient ratios led to fewer postsurgical complications.ConclusionsRace does not appear to be an important determinant of in-hospital postsurgical complications, but insurance and community characteristics have an effect. A population-based approach that includes improving the socioeconomic context may help reduce disparities in these outcomes.
| S-EPMC5264108 | biostudies-literature
Project description:Adolescent development and wellbeing now involve how the use of social technologies (e.g., social media and other online spaces) impact daily life. Especially during crises such as COVID-19 and persistent injustices, adolescents rely on online spaces for social connectedness and informational knowledge. Psychosocial impacts, both positive and negative, have been found among racial-ethnic minority adolescents. However, the role of racial-ethnic identity on social media use and wellbeing has been understudied. The current study addresses differential associations on social media experiences and mental health (i.e., depressive, online anxiety symptoms) among a diverse group of adolescents (n = 668; ages 10-17; 45.7% non-White). Furthermore, the roles of self-identified racial-ethnic groups, identity importance, exposure to hate messaging, and gender are investigated. Our study found significant moderating effects of racial-ethnic importance, gender, and online hate messaging. Additionally, the moderating role of race-ethnicity reveals a stronger association between greater social media frequency and heightened depressive symptoms among Asian adolescents. Black adolescents showed a significant association between greater social media frequency and decreased online social anxiety. Significant effects of online hate messaging exposure also reveal associations between online behaviors and depression and online social anxiety across adolescents. As social media adoption coincides with identity exploration, this study highlights how racial-ethnic identity and its formation in the digital age is important to understand its association with online interactions that may help or hinder adolescent wellbeing. Future work should continue examining trajectories of identity formation in relation to social media content and differential mental health impacts.
| S-EPMC10805409 | biostudies-literature
Project description:ObjectiveTo examine mediation and moderation of racial/ethnic all-cause mortality disparities among Veteran Health Administration (VHA)-users by neighborhood deprivation and residential segregation.Data sourcesElectronic medical records for 10/2008-9/2009 VHA-users linked to National Death Index, 2000 Area Deprivation Index, and 2006-2009 US Census.Study designRacial/ethnic groups included American Indian/Alaskan Native (AI/AN), Asian, non-Hispanic black, Hispanic, Native Hawaiian/Other Pacific Islander, and non-Hispanic white (reference). We measured neighborhood deprivation by Area Deprivation Index, calculated segregation for non-Hispanic black, Hispanic, and AI/AN using the Isolation Index, evaluated mediation using inverse odds-weighted Cox regression models and moderation using Cox regression models testing for neighborhood*race/ethnicity interactions.Principal findingsMortality disparities existed for AI/ANs (HR = 1.07, 95%CI:1.01-1.10) but no other groups after covariate adjustment. Neighborhood deprivation and Hispanic segregation neither mediated nor moderated AI/AN disparities. Non-Hispanic black segregation both mediated and moderated AI/AN disparities. The AI/AN vs. non-Hispanic white disparity was attenuated for AI/ANs living in neighborhoods with greater non-Hispanic black segregation (P = .047). Black segregation's mediating effect was limited to VHA-users living in counties with low black segregation. AI/AN segregation also mediated AI/AN mortality disparities in counties that included or were near AI/AN reservations.ConclusionsNeighborhood characteristics, particularly black and AI/AN residential segregation, may contribute to AI/AN mortality disparities among VHA-users, particularly in communities that were rural, had greater black segregation, or were located on or near AI/AN reservations. This suggests the importance of neighborhood social determinants of health on racial/ethnic mortality disparities. Living near reservations may allow AI/AN VHA-users to maintain cultural and tribal ties, while also providing them with access to economic and other resources. Future research should explore the experiences of AI/ANs living in black communities and underlying mechanisms to identify targets for intervention.
| S-EPMC7518818 | biostudies-literature
Project description:Background/objectivesTo determine racial/ethnic disparities in weekly counts of new COVID-19 cases and deaths among nursing home residents or staff.DesignCross-sectional analysis of national nursing home COVID-19 reports linked to other data. Multivariable two-part models modeled disparities in count of cases or deaths, and logistic regressions modeled disparities in self-reported shortages in staff and personal protective equipment (PPE), across nursing home groups with varying proportions of racial/ethnic minority residents, defined as low-, medium-, medium-high-, and high-proportion groups.SettingA total of 12,576 nursing homes nationally.ParticipantsNone.InterventionNone.MeasurementsNumbers of incident COVID-19 confirmed cases among residents and staff, and incident COVID-19 related deaths among residents (primary outcomes); and nursing home reported shortages in staff and PPE (secondary outcomes). All outcomes were reported for the week of May 25, 2020.ResultsThe number of weekly new COVID-19 confirmed cases among residents ranged from an average of 0.4 cases per facility (standard deviation (SD) = 2.5) for the low-proportion group (93.0% had zero new cases) to 1.5 cases per facility (SD = 6.3) for the high-proportion group (78.9% had zero new cases). Multivariable regression estimated that compared with the low-proportion group, the likelihood of having at least one new resident case was 76% higher (odds ratio = 1.76; 95% confidence interval = 1.38-2.25; P = .000) for the high-proportion group. Similar across-facility disparities were found for the weekly count of new COVID-19 deaths among residents (ranging from 0.1 deaths per facility (SD = 1.1) for the low-proportion group to 0.4 deaths (SD = 2.0) for the high-proportion group) and in the weekly count of new COVID-19 confirmed cases among staff (ranging from 0.3 cases (SD = 1.4] to 1.3 cases (SD = 4.4) per facility). No substantial disparities in self-reported shortages of staff or PPE were found.ConclusionNursing homes caring for disproportionately more racial/ethnic minority residents reported more weekly new COVID-19 confirmed cases and/or deaths. Immediate actions are needed to address these system-level disparities.
| S-EPMC7537079 | biostudies-literature
Project description:Background: Nearly half of U.S. women experienced new or worsening health-related socioeconomic risks (HRSRs) (food, housing, utilities and transportation difficulties, and interpersonal violence) early in the COVID-19 pandemic. We sought to examine racial/ethnic disparities in pandemic-related changes in HRSRs among women. Materials and Methods: We conducted a cross-sectional survey (04/2020) of 3200 women. Pre- and early pandemic HRSRs were described by race/ethnicity. Weighted, multivariable logistic regression models generated odds of incident and worsening HRSRs by race/ethnicity. Results: The majority of Black, East or Southeast (E/SE) Asian, and Hispanic women reported ≥1 prepandemic HRSR (51%-56% vs. 38% of White women, p < 0.001). By April 2020, 68% of Black, E/SE Asian, and Hispanic women and 55% of White women had ≥1 HRSR (p < 0.001). For most HRSRs, the odds of an incident or worsening condition were similar across racial/ethnic groups, except Black, E/SE Asian and Hispanic women had 2-3.6 times the odds of incident transportation difficulties compared with White women. E/SE Asian women also had higher odds of worsening transportation difficulties compared with White women (adjusted odds ratios = 2.5, 95% confidence interval 1.1-5.6). In the early pandemic, 1/19 Hispanic, 1/28 E/SE Asian, 1/36 Black and 1/100 White women had all 5 HRSRs (extreme health-related socioeconomic vulnerability). Conclusions: Prepandemic racial/ethnic disparities in HRSRs persisted and prevalence rates increased for all groups early in the pandemic. Disparities in transportation difficulties widened. White women were much less likely than others to experience extreme health-related socioeconomic vulnerability. An equitable COVID-19 response requires attention to persistent and widening racial/ethnic disparities in HRSRs among women.
| S-EPMC8590141 | biostudies-literature