RESUMO
OBJECTIVE: Understanding the relationship between social factors and persistent COVID-19 health outcomes, such as onset of a disability after a SARS-CoV-2 (the virus that causes COVID-19) infection, is an increasingly important public health issue. The purpose of this paper is to examine associations between social vulnerability and new onset of a mobility disability post-COVID-19 diagnosis. METHODS: We used data from the Michigan COVID-19 Recovery Surveillance Study, a population-based probability survey of adults with PCR-confirmed SARS-CoV-2 infection in Michigan between January 2020-May 2022 (n = 4295). We used the Minority Health Social Vulnerability Index (MHSVI), with high county-level social vulnerability defined at or above the 75th percentile. Mobility disability was defined as new difficulty walking or climbing stairs. We regressed mobility disability on the overall MHSVI, as well as sub-themes of the index (socioeconomic status, household composition/disability, minority and language, housing type, healthcare access, and medical vulnerability), using multivariable logistic regression, adjusting for age, race, sex, education, employment, and income. RESULTS: Living in a county with high (vs. low) social vulnerability was associated with 1.38 times higher odds (95% confidence interval [CI]:1.18-1.61) of reporting a new mobility disability after a COVID-19 diagnosis after adjustment. Similar results were observed for the socioeconomic status and household composition/disability sub-themes. In contrast, residents of highly racially diverse counties had lower odds (odds ratio 0.74, 95% CI: 0.61, 0.89) of reporting a new mobility disability compared to low diversity counties. CONCLUSIONS: Mitigating the effects of social vulnerabilities requires additional resources and attention to support affected individuals.
Assuntos
COVID-19 , SARS-CoV-2 , Adulto , Humanos , COVID-19/diagnóstico , Vulnerabilidade Social , Teste para COVID-19 , Michigan/epidemiologiaRESUMO
BACKGROUND: Existing studies have elucidated racial and ethnic disparities in COVID-19 hospitalizations, but few have examined disparities at the intersection of race and ethnicity and income. METHODS: We used a population-based probability survey of non-institutionalized adults in Michigan with a polymerase chain reaction-positive SARS-CoV-2 test before November 16, 2020. We categorized respondents by race and ethnicity and annual household income: low-income (< $50,000) Non-Hispanic (NH) Black, high-income (≥ $50,000) NH Black, low-income Hispanic, high-income Hispanic, low-income NH White, and high-income NH White. We used modified Poisson regression models, adjusting for sex, age group, survey mode, and sample wave, to estimate COVID-19 hospitalization prevalence ratios by race and ethnicity and income. RESULTS: Over half of the analytic sample (n = 1593) was female (54.9%) and age 45 or older (52.5%), with 14.5% hospitalized for COVID-19. Hospitalization was most prevalent among low-income (32.9%) and high-income (31.2%) Non-Hispanic (NH) Black adults, followed by low-income NH White (15.3%), low-income Hispanic (12.9%), high-income NH White (9.6%), and high-income Hispanic adults (8.8%). In adjusted models, NH Black adults, regardless of income (low-income prevalence ratio [PR]: 1.86, 95% CI: 1.36-2.54; high-income PR: 1.57, 95% CI: 1.07-2.31), and low-income NH White adults (PR: 1.52, 95% CI: 1.12-2.07), had higher prevalence of hospitalization compared to high-income NH White adults. We observed no significant difference in the prevalence of hospitalization among Hispanic adults relative to high-income NH White adults. CONCLUSIONS: We observed disparities in COVID-19 hospitalization at the intersection of race and ethnicity and income for NH Black adults and low-income NH White adults relative to high-income NH White adults, but not for Hispanic adults.