Objectives: This study investigates race-ethnic differences among older non-Hispanic Black, non-Hispanic White, and Hispanic adults' financial, employment, and stress consequences of COVID-19.
Methods: We use data from the Health and Retirement Study, including the 2020 COVID-panel, to evaluate a sample of 2,929 adults using a combination of bivariate tests, OLS regression analysis, and moderation tests.
Results: Hispanic and non-Hispanic Black older adults experienced more financial hardships, higher levels of COVID-19 stress, and higher rates of job loss associated with COVID-19 relative to their Non-Hispanic White counterparts. Non-Hispanic Black and Hispanic adults reported significantly higher levels of COVID-19 resilience resources, yet, these resources were not protective of the consequences of COVID-19.
Discussion: Understanding how the experiences of managing and coping with COVID-19 stressors differ by race-ethnicity can better inform intervention design and support services.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988627 | PMC |
http://dx.doi.org/10.1177/08982643231159705 | DOI Listing |
Matern Child Health J
January 2025
College of Nursing, University of Rhode Island, 350 Eddy St, Providence, RI, 02903, USA.
Objectives: This study examines the associations between race and ethnicity and receipt of Baby Friendly Hospital Initiative (BFHI) key clinical practices that support breastfeeding in US hospitals.
Methods: National data from 2016 to 2019 CDC PRAMS were analyzed. Our sample included 60,395 mothers who initiated breastfeeding with healthy, term newborns.
J Racial Ethn Health Disparities
January 2025
Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Context: To evaluate algorithmic fairness in low birthweight predictive models.
Study Design: This study analyzed insurance claims (n = 9,990,990; 2013-2021) linked with birth certificates (n = 173,035; 2014-2021) from the Arkansas All Payers Claims Database (APCD).
Methods: Low birthweight (< 2500 g) predictive models included four approaches (logistic, elastic net, linear discriminate analysis, and gradient boosting machines [GMB]) with and without racial/ethnic information.
Kidney360
January 2025
The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, US.
Background: Patients on hemodialysis (HD) have a high burden of emotional and physical symptoms. These symptoms are often under-recognized. NLP can be used to identify patient symptoms from the EHR.
View Article and Find Full Text PDFGerontologist
January 2025
School of Aging Studies, University of South Florida, Tampa, Florida, USA.
Background And Objectives: To better understand racial/ethnic disparities in hearing aid use, we examined racial differences in discrepancies between subjective hearing ratings and objective hearing tests as a potential source of this disparity.
Research Design And Methods: A cross-sectional assessment was conducted using the data from the Health and Retirement Study (HRS). Our analytic sample included 2,568 participants aged 50 and older: 1,814 non-Hispanic White Americans and 754 non-Hispanic Black Americans.
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