Objectives: Maternal self-reported ethnicity is recognised as a risk factor for pre-eclampsia in clinical screening tools and models. This study investigated whether ethnicity is acting as a proxy for genetic variants in this context.
Study Design: A total of 436 women from multi-ethnic backgrounds recruited to two UK observational pregnancy hypertension cohort studies were genotyped. Genetically-computed individual ancestry estimates were calculated for each individual through comparison to the multi-ethnic 1000 Genomes reference panel genotypes. Regression models for pre-eclampsia using clinical risk factors including self-reported ethnicity with and without ancestry estimates were built and compared using Likelihood Ratio Tests (LRT).
Main Outcome Measures: Pre-eclampsia (early- and late-onset).
Results: In these multi-ethnic cohorts (mean age 34.9 years; 41.3 % White, 34.2 % Black, 13.1 % Asian ethnic backgrounds; 82.6 % chronic hypertension), discrepancies between self-reported ethnicity and genetically-computed individual ancestry estimates were present in all ethnic groups, particularly minority groups. Genetically-computed pan-African ancestry percentage was associated with early-onset (< 34 weeks) pre-eclampsia in adjusted models (aOR 100 % vs 0 % African ancestry: 3.81, 95 % CI 1.04-14.14, p-value 0.044) independently of self-reported ethnicity and established clinical risk factors. Addition of genetically-computed African ancestry to a clinical risk factor model including self-reported ethnicity, improved model fit (Likelihood ratio test p-value 0.023).
Conclusions: Self-reported maternal ethnicity is an imperfect proxy for genetically-computed individual ancestry estimates, particularly in ethnic minority groups. Genetically-computed African ancestry percentage was associated with early-onset pre-eclampsia independently of self-reported maternal ethnicity. Well-powered studies in multi-ethnic cohorts are required to delineate the genetic contribution to pre-eclampsia.
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http://dx.doi.org/10.1016/j.preghy.2024.101162 | DOI Listing |
Med Care
February 2025
RAND, Health Care, Santa Monica, CA.
Background: Medicare Bayesian Improved Surname and Geocoding (MBISG), which augments an imperfect race-and-ethnicity administrative variable to estimate probabilities that people would self-identify as being in each of 6 mutually exclusive racial-and-ethnic groups, performs very well for Asian American and Native Hawaiian/Pacific Islander (AA&NHPI), Black, Hispanic, and White race-and-ethnicity, somewhat less well for American Indian/Alaska Native (AI/AN), and much less well for Multiracial race-and-ethnicity.
Objectives: To assess whether temporal inconsistency of self-reported race-and-ethnicity might limit improvements in approaches like MBISG.
Methods: Using the Medicare Health Outcomes Survey (HOS) baseline (2013-2018) and 2-year follow-up data (2015-2020), we evaluate the consistency of self-reported race-and-ethnicity coded 2 ways: the 6 mutually exclusive MBISG categories and individual endorsements of each racial-and-ethnic group.
JMIR Form Res
January 2025
School of Nursing, University of Pennsylvania, 418 Curie Blvd, Philadelphia, PA, 19104, United States, 1 8123695216.
Background: While the significance of care navigation in facilitating access to health care within the lesbian, gay, bisexual, transgender, queer, and other (LGBTQ+) communities has been acknowledged, there is limited research examining how care navigation influences an individual's ability to understand and access the care they need in real-world settings. By analyzing private sector data, we can bridge the gap between theoretical research findings and practical applications, ultimately informing both business strategies and public policy with evidence grounded in real-world efficacy.
Objective: The objective of this study was to evaluate the impact of specialized virtual care navigation services on LGBTQ+ individuals' ability to comprehend and access necessary care within a national cohort of commercially insured members.
Creat Nurs
January 2025
Society and Ageing Research Lab, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Educational programs for health-care providers increasingly implement culturally sensitive care. Clear methods for educating students in cultural awareness are still lacking. Research indicates that simply increasing knowledge on ethnicity, culture, or migration does not improve culturally sensitive behavior and can foster stereotypes.
View Article and Find Full Text PDFBMJ Open
January 2025
Centre for Primary Care and Public Health, Queen Mary University of London Wolfson Institute of Preventive Medicine, London, UK.
Objective: In the UK and worldwide, there are substantial ethnic inequalities in maternal and perinatal care and outcomes. We aim to assess the impact of the unprecedented change in care provision during the COVID-19 pandemic on inequalities in adverse maternity outcomes.
Design: Retrospective cohort study using structured electronic health record data.
JCO Oncol Pract
January 2025
Division of Oncology, Stanford University School of Medicine, Stanford, CA.
Purpose: Food insecurity is prevalent among patients with cancer. Gaps in our understanding of preferences for food assistance among Latino or Hispanic, immigrant, and people with multiple races and ethnicities limit uptake of food assistance interventions among these populations. We aimed to deeply understand the needs and preferences and barriers to food assistance intervention uptake among low-income, predominantly Latino or Hispanic, immigrant, and people with multiple races and ethnicities and cancer to inform development of tailored interventions.
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