Background: Whether racial/ethnic disparities in Alzheimer's disease (AD) risk may be explained by ambient fine particles (PM2.5) has not been studied.
Method: We conducted a prospective, population-based study on a cohort of Black (n = 481) and White (n = 6 004) older women (aged 65-79) without dementia at enrollment (1995-1998). Cox models accounting for competing risk were used to estimate the hazard ratio (HR) for racial/ethnic disparities in AD (1996-2010) defined by Diagnostic and Statistical Manual of Mental Disorders, 4th edition and the association with time-varying annual average PM2.5 (1999-2010) estimated by spatiotemporal model.
Results: Over an average follow-up of 8.3 (±3.5) years with 158 incident cases (21 in Black women), the racial disparities in AD risk (range of adjusted HRBlack women = 1.85-2.41) observed in various models could not be explained by geographic region, age, socioeconomic characteristics, lifestyle factors, cardiovascular risk factors, and hormone therapy assignment. Estimated PM2.5 exposure was higher in Black (14.38 ± 2.21 µg/m3) than in White (12.55 ± 2.76 µg/m3) women, and further adjustment for the association between PM2.5 and AD (adjusted HRPM2.5 = 1.18-1.28) slightly reduced the racial disparities by 2%-6% (HRBlack women = 1.81-2.26). The observed association between PM2.5 and AD risk was ~2 times greater in Black (HRPM2.5 = 2.10-2.60) than in White (HRPM2.5 = 1.07-1.15) women (range of interaction ps: <.01-.01). We found similar results after further adjusting for social engagement (social strain, social support, social activity, living alone), stressful life events, Women's Health Initiative's clinic sites, and neighborhood socioeconomic characteristics.
Conclusions: PM2.5 may contribute to racial/ethnic disparities in AD risk and its associated increase in AD risk was stronger among Black women.
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http://dx.doi.org/10.1093/gerona/glab231 | DOI Listing |
J Surg Oncol
December 2024
Department of Surgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Introduction: Racial disparities in minimally invasive surgery (MIS) utilization across gastrointestinal (GI) cancers are not well characterized. We evaluated racial/ethnic disparities in the use of MIS approaches and associated outcomes.
Methods: We analyzed a cohort of patients with GI cancer in the National Cancer Database (2010-2020).
Biometrics
October 2024
RAND Corporation, Pittsburgh, PA 15213, United States.
Health care decisions are increasingly informed by clinical decision support algorithms, but these algorithms may perpetuate or increase racial and ethnic disparities in access to and quality of health care. Further complicating the problem, clinical data often have missing or poor quality racial and ethnic information, which can lead to misleading assessments of algorithmic bias. We present novel statistical methods that allow for the use of probabilities of racial/ethnic group membership in assessments of algorithm performance and quantify the statistical bias that results from error in these imputed group probabilities.
View Article and Find Full Text PDFAm J Otolaryngol
December 2024
Department of Otolaryngology - Head and Neck Surgery, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America.
Objective: Our study aims to shed light on racial, ethnic, and geographic disparities in phase 2/3 Meniere's disease (MD) clinical trials, with the ultimate goal of enhancing the inclusivity and effectiveness of future MD research.
Methods: We conducted a systematic review of phase 2/3 MD Randomized Controlled Trials (RCTs). Using the search terms "Meniere's Disease" and "Endolymphatic hydrops", we searched ClinicalTrials.
Liver Int
January 2025
Division of Gastroenterology-Hepatology, Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA.
Introduction: Racial/ethnic disparities have been previously reported in renal and hepatic disease care; however, acute kidney injury (AKI) in the setting of cirrhosis (hepatorenal syndrome [HRS]-AKI) despite its complexity requiring a multidisciplinary approach, remains understudied.
Methods: To identify unique associations of clinical and sociodemographic factors with mortality and length of stay (LOS) among patients hospitalised with HRS-AKI, hierarchical regression analysis was conducted, along with a mediation analysis to estimate how race-related differences in in-hospital mortality were influenced by payer type, area household income, and clinical severity.
Results: Black patients demonstrated a significantly higher odds of in-hospital mortality, compared to their white counterparts, adjusting for (1) sex and age, (2) sex, age, payer type, and area household income and (3) sex, age, and clinical severity [OR 1.
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