98%
921
2 minutes
20
Background: Carotid intima-media thickness (cIMT) and carotid plaque are reliable indicators of cardiovascular disease risk, and research highlights that racial and ethnic minority individuals generally exhibit higher cIMT and carotid plaque than White individuals. At present, the mechanisms driving these disparities among different racial and ethnic and biological sex groups are poorly understood.
Methods And Results: Data came from the baseline examination of MESA (Multi-Ethnic Study of Atherosclerosis). A total of 6814 participants aged 45 to 84 years free of clinical cardiovascular disease completed assessments on health behavior and perceived discrimination. Four sex-stratified moderated mediation models examined associations between discrimination, cigarette smoking, and mean cIMT and plaque. We hypothesized that cigarette use would mediate the association between discrimination and carotid artery disease features, and that these would differ by race and ethnicity. Indirect effects of discrimination on plaque were observed among Hispanic women such that discrimination was associated with cigarette use and, in turn, higher plaque (β=0.04 [95% CI, 0.01-0.08]). Indirect effects of discrimination on mean cIMT were found among Hispanic (β=0.003 [95% CI, 0.0001-0.007]) and White men (β=0.04 [95% CI, 0.01-0.08]) such that discrimination was associated with cigarette use and, in turn, higher cIMT. Finally, a positive indirect effect of discrimination on plaque was observed among Hispanic men (β=0.03 [95% CI, 0.004-0.07]). No other racial and ethnic differences were observed.
Conclusions: To understand and address social determinants of cardiovascular disease, researchers must incorporate an intersectional framework that will allow us to understand the complex nature of discrimination and cardiovascular disease risk for individuals of varying intersecting identities and social positions.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10944061 | PMC |
http://dx.doi.org/10.1161/JAHA.123.032659 | DOI Listing |
Comput Biol Med
September 2025
INSIGNEO Institute for in silico medicine, University of Sheffield, UK; School of Mechanical, Aerospace and Civil Engineering, University of Sheffield, UK. Electronic address:
Modelling cardiovascular disease is at the forefront of efforts to use computational tools to assist in the analysis and forecasting of an individual's state of health. To build trust in such tools, it is crucial to understand how different approaches perform when applied to a nominally identical scenario, both singularly and across a population. To examine such differences, we have studied the flow in aneurysms located on the internal carotid artery and middle cerebral artery using the commercial solver Ansys CFX and the open-source code HemeLB.
View Article and Find Full Text PDFJACC Heart Fail
September 2025
Université de Lorraine, Inserm, Centre d'Investigations Cliniques Plurithématique 1433, Centre Hospitalier Régional Universitaire de Nancy, Nancy, France.
Arch Med Res
September 2025
Department and Graduate Institute of Microbiology and Immunology, National Defense Medical Center, Taipei, Taiwan. Electronic address:
Background: Atherosclerosis, a leading cause of cardiovascular disease (CVD) mortality worldwide, is characterized by dysregulated lipid metabolism and unresolved inflammation. Macrophage-derived foam cell formation and apoptosis contribute to plaque formation and vulnerability. Elevated serum galectin-3 (Gal-3) levels are associated with increased CVD risk, and Gal-3 in plaques is strongly associated with macrophages.
View Article and Find Full Text PDFJMIR Med Inform
September 2025
Departments of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, China, 86 18922109279, 86 20852523108.
Background: Despite the Coronary Artery Reporting and Data System (CAD-RADS) providing a standardized approach, radiologists continue to favor free-text reports. This preference creates significant challenges for data extraction and analysis in longitudinal studies, potentially limiting large-scale research and quality assessment initiatives.
Objective: To evaluate the ability of the generative pre-trained transformer (GPT)-4o model to convert real-world coronary computed tomography angiography (CCTA) free-text reports into structured data and automatically identify CAD-RADS categories and P categories.
J Med Internet Res
September 2025
Faculty of Medicine, The University of Sydney, Sydney, Australia.
Background: Hypertensive disorders of pregnancy (HDP) affect up to 10% of pregnancies and can have adverse short and long-term implications for women and their babies. eHealth interventions include any health service or treatment delivered using the internet and related technology that aims to facilitate, capture, or exchange knowledge. eHealth interventions are increasingly used across many health care settings with improved outcomes.
View Article and Find Full Text PDF