Objective: We investigated whether ideal cardiovascular health (ICH), a metric proposed by the American Heart Association, predicts depression development.
Methods: Cohort analysis from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Adults with no current depression and other common mental disorders, cardiovascular diseases, and antidepressant drug use at baseline had their ICH (composite score of smoking, dietary habits, body mass index, blood pressure, fasting glucose, cholesterol, and physical activity) assessed and classified into poor, intermediate, and optimal. Depression was assessed using the Clinical Interview Schedule-Revised (CIS-R). Poisson regression models, adjusted for sociodemographic factors and alcohol consumption, were employed. Stratified analyses were performed for age and sex.
Results: We included 9214 participants (mean age 52 ± 9 years, 48.6% women). Overall depression incidence at 3.8-year follow-up was 1.5%. Intermediate and poor ICH significantly increased the risk rate (RR) of developing depression (2.48 [95%CI 1.06-5.78] and 3 [1.28-7.03], respectively) at a 3.8-year follow-up. Higher ICH scores decreased the rate of depression development (RR = 0.84 [0.73-0.96] per metric). Stratified analyses were significant for women and adults < 55 years old.
Conclusions: Poor cardiovascular health tripled depression risk at follow-up in otherwise healthy adults. Ameliorating cardiovascular health might decrease depression risk development.
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http://dx.doi.org/10.1111/acps.13109 | DOI Listing |
Sci Rep
January 2025
Mechanical Engineering, Carnegie Mellon University, Pittsburgh, 15213, USA.
Local hemodynamics play an essential role in the initiation and progression of coronary artery disease. While vascular geometry alters local hemodynamics, the relationship between vascular structure and hemodynamics is poorly understood. Previous computational fluid dynamics (CFD) studies have explored how anatomy influences plaque-promoting hemodynamics.
View Article and Find Full Text PDFJ Cardiovasc Magn Reson
January 2025
Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. Electronic address:
Background: Four-dimensional (4D) flow cardiovascular magnetic resonance (CMR) shows promise for quantifying mitral regurgitation (MR) by allowing for direct regurgitant volume (RVol) measurement using a plane precisely placed at the MR jet. However, the ideal location of a measurement plane remains unclear. This study aims to systematically examine how varying measurement locations affect RVol quantification and determine the optimal location using the momentum conservation principle of a free jet.
View Article and Find Full Text PDFPort J Card Thorac Vasc Surg
January 2025
Division of Cardiovascular Surgery, Temple University Hospital, Philadelphia, Pennsylvania. USA.
Infective endocarditis carries a high risk of morbidity and mortality with recurrent infections and non-compliance. In the case of right-sided endocarditis, the indications for intervention are less clear. The Angiovac procedure provides a treatment for right-sided endocarditis that is a less-invasive and ideal for a complicated patient population.
View Article and Find Full Text PDFSci Rep
January 2025
University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan, 680-749, Republic of Korea.
This study employed large eddy simulation (LES) with the wall-adapting local eddy-viscosity (WALE) model to investigate transitional flow characteristics in an idealized model of a healthy thoracic aorta. The OpenFOAM solver pimpleFoam was used to simulate blood flow as an incompressible Newtonian fluid, with the aortic walls treated as rigid boundaries. Simulations were conducted for 30 cardiac cycles and ensemble averaging was employed to ensure statistically reliable results.
View Article and Find Full Text PDFFuture Cardiol
January 2025
Division of Cardiac Surgery, University of Toronto, Toronto, ON, Canada.
Reaching competency in congenital heart surgery (CHS) requires lengthy and rigorous training. Due to patient safety, time limitations, and procedural complexity, the intraoperative setting is not ideal for technical practice. Surgical simulation using synthetic, biological, or virtual models is an increasingly valuable educational tool for technical training and assessment.
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