Background: Results from previous studies support the association of lipoprotein(a) [Lp(a)] levels and coronary artery disease risk. In this study, we analyzed the association between baseline Lp(a) levels and future progression of coronary artery calcification (CAC) in apparently healthy Korean adults.
Methods: A total of 2611 participants (mean age: 41years, 92% mend) who underwent a routine health check-up in 2010 and 2014 were enrolled. Coronary artery calcium score (CACS) were measured by multi-detector computed tomography. Baseline Lp(a) was measured by high-sensitivity immunoturbidimetric assay. Progression of CAC was defined as a change in CACS >0 over four years.
Results: Bivariate correlation analyses with baseline Lp(a) and other metabolic parameters revealed age, total cholesterol, HDL-C, LDL-C and CACS to have a significant positive correlation, while body weight, fasting glucose level, blood pressure and triglyceride level were negatively correlated with baseline Lp(a) level. After four years of follow-up, 635 subjects (24.3%) had CAC progression. The participants who had CAC progression were older, composed of more men, more obese, and had higher fasting glucose levels and worse baseline lipid profiles compared to those who did not have CAC progression. The mean serum Lp(a) level was significantly higher in subjects who had CAC progression compared to those who did not (32.5 vs. 28.9mg/dL, p<0.01). When the risk for CAC progression according to baseline Lp(a) was calculated, those with Lp(a) level≥50mg/dL had an odds ratio of 1.333 (95% CI 1.027-1.730) for CAC progression compared to those with Lp(a)<50mg/dL after adjusting for confounding factors.
Conclusions: In this study, the subjects who had higher Lp(a) were at significantly higher risk for CAC progression after four years of follow-up, suggesting the role of high Lp(a) in CAC progression.
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http://dx.doi.org/10.1016/j.ijcard.2016.07.219 | DOI Listing |
BMC Public Health
January 2025
Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, NSW, 2522, Australia.
Introduction: The relationship between 24-h movement behaviours (i.e. sleep, sedentary behaviour and physical activity) and adiposity in preschoolers remains unclear.
View Article and Find Full Text PDFSpine (Phila Pa 1976)
January 2025
Department of Orthopedics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Study Design: A retrospective review of a prospective adult spinal deformity data.
Objective: To identify distinct patient clinical profiles and recovery trajectories in patients with adult spinal deformity (ASD).
Summary Of Background Data: Patients with ASD exhibit a diverse array of symptoms and significant heterogeneity in clinical presentations, posing challenges to precise clinical decision-making.
J Clin Lipidol
December 2024
Center for the Prevention of Cardiovascular Disease, Leon H. Charney Division of Cardiology, Department of Medicine, NYU Grossman School of Medicine. 530 First Avenue, HCC5, New York, NY 10016, USA. Electronic address:
Background: Lipoprotein(a) [Lp(a)] is a driver of residual cardiovascular risk. Proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) decrease Lp(a) with significant heterogeneity in response. We investigated contributors to the heterogeneous response.
View Article and Find Full Text PDFJ Nutr Health Aging
January 2025
Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China. Electronic address:
Background: Modifiable lifestyle behaviors significantly influence the risk of cognitive impairment. However, the cumulative effects of multidimensional lifestyle profiles on cognitive function remain poorly understood, as most studies examine individual lifestyle behaviors in isolation. This study aimed to identify distinct profiles of individuals based on healthy lifestyle behaviors and to examine associations between these profiles and cognitive function in older Chinese adults.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Background: Heart failure (HF) is a common and deadly disease, precipitated by physical inactivity and sedentary behavior. Although the 1-year survival rate after the first diagnosis is high, physical inactivity and sedentary behavior are associated with increased mortality and negatively impact the health-related quality of life (HR-QoL).
Objective: We tested the recruitment frequency, implementation fidelity, and feasibility of outcomes of the Activity Coach app that was developed using an existing mobile health (mHealth) tool, Optilogg, to support older adults with HF to be more physically active and less sedentary.
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