Purpose: We examined perceptions of 10-year coronary heart disease (CHD) risk or likelihood of having undiagnosed diabetes or impaired fasting glucose (IFG) with actual risk in a community sample of Hispanic adults.
Methods: We conducted a survey of 183 Hispanic adults (> or =18 years) recruited at community events around Charleston, SC. Likelihood of having undiagnosed diabetes/IFG as well as 10-year CHD risk were calculated. Perceived risk was assessed with questions based on the Risk Perception Survey-Diabetes Mellitus.
Results: Over half of respondents (54.8%) underestimated their likelihood of undiagnosed diabetes/IFG and 14.8% underestimated their 10-year CHD risk. Older and overweight respondents were more likely to underestimate their likelihood of undiagnosed diabetes/IFG. Respondents with family history of diabetes were the least likely to underestimate their likelihood of current undiagnosed diabetes/IFG. Respondents with diagnosed hypertension, diabetes, high cholesterol or a family history of heart attack were more likely to underestimate their 10-year CHD risk. Men were more likely to underestimate their risk for diabetes/IFG and CHD risk.
Conclusions: Health education to improve accurate risk perception could improve health promotion for this population.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498575 | PMC |
Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.
View Article and Find Full Text PDFFront Cardiovasc Med
January 2025
Department of Nursing, School of Medical and Health Engineering, Changzhou University, Changzhou, Jiangsu, China.
Background: Coronary atherosclerotic heart disease (coronary heart disease; CHD) is the leading cause of death in women worldwide, and the number of patients and deaths is increasing each year. Approximately 3.8 million women die from CHD every year globally.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Emergency, Wuhan Fourth Hospital, Wuhan, Hubei, China.
Background: At present, the relationship among inflammatory markers [monocytes/HDL-c (MHR), neutrophils/HDL-c (NHR) and lymphocytes/HDL-c (LHR)] and long-term prognosis of coronary heart disease (CHD) is still unclear. Therefore, this study explores the relationship between inflammatory indicators and the risk of long-term major adverse cardiovascular events (MACE) in elderly patients with CHD.
Methods: A retrospective analysis was conducted on 208 elderly patients who underwent coronary angiography at Wuhan Fourth Hospital from August 2022 to August 2023.
BMC Med Genomics
January 2025
Department of Cardiovascular Surgery, Gansu Provincial Hospital, No. 204, Donggang West Road, Lanzhou City, Gansu Province, 730000, China.
Background: We did this study to better clarify the correlations of methylenetetrahydrofolate dehydrogenase 1 (MTHFD1)-G1958A (rs2236225) gene polymorphism with the risk of congenital heart diseases (CHD) and its subgroups.
Methods: Relevant articles were searched in PubMed, Web of Science, Cochrane Library, Embase, CNKI, VIP database and Wanfang DATA until October 2023. We will use odds ratios (ORs) and 95% confidence intervals (CIs) to examine the potential associations of MTHFD1- G1958A gene polymorphism with CHD and its subgroups.
Med Phys
January 2025
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Background: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for effective heavy ion therapy (HIT). However, there is a shortage of deep learning (DL) models and workflows for predicting Monte Carlo (MC) doses in such treatments.
Purpose: This study seeks to address this gap by developing a DL model for independent MC dose (MCDose) prediction, aiming to facilitate OART and rapid QA implementation for HIT.
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