Objective: To assess the 10-year risk of coronary artery disease (CAD) in subjects with impaired glucose tolerance (IGT) using Framingham risk score.
Methods: Data for this study was collected from Diabetes Prevention and Awareness Program. Primary prevention team visited different primary health care centers, factories, service organizations and offices within Karachi, Pakistan. IGT was diagnosed according to World Health Organization criteria after taking informed consent. Information regarding social-demography, dietary habits and physical activities were obtained by a designed questionnaire on one-to-one based interview. Framingham risk score (FRS) was used to assess risk of developing CAD.
Results: A total of 315 subjects with IGT were recruited for the study. Mean age of subjects was 44.1 ± 9.8 years and mean BMI was 27.3 ± 5.0 kg/m. Overall, 31.4% of the participants were at risk of having CAD. Males were 6.4 times and hypertensive subjects were 2.44 times more likely to have CAD in next 10 years.
Conclusion: According to the findings of the study, male and hypertensive IGT subjects were more likely to develop CAD in next 10 years. Community based awareness programs are needed to educate people regarding healthy lifestyle in order to reduce the risk of IGT and CAD.
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http://dx.doi.org/10.12669/pjms.325.10448 | DOI Listing |
BMC Endocr Disord
January 2025
Family medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Box 454, Göteborg, 40530, Sweden.
Background: Endogenous sex hormones in postmenopausal women have been associated with risk of cardiovascular diseases. The aim of this study was to determine the association between endogenous sex hormones and the revised Framingham Stroke Risk Profile (rFSRP) in postmenopausal women.
Methods: This is an observational cross-sectional study on the Vara-Skövde cohort, a Swedish population-based study for longitudinal surveillance of the development and progress of type 2 diabetes and hypertension.
J Prev Alzheimers Dis
February 2025
Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA. Electronic address:
Background: Protein abundance levels, sensitive to both physiological changes and external interventions, are useful for assessing the Alzheimer's disease (AD) risk and treatment efficacy. However, identifying proteomic prognostic markers for AD is challenging by their high dimensionality and inherent correlations.
Methods: Our study analyzed 1128 plasma proteins, measured by the SOMAscan platform, from 858 participants 55 years and older (mean age 63 years, 52.
J Prev Alzheimers Dis
February 2025
Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA; The Framingham Study, Framingham, MA, USA; Department of Neurology, Boston University School of Medicine, Boston, MA, USA.
Background: Ultra-processed food consumption is emerging as a risk factor for various cardiometabolic diseases, however its association with dementia and Alzheimer's disease has rarely been explored.
Objectives: We sought to examine whether ultra-processed food consumption is associated with risk of all-cause dementia and Alzheimer's disease among middle-age and older adults.
Design: A prospective cohort study.
Comput Med Imaging Graph
January 2025
Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea; Department of Family Medicine, Seoul National University Hospital, Seoul, South Korea. Electronic address:
This study introduces the Deep Learning-based Cardiovascular Disease Incident (DL-CVDi) score, a novel biomarker derived from routine abdominal CT scans, optimized to predict cardiovascular disease (CVD) risk using deep survival learning. CT imaging, frequently used for diagnosing various conditions, contains opportunistic biomarkers that can be leveraged beyond their initial diagnostic purpose. Using a Cox proportional hazards-based survival loss, the DL-CVDi score captures complex, non-linear relationships between anatomical features and CVD risk.
View Article and Find Full Text PDFPLoS One
January 2025
Equity Research and Innovation Center, Section of General Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.
Background: Accurate assessment of cardiovascular disease (CVD) risk is crucial for effective prevention and resource allocation. However, few CVD risk estimation tools consider social determinants of health (SDoH), despite their known impact on CVD risk. We aimed to estimate 10-year CVD risk in the Eastern Caribbean Health Outcomes Research Network Cohort Study (ECS) across multiple risk estimation instruments and assess the association between SDoH and CVD risk.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!