Purpose: Our aim was to provide a descriptive analysis of specific differences between rural and urban residents and the interaction between these differences and those who reduced cardiovascular disease (CVD) risk in response to intervention versus those who did not.
Methods: This study is a descriptive analysis comparing rural groups with urban groups and those who decreased CVD risk with those who did not. Two hundred five rural (median age = 64.0 years [interquartile = 57.0, 71.0], 56% men) and 183 urban (median age = 58.0 years [interquartile = 50.0, 65.0], 53% men) residents were included.
Results: Rural and urban groups differed (P < .05) for demographic, anthropometric, physiological, and health-related variables. Those who decreased CVD risk, regardless of rural or urban, had greater blood pressure, greater low-density lipoprotein cholesterol, lower walking distance, greater CVD risk score, greater metabolic syndrome score, and greater internal health locus of control (all P < .05). Interestingly, there were differences between those who decreased risk and those who did not within the rural and urban groups. Triglycerides, C-reactive protein, diabetes knowledge, risk perception, and outcome expectations were greater for the rural group who decreased their CVD risk versus those who did not (all P < .05). For the urban group, there was a greater powerful others locus of control for those who decreased CVD risk (P < .05).
Conclusions: To maximize the likelihood of success, risk reduction intervention and educational strategies for urban and rural groups must be tailored to address unique demographic, physiological, and health-related characteristics.
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http://dx.doi.org/10.1097/HCR.0b013e3181d6fb82 | DOI Listing |
Nutr Metab Cardiovasc Dis
December 2024
Department of Geriatrics Cardiology, The Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, China. Electronic address:
Background And Aim: The Naples Prognostic Score (NPS) predicts outcomes in various diseases, but its impact on cardiovascular disease (CVD) is understudied. This study investigates the association between NPS and CVD prevalence and mortality among US adults.
Methods And Results: This study utilized data from the Continuous National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2016, with mortality follow-up data available through December 31, 2019.
Atherosclerosis
December 2024
The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Genomic Data Analytics, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address:
Background And Aims: An in silico quantitative score of coronary artery disease (ISCAD), built using machine learning and clinical data from electronic health records, has been shown to result in gradations of risk of subclinical atherosclerosis, coronary artery disease (CAD) sequelae, and mortality. Large-scale metabolite biomarker profiling provides increased portability and objectivity in machine learning for disease prediction and gradation. However, these models have not been fully leveraged.
View Article and Find Full Text PDFLipids Health Dis
January 2025
Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, People's Republic of China.
Background: Age-related macular degeneration (AMD) decrease vision and presents considerable challenges for both public health and clinical management strategies. Obesity is usually implicated with increased AMD, and body mass index (BMI) does not reflect body fat distribution. An array of studies has indicated a robust relationship between body fat distribution and obesity.
View Article and Find Full Text PDFJ Hum Hypertens
January 2025
Department of Pediatrics and Child Health, University of Ilorin, Ilorin, Nigeria.
SLAS Technol
January 2025
Department of General Medicine, The First Afiliated Hospital of Jinan University, Guangzhou, Guangdong, 510000, China. Electronic address:
Chronic kidney disease (CKD) significantly increases the risk of CVD diseases, particularly among elderly patients. Understanding the interaction between several biomarkers and cardiovascular (CVD) risks is crucial for improving patient outcomes and tailoring personalized treatment strategies. There is much more to learn about the intricate relationship between biomarkers and CVD risks in elderly CKD patients.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!