Background: Coronary artery disease is the most common cause of cardiovascular disease. Smoking is one of the triggering factors for CAD, which increases mortality and morbidity rates. The aim of this study was to assess the impact of the SMART heart package on high-risk adults' knowledge and practice of coronary artery disease prevention.
Material And Method: A quasi-experimental research study was conducted in India from March 25 to April 23, 2022, through a house-to-house survey. This survey was conducted among 200 adults out of 159 high-risk adults who were identified by a screening tool, using a systematic random sampling technique to select 60 subjects for the study. A SMART heart package intervention was administered for selected high-risk adults. The pre-test and the post-test were conducted using self-administered structured questionnaires for knowledge and a non-observation checklist for practice. The data had been analyzed by the Statistical Package for Social Science (SPSS) version 20.0.
Results: The findings show that at the baseline level of knowledge and practice, the majority of the subjects had inadequate knowledge 43 (71.7%) and 51 (85.0%) had poor practice, whereas after administration of the SMART heart package, 29 (48.3%) of subjects had moderately adequate knowledge and 29 (48.3%) had average practice. At baseline, the mean score was 41.5%, which increased to 79.1% on knowledge and 37.2% to 72.5% on practice after the implementation of the intervention, which was statistically significant ( < 0.001).
Conclusion: Hence, the SMART heart package was effective in increasing the level of knowledge and practice of CAD prevention among high-risk adults.
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http://dx.doi.org/10.4103/jehp.jehp_260_23 | DOI Listing |
JAMA Netw Open
January 2025
Department of Radiology, Keio University School of Medicine, Tokyo, Japan.
Importance: The integration of patient-reported outcome (PRO) assessments in cardiovascular care has encountered considerable obstacles despite their established clinical relevance.
Objective: To assess the impact of a physician- and patient-friendly electronic PRO (ePRO) monitoring system on the quality of cardiovascular care in clinical practice.
Design, Setting, And Participants: This open-label, multicenter, pilot randomized clinical trial was phase 2 of a multiphase study that was conducted from October 2022 to October 2023 and focused on the implementation and evaluation of an ePRO monitoring system in outpatient clinics in Japan.
PLoS One
January 2025
Department of Computer Science and Technology, School of Computer Science, Northeast Electric Power University, Jilin, China.
Predicting Drug-Drug Interactions (DDIs) enables cost reduction and time savings in the drug discovery process, while effectively screening and optimizing drugs. The intensification of societal aging and the increase in life stress have led to a growing number of patients suffering from both heart disease and depression. These patients often need to use cardiovascular drugs and antidepressants for polypharmacy, but potential DDIs may compromise treatment effectiveness and patient safety.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Department of Computer Science, Tunghai University, Taichung 407224, Taiwan.
Background And Objective: Cardiovascular disease (CVD), one of the chronic non-communicable diseases (NCDs), is defined as a cardiac and vascular disorder that includes coronary heart disease, heart failure, peripheral arterial disease, cerebrovascular disease (stroke), congenital heart disease, rheumatic heart disease, and elevated blood pressure (hypertension). Having CVD increases the mortality rate. Emotional stress, an indirect indicator associated with CVD, can often manifest through facial expressions.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada.
The integration of radar technology into smart furniture represents a practical approach to health monitoring, circumventing the concerns regarding user convenience and privacy often encountered by conventional smart home systems. Radar technology's inherent non-contact methodology, privacy-preserving features, adaptability to diverse environmental conditions, and high precision characteristics collectively establish it a compelling alternative for comprehensive health monitoring within domestic environments. In this paper, we introduce a millimeter (mm)-wave radar system positioned strategically behind a seat, featuring an algorithm capable of identifying unique cardiac waveform patterns for healthy subjects.
View Article and Find Full Text PDFDiabetes Technol Ther
January 2025
Department of Paediatric Diabetes and Endocrinology, John Hunter Children's Hospital, New Lambton Heights, New South Wales, Australia.
To compare glycemic outcomes during and following moderate-intensity exercise (MIE), high-intensity interval exercise (HIE), and resistance exercise (RE) in adolescents with type 1 diabetes (T1D) using a hybrid closed-loop (HCL) insulin pump while measuring additional physiological signals associated with activity. Twenty-eight adolescents (average age 16.3 ± 2.
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