Background: Reducing body weight by nutritional management is an integral element of cardiac rehabilitation and in secondary prevention of cardiovascular diseases. Administration of a "plate model" is one practical aspect to control calorie intake. The study aimed to evaluate the effectiveness of the plate model as a part of dietary modification in losing excess weight in post-myocardial infarction (MI) patients.
Methods: An interventional, randomized, single-blinded study with parallel subject allocation was conducted among patients with a history of troponin-positive acute coronary syndrome (ACS). A total of 120 patients were recruited to intervention and control groups. The Intervention cluster was provided with 'plate model' and both groups received standard cardiac rehabilitation care. Anthropometric, clinical and metabolic parameters were measured at recruitment and repeated during 4th and 12th week.
Results: A sample of 79 patients (the intervention group: 40, the control group: 39) completed the study. At the end of 12 weeks participants in the intervention group exhibited a significant weight loss (-1.27±3.58 -0.26±2.42 kg; P=0.029) and a significant reduction in BMI (-0.48±1.31 -0.10±0.89 kg/m; P=0.023). Overweight and obese patients (BMI >23 kg/m) displayed greater weight loss (-2.13±3.46 0.12±2.62 kg; P=0.013). Many of overweight and obese patients in the test group (35.7%) experienced a weight loss ≥5% compared to the control group (13.04%) which was a nearly significant result (P=0.065). No significant changes observed in other metabolic parameters.
Conclusions: Plate model is an effective dietary intervention in view of weight reduction in post-MI patients.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511685 | PMC |
http://dx.doi.org/10.21037/cdt.2019.03.04 | DOI Listing |
Vaccines (Basel)
December 2024
The Vaccine Bio Research Institute, College of Medicine, The Catholic University of Korea, Annex to Seoul Saint Mary Hospital, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea.
Background: Influenza remains a significant public health challenge, with vaccination being a substantial way to prevent it. Cell-cultured influenza vaccines have emerged to improve on the drawbacks of egg-based vaccines, but there are few studies focusing on T cell immunity with both types of vaccines. Therefore, we studied the following 2022-2023 seasonal influenza vaccines with a standard dose and high dose: cell-based (C_sd and C_hd) and egg-based (E_sd and E_hd) vaccines.
View Article and Find Full Text PDFVaccines (Basel)
December 2024
Center for Vaccines and Immunology, University of Georgia, Athens, GA 30605, USA.
Standard-of-care influenza vaccines contain antigens that are typically derived from components of wild type (WT) influenza viruses. Often, these antigens elicit strain-specific immune responses and are susceptible to mismatch in seasons where antigenic drift is prevalent. Thanks to advances in viral surveillance and sequencing, influenza vaccine antigens can now be optimized using computationally derived methodologies and algorithms to enhance their immunogenicity.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Electrocardiogram (ECG) signals contain complex and diverse features, serving as a crucial basis for arrhythmia diagnosis. The subtle differences in characteristics among various types of arrhythmias, coupled with class imbalance issues in datasets, often hinder existing models from effectively capturing key information within these complex signals, leading to a bias towards normal classes. To address these challenges, this paper proposes a method for arrhythmia classification based on a multi-branch, multi-head attention temporal convolutional network (MB-MHA-TCN).
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin 300132, China.
With the escalating threat posed by network intrusions, the development of efficient intrusion detection systems (IDSs) has become imperative. This study focuses on improving detection performance in programmable logic controller (PLC) network security while addressing challenges related to data imbalance and long-tail distributions. A dataset containing five types of attacks targeting programmable logic controllers (PLCs) in industrial control systems (ICS) was first constructed.
View Article and Find Full Text PDFPolymers (Basel)
December 2024
Catalysis Research Group (CRG), Department of Chemistry, College of Science, King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia.
This work focuses on the preparation and application of silver nanoparticles/organophilic clay/polyethylene glycol for the catalytic reduction of the contaminants methylene blue (MB) and 4-nitrophenol (4-NP) in a simple and binary system. Algerian clay was subjected to a series of treatments including acid treatment, ion exchange with the surfactant hexadecyltrimethylammonium bromide (HTABr), immobilization of polyethylene glycol polymer, and finally dispersion of AgNPs. The molecular weight of polyethylene glycol was varied (100, 200, and 4000) to study its effect on the stabilization of silver nanoparticles (AgNPs) and the catalytic activity of the resulting samples.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!