Our objective was to evaluate the effects of a moderate calorie and carbohydrate-restricted diet on cardiovascular risk indicators in overweight or obese patients with prediabetes. A clinical trial was conducted in which 86 subjects presenting with overweight or obesity and prediabetes received a personalized diet of 1,200 to 1,700 calories with a distribution of 50 % carbohydrates, 20 % proteins, and 30 % fat. Body weight, fat mass, and lean mass were measured through bioimpedance. Glucose, total cholesterol, high density lipoprotein cholesterol and low density cholesterol, and triglycerides were measured. The measurements were taken at the beginning of, and at, 6 and 12 months during the intervention, and the differences were compared by paired Student's t and χ(2) tests. At 12 months, a significant reduction was noticed in body weight in patients with overweight and obesity (72.4 ± 7.8-69.6 ± 7.5 kg) (85.7 ± 14.8-80.2 ± 12.7 kg) with body mass index (28.2 ± 0.8-27.2 ± 2.1 kg/m(2)) (34.3 ± 3.5-32.1 ± 3.2 kg/m(2)), systolic (120.9 ± 14.2-112.4 ± 11.5 mmHg) (124.1 ± 11.9-115.7 ± 14.0 mmHg), diastolic blood pressures (79.0 ± 9.3-71.8 ± 8.3 mmHg) (80.4 ± 9.0-73.7 ± 13.1 mmHg), glucose (106.0 ± 8.9-95.9 ± 7.5 mg/dL) (107.3 ± 7.0-97.0 ± 8.2 mg/dL), and significant improvement on lipid profile (p < 0.05). The restrictions in the calorie and carbohydrate diet decrease the cardiovascular risk indicators in overweight or obese adults with prediabetes.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s12020-012-9775-z | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Lateral Atrial Expression Patterns Provide Insights into Local Transcription Disequilibrium Contributing to Disease Susceptibility.
Circ Genom Precis Med
January 2025
CARIM School for Cardiovascular Diseases (A.I., S.Z., J.W., B.B., H.J.G.M.C., B.H., M.K., S.V., U.S., M.S.), Maastricht University, the Netherlands.
Background: Transcriptional dysregulation, possibly affected by genetic variation, contributes to disease development. Due to dissimilarities in development, function, and remodeling during disease progression, transcriptional differences between the left atrial (LA) and right atrial (RA) may provide insight into diseases such as atrial fibrillation.
Methods: Lateral differences in atrial transcription were evaluated in CATCH ME (Characterizing Atrial fibrillation by Translating its Causes into Health Modifiers in the Elderly) using a 2-stage discovery and replication design.
Evaluation of a Machine Learning-Guided Strategy for Elevated Lipoprotein(a) Screening in Health Systems.
Circ Genom Precis Med
January 2025
Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (A.A., L.S.D., E.K.O., R.K.).
Background: While universal screening for Lp(a; lipoprotein[a]) is increasingly recommended, <0.5% of patients undergo Lp(a) testing. Here, we assessed the feasibility of deploying Algorithmic Risk Inspection for Screening Elevated Lp(a; ARISE), a validated machine learning tool, to health system electronic health records to increase the yield of Lp(a) testing.
View Article and Find Full Text PDFGut Microbiota Alterations in Patients With Kawasaki Disease.
Arterioscler Thromb Vasc Biol
January 2025
Department of Pediatrics, Division of Pediatric Infectious Diseases, Guerin Children's, Cedars-Sinai Medical Center, Los Angeles, CA.(P.K.J., M.A., M.N.R.).
The intestinal microbiota influences many host biological processes, including metabolism, intestinal barrier functions, and immune responses in the gut and distant organs. Alterations in its composition have been associated with the development of inflammatory disorders and cardiovascular diseases, including Kawasaki disease (KD). KD is an acute pediatric vasculitis of unknown etiology and the leading cause of acquired heart disease in children in the United States.
View Article and Find Full Text PDFRandom Survival Forest Machine Learning for the Prediction of Cardiovascular Events Among Patients With a Measured Lipoprotein(a) Level: A Model Development Study.
Circ Genom Precis Med
January 2025
Department of Medicine, Division of Cardiology (M.P., N.J.P., N.P.S.), Duke University, Durham, NC.
Background: Established risk models may not be applicable to patients at higher cardiovascular risk with a measured Lp(a) (lipoprotein[a]) level, a causal risk factor for atherosclerotic cardiovascular disease.
Methods: This was a model development study. The data source was the Nashville Biosciences Lp(a) data set, which includes clinical data from the Vanderbilt University Health System.
Differential Risk Profiles of Incident Abdominal Aortic Aneurysms in Specific Subgroups: A Large Cohort-based Study.
Ann Surg
January 2025
Hubei Key Laboratory of Ischemic Cardiovascular Disease, Yichang, China.
Objective: The aim of this study is to explore the risk profiles associated with Abdominal aortic aneurysm (AAA) incidence in both the general population and diverse subpopulations.
Summary Background Data: AAA is a life-threatening arterial disease, and there is limited understanding of its etiological spectrum across the age, sex, and genetic risk subgroups, making early prevention efforts more complicated.
Methods: This study encompassed a sample size of 364399 participants from the UK.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!