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Metabolic Syndrome clinical trials

View clinical trials related to Metabolic Syndrome.

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NCT ID: NCT05247918 Active, not recruiting - Obesity Clinical Trials

OBDIPHY (OBesity DIgital-PHYsical Care Study)

OBDIPHY
Start date: March 9, 2022
Phase: N/A
Study type: Interventional

This is a prospective randomized controlled multicentre non-inferiority trial. The aim of this study to evaluate digi-physical care compared to regular physical/in person care and investigate if digi-physical care can be an equal or even better treatment alternative among families with children or adolescents living with obesity in Sweden. The study participants will either get treatment as usual or treatment as usual combined with digi-physical solution. The digi-physical solution includes thar half of the session is digital and they get an app where they can self-monitoring health data, have an overview over they treatment plan and easy communicate with theirs caregivers.

NCT ID: NCT05225454 Active, not recruiting - Metabolic Syndrome Clinical Trials

The Life Style Patterns and the Development Trend of Chronic Diseases in Healthy and Sub-healthy Groups Were Analyzed by Using Data-mining Techniques

Start date: March 3, 2021
Phase:
Study type: Observational [Patient Registry]

Used multi-year health examination member profile by multi-algorithms technology, to find comprehensive key hazard factors or important high-risk group components for metabolic syndrome and chronic kidney disease or more common chronic diseases.

NCT ID: NCT05192590 Active, not recruiting - Clinical trials for Cardiometabolic Syndrome

Establishing Clinical Utility Evidence for Chronic Disease Management Testing

Start date: October 22, 2021
Phase: N/A
Study type: Interventional

This is a national-level research study of primary care physicians. The purpose of this study is to assess the clinical evaluation and management (drug, procedures, counseling and other) of a subset of common patient care indications.

NCT ID: NCT05191160 Active, not recruiting - Obesity Clinical Trials

The Soy Treatment Evaluation for Metabolic Health (STEM) Trial

Start date: November 2, 2021
Phase: N/A
Study type: Interventional

Strategies to reduce sugar-sweetened beverages (SSB) have become one of the leading public health targets to address the epidemics of obesity and diabetes. National food, nutrition, and health policies and programs have positioned low-fat milk as the preferred caloric replacement strategy for SSBs. This strategy derives from evidence that replacement of SSBs with low-fat milk is associated with reductions in weight and incident diabetes in prospective cohort studies and reduces liver fat (an important early metabolic lesion linking obesity to diabetes), as well as triglycerides and blood pressure in randomized trials. Whether these benefits hold for soy milk alternatives is unclear. There is an urgent need for studies to clarify the benefits of soy milk as an alternative to cow's milk. Our overarching aim is to produce high-quality clinical evidence that informs the use of soy as a "public health intervention" for addressing the dual epidemics of obesity and diabetes and overall metabolic health. To achieve this aim, we propose to conduct the Soy Treatment Evaluation for Metabolic health (STEM) trial, a large, pragmatic, randomized controlled trial to assess the effect of using 2% soy milk (soy protein vehicle) versus 2% cow's milk (casein and whey vehicle matched for protein and volume) as a "public health intervention" to replace SSBs on liver fat and key cardiometabolic mediators/indicators in an at risk population.

NCT ID: NCT05138198 Active, not recruiting - Metabolic Syndrome Clinical Trials

Lifestyle Intervention to Reduce Body Weight and Systemic Inflammation Among World Trade Center Responders

Start date: December 1, 2020
Phase: N/A
Study type: Interventional

The goal of this randomized control trial (RCT) is to test the feasibility and acceptability of a lifestyle intervention with a focus on implementing a high dose Mediterranean Diet protocol with physical activity to reduce systemic inflammation and body weight among WTC first responders having overweight/obesity and PTSD. The findings of this study will demonstrate the suitability of the proposed approach to reduce comorbidities among similar populations exposed to traumatic events; the findings will also inform the World Trade Center Health Program's extensive research and clinical efforts with the potential to provide a preventive care model to reduce systemic inflammation and related chronic disease among WTC responders with PTSD.

NCT ID: NCT05073835 Active, not recruiting - Obesity Clinical Trials

Semaglutide 2.4 mg in Patients With Poor Weight-loss

BARI-STEP
Start date: November 1, 2022
Phase: Phase 3
Study type: Interventional

A double-blinded, randomised, placebo-controlled trial of semaglutide 3.0 mg/ml in patients with poor weight-loss following bariatric surgery. The primary aim of this trial is to determine whether, and the extent to which, 68 weeks of subcutaneous semaglutide 3.0 mg/ml causes greater percentage weight loss (%WL), reduction in adiposity, improvement in metabolic and inflammatory indices and health-related quality of life (HRQoL) than placebo, in patients with poor weight loss following gastric bypass or sleeve gastrectomy.

NCT ID: NCT05025462 Active, not recruiting - Metabolic Syndrome Clinical Trials

Salmon Peptide Fraction: Safety and Cardiometabolic Health

SPF1
Start date: November 1, 2021
Phase: N/A
Study type: Interventional

The overall goal of this study is to verify the safety of 15g of salmon peptide fraction (SPF), and to test the effects on metabolic syndrome risk factors of two doses of SPF (7.5g and 15g) in overweight-obese men and women. Transcriptomic, metabolomic and metagenomic approaches will be used to study the physiological effects of SPF and to discover the potential mechanism underlying these effects.

NCT ID: NCT04978103 Active, not recruiting - Clinical trials for Metabolic Syndrome in Postmenopausal Females

Effects of Gum Arabic on Metabolic Syndrome Parameters in Postmenopausal Women

Start date: December 4, 2019
Phase: Phase 2
Study type: Interventional

Gum Arabic ingestion has been proved to decrease some of the inflammatory markers in some metabolic diseases that have an inflammatory background. Nevertheless, the mechanism/s by which it does so is uncertain. This study is targeting one of the postulated molecular mechanisms at genetic level that may help to understand how Gum Arabic exerts its effect .The effects of GA on Nuclear Factor Kappa Beta, P38 Mitogen Activated Protein (MAP) Kinase levels, and on the expression of inflammatory cytokines genes are going to be assessed in postmenopausal females with Metabolic Syndrome.

NCT ID: NCT04947176 Active, not recruiting - Metabolic Syndrome Clinical Trials

C15:0 Supplementation in Young Adults at Risk for Metabolic Syndrome

Start date: July 6, 2021
Phase: N/A
Study type: Interventional

This study will determine changes in plasma C15:0 levels in young adults with BMI ≥ 25 in response to 12 weeks of daily oral C15:0 supplementation.

NCT ID: NCT04910321 Active, not recruiting - Clinical trials for Cardiovascular Diseases

Hangzhou Hospital Staff Cohort

HHSC
Start date: December 30, 2020
Phase:
Study type: Observational [Patient Registry]

The Hangzhou Hospital Staff Cohort (HHSC) is a prospective cohort study among staffs from three hospitals located in Hangzhou, China, including the Hangzhou First People's Hospital, Hangzhou Women's Hospital, and Hangzhou Red Cross Hospital. Participants recruitment and baseline survey including anthropometric, lifestyle and clinical measurement, as well as biological samples collection are initiated in January 2021. Recruited hospital staff are followed up every year during the medical examination organized by their employer. The primary aim of the HHSC study is to investigate the prospective associations of diet, physical activities, sleep, and other lifestyle factors with the long-term metabolic health of the hospital staffs. The secondary aim of the HHSC study is to integrate multi-omics data including genomics, metabolomics, proteomics and microbiome by a machine learning algorithm, to probe into the complex mediating roles of gene, metabolism and gut microbiota linking lifestyle factors with metabolic health.