View clinical trials related to Metabolic Syndrome.
Filter by:The National Cholesterol Education Program Adult Treatment Panel-III (NCEP ATP III) definition of metabolic syndrome (MetS)is one of the most widely used criteria of metabolic syndrome. It incorporates the key features of hyperglycemia/insulin resistance, visceral obesity, dyslipidemia and hypertension. According to the NCEP ATP III guidelines, in our study, the participants having the metabolic syndrome if they possess three or more of the following criteria: abdominal obesity: Increased waist circumference, Elevated serum triglycerides, Reduced high density lipoprotein cholesterol (HDL), Elevated blood pressure both systolic blood pressure (SBP) and diastolic and Elevated fasting blood glucose. Although the pathogenesis of MetS is strongly linked to excessive food consumption, in particular fat intake, still there is no consensus about the effects of low carbohydrate diet (LCD) versus low fat diet (LFD) on reversing the MetS and on its metabolic risk factors. However, concerns have been raised with regard to the macronutrient shift with high carbohydrate restriction and the substantial intakes of fats, which may present unfavorable effects on cardiovascular disease risk factors. Meanwhile the LFD has generally been supported by studies to have beneficial effects on these risk factors. There is no consensus about the effects of LCD versus LFD on the metabolic syndrome. This study investigated the effects of LCD versus LFD on the obese peoples and followed up them for 6 months. Out of 289 obese adults apparently healthy were randomly chosen by a stratified multistage probability sampling method, 94 of them are agreed to participate in the study. They were assigned randomly into low carbohydrate and low-fat diet groups. Both groups were followed up for 6 months and the data were taken at baseline, after 3 months and 6 months of intervention. Ninety-four obese participants completed the intervention.
SiMSscore was used as a simple and accurate method for Quantifying Metabolic Syndrome in adults , Developed siMS score was calculated using formula: siMS score = 2*Waist/Height + Gly/5.6 + Tg/1.7 + TAsystolic/130-HDL/1.02 or 1.28 (for male or female subjects, respectively),However studies on siMSscor in pediatric was done . PsiMSscore(pediatric sims score) calculated using formula: (2xWaist/Height) + (Glucose(mmol/l)/5.6) + (triglycerides(mmol/l)/1.7) + (Systolic BP/130)-(HDL(mmol/l)/1.02(Soldatovic etal;2016).
This study is a prospective observational program within the frames of which Tricor (fenofibrate) is prescribed to patients with hypertriglyceridemia within a routine procedure as a part of the combination therapy with statins.
This is a proof-of-concept study of a virtual version of a lifestyle intervention aimed at reducing cardiometabolic risk in patients with the Metabolic Syndrome (MetS). The aim is to recruit 12 patients at high risk for coronavirus infection based upon a diagnosis of obesity and the MetS, conduct a 12-week virtual version of the in-person intervention, and explore efficacy using clinically significant pre-specified targets for weight, diet, physical activity, stress, and markers of inflammation. In addition, the investigators will explore safety, fidelity, feasibility, and acceptability.
The growing prevalence of metabolic syndrome (MetS) in the worldwide is becoming a serious health problem and economic burden. MetS has become a crucial risk factor for the development of type 2 diabetes mellitus (T2DM) and cardiovascular diseases (CVD). The rising rates of CVD and diabetes, which are the two leading causes of death. To prevent the progression of MetS to diabetes and CVD, regular physical activity is required. Elliptical trainer device is a relatively new modality of exercise and is advertised to be superior to a treadmill because of the low joint impact and the more reasonable costs of an elliptical trainer compared to a treadmill. Additional quantitative research is needed to further evaluate the effectiveness of elliptical trainers and the physiological and perceptual responses to the machine.
The Bialystok Bariatric Surgery Study (BBSS) is a prospective observational cohort study of patients undergoing bariatric surgery at the First Clinical Department of General and Endocrine Surgery at the Medical University of Bialystok. The BBSS consists of a battery of baseline tests established one month prior to the surgery and repeated at one, three, six, twelve and twenty four-month follow-up clinical visits.
The main purpose of this study is to understand the impact of lifestyle coaching on the risk of future cardiometabolic disease, workability and self-assessed wellbeing. The data gathered during the study helps in the future to better identify different focus groups for more tailored interventions. The study consists of two main stages: screening and coaching phase. Screening Aava and the pension will recruit 2000 participants for screening from the employer companies. Screening participants are invited to answer a wellbeing questionnaire (Aava Virta questionnaire, Work Ability Index questionnaire) and give blood samples and physiological measurements, including weight, height, waist circumference, neck circumference and blood pressure. All subjects participating in screening will receive the results from wellbeing questionnaire immediately and they receive the results from blood test within few weeks. Of these 2000 screened persons, a total of 300 high-risk (according to ApoB/ApoA1) individuals and 600 medium-risk individuals will be selected to participate in the coaching phase. These participants are randomly split into treatment and control groups, so that eventually 150 high-risk and 300 medium-risk individuals are placed in both groups. Therefore, a total of 900 subjects carry forward to the coaching phase and in 1100 subjects the study ends. All 900 subjects entering coaching phase receive home a Firstbeat Bodyguard 2 device with instructions for performing Firstbeat wellbeing analysis. After the measurement the device is posted back for analysis according to instructions. The results and feedback from this test is received in the end of the study after the coaching phase. Stage 2: Coaching phase Within the coaching groups, participants in the high-risk category and treatment group undergo an individual coaching program. Participants in the medium-risk category undergo a group coaching program with similar aims. Both coaching programs last 10 weeks during which there are 8 almost weekly coaching sessions at the subjects worksite or near vicinity. Both coaching programs aim in reducing cardiometabolic risk factors and improving subjective well-being. The topics of the lifestyle coaching are 1) nutrition, 2) physical activity, 3) sleep and stress and 4) the long-term maintenance of lifestyle changes. The aims and methods in each coaching topic is based on Finnish recommendations on the topic. The coaching sessions include mostly discussions but in the sessions focusing more on physical activity there are also sessions including activity. In the halfway (5 weeks) of coaching phase, a second blood sampling and Aava wellbeing questionnaire are taken from all subjects (both coaching and control groups). In the end of the coaching phase (10 weeks) blood samples, Aava wellbeing questionnaire, Work Ability Index -questionnaire and physiological measurements are taken the last time. At this stage a second Firstbeat analysis is also performed. BBI-15 questionnaire is administered before and after the coaching phase. An open ended questionnaire regarding lifestyle change motivators and experiences before, during and after the coaching phase is administered to all participants. Also, a small subset (20 persons) of subjects takes in interviews to delve more detailed to the experiences during the study. End of coaching phase and study - start of feedback and analysis After the coaching phase has ended and the subjects (coaching and their control groups) have received all the results (wellbeing questionnaire, blood tests and Firstbeat results) for the study and feedback sessions will be held for all. Willing subjects also receive the results from the gene test in form of PRS scores ie. total genetic risk for three areas of health: heart disease, type 2 diabetes and obesity. THL gene results do not identify single gene variants. After this feedback session the study has ended for the subject. After all data in the study has been gathered starts the analysing and reporting phase for the researchers. At this stage the researchers can retrieve data from Aava patient records to analyse the effect of earlier diagnoses and findings. The information retrieved relate to ICD-10 diagnosis codes C00-C97 (malignant neoplasms), E00-E89 (endocrine, nutritional and metabolic diseases), F00-F99 (mental, behavioral and neurodevelopmental disorders), I00-I99 (diseases of the circulatory system) and M00-M99 (diseases of the musculoskeletal system and connective tissue) as these diagnostic codes can be important background factors for biomarkers of CVD and Type 2 diabetes risk and to some of the secondary endpoints like workability.
Oats are a commonly consumed source of viscous soluble fibre, which has an established role in cardiovascular disease risk management including in cholesterol and glycemic control. Oat beta-glucan is recognized for its cholesterol-lowering effects with approved health claims in Canada, US and Europe. However, the efficacy of oat beta-glucan on glycemic control is not clear. We propose to conduct a systematic review and meta-analysis to explore the efficacy of whole grain oats and oat beta-glucan on markers of glycemic control in people with, without or at risk for diabetes.
The purpose of this study is to evaluate the efficacy and safety of metformin glycinate at dose of 620 mg twice per day plus standard treatment comparing to standard treatment alone (we will use placebo) of patients who have metabolic syndrome or type 2 diabetes, which have severe acute respiratory syndrome secondary to SARS-CoV-2.
The NAFLD is the first cause of liver disease worldwide. The severe form of NAFLD, the NASH progresses to cirrhosis and is responsible of liver mortality. The diagnosis of NASH requires liver biopsy that cannot be used for the screening of the disease. The broad prevalence of the disease limits also the generalization of liver biopsy even for diagnosis. There is an urgent need for the use and the validation of liver diagnosis biomarkers for the diagnosis of NASH.