View clinical trials related to Metabolic Syndrome.
Filter by:The purpose of this study is: - To identify the common factor for L5 prevalence in patients with Metabolic Syndrome. - To determine whether Ezetimibe, Simvastatin, and Vytorin can correct the L5- promoting factor and reduce L5 in Metabolic Syndrome patients.
The aim of the present study was to evaluate the effects of aerobic interval training versus strength training or a combination of these regimes on factors comprising the metabolic syndrome in order to find the most effective exercise regime for patients with metabolic syndrome.
The purpose of this study is to discover the health status of occupational drivers. The health status includes data collection of body mass index, blood pressure, central obesity, anxiety scale scores, smoking habit and related cessation therapy, etc.
An increased prevalence of the metabolic syndrome has been found in patients with systemic lupus erythematosus in recent years.
Five factor consisting of Metabolic syndrome is closely linked by insulin resistance. Until now, several studies have been performed about effects of Korea red ginseng on hypertension, diabetes, and hyperlipidemia, but not metabolic syndrome. The investigators hypothesize that Korean red ginseng could improve each constituents of metabolic syndrome, arterial stiffness, and inflammatory markers. The aim of this study is to determine effects of Korean red ginseng on cardiovascular risks in subjects with metabolic syndrome.
The AIMM Young study is a collaboration between Children's National Medical Center (CNMC) and colleges/universities nationwide--currently including Howard University (HU), East Carolina University (ECU), and University of Massachusetts, Amherst (U Mass). This study obtains a variety of baseline measures (such as serum biomarkers related to metabolic syndrome, anthropometrics, muscle strength, and fitness testing) along with genetic information from healthy college-age (18-35 years) young adults in efforts to identify phenotype-genotype associations that may predispose individuals to developing metabolic syndrome, type 2 diabetes, and/or related diseases such as obesity. We hypothesized that certain genetic variations will be protective against metabolic syndrome, while others will show a strong correlation with specific components of metabolic syndrome disease. We expect that the study of "pre-symptomatic," young individuals will facilitate the identification of genetic risk loci for metabolic syndrome and type 2 diabetes. Younger populations typically have less confounding variables, and this facilitates normalizing of metabolic syndrome features and environment/lifestyle. Additionally, young subjects can provide more robust longitudinal data, and be recruited into subsequent interventions to reverse the trend towards metabolic syndrome, rather than the more difficult task of reversing type 2 diabetes in older populations. The data collected will be stratified according to gender, age, ethnicity, genotype, and other phenotypic measures to determine how these factors influence disease risk.
To achieve optimal health and to reduce the risk of age-related chronic diseases through an easily achievable dietary modification not achievable by the limited mixture of antioxidant supplements in older subjects, the investigators will focus their attention on the biological functions of bioactive plant food (Angelica keiskei and/or Glycine max) and its effect on genomic stability using noble assays. The investigators propose to study the ability of bioactive plant-based food (Nutrition bar made from Angelica keiskei and/or Glycine max) to 1) exert biological functions: increase total antioxidant performance, decrease oxidative stress in vivo, and 2) affect genomic stability: decrease DNA damage and modify DNA methylation. The investigators hypothesize that bioactive plant food (green leafy vegetable power, and/or black bean power) will exert biological functions and affect genomic stability far more efficiently than the limited mixture of purified antioxidant supplements in the vulnerable population, older subjects (> 50 years, men and postmenopausal women) with and without metabolic syndrome.
The investigators will randomize abdominally obese men and women at increased health risk to one of the following 4 conditions: 1) No-exercise, wait list controls (C), 2) Low volume, low intensity exercise (LVLI), 3) High volume, low intensity exercise (HVLI), 4) Low volume, high intensity exercise (LVHI). The primary aim of the trial is to determine the effects of varying exercise dose (energy expenditure, kcal) or intensity (relative to VO2max (cardiorespiratory fitness)) on waist circumference and glucose tolerance. The investigators will test the following hypotheses: 1) That the reduction in waist circumference and improvement in glucose tolerance in response to all treatments will be greater than controls. 2) That reduction in waist circumference and improvement in glucose tolerance in HVLI and LVHI will be greater than LVLI. 3) That hypotheses 1 and 2 are true independent of gender.
A diet with the multiple beneficial characteristics of whole grains and, more in general, of "healthy cereals" favorably influences glucose and insulin metabolism in subjects with metabolic syndrome. Therefore, the aim of the study is to evaluate the long term effects of a diet containing "healthy cereals" versus a control diet, on glucose and insulin metabolism in subjects with metabolic syndrome.
Obese patients with metabolic syndrome without diabetes or ischemic heart disease were randomized to three lifestyle interventions: 1. hypocaloric tailored diet with standard recommendations 2. pragmatic healthy style diet adapted to brazilian habits with portion control and pedometers to perform 10000 steps daily recorded or 3. pragmatic healthy style diet adapted to brazilian habits with portion control plus fitness three times a week under direct supervision. The main outcome was brachial reactivity, a surrogate marker of atherosclerosis, and secondary outcomes were cardiometabolic profile, arterial pressure and anthropometric measures: weight,waist circumference and bioimpedanciometry to access fat proportion and insulin sensitivity.