View clinical trials related to Obesity.
Filter by:In the current work, we aim to perform a prospective study that will investigate the relationship between maternal obesity (BMI >30 kg/m2) and morbid obesity (BMI >35 kg/m2) with a late GDM diagnosis (>32 weeks), with an emphasis on obstetric and neonatal outcomes.
The purpose of this study is to evaluate Non-Alcoholic Fatty Liver Disease (NAFLD) and Non-Alcoholic Steatohepatitis (NASH) changes in terms of steatosis and elasticity in patients with morbid obesity 1, 3 and 5 years after bariatric surgery. In addition, genomics, microbiome and metabolomics analyses will be carried out.
Adult obesity is due to an excess of body fat. This corresponds to all the fat in the body (or adipose tissue). It is opposed to the lean mass which corresponds to the weight of muscles, organs and viscera. It is defined from the body mass index (or BMI). BMI is calculated by dividing a person's weight by their height squared. According to these criteria, the prevalence of obesity has reached 17% of the entire adult population in mainland France (ESTENBAN 2015 study). The prevalence figures for obesity in the French overseas departments are higher than in mainland France. The latest epidemiological data available in Martinique and Guadeloupe (KANNARI 2015 study) show that approximately 60% of the adult population is overweight and 25% of the adult population is obese. Obesity is considered a chronic disease that increases the risk of cardiovascular and metabolic complications all the more when patients have a BMI ≥ 35 kg/m2, defining severe obesity. When BMI is equal to or exceeds 40 kg/m2, obesity is said to be "morbid" and the risk of cardiovascular complications increases by about 100% to 400% depending on the type of complications. The risk of mortality increases by 50 to 100% compared to the normal weight population. Obesity and inflammation Adipose tissue accumulates around the abdominal viscera after the fat storage capacity of the subcutaneous territories has been reached. The accumulation of visceral fat is accompanied by a low-grade inflammatory response that is responsible for the secretion of lipid derivatives and mediators toxic to the cardiovascular system and insulin sensitivity. The inflammatory response is characterized by the expression of numerous pro-inflammatory molecules synthesized by adipocytes and immunocompetent single-macrophage cells infiltrating the vascular stroma of adipose tissue. In addition, hyperglycemia and excess lipid intermediates cause the assembly of inflammasomes in the cytosol. Among them, the NLRP3 inflammasome involved in multiple human inflammatory pathologies. Inflammation opposes weight loss, hence the need to reduce the inflammatory response to facilitate weight loss in obese people. Pigeon pea, known for its anti-inflammatory properties, is a legume found in Creole gardens and traditionally eaten at Christmas. The OBESICA study aims at studying the interest of consuming pigeon pea associated with regular physical activity on the inflammatory state of the body and weight loss in obese patients.
Hypertension, diabetes, and obesity are considered major risk factors for cardiovascular diseases and premature mortality worldwide. Furthermore, they have severe consequences on quality of life among patients. With increasing challenges facing the healthcare systems, pharmacists are well positioned to take on a greater role in the management of chronic diseases. The present study aims to investigate the impact of pharmacist counselling on the clinical outcomes (weight, mortality, blood pressure, blood glucose) of hypertensive, diabetic, and obese patients.
The aim of this study was to compare maternal, clinical and ultrasound estimations of fetal weight in women with severe (BMI>35) and morbid (BMI>40) obesity and to determine the effect of maternal body mass index (BMI) on these estimations.
This research programme seeks to combine the resources of NHS primary care, with the leading spectroscopic work in low-magnetic fields of the Wilson Group (Nottingham Trent University) to demonstrate the potential for benchtop Nuclear Magnetic Resonance (NMR) spectroscopy in human clinical pathology. This is an instrument assessment study for point of care viability which will also result in enhanced patient care (pending their consent) in blood screenings and metabolic health data.
This study is a prospective, multicenter clinical trial. The study is planned to be conducted at a qualified clinical trial center, and 30 subjects are planned to be enrolled to evaluate the feasibility and safety of magnetically controlled capsule endoscopy (MCE) system in the examination of gastric disorders in patients with moderate to severe obesity (BMI ≥ 35 kg/m2).
The BioRhythm study will test a novel behavioral health intervention that utilizes personalized behavioral health counseling as well as sleep and activity data obtained via wearable technology to promote weight loss in obese individuals. 1. Determine whether the use of the The Circadian Rhythm Approach to Weight Loss (CRAWL) intervention results in improvements in weight loss and a reduction in mean daily eating opportunity window. a. Hypothesis: Compared to a wait list control, the CRAWL intervention will induce greater changes in weight loss and body mass index and mean daily eating opportunity window. 2. Establish whether use of the CRAWL intervention results in changes in objectively estimated circadian rhythm, activity levels, sleep duration, sleep architecture, and sleep timing. 1. Hypothesis: Compared to a wait list control, the CRAWL intervention will induce improvements in all metrics described above.
The assessment of body composition is one of the main components within the evaluation of nutritional status under the ABCDE model. Generally, the use of equations to estimate components is a frequent strategy since it represents a doubly indirect method that has good correlation with methods of higher sensitivity (i.e., NMR, DXA, etc.). In this sense, the waist girth or circumference (WC) represents a quick, simple and inexpensive tool to evaluate the excess of fat mass in the human being; however, this measurement does not provide information on body composition in isolation and has been used as an important independent variable in some recent equations (e.g., relative fat mass [RFM]). Considering the lack of formulas or external validation of RFM in the Colombian population, the aim of this STROBE-Nut-based cross-sectional study is to develop and validate simple equations that use WC as an independent variable to estimate fat mass and fat-free mass in a population with different physical activity levels.
Healthy Life Centers (Norwegian, 'Frisklivssentralen') is a municipal service in Norway that aims to promote both physical and mental health, as well as to limit the development of non-communicable diseases. Previous research has shown that receiving follow-up from Healthy Life Centers has led to higher levels of daily physical activity, in addition to improved self-reported health and quality of life among the participants. However, there is a lack of studies that have examined what kind of physiological health effects can be expected from participating in the Healthy Life Center's follow-up. In this study, responses to the 12-week physical activity program of the Healthy Life Center will be compared with the responses in a negative control group that does not receive such follow-up. Both the intervention group and the reference group (the negative control group) will carry out the same tests and measurements before and after the 12 week period. The tests will include measurements of anthropometric variables (body height, body weight and waist circumference), body composition, arterial stiffness, resting blood pressure and blood variables (blood glucose, long-term blood glucose, blood lipid profile and inflammation markers), in addition to physical tests of mobility, balance, maximum aerobic capacity (maximal oxygen consumption) and maximum muscle strength. Questionnaires related to adherence to the Healthy Life Center follow-up, socio-demographic variables, eating and drinking habits, activity level, perceived physical fitness, motivation for exercise, and health-related quality of life will also be included.