Active clinical trials for "Obesity, Abdominal"

Objective: Study the effect of body position on spirometry in obese patients as defined by waist to hip ratio (WHR) of greater than 0.85 in women, and 0.9 in men Background: Spirometry is routinely ordered to work up dyspnea in obesity. The most common abnormality is a restrictive disease pattern. The underlying mechanisms of this pattern are not completely understood. One plausible explanation is diaphragmatic weakness or skeletal muscle weakness. The change in forced vital capacity (FVC) from sitting to supine is a very sensitive and specific test for detecting diaphragmatic weakness. The effect of body position on spirometry in obesity has not been extensively studied, and there are no studies that look at this when obesity is measured by waist to hip ratio. Effect of body position has been studied in normal patients, and it is expected the FVC can decrease as much as 10% when changing from sitting to supine. The investigators do not know what would be considered 'the normal' amount for FVC to decrease by in the obese population, and thus would like to test patients with increased WHR both in sitting and supine position. The investigators also want to do muscle strength test by measuring the maximal inspiratory and expiratory pressures (MIPs and MEPs). Anticipated results: the investigators anticipate that our study population will replicate the restrictive disease pattern usually seen in obesity. The investigators also anticipate for the FVC to decrease when in the supine position compared to sitting. The amount by which it decreases will likely fall between 10 -25%. The investigators anticipate to not find any abnormalities in MIPs and MEPs in obesity.

This is a large and comprehensively phenotyped cohort with fasting glycaemia where the predictive value of body composition and anthropometric measures of total and central fat distribution for postprandial carbohydrate intolerance are studied.

The study included 176 patients with COPD. The first group included 88 normal weight patients with COPD: 71 men and 17 women, mean age 62.40 ± 8.83 years. The second group included 88 patients with COPD and obesity: 64 men and 24 women, mean age 62.94 ± 5.96 years. We assessed the frequency of COPD exacerbations in last 12 months, the severity of symptoms such as dyspnea, sputum production, fatigue. Spirometry, six-minute walk test and analysis of body tissue type composition were performed. BODE index was calculated. Levels of leptin, adiponectin, interleukins-4,6,8,10, interferon-γ, c-reactive protein (CRP), tumor necrosis factor receptor 1 (TNF-R1), tumor necrosis factor receptor 2 (TNF-R2), tumor necrosis factor alpha (TNF-α) were measured in blood serum.

Literature shows that patients with obesity and Obstructive Sleep Apnea (OSA), both occurring independently, are more likely to develop cardiovascular diseases and sudden cardiac death (SCD). Assuming that ventricular depolarization is more stable than repolarization then QT interval parameters may be used for heart muscle repolarization assessment for those groups of patients. There were 121 patients included in the study, both - women and men, aging from 35-65 with visceral obesity. Only healthy patients were included - the ones who were not treated for any chronic disease, taking QT elongating drugs, or were not treated with Continuous Positive Airway Pressure (CPAP) therapy at that time.

The visceral adiposity index (VAI) has been developed, an indicator for the metabolic function of VAT. Previous studies have confirmed the association between the VAI and CKD prevalence. In this study, we attempted to investigate the association between estimated glomerular filtration rate (eGFR) decline and visceral adiposity.

People who originate from the Indian subcontinent known as South Asians are the fastest growing group of non-white Canadians. They suffer an excess prevalence of abdominal obesity, type 2 diabetes and heart disease. They also develop these risk factors at significantly lower body weight and at younger ages compared to people of European origin. The purpose of SAHARA (South Asian HeArt Risk Assessment) Pilot, is to recruit 400 South Asians from Ontario, who use the internet, email and other multimedia devices. Among these participants the investigators will compare the effectiveness of a 6-month interactive multi-media health behaviour intervention to usual care in reducing cardiac risk factors. This intervention enables participants to set their health goals and provides health messaging and feedback designed to improve their smoking, dietary habits and physical activity. In addition, the investigators will test if knowledge of genetic risk for heart attack influences behaviour change and their heart health risk factor profile. The information generated from SAHARA will enable individuals, physicians, health professionals, and policy makers to develop risk factor modification programs to prevent cardiovascular disease in this high-risk group.

Brachial artery flow-mediated in obese and normal-weight pregnant women dilation of uterine artery doppler and umbilical artery doppler results comparison of

Studies have suggested that Obese patients with metabolic syndrome(MetS)were correlated with knee joint degeneration and osteoarthritis. However, no studies demonstrate the relationship between obese patients with metabolic syndrome and degenerate meniscus lesions and its knee function.The aim is to detect the correlation between obese patients with metabolic syndrome and degenerate meniscus injuries.

The study is aimed to assess the efficacy of animal, plant sources of omega-3 polyunsaturated fatty acids and omega-3 pharmacological supplements on obesity, metabolic syndrome and cardiovascular disease.

Obesity can be defined as' a disease that occurs as a result of the energy (calorie) taken with food being more than the energy consumed and the excess energy being stored as fat in the body, negatively affecting the quality and duration of life. BMI is calculated by dividing the weight (kg) by the square of the height (m2) (1,2). According to the World Health Organization (WHO) classification, BMI between 25-29.9 kg / m2 is overweight, 30-34.9 kg / m2 is light, 35-39.9 kg / m2 is medium, 40 kg / m2 and above is considered as severe obesity. Obesity has important effects on respiratory function. These mechanical and biochemical effects are not easily measured by pulmonary function test and BMI measurement.Changes caused by mediators produced by adipose tissue likely cause changes in lung function, but this effect is not fully understood at the moment. The aim of our study is to make these effects more understandable and to compare them with different obesity classes and people with normal weight who are considered healthy. Hypothesis 0: The effects of obesity on respiratory functions and multidimensional health-related parameters do not show a statistically significant difference compared to individuals with different levels of the disease and normal weight individuals classified as healthy. Hypothesis 1: The effects of obesity on respiratory functions and multidimensional health-related parameters show a statistically significant difference compared to people with different levels of the disease and normal weight individuals classified as healthy. The study will be carried out by face-to-face evaluations in a clinical setting with obese patients between the ages of 18-65 who have applied to the clinic with a diagnosis of obesity and agree to participate in the study, and healthy volunteers who are considered to be healthy without a diagnosis of obesity. Looking at the evaluations to be made; Measurement of respiratory function parameters, measurement of respiratory muscle strength, anthropometric measurements, evaluation of body composition, quality of life, upper extremity muscle strength and grip strength, lower extremity muscle strength, fatigue evaluation, vital signs, evaluation of exercise perception, presence of dyspnea and its level will be evaluated. A detailed description of these evaluations and the parameters to be used will be explained in detail in the next step.