View clinical trials related to Energy Balance.
Filter by:The goal of this study is to quantify energy metabolism using indirect calorimetry at rest, in the presence of excess energy following a meal, and in response to the demand for energy during exercise. The investigators also will examine the individual and joint associations of activity and obesity status on neurocognitive domains of appetite control. Participants will include adolescent males and females (N=80) using a 2 x 2 cross-sectional study design, stratified by body weight (normal vs overweight/obese) and physical activity level (sedentary vs. active).
The purpose of this project is to determine if protein is less likely to create positive energy balance when added to the diet compared to carbohydrate. To do this, the investigators will take detailed measurements of participant's baseline metabolic rate to understand their energy requirements. Then, the investigators will feed participants all their meals for two weeks, Monday-Friday, and measure their food intake. During one of the week-long feeding periods, participants will consume a shake made of egg protein that is ~20% of their energy requirements. During the other week, participants will consume a shake made of carbohydrate that is ~20% of their energy requirements. Participants will drink the assigned shake at the beginning of each of their daily three meals, and then they will be offered a 'regular' meal of unlimited quantity. Participants will not know that the investigators are measuring the food consumed after drinking the shake. Participants will drink the protein shake for the first week and carb-based shake for the second week, and vice versa-- depending on the randomization order. To account for energy expenditure, participants will wear an activity monitor, an accelerometer. Energy balance, measured as participant energy intake minus energy expenditure, will be our main outcome for each treatment. However, because participants may change their behavior if made aware of the true research question, the investigators will tell participants that the purpose of the study is to see how low fiber and high fiber shakes affect mood. The hypothesis is that during the week when participants consume the protein shake, they will remain in energy balance, but during the week of carbohydrate shake consumption, participants will have positive energy balance.
The ability to control our blood glucose (sugar) concentrations after a meal is a strong predictor of the risk of disease. Our bodies respond to glucose ingestion by reducing the amount of glucose from the liver entering the bloodstream. At the same time muscle increases the amount of glucose it take up from the bloodstream. This ensures that our blood glucose levels do not get too high. The investigators want to understand what happens to these processes following exercise after breakfast and after an overnight fast. In addition, the investigators also want to understand whether exercising with or without breakfast influences our appetite, food intake and activity levels later in the day.
The prevalence of obesity is steadily growing in many parts of the world in order to reach epidemic proportions. Changes in signaling pathways state of hunger and satiety contribute to the increase in obesity and metabolic syndrome. Currently, the white adipose tissue, also is considered a secretory tissue by producing numerous adipokines involved in a chronic state of inflammation, which may interfere with the neuroendocrine regulation of energy balance that affect the weight loss process. The bariatric surgery is recommended as the most effective tool in the treatment and control of morbid obesity. The study population will consist of patients undergoing bariatric surgery of type Roux-en-Y gastric bypass. The study was performed in Clinical Hospital of the Federal University of Paraná (UFPR). This is a prospective cohort study with follow up of 6 and 24 months. The aim of this study is to assess the effects of weight loss after bariatric surgery associated anthropometric characteristic, metabolic changes (glucose, cholesterol profile,hepatic enzymes, Fibroblast growth factor- 21(FGF-21), blood pressure), the profile of adipokines pro/anti-inflammatory (adiponectin, interleukin-6 (IL-6),interleukin-10 (IL-10), C reactive protein (CRP), plasminogen activator inhibitor-1 (PAI-1), tumor necrosis factor alpha (TNF-α), intercellular adhesion molecule-1 (ICAM-1), resistin, frizzled-related protein 5 (SFrp5) and neuroendocrine regulation of energy balance (leptin, neuropeptide Y (NPY) , alpha-melanocyte stimulating hormone (α-MSH), melanin-concentrating hormone (MCH) and agouti-related peptide (AgRP), as well as the quality of life in obese adults.
The purpose of this study is to assess the effect of eating breakfast in combination with exercise on fat usage, appetite and brain performance later in the day.
A key factor in the determination of body composition over the lifecourse is fat accumulation during childhood. Periods of life associated with the greatest changes in organ development and growth, i.e. early childhood, have the most significant effect on body composition, energy balance, and metabolism. Early childhood (age 3 to 7 years) represents a critical transition for the basis of adaptability in body composition, due to the rapid growth and development that occurs. Plausibly the phenotype underlying obesity and related health risk may be determined by body composition during this critical period. Our previous research in children has consistently indicated that HA children accumulate greater amounts of fat, particularly in the intra-abdominal compartment, even at similar a BMI, and lower bone mineral content relative to EA children. The reason for these differences in body composition over the lifecourse is not clear. Racial/ethnic differences in risk factors for health, including 'thriftiness' in body fat accumulation are often evident before the age of 7, suggesting that the racial/ethnic differences in energy utilization and subsequent fat storage may be accounted for by genetic make-up, the environment (e.g. diet), or an interaction of the two. The physiologic or behavioral process(es) that cause(s) certain children to take a trajectory towards obesity while others accrue less fat is not known. However, the economic decision of fuel utilization is a physiologic trait enabling the body to choose between shuttling 'energy' towards accrual of a particular tissue (e.g. bone vs. fat) and this trait likely has a genetic component. This genetic component may be embedded in fat storage capacity evolved from gene by environment interactions that promote thrift, particularly conserved in some populations. Although genetic background plays a role, it not known whether there is a relationship between genetic background, known candidate genes or candidate pathways and environmental contributors (e.g. diet) that impact body composition trajectory. Of central importance to our understanding of early fat mass accumulation in health disparities are the mechanisms that lead to chronic disease progression. It is likely that variations within candidate genes may have a differential impact on individuals based on their genetic background. It is also probable that body composition is influenced by many genes, often within the same metabolic pathways, with small individual effects. These genes may not be significantly associated individually, but when examined as a unit (in a candidate pathway or gene-gene interaction framework) the association becomes significant. Further, children's early environmental exposures (e.g. diet) may interact with both genetic background and variations in candidate genes along resulting in alterations in body composition that predispose HA to excess fat accumulation throughout the lifecourse. To that end, the following specific aims will be evaluated: Aim 1. To examine the associations between genetic admixture and body composition in children aged 3-7 years after controlling for dietary intake. 1. Hypothesis 1.1: There is a direct association between Amerindian admixture and fat mass and in inverse association between Amerindian admixture and bone mass. 2. Hypothesis 1.2: There is a direct association between energy intake and fat accumulation and the relationship will be particularly evident in individuals with a greater proportion of Amerindian admixture. Aim 2. To examine the associations between genetic admixture and bone marrow fat in children aged 3-7 years after controlling for dietary intake. 1. Hypothesis 2.1: There is a direct association between Amerindian admixture and bone marrow fat. 2. Hypothesis 2.2: There is a direct association between energy intake and fat accumulation in bone marrow and the relationship will be particularly evident in individuals with a greater proportion of Amerindian admixture. Aim 3. To examine the relationship between variation in candidate genes and pathways and Amerindian admixture controlling for dietary intake. a. Hypothesis 3.1: Amerindian admixture will be associated with variations in candidate genes and pathways known to be associated with fat accumulation.