View clinical trials related to Energy Expenditure.
Filter by:In this study we propose 1) to develop a new multisensor monitoring system associating a tri-axial accelerometer and a magnetometer to measure physical activity in free-living adults, 2) to perform its calibration and assess its validity in a series of activity tasks in comparison with the measure of energy expenditure by indirect calorimetry as the criterion measure, and with existing physical activity monitors (cardiofrequencemetry and accelerometers used either alone or in combination). Briefly the subjects will perform a series of standardized activity tasks of different intensities and a 30-min free physical activity period while wearing 6 MOTIONPOD(TM) and different commercial activity monitors. Physical activity energy expenditure will be measured using a metabolic gas analyser. Data of the 30 first subjects will be used to develop new algorithms to identify the different activity tasks and to estimate the related energy expenditures. Data of the following 30 subjects will be used to validate the MotionPOD(TM) against indirect calorimetry and existing physical activity monitors
At this time, 24h energy expenditure is rarely assessed under free-living conditions for specific individuals because of the lack of cheap and accurate software/materials to record the energy expenditure. Some affordable and convenient tools (Polar heart rate monitor, Actiheart, SenseWear Armband) are available on the market but the predictive equations comprised into the software provided with these tools generally miscalculate the energy expenditure (by about +/-10%). Because of this deficiency, the investigators have a poor knowledge of the modification of the energy expended during daily life activities and over 24h in subjects belonging to groups of various ages and physiological states. The investigators hypothesise that it could be possible to improve the energy expenditure prediction. The project aims at providing a mathematical model (equations) that predicts energy expenditure with an error near to 5%. Two groups of 60 sedentary to athletic normal weight volunteers aged between 18-60 years participate to this study. The first group stay for 26h in calorimetric chambers. During this stay energy expenditure ,heart rate, accelerometry, and other parameters are recorded during various activities. These data will serve to construct the model. The same type of recordings are performed on second group of volunteers in free living conditions. Their energy expenditure is measured overall by doubly labeled water. The data of the second group will serve to validate the model. The error percentage of the model is defined by the ratio of the value of the difference between prediction and reference measure to the reference measure. Concordance between predictions and measures will be evaluated by Bland - Altman plots.
The purpose of this study is to assess the effect of Metabolism-boosting Beverages (MBB) containing green tea extract with a standardized amount of epigallocatechin gallate (EGCG) and caffeine.
The purpose of this study was to measure the actual energy expenditure (EE) using indirect calorimetry for the 10,000 steps goal, and compared to the estimated EE using predictive equation.
The study is considered research because efficacy (how well a drug works) information is needed in healthy, 25-45 year-old, female subjects with moderate caffeine intake. The investigational product is available in the United States without a prescription (over-the-counter) as a nutritional supplement. The purpose of this study is to assess whether One-A-Day Weightsmart Advanced is safe and can increase metabolism and perceived energy in female subjects compared with caffeine or placebo (inactive drug). Participation in this study will last approximately 4 weeks and require about 4 outpatient visits to St. Luk's-Roosevelt Hospital Center. About 21 subjects are expected to participate in this study.