Physical Activity Clinical Trial
— NRG_DBSSOfficial title:
Comparison of Methods to Estimate Resting Energy Expenditure in Population With Different Levels of Physical Activity.
Total daily energy expenditure (TDEE) is known as the energy used by an organism during a day. The TDEE is divided into resting energy expenditure (REE), the thermic effect of food (TFE), and the energy expenditure of physical activity. There are multiple methods of measuring REE (e.g., estimating equations, direct and indirect calorimetry) among which there are significant discrepancies in its calculation in specific populations. Considering the lack of validation in the Colombian population to estimate the REE, the objective of the present research study is to compare the methods for estimating resting energy expenditure in the Colombian population with different levels of physical activity. This cross-sectional-observational study will be carried out through the guidelines for strengthening the reporting of observational studies in nutritional epidemiology (STROBE-Nut). The study population will be 130 adults from the city of Medellín, Bogotá and metropolitan areas with different levels of physical activity according to the results of the International Physical Activity Questionnaire (IPA-Q) where a high (athletes), moderate (physically active people) and low (sedentary) categorization will be made, then the indirect calorimetry tests will be applied. The development of the equation to estimate the REE will be carried out with multiple regression models under traditional and Bayesian approaches with three independent variables. It is expected to obtain a simple and valid equation to estimate the REE and contribute to the good practices of Colombian practitioners in health sciences, exercise, and sports.
Status | Not yet recruiting |
Enrollment | 90 |
Est. completion date | January 2024 |
Est. primary completion date | December 2023 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 60 Years |
Eligibility | Inclusion Criteria: - Over 18 years of age. - Sedentary subjects, physically active individuals, and competitive athletes. - Signed informed consent - Residing in the city of Medellín or Bogotá and nearby municipalities of the metropolitan areas. Exclusion Criteria: - people over 60 years of age - people diagnosed with cardiometabolic or respiratory diseases. - people with some type of musculoskeletal injury. |
Country | Name | City | State |
---|---|---|---|
Colombia | Campus San Alberto Magno, Universidad Santo Tomás | Bogotá | |
Colombia | CESNUTRAL, Universidad CES | Medellín | Antioquia |
Lead Sponsor | Collaborator |
---|---|
Dynamical Business and Science Society - DBSS International SAS | CES University, Universidad Santo Tomas |
Colombia,
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Herrera-Amante CA, Ramos-Garcia CO, Alacid F, Quiroga-Morales LA, Martinez-Rubio AJ, Bonilla DA. Development of alternatives to estimate resting metabolic rate from anthropometric variables in paralympic swimmers. J Sports Sci. 2021 Sep;39(18):2133-2143. doi: 10.1080/02640414.2021.1922175. Epub 2021 Jun 20. — View Citation
Psota T, Chen KY. Measuring energy expenditure in clinical populations: rewards and challenges. Eur J Clin Nutr. 2013 May;67(5):436-42. doi: 10.1038/ejcn.2013.38. Epub 2013 Feb 27. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Development of equations to estimate resting energy expenditure. | It will be carried out with multiple regression models multiple regression models under traditional and Bayesian approaches with three independent variables, to obtain equations that can improve the estimates of resting energy expenditure. | August 2023 to December2023 | |
Primary | Estimation of resting energy expenditure. | The resting energy expenditure in subjects with different levels of physical activity will be obtained by means of indirect calorimetry. | August 2023 to December2023 | |
Secondary | Anthropometry-Based Analysis of Body Composition. | Musculoskeletal mass indicators will be obtained as a variable to estimate energy expenditure at rest and compare them with indirect calorimetry data. | August 2023 to December2023 |
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