Development and Validation of Equations to Evaluate Body Composition in Colombian Population - F20 Project
Study Details
Study Description
Brief Summary
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.
Condition or Disease | Intervention/Treatment | Phase |
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Detailed Description
This research aims to validate and develop WC-based equations due to the estimation potential to assess body composition in the athletic, physically active and sedentary Colombian population. We will follow the standardized reporting guidelines of the Strengthening the Reporting of Observational Studies in Epidemiology-Nutritional Epidemiology (STROBE-nut). Stratified probability sampling techniques will be used. Participants of >18 years old, residing in Medellín or its metropolitan area, with different physical activity levels, and that give consent to be evaluated by health professionals will be invited to participate. Kinanthropometry and DXA assessment will be carried out in the participants. Subsequently, validation of the RFM will be performed by comparing the estimation results with gold standard methods using correlation and agreement (Bland-Altman) analyses. Finally, several models will be developed to estimate fat mass and fat-free mass in the population subgroups (athletes, physically active individuals and sedentary people). The results of this research will improve professional practice in health, exercise and sports science.
The F20 project is developed by the Research Division of the Dynamical Business & Science Society-DBSS International SAS with the support of Universidad CES, Universidad de Córdoba, Universidad Distrital Francisco José de Caldas, Exercise & Sport Nutrition Laboratory at Texas A&M University, the R&D department of ARTHROS IPS, Smart Fit, and IPS Diagnosticarte.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Sedentary It will be obtained by open call for both students and administrative staff at the CES University. |
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Physically active Under the collaboration framework bet ween DBSS international SAS and Smart Fit Colombia, a sample of personal trainers who reside and work in Medellín, or its metropolitan area will be invited to participate. |
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Athletes Under the collaboration framework between DBSS international SAS and ARTHROS Physiotherapy and Exercise Center, a sample of professional athletes from different sports disciplines will be invited to participate. |
Outcome Measures
Primary Outcome Measures
- Two-component model of body composition (fat mass and free mass) [One year (January 2023 to December 2023)]
Through DXA measurement and the estimation using anthropometry-based equations.
Secondary Outcome Measures
- Anthropometry-based morphological [One year (January 2023 to December 2023)]
Analysis to compare Colombian population with different physical activity levels.
Eligibility Criteria
Criteria
Inclusion Criteria:
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+18 years old (under 60 years)
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Sedentary, Physically active and Athletes of competitive level.
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Residing in the city of Medellín or nearby municipalities of the metropolitan area.
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Signed informed consent.
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Assist to kinanthropometric and DXA measurements.
Exclusion Criteria:
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People with a disease and/or special condition that limits exposure to radiation emitted by DXA.
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Adults over 60 years of age
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Pregnant women
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Athletes with injuries
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People with implants or prostheses.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Ces Nutral | Medellín | Antioquia | Colombia | 050001 |
Sponsors and Collaborators
- Dynamical Business and Science Society - DBSS International SAS
- CES University
- Universidad de Córdoba
Investigators
- Principal Investigator: Diego A Bonilla, PhD, Research Division, DBSS International SAS.
- Study Chair: Jorge L Petro, PhD, Research Division, DBSS International SAS.
- Study Director: Laura P Muñoz, MSc, Grupo de Investigación Nutral, Facultad Ciencias de la Nutrición y los Alimentos, Universidad CES.
- Study Director: Leidy T Duque, MSc, Grupo de Investigación Nutral, Facultad Ciencias de la Nutrición y los Alimentos, Universidad CES.
Study Documents (Full-Text)
None provided.More Information
Additional Information:
- Defining cutoffs to diagnose obesity using the relative fat mass (RFM): Association with mortality in NHANES 1999-2014
- Body shape indices are predictors for estimating fat-free mass in male athletes
Publications
None provided.- Acta0031Proy115TG
- DBSS_F20_CES