Body CompositionNCT07003516
Validation of Artificial Intelligence-based Digital Anthropometry Applications for Estimating Body Composition.
An observational study of Body Composition, run by Dynamical Business and Science Society - DBSS International SAS at 3 sites in Colombia.
Trial summary
Anthropometric measurements are commonly employed to evaluate body composition, morphology, and health-related parameters across diverse populations. While a cost-effective and field-friendly method, the COVID-19 pandemic has spurred research on digital anthropometry worldwide. Read more about this study
- Who is it for?
- Ages 18 to 60 years
- Conditions the study is for
- Body Composition
- How many people
- 130 participants
- Where
- 3 sitesColombia
- Study dates
- 11 Jan 2025to Dec 2025
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 60 years
- All sexes
- No healthy volunteers
- Adult
Study population: The population sample is obtained through internal calls to both students and administrative staff of the participating universities, as well as through an open call, taking advantage of the collaboration agreement between DBSS International and Smart Fit.
Who may be able to join
- People over 18 years of age (under 60 years of age)
- Persons born and living in the cities of the participating universities
- Signed informed consent to undergo evaluation of anthropometric measurements.
Who cannot join
- Body mass ≥ 160 kg
- Amputations
- Pregnant women.
- People with implants or prostheses.
Trial locations and contacts
3 sites in 1 country. Contact the study team or a site near you to ask about taking part.
Colombia3 sites, 3 recruiting
- Recruiting
Fundación Universitaria del Área Andina
Bogotá, Bogota D.C., 111221
Luis A. Cardozo, MSc, +573133270327, lcardozo11@areandina.edu.co
- Recruiting
Universidad CES
Medellín, Antioquia, 050021
Katherine Franco-Hoyos, MSc, +573002719536, kfranco@ces.edu.co
- Recruiting
Fundación Universitaria del Área Andina
Pereira, Risaralda Department, 110231
Juan C Granados, MSc, +573174609496, jcgranados@dbss.pro
About this study
Official title: Validation and Development of Digital Anthropometry Methodologies.
Anthropometric measurements are commonly employed to evaluate body composition, morphology, and health-related parameters across diverse populations. While a cost-effective and field-friendly method, the COVID-19 pandemic has spurred research on digital anthropometry worldwide. Machine learning, a fusion of artificial intelligence and data mining, holds promise for enhancing data collection and analysis in Kinanthropometry applications. Rather than replacing traditional methods, digital anthropometry presents a significant opportunity to enhance accuracy, validity, practicality, and the implementation of self-monitoring procedures under professional guidance. The CyberMetron Project by DBSS aims to perform additional research and increase scientific literacy among practitioners for public awareness of digital anthropometry.
Read the detailed description
Anthropometric measurements are commonly used to assess body composition, morphology, and health-related parameters in diverse populations. Although it is an economical and practical method in the field, the COVID-19 pandemic has propelled worldwide research on digital anthropometry. Machine learning, a fusion of artificial intelligence and data mining, promises to enhance the collection and analysis of data in applications that rely on cineanthropometric data.
Instead of replacing traditional methods, digital anthropometry represents a significant opportunity to improve the precision, validity, practicality, and implementation of self-monitoring procedures under professional supervision. The CyberMetron Project by DBSS aims to conduct additional research and increase scientific literacy among professionals to raise awareness about digital anthropometry.
Data will be collected from residents of both genders and with different levels of physical activity. The population sample will be obtained through internal calls to both students and administrative staff at participating universities and through an open call. Anthropometric variables of restricted and complete profiles established by ISAK will be measured, along with digital images taken at different distances from the lens. Regarding the sample size, it will be conducted by convenience (non-probabilistic), primarily considering university students, administrative staff, and other potentially eligible adults who respond to the study announcement and sign the informed consent.
Finally, all statistical analyses will be performed within the statistical computing environment R v4.2.3, with a statistical significance of P<0.05. Pearson's correlation coefficient (r), adjusted determination coefficient (aR²), and Lin's concordance correlation coefficient (ρc) will be used for comparative analysis between main variables taken by conventional anthropometry and digital anthropometry. The coefficient of repeated measures correlation (rrm) will be employed to assess the strength of the linear association between variables, while the intraclass correlation coefficient (ICC), with its corresponding 95% confidence interval (95% CI), and Finn's coefficient (rF) will be used to evaluate reliability between evaluators. Additionally, the Bland-Altman analysis will be applied for the concordance analysis between conventional and digital anthropometry.
- Conditions
- Body Composition
- Keywords
- Kinanthropometry, Artificial intelligence, Data mining, Machine learning, Mobile Applications, 3D Image
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Sedentary | It will be obtained by open call for both students and administrative staff at the CES University. | |
| Physically active | DBSS will open a call for participation to get a sample of personal trainers and physically active population that want to be involved as sample participants. | |
| 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. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Anthropometric measurements
Anthropometric measurements of restricted and complete profile established by ISAK will be taken, specifically the basic measurements, perimeters (cm), lengths (cm) and diameters (cm).
Measured: 40 Minutes
Body composition and morphology by digital anthropometry
The evaluation will be performed using a mobile application that processes standardized frontal and lateral photographs as input. Participants will assume the ISAK anatomical position, which corresponds to standing upright with relaxed arms at sides (hands in neutral position) and feet positioned at biacromial width (aligned with the application's frame markers). After sufficient processing time for automated report generation, we will export data to the participant's designated file and store the generated 3D avatar.
Measured: 15 Minutes
Secondary outcomes (1)
Measurements of dual-energy X-ray absorptiometry
Estimation of fat mass and fat-free mass by DXA will be used as the reference method.
Measured: 10 Minutes
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted4 Jun 2025
- Study start11 Jan 2025
- Primary completionJun 2025 (estimated)
- Study completionDec 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Body CompositionStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Cross-sectional
- Enrolment
- 130 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Dynamical Business and Science Society - DBSS International SAS
- Sponsor type
- Research network
- Collaborators
- CES University, Universidad de Córdoba, ARTHROS Centro de Fisioterapia y Ejercicio
- Responsible party
- Sponsor
- Investigators
- Diego A Bonilla, PhD, Principal investigator, Research Division, DBSS International SAS.Jorge L Petro, PhD, Study chair, Research Division, DBSS International SAS
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07003516
- Sponsor's protocol ID
- CyberMetron_DBSS
- Status last verified
- Jun 2025
- First submitted
- 21 Feb 2025
- Last updated
- 4 Jun 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 4 Jun 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Validation and Development of Digital Anthropometry Methodologies.
- ClinicalTrials.gov ID
- NCT07003516
- Acronym / sponsor ID
- CyberMetron_DBSS
- Conditions
- Body Composition
- Keywords
- Kinanthropometry, Artificial intelligence, Data mining, Machine learning, Mobile Applications, 3D Image
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 130 participants (estimated)
- Lead sponsor
- Dynamical Business and Science Society - DBSS International SASResearch network
- Collaborators
- CES University, Universidad de Córdoba, ARTHROS Centro de Fisioterapia y Ejercicio
- Study start
- 11 Jan 2025 (actual)
- Primary completion
- Jun 2025 (estimated)
- Study completion
- Dec 2025 (estimated)
- First posted
- 4 Jun 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Anthropometric measurements are commonly employed to evaluate body composition, morphology, and health-related parameters across diverse populations. While a cost-effective and field-friendly method, the COVID-19 pandemic has spurred research on digital anthropometry worldwide. Machine learning, a fusion of artificial intelligence and data mining, holds promise for enhancing data collection and analysis in Kinanthropometry applications. Rather than replacing traditional methods, digital anthropometry presents a significant opportunity to enhance accuracy, validity, practicality, and the implementation of self-monitoring procedures under professional guidance. The CyberMetron Project by DBSS aims to perform additional research and increase scientific literacy among practitioners for public awareness of digital anthropometry.
Detailed description
Anthropometric measurements are commonly used to assess body composition, morphology, and health-related parameters in diverse populations. Although it is an economical and practical method in the field, the COVID-19 pandemic has propelled worldwide research on digital anthropometry. Machine learning, a fusion of artificial intelligence and data mining, promises to enhance the collection and analysis of data in applications that rely on cineanthropometric data.
Instead of replacing traditional methods, digital anthropometry represents a significant opportunity to improve the precision, validity, practicality, and implementation of self-monitoring procedures under professional supervision. The CyberMetron Project by DBSS aims to conduct additional research and increase scientific literacy among professionals to raise awareness about digital anthropometry.
Data will be collected from residents of both genders and with different levels of physical activity. The population sample will be obtained through internal calls to both students and administrative staff at participating universities and through an open call. Anthropometric variables of restricted and complete profiles established by ISAK will be measured, along with digital images taken at different distances from the lens. Regarding the sample size, it will be conducted by convenience (non-probabilistic), primarily considering university students, administrative staff, and other potentially eligible adults who respond to the study announcement and sign the informed consent.
Finally, all statistical analyses will be performed within the statistical computing environment R v4.2.3, with a statistical significance of P<0.05. Pearson's correlation coefficient (r), adjusted determination coefficient (aR²), and Lin's concordance correlation coefficient (ρc) will be used for comparative analysis between main variables taken by conventional anthropometry and digital anthropometry. The coefficient of repeated measures correlation (rrm) will be employed to assess the strength of the linear association between variables, while the intraclass correlation coefficient (ICC), with its corresponding 95% confidence interval (95% CI), and Finn's coefficient (rF) will be used to evaluate reliability between evaluators. Additionally, the Bland-Altman analysis will be applied for the concordance analysis between conventional and digital anthropometry.
Study design
- Observational model
- Other
- Time perspective
- Cross-sectional
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| Sedentary | – | –It will be obtained by open call for both students and administrative staff at the CES University. |
| Physically active | – | –DBSS will open a call for participation to get a sample of personal trainers and physically active population that want to be involved as sample participants. |
| 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. |
Who may qualify
- Ages
- 18 to 60 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult
- Study population
- The population sample is obtained through internal calls to both students and administrative staff of the participating universities, as well as through an open call, taking advantage of the collaboration agreement between DBSS International and Smart Fit.
Key inclusion criteria (3 listed)
- People over 18 years of age (under 60 years of age)
- Persons born and living in the cities of the participating universities
- Signed informed consent to undergo evaluation of anthropometric measurements.
Key exclusion criteria (4 listed)
- Body mass ≥ 160 kg
- Amputations
- Pregnant women.
- People with implants or prostheses.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Anthropometric measurements
Time frame: 40 Minutes
Anthropometric measurements of restricted and complete profile established by ISAK will be taken, specifically the basic measurements, perimeters (cm), lengths (cm) and diameters (cm).
Body composition and morphology by digital anthropometry
Time frame: 15 Minutes
The evaluation will be performed using a mobile application that processes standardized frontal and lateral photographs as input. Participants will assume the ISAK anatomical position, which corresponds to standing upright with relaxed arms at sides (hands in neutral position) and feet positioned at biacromial width (aligned with the application's frame markers). After sufficient processing time for automated report generation, we will export data to the participant's designated file and store the generated 3D avatar.
1 secondary outcome
Measurements of dual-energy X-ray absorptiometry
Time frame: 10 Minutes
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 4 Jun 2025.
- Interrelationships between body mass to waist circumference ratio, body mass index, and total body muscularity in older womenLink provided by the sponsor.
- Relative fat mass is a better tool to diagnose high adiposity when compared to body mass index in young male adults: A cross-section study.Link provided by the sponsor.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Diego A Bonilla, PhD principal investigator
Research Division, DBSS International SAS.
Jorge L Petro, PhD study chair
Research Division, DBSS International SAS
3 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Body Composition, run by Dynamical Business and Science Society - DBSS International SAS at 3 sites in Colombia.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 4 Jun 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 3 sites in Colombia. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Diego A Bonilla (+573203352050, dabonilla@dbss.pro), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Anthropometric measurements (time frame: 40 Minutes). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 4 Jun 2025.