NCT04854421: MEASURE

Evaluation of the Accuracy of a Computer Vision-based Tool for Assessment of Total Body Fat Percentage

Completed Results posted Last updated 22 August 2024

What this trial tests

trial testing VBC in Obesity in 138 participants. Completed in 21 December 2020.

Timeline

12 August 2020

Primary endpoint
21 December 2020

21 December 2020

Quick facts

Lead sponsor	Pennington Biomedical Research Center
Status	Completed
Study type	OBSERVATIONAL
Enrollment	138
Start date	12 August 2020
Primary completion	21 December 2020
Estimated completion	21 December 2020
Sites	2 locations across United States

Drugs / interventions tested

• VBC

Conditions studied

• Obesity — all drugs for Obesity →

Sponsor

Pennington Biomedical Research Center — full company profile →

Who can join

Adults 21 to 80, any sex, with Obesity. Patients with the condition only — healthy volunteers not accepted.

Results — posted to ClinicalTrials.gov

Per-arm endpoint measurements with 95% confidence intervals where reported. Source: trial results section.

Comparison of Body Fat Percentage Estimates to DXA References Classified by Body Mass Index Primary · within a single, 3-hour evaluation

Comparison of Body Fat Percentage estimates to DXA references classified by Body Mass Index

BMI < 25

Group	Value	95% CI
Smartphone Visual Body Composition (VBC)	2.50	± 1.8
FitBit Aria 2 (cBIA 1)	6.36	± 3.5
Tanita BF-684W (cBIA 2)	5.75	± 3.3
Renpho ES-24M-W/B (cBIA 3)	7.66	± 4.6
InBody S10 (pBIA1)	4.29	± 2.2
Quantum IV (pBIA 2)	4.41	± 2.8
BOD POD ADP	3.31	± 2.2

BMI 25-29.9

Group	Value	95% CI
Smartphone Visual Body Composition (VBC)	1.90	± 1.4
FitBit Aria 2 (cBIA 1)	3.02	± 2.3
Tanita BF-684W (cBIA 2)	5.04	± 14.3
Renpho ES-24M-W/B (cBIA 3)	6.00	± 4.9
InBody S10 (pBIA1)	2.49	± 1.4
Quantum IV (pBIA 2)	3.82	± 3.1
BOD POD ADP	2.30	± 1.9

BMI > 30

Group	Value	95% CI
Smartphone Visual Body Composition (VBC)	2.16	± 1.4
FitBit Aria 2 (cBIA 1)	4.44	± 1.8
Tanita BF-684W (cBIA 2)	4.31	± 3.6
Renpho ES-24M-W/B (cBIA 3)	4.60	± 4.6
InBody S10 (pBIA1)	2.63	± 2.0
Quantum IV (pBIA 2)	5.58	± 2.6
BOD POD ADP	3.67	± 2.3

Comparison of Body Fat Percentage Estimates to DXA References Classified by Sex Primary · within a single, 3-hour evaluation

Comparison of Body Fat Percentage estimates to DXA references classified by Sex

Male Participants

Group	Value	95% CI
Smartphone Visual Body Composition (VBC)	1.88	± 1.3
FitBit Aria 2 (cBIA 1)	4.53	± 5.0
Tanita BF-684W (cBIA 2)	6.23	± 13.4
Renpho ES-24M-W/B (cBIA 3)	4.11	± 3.3
InBody S10 (pBIA1)	3.37	± 2.4
Quantum IV (pBIA 2)	5.01	± 3.0
BOD POD ADP	3.50	± 2.4

Female Participants

Group	Value	95% CI
Smartphone Visual Body Composition (VBC)	2.34	± 1.6
FitBit Aria 2 (cBIA 1)	4.45	± 3.3
Tanita BF-684W (cBIA 2)	4.10	± 3.1
Renpho ES-24M-W/B (cBIA 3)	6.89	± 5.3
InBody S10 (pBIA1)	2.98	± 1.8
Quantum IV (pBIA 2)	4.54	± 2.9
BOD POD ADP	2.90	± 2.1

Sponsor's own description

This research study is designed to validate the precision and accuracy of body measurement and composition results from a novel 2D imaging device that operates through a smart-phone application. Measurement references will be obtained through dual energy x-ray absorptiometry, air displacement plethysmography, bioelectrical impedance analysis, manual anthropometry, and previously validated 3D optical scanners.

Publications & conference data

2 peer-reviewed publications reference this trial (live from Europe PMC):

1. Smartphone camera based assessment of adiposity: a validation study.
   Majmudar MD, Chandra S, Yakkala K, Kennedy S, et al · · 2022 · cited 53× · PMID 35768575 · DOI 10.1038/s41746-022-00628-3
2. Development and validation of an accurate smartphone application for measuring waist-to-hip circumference ratio.
   Choudhary S, Iyer G, Smith BM, Li J, et al · · 2023 · cited 2× · PMID 37696899 · DOI 10.1038/s41746-023-00909-5