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Enrolling by invitation NCT06453564

Cross Validation of Body Composition Measurement

Observational Body Composition

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
This is an observational study: the protocol does not assign a study treatment.
Who it may be relevant to
Registry conditions: Body Composition. Basic parameters: No limits · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
China
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Overview

Obesity, as a chronic disease, has emerged as one of the most pressing health concerns in the 21st century. According to statistics, over 2.1 billion individuals worldwide are affected by overweight or obesity. It is worth noting that obesity ranks fifth among the leading causes of mortality globally. Body fat percentage (fat%) serves as an accurate measure for evaluating body fat content, which can be further categorized into subcutaneous fat, intra-abdominal fat, and intra-organ fat. Subcutaneous fat primarily functions in heat preservation and energy storage while intra-abdominal fat plays a crucial role in safeguarding internal organs from harm. Visceral fat deposition mainly occurs due to intracellular lipid degeneration within organ cells. Extensive research has demonstrated significant variations in metabolic indications and risks associated with different types of fats across various body regions. Therefore, precise segmentation and quantification of overall body fat composition and its distribution hold immense significance for studying individual obesity characteristics, predicting health outcomes, facilitating clinical diagnosis, and devising effective treatment strategies. However, it should be noted that current instruments used for measuring body composition exhibit varying levels of accuracy. Henceforth, this study aims to cross-validate several commonly employed body composition analyzers including DXA (Dual-energy X-ray Absorptiometry), BIA (Bioelectrical Impedance Analysis), BODPOD (Air Displacement Plethysmography), MRI (Magnetic Resonance Imaging), deuterium dilution technique, and 3D laser scanning techniques to assess their agreement and discrepancies when measuring different aspects of body composition.

Detailed description

Cross validation of body composition measurement

Body composition will be measured by the following methods:

The fasting body weight and height were measured using the Seca medical metric system (Seca 311231, Germany). Volunteers were instructed to wear a standardized disposable lab coat and stand barefoot on an electronic scale for accurate measurements. Barefoot height was measured to the nearest millimeter using a commercially available Leicester stadiometer (Seca 217, Germany). Volunteers were positioned in the center of the 3D scanning room (Scanatic™ 360) and instructed to maintain proper posture while our scanning staff operated the scanner, sensor, and camera in order to obtain precise human dimensional data including waist circumference and hip circumference.

BIA (Bioelectrical Impedance Analysis):

The TANITA device (TANITA- mc980) provides individual weight measurements for the right arm, left arm, trunk, right leg, and left leg. Additionally, it generates a comprehensive body composition report that includes body weight (BW), percentage of body fat (fat%), body fat mass (FM), BMI, and fat-free mass (FFM).

DXA (Dual-energy X-ray Absorptiometry):

During DXA measurements (Horizon, Hologic), all volunteers will be required to wear uniform disposable lab coats and remove any metal accessories. Dual-energy X-ray absorptiometry (DXA) utilizes a low dose X-ray beam with two energy peaks, one predominantly absorbed by soft tissues and the other mainly absorbed by bone, to assess the whole body at the workbench. This enables quick differentiation of bone fraction from total body composition and provides penetration analysis of soft tissue through software algorithms for accurate determination of fat mass and fat-free mass.

BODPOD (Air Displacement Plethysmography):

Prior to the test, the volunteers underwent a fasting period and refrained from engaging in exercise, intense physical activity, or smoking within two hours. To minimize any potential impact on measurement results, it was required for them to wear a well-fitting swimsuit (boxers for men; one-piece bathing suit for women), a swimming cap, and remove all accessories (such as watches, necklaces, earrings, rings, and socks) from their bodies. BODPOD (GS-X, Cosmed) operates on the principle of air displacement similar to the classical underwater weighing method. Utilizing a 2-component model approach based on body composition analysis divides it into two components: body fat and free fat mass. By measuring gas volume displaced and considering differences in density between fat and non-fat tissues along with volunteer's body weight data upon entering the test chamber allows calculation of both percentage of body fat and percentage of lost body fat.

MRI (Magnetic Resonance Imaging):

This experiment used cutting-edge magnetic resonance imaging (MRI, United-Imaging Healthcare, uMR790) instrument measurement, no injection of contrast medium, volunteers lie flat on the MRI bed body, using a newly developed rapid magnetic resonance dynamic imaging sequence to scan the whole body covering the neck to the knee, MRI scanning by trained professionals. All subjects will undergo the test, and the data collected will be used to assist in the development of computer language programming for whole-body fat quantification and segmentation.

Deuterium dilution technology:

Over the past 50 years, stable isotope technology has been extensively utilized in the field of human nutrition. Deuterium, a stable and nonradioactive isotope of hydrogen, is employed in the form of deuterium oxide which is orally administered to volunteers and thoroughly mixed with their body water. Subsequently, it is excreted through urine, saliva, sweat, and milk. The recycling process of deuterium oxide within the body mirrors that of regular water as it becomes dispersed throughout the body and eventually expelled. This technique can be applied to both adults and children; moreover, by providing lactating mothers with deuterium oxide water intake data can be obtained regarding breast milk consumption by breastfed infants. Prior to administering water, baseline urine samples were collected from adult participants who then received 30g of precisely measured deuterated oxide water (with an accuracy up to 0.001g). Three hours later, additional urine samples were collected for analysis purposes. By examining changes in deuterium abundance within these samples, calculations can be made regarding total body water content while fat weight can be determined using the formula FFM(kg) = TBW (kg)/0.732.

Primary outcome measures

  • Weight [Time frame: About 10 minutes.]
  • Height [Time frame: About 5 minutes.]
  • BMI [Time frame: About 10 minutes (calculated).]
  • Fat mass [Time frame: About two weeks (including the time to calculate the MIR results).]
  • Fat free mass [Time frame: About three weeks (including the sample analysis time taken by the deuterium dilution technique).]
  • Fat% [Time frame: About two weeks (including the time to calculate the MIR results).]
  • Total body water [Time frame: About three weeks (including the sample analysis time taken by the deuterium dilution technique).]
  • Total body volume [Time frame: About a week.]

Eligibility criteria

Inclusion criteria

  • Healthy volunteers
  • BMI ranges between 18-35 kg/m2

Exclusion criteria

  • current pregnancy or pregnancy within the last 12 months, and/or currently breast feeding or lactating
  • Individuals with known non-communicable disease notably diabetes, cardiovascular disease or cancer
  • any diseases or chronic use of medications that would influence ability to comply with the study requirements

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Observational model
Cohort

Study locations

China · 1 center
  • Shenzhen Institutes of advanced technology — Shenzhen

Publications

  • Speakman JR, Yamada Y, Sagayama H, Berman ESF, Ainslie PN, Andersen LF, Anderson LJ, Arab L, Baddou I, Bedu-Addo K, Blaak EE, Blanc S, Bonomi AG, Bouten CVC, Bovet P, Buchowski MS, Butte NF, Camps SGJA, Close GL, Cooper JA, Creasy SA, Das SK, Cooper R, Dugas LR, Ebbeling CB, Ekelund U, Entringer S, Forrester T, Fudge BW, Goris AH, Gurven M, Hambly C, El Hamdouchi A, Hoos MB, Hu S, Joonas N, Joosen PMID 33665639
  • WEIR JB. New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol. 1949 Aug;109(1-2):1-9. doi: 10.1113/jphysiol.1949.sp004363. No abstract available. PMID 15394301

Identifiers

NCT: NCT06453564 · SIAT-IRB-221115-H0630

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗