Body Composition Techniques

The accurate measurement of Lean Body Mass is now the most rational basis for nutritional and exercise prescriptions. The importance of clinical body composition is now being recognized.

There is evidence that research and interest in body composition was explored centuries ago by Archimedes, though most of the research data that is available on human body composition has been completed in the last forty years.

With the recent interest in personal health, nutritional status and fitness, several methods of estimating body fat have been developed and used in clinical settings. Various body composition analysis techniques are reviewed in this article including:

  • Hydrostatic Weighing
  • Height/Weight Tables
  • Body Mass Index
  • Skin Fold Measurements
  • Anthropometric Measurements
  • Infrared Interactance
  • Bioimpedance Assessment (BIA)
  • ElectroLipoGraphy (ELG)
  • Anthro-ElectroLipoGraphy (AELG)

Hydrostatic Weighing

Hydrostatic Weighing is currently considered the “Gold Standard” of body composition analysis. Hydrostatic measurements are based on the assumption that density and specific gravity of lean tissue is greater than that of fat tissue. Thus, lean tissue will sink in water and fat tissue will float. By comparing a test subject’s mass measured under water and out of the water, body composition may be calculated. The “Gold Standard” of body composition is a mathematical prediction.

Technique

There are several limitations to the hydrostatic weighing technique. The equipment required to perform hydrostatic measurements is bulky and maintenance intense. A large tank of water, usually 1000 gallons, must be maintained at a constant temperature. Equipment to measure residual lung volume must be utilized.

A calibrated autopsy scale or its electronic equivalent, connected to an “under-water chair” is also required.

Test subjects are asked to exhale as much air as possible from their lungs and be immersed for 10 to 15 seconds for an underwater weight measurement to be taken. This procedure is repeated 7 to 10 times. Total test procedures may require 45 minutes to one hour. (Cohn, 1981)

Test Re-Test

The accepted test re-test of hydrostatic weighing is ± 2.5% for comparison of consecutive tests with the same subject and the same technician. In non-controlled settings the test re-test variable may be significantly higher. Most of the variance is accounted for from a lack of subject cooperation and a lack of technician discipline and/or experience. Many tanks have not critically examined their test/re-test results. (Lohman, et al, 1981) (Katch, et al, 1984)

Bone Density

Hydrostatic weighing methodology assumes that the density of bone in humans is constant. Thus, differences in bone density will create test errors. African-Americans and trained athletes are now known to have a higher bone density than non-athlete Caucasians. The elderly and Asians have considerably lower bone density. Specialized equations have been developed for use with African-American populations. (Harsha, et al, 1978)

Convenience

Fear of immersion, fear of infection, obesity and infirmity are additional barriers to the Hydrostatic measurement of accurate body composition analysis.

Height/Weight Tables

In 1953 the Metropolitan Life Insurance Company developed the first height/weight tables to calculate the degree of individuals over or under weight status. The data was based on “averages” from its client base for both men and women. In 1983 the tables were revised based on updated data.

Frame size is an important, subjective factor utilized in the development of the tables with small, medium and large frame determinations changing the “ideal weight” recommendation. Improvement on frame size determinations were implemented in 1986 with the elbow breadth or wrist circumference measurements used to classify frame size.

The use of the Metropolitan height/weight table gives no indication as to the degree of either obesity or leanness on an individual basis. In the individual clinical setting, height/weight tables can provide grossly inaccurate conclusions about an individual’s health risk.

The validity of estimation of percent body fat and density by height and weight measurements when compared to the Hydrostatic tank is very poor with correlation coefficients in the range of .31 to .43.

Body Mass Index (BMI)

Body Mass Index has recently been used to quantify an individual’s obesity level. BMI is derived from a ratio equation of height squared divided by weight. Here again, only an individual’s height and weight are used and no indication of actual lean or fat mass can be determined. Thus, BMI offers little advantage over the existing Metropolitan tables.

Skin Fold Measurements

The test methodology for body fat estimation with skin fold measurements requires the use of a “caliper device” to measure the thickness of substantial fat stores. The assumption is that substantial fat is proportional to over all body fat and thus by measuring several sites total body fat may be calculated.

There are many site measurements where skin fold measurements can be taken. Currently over 100 different equations are available to estimate body fat with the use of skin fold calipers. The wide variety of equations reflects the problem with the accuracy of this methodology.

There are many limitations with the Skin Fold measurement technique. The validity of skin fold measurements is at best ±6% compared to the hydrostatic tank. Because of the inaccuracy associated with skin fold calipers, many credible organizations such as the U.S. Army and the Los Angeles Police Department have abandoned the use of them. (Stevens 1983)

Inter-operator Error

The estimation results obtained from skin fold measurements vary widely from technician to technician. The “art” of skin fold measurements requires the technician to properly identify a site measurement and pinch the skin gathering only the fat store and no other tissue. The error of estimate between technicians has been reported to be ±8%. (Smith, 1977)

Fat Storage

The assumption that 50% of human body fat is located in subcutaneal tissues and the remaining 50% is found in intra-muscular and essential fat (around organs) is not universally valid. Body fat distribution and health risk varies depending on genetics, exercise and nutritional patterns. (Cooper, et al, 1978)

Fat Thickness and Density

The obese population represents unique limitations for skin fold measurements. Skin fold calipers cannot open wide enough to measure the total fat thickness, thus tends to grossly under estimate body fat percentage in the obese population. Also of concern, especially in the obese population, is the compression of fat by the caliper due to variances in fat density. Again, this tends to inaccurately estimate percent fat in the obese, the population where accuracy is most important.

Anthropometric Measurement

The use of Anthropometric Measurement (girth and length) is a quick, easy and inexpensive method to estimate body composition. Using a standard calibrated cloth tape, girth and length measurements are taken from specific points on the body.

The methodology is based on the assumption that body fat is distributed at various sites on the body such as the waist, neck and thigh. Muscle tissue on the other hand is usually located at anatomical locations such as the biceps, forearm and calf. The subjects weight, height, girth size and ratios of various site comparisons are utilized in the calculations of percent body fat.

Although the use of anthropometric measurements provides a reasonably reproducible value and gives a topographical assessment of an individual, the established accuracy for the prediction of body fat is at least ±5% compared to the hydrostatic tank.

Near Infrared Interactance

The use of Infrared (IR) light to measure fat is not a new technique. The U.S.D.A first developed the technique to measure the fat contained in 1 cubic centimeter sections of beef and pork carcasses after slaughter.

In the human device, a “wand” from the device emits an IR light source at about 900 nanometers into the biceps area. The methodology is based on the ability of fat tissues to “absorb” more IR light than lean tissue which can then be measured as a change in the infrared level.

The only commercially available unit to predict human body composition is manufactured by Futrex. Since the Futrex device was first marketed for clinical use, many research articles have been published stating that the device is not accurate and is not recommended for clinical use in the assessment of body composition.

The original application of this IR technology was developed on “skinned” carcasses. No research is available about IR penetration through the skin.

The actual contribution of the IR wand measurement and input into the height and weight calculations used in the device’s program have also been questioned. This device has not been approved by the FDA for use. 

Bioelectrical Impedance

The use of bioelectrical impedance was first documented in 1880 (Kalvin), as a potentially safe, convenient and accurate technique to measure conductivity in the body.

The method is based on the fact that the lean tissue of the body is much more conductive due to its higher water content than fat tissue.

A bioimpedance meter is attached to the body, at the extremities, and a small 500-800 micro-amp, 50 kilohertz, signal measures the body’s ability to conduct the current.

The more lean tissue present in the body the greater the conductive potential, measured in ohms.

Linear Regression Formulas

In the early 1980’s, the first commercial bioimpedance units were available to measure human body composition (RJL, Valhalla, Space Labs etc.). These bioimpedance units utilize “linear regression” formulas to predict body fat based on biological data input into a single equation.

A review of the literature indicates that bioimpedance units which utilize these linear regression equations tend to be somewhat valid for a “normal” population, but under-predict body fat for obese subjects and over-predict body fat of lean subjects. The standard errors of estimate for these equations are ±5% to ±6.4% in normal populations when compared to the hydrostatic tank. 

ElectroLipoGraphy (ELG)

In 1985, the first validated algorithmic equations to interpret bioimpedance measurements were developed and patented by BIO|ANALOGICS. The use of the algorithmic equations instead of linear regression allows for population specific variables for lean, obese, elderly and pediatric subjects. The National Institutes of Health (NIH) conference on bio-impedance analysis (1994) concluded that to obtain valid predictions of percent body fat in humans, population specific equations must be applied.

The algorithmic equations developed and patented by BiO|ANALOGICS are population specific and validated on all types of subjects. The current validation studies contain more than 1000 subjects with an error factor of ±3.3% and a correlation coefficient of .88 compared to the criterion hydrostatic tank.

As mentioned earlier, the accepted test/re-test variance with hydrostatic measurements is 2.5% when compared to itself. The accepted test/re-test variance for bioimpedance analysis is less than ±.5%. 

Anthro-ElectroLipoGraphy (AELG)

Anthro-ElectroLipoGraphy, the new, state of the art technology, utilizes the algorithmic approach of ElectroLipoGraphy (ELG) coupled with specific anthropometric measurements to further define body fat measurements. This technique was developed by BIO|ANALOGICS to further improve the original, patented algorithmic formula.

A total of five (5) to six (6) site measurements are entered into the algorithmic formula to increase the correlation coefficient to .91, and to reduce the standard error of estimate to ±2.8% compared to the hydrostatic tank. No other clinically available unit provides the Scientific accuracy, reliability and efficiency across a wide range of subjects. 

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