Body Composition Techniques 2 Doubly Indirect Methods for the Estimation of % Body Fat General Research Approach for Doubly Indirect Methodologies Selected subject sample based upon required criteria. Equations produced will be highly sample specific. Determine body density or % fat of each subject using an accepted indirect methodology; often underwater weighing Measure subjects with new predictor measure Produce regression equations to best predict density or % fat from new predictor measure Equations often also include height, weight and activity level and are age and sex specific Regression Equations to Predict % Body Fat % Body Fat from Indirect Method = m(New Predictor Variable Measures) + c Regression Analysis produces: m = slope, c= intercept Correlation Coefficient (r) Standard Error of Estimate (SEE in units of Y) % Body Fat fromY Indirect Method d New Predictor Variable Measures X Doubly Indirect Methods for Estimating % Body Fat There are no constants that can be applied to these predictor variables that will give a prediction of % Fat. They are all doubly indirect methodologies Skinfold (Anthropometric) predictions Ultrasound Radiography Bioelectrical Impedance Analysis (BIA) Near-infrared Spectrophotometry (NIR) DEXA (Dual Energy X-Ray Absorptiometry) Anthropometric (skinfolds) prediction of % Fat Adipose Tissue Adipose Tissue not Fat Equations predict % Fat (Lipid) Over 100 equations available for the prediction of percentage body fat or body density All are sample specific Specific for age, gender, activity level, nutrition etc. Assumptions inherent in prediction of % Fat from Skinfolds Based upon densitometry “Which is better UW Weighing or Skinfold predictions?” %fat from skinfolds is predicted using equations developed from UW Weighing of subjects. UW Weighing: S.E.E. = 2.77% Fat Skinfolds: S.E.E. = 3.7% Fat Assumptions inherent in prediction of % Fat from Skinfolds Constant Skinfold Patterning Constant Skinfold Compressibility Constant Tissue Densities Constant Ratio of external/internal adipose tissue Constant Fat (lipid) content of adipose tissue YUHASZ Male: % Fat = 0.1051(Sum 6 SF) + 2.585 Female: % Fat = 0.1548(Sum 6 SF) + 3.580 Canadian University Students Can never give a negative answer. What if weight alone changes or is different? Durnin & Womersley Density = a (log10Sum 4 SF) + c Overpredicts by 3 - 5% Fat British (left side) Age and gender specific equations Upper body sites Electronic Skinfold Caliper Ultrasound High Frequency Sound (6 MHz) Some sound reflected at tissue interfaces Time taken for return of sound used to estimate distance based upon assumed speed of sound in that tissue % Fat prediction from Ultrasound Regression equations predicting densitometrically determined % Fat S.E.E.’s comparable to skinfold predictions Beware of “predict anything from anything” once it is in a computer RADIOGRAPHY Measurements from radiographs – uncompressed tissue thicknesses Regression equations predicting densitometrically determined % Fat BIOELECTRICAL IMPEDANCE ANALYSIS (BIA) BIA measured by passing a microcurrent through the body % Fat predicted from sex, age, height, weight & activity level + BIA Influenced by hydration level Claims that you can guess % fat more accurately Bioelectrical Impedance Analysis BIA measures impedance by body tissues to the flow of a small (<1mA) alternating electrical current (50kHz) Impedance is a function of: – electrical resistance of tissue – electrical capacitance (storage) of tissue (reactance) BIA: basic theory The body can be considered to be a series of cylinders. Resistance is proportional to the length of the cylinder Resistance is inversely proportional to the crosssectional area Typical BIA Equations Males – Females – FFM = -9.53 + 0.69H2/R + 0.17W + 0.02R Where – – – – FFM = -10.68 + 0.65H2/R + 0.26W + 0.02R FFM = fat free mass (kg) H = height (cm) W = body weight (kg) R – resistance (ohms) % BF = 100 x (BW-FFM)/BW BIA: Advantages and Limitations Advantages – – – – costs ($500-$2000) portable non-invasive fast Limitations – – accuracy and precision no better, usually worse than hydrodensitometry Major types of BIA analyzers Client Friendly Site Specific? BIA Protocol Very sensitive to changes in body water – normal hydration Sensitive to body temperature – caffeine, dehydration, exercise, edema, fed/fasted Avoid exercise Sensitive to placement of electrodes – conductor length vs. height Near Infra-Red Spectrophotometry (NIR) FUTREX Near Infra-Red light emitted from probe Reflected light monitored Changes due to differing optical densities Influenced by hydration Relative Fat/Water Index may be useful Dual-Energy X-ray Absorptiometry DEXA, DXA Dual Energy X-ray Absorptiometry Two different energy level X-rays Lean, fat, and bone mass each reduce (attenuate) the X-ray signal in unique ways Whole body Regional Osteoporosis X-Ray Measurement System Dual energy attenuation values are measured for each point in the image Calibration standards (acrylic, aluminum, delrin) are measured The fat and lean mass of each point in the image is calculated by direct comparison to the standards BMI = 12.6 %Fat = 3.2% BMI = 18.1 %Fat = 23.1% BMI = 23.7 %Fat = 48.1% What DEXA Measures Fat and fat-free mass (based upon the standards) Bone Mineral Mass Regional results for the above DEXA Cannot Measure... Protein Mass 3-D Fat Distribution Hydration Status Tissue inside bone (brain, marrow, blood) Next generation of Body Composition Models Two compartment plus – – – Water Bone mineral Protein 3 or 4 compartment models now regarded as the reference standard rather than underwater weighing