BIAdata pool

We started to build up a BIA-raw-data-pool more than 25 years ago (in 1986)… On the suggestion of the authors of the article we will give the invitation to work together with us in this project! Comparison of fat-free mass and body fat in Swiss and American adults. Kyle UG, Genton L, Lukaski HC, Dupertuis YM, Slosman DO, Hans D, Pichard C

Conclusion: The NHANES and Geneva BIA equations estimate body composition equally well in men. Further research is necessary to determine the discrepancies in FFM between BIA equations in women. The greater weight of the US subjects yielded higher values for FFM, BF, and %BF in US than in Swiss men and women. Free internet-based access of data from the large published studies could aid in promoting the use of reference data by investigators and clinicians using BIA.

Data base:
About 555.000 „cleaned“ raw BIA data R, Xc (50 kHz) from caucasiens measured by different members of the „BIAdata-project“ with: Sex, Age, Height, Weight.

Under discussion to extend with:

  • BIS-Data (R0, Rinf, fc)
  • BIAvi riskfat: VAT, SAT
  • segmental BIA data
  • anthropometrical data (waist-hip-circumferences, sagittal diameter, mid-arm circumference, skinfolds),
  • ethnic group,
  • physical activity,
  • general health status

Which parameter will you prefer to extend the BIAdata base? Give your statement: contact us

Body Composition – Reference Data 2019

Die Arbeitsgruppe „AG Wissenschafft“ hat mit mehr als 500.000 Daten aus internationalen Studien über Körperanalysen einen Datenpool geschaffen, der für die kaukasische Bevölkerung eine Erstellung von Normalwerten zulässt. Wir danken allen Wissenschaftlern, die Ihre Daten zur Verfügung gestellt haben.

For example: Fat% female 0-100 years

Table of fat% and muscle mass% 0-20 years

You will find all downloads at the end of this page.

„Best practice“ equations:

1. FFM and FM
FFM = -4.104 + (0.518 x height(2)/resistance) + (0.231 x weight) + (0.130 x reactance) + (4.229 x sex: men = 1, women = 0) r = 0.986 in: SINGLE PREDICTION EQUATION FOR BIOELECTRICAL IMPEDANCE ANALYSIS IN ADULTS AGED 20-94 YEARS. Kyle UG, Genton L, Karsegard L, Slosman DO, Pichard C. Division of Clinical Nutrition and Dietetics, Geneva University Hospital, Geneva, Switzerland. Nutrition. 2001 Mar;17(3):248-53.

Specific equations for different BMI
Lean body mass estimation by bioelectrical impedance analysis: a four-site cross-validation study. K R Segal, M Van Loan, P I Fitzgerald, J A Hodgdon, T B Van Itallie
Am J Clin Nutr January 1988 vol. 47 no. 1 7-14

Skinfold measurement:
Development and validation of skinfold-thickness prediction equations with a 4-compartment modelMatthew J Peterson, Stefan A Czerwinski, and Roger M Siervogel
Am J Clin Nutr May 2003 77: 1186-1191

2. BCM
BCM = LBWkg * 0.29 * Log(Atn(Xc / R) * 180 / pi) * 1.1 in: BIOELECTRIC IMPEDANCE H. M. Shizgal (Dept. of Surgery-Royal Hospital and Mc Gill Univ. MontrealCanada) Infusionstherapie 1990:17 (suppl. 3):67–74 and VALIDATION OF THE MEASUREMENT OF BODY COMPOSITION FROM WHOLE BODY – KENNETH J. ELLIS Human Body Composition: In Vivo Methods Physiol Rev January 4, 2000 vol. 80 no. 2 649-680

HUMAN BODY COMPOSITION: 2nd ed, edited by SB Heymsfield, TG Lohman, ZM Wang, and SB Going, 2005, Human Kinetics, Champaign, Marta Van Loan IL. Am J Clin Nutr December 2005 82: 1361

3. Muscle Mass
ASMM = -4.211 + (0.267 x height2 / resistance) + (0.095 x weight)+(1.909 x sex (men = 1, women = 0)) + (-0.012 x age) + (0.058 x reactance).
Skeletal muscle mass = ASMM/0.75 in: VALIDATION OF A BIOELECTRICAL IMPEDANCE ANALYSIS EQUATION TO PREDICT APPENDICULAR SKELETAL MUSCLE  MASS (ASMM). Kyle UG, Genton L, Hans D, Pichard C. Clinical Nutrition, Geneva University Hospital, Geneva, Switzerland. Clin Nutr. 2003 Dec;22(6):537-43. SMM(kg)=[(height2 / resistance x 0,401) + (gender x 3.825) + (age x -0.071)] + 5.102 in: ESTIMATION OF SCELETAL MUSCLE MASS BY BIOELECTRICAL IMBEDANCE ANALYSIS Janssen I, Heymsfield SB, Baumgartner RM, Ross R, J Appl Physiol 89: 465-471, 2000

Muscle mass – own studies of the „AG Wissenschafft“ (K40, Creatinin)


Do you want to take part in this worldwide project? Please: contact us