Prediction of fat‐free mass in black and white pre‐adolescent and adolescent girls from anthropometry and impedance
Abstract
As an ancillary project of the National Heart Lung and Blood Institute's Growth and Health Study (NGHS), data of 31 black girls and 38 white girls, 10–16 years of age, were used to develop equations to predict fat‐free mass (FFM) from selected anthropometric dimensions and bioelectric impedance measures of resistance and reactance. Subjects were drawn from ongoing projects at the Children's Hospital Medical Center (CHMC) to obtain girls of both races from a wide range of body mass indices. FFM was estimated from measures of dual energy X‐ray absorptiometry (DXA). The resulting equations had a root mean square error (RMSE) of 1.9 kg and a coefficient of variation (CV) of 4.9% for black girls using independent variables: stature divided by resistance squared (S 2/R), thigh circumference, subscapular and suprailiac skinfold thicknesses. The corresponding values for white girls were 1.1 kg and 3.2% using independent variables: S 2/R, arm circumference, weight, and reactance divided by resistance (R/R c). In addition to cross‐validating the ethnic‐specific equations using PRESS statistics, the equation for white girls was also cross‐validated using an independent sample of 35 girls from the Fels Longitudinal Study selected to match the CHMC sample. The cross‐validation yielded a pure error of 2.4 kg FFM and a CV of 7%. The predicted values for FFM from the equations were used to calculate percentage of body fat in the CHMC sample and the pure errors for estimating percentage of body fat were 3% for blacks and 2% for whites. © 1993 Wiley‐Liss, Inc.
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Concerning foot-to-hand technology for under 18 years old, four equations are suitable only for females.
“Concerning foot-to-hand technology, four equations are suitable only for females [55, 76], while eight are suitable for both sexes [37, 58, 59, 72, 73, 75, 100].”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [55]
Two of the studies on subjects under 18 years old were conducted in the USA and involved no female participants.
“Two of these studies were conducted in the USA, where no female participants were involved [55, 76], while the remaining 12 studies were performed in different countries around the world with both sexes included [37, 43–45, 57–59, 72–75, 100].”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [55]
Concerning foot-to-hand technology for under 18 years old, four equations were found for estimating FFM in females only.
“Concerning foot-to-hand technology, four equations were found for estimating FFM in females only [55, 76] and two for both sexes [59, 73].”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [55]
Out of the 19 equations for under 18 years old, 12 were developed using foot-to-hand technology.
“Out of the 19 equations, 12 were developed using foot to hand technology [37, 55, 58, 59, 72, 73, 75, 76, 100] and seven equations were developed using segmental technology [43–45, 57, 74].”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [55]
Cites
Classical and Modern Regression With Applications.
Steinhorst, R. K., & Myers, R. H. (1988) · Journal of the American Statistical Association · doi:10.2307/2288958 · Cited by 3,691 · see citing works
Regression Analysis by Example.
Kmenta, J., Chatterjee, S., & Price, B. P. (1980) · Journal of the American Statistical Association · doi:10.2307/2287213 · Cited by 3,211 · see citing works
Body composition from fluid spaces and density: analysis of methods. 1961.
Siri, W. E. (1994) · PubMed · Cited by 2,556 · see citing works
Techniques for Measuring Body Composition
National Research Council (1961) · National Academies Press eBooks · doi:10.17226/21603 · Cited by 1,616 · see citing works
Mazess, R., Barden, H. S., Bisek, J., & Hanson, J. (1990) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/51.6.1106 · Cited by 1,465 · see citing works
Methods for the assessment of human body composition: traditional and new
Lukaski, H. C. (1987) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/46.4.537 · Cited by 1,150 · see citing works
Lean body mass estimation by bioelectrical impedance analysis: a four-site cross-validation study
Segal, K., Van Loan, M., Fitzgerald, P., Hodgdon, A., & Van Itallie, T. (1988) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/47.1.7 · Cited by 881 · see citing works
Estimation of total body water by bioelectrical impedance analysis
Kushner, R., & Schoeller, D. (1986) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/44.3.417 · Cited by 772 · see citing works
11 Applicability of Body Composition Techniques and Constants for Children and Youths
Lohman, T. G. (1986) · Exercise and Sport Sciences Reviews · doi:10.1249/00003677-198600140-00014 · Cited by 654 · see citing works
Regression Analysis by Example
Hahn, G. J., Chatterjee, S., & Price, B. (1979) · Technometrics · doi:10.2307/1268529 · Cited by 625 · see citing works
Advances in Body Composition Assessment
Lohman, T. G. (1993) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199306000-00021 · Cited by 612 · see citing works
Electrical Impedance Plethysmography
Nyboer, J., Mm, K., & Hannapel, L. (1950) · Circulation · doi:10.1161/01.cir.2.6.811 · Cited by 493 · see citing works
Classical and Modern Regression With Applications
Cornell, J. A., & Myers, R. H. (1987) · Technometrics · doi:10.1080/00401706.1987.10488247 · Cited by 465 · see citing works
Advances in body composition assessment
Boileau, R. A. (1993) · Cadernos de Saúde Pública · doi:10.1590/s0102-311x1993000500016 · Cited by 449 · see citing works
Houtkooper, L. B., Going, S. B., Lohman, T. G., Roche, A. F., & Van Loan, M. (1992) · Journal of Applied Physiology · doi:10.1152/jappl.1992.72.1.366 · Cited by 348 · see citing works
In Vivo Body Composition Studies
Yasumura, S., Harrison, J. E., McNeill, K. G., Woodhead, A. D., & Dilmanian, F. A. (1990) · Springer eBooks · doi:10.1007/978-1-4613-1473-8 · Cited by 317 · see citing works
(1992) · American Journal of Public Health · doi:10.2105/ajph.82.12.1613 · Cited by 285 · see citing works
Heymsfield, S. B., Lichtman, S. W., Baumgartner, R., Wang, J., Kamen, Y., Aliprantis, A. O., & Pierson, R. (1990) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/52.1.52 · Cited by 280 · see citing works
Heymsfield, S. B., Wang, J., Heshka, S., Kehayias, J. J., & Pierson, R. N. (1989) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/49.6.1283 · Cited by 277 · see citing works
Total body bone mineral and lean body mass by dual-photon absorptiometry
Peppler, W. W., & Mazess, R. B. (1981) · Calcified Tissue International · doi:10.1007/bf02409455 · Cited by 245 · see citing works
An Anthropometric Estimation of Body Density and Lean Body Weight in Young Women
Wilmore, J. H., & Behnke, A. R. (1970) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/23.3.267 · Cited by 240 · see citing works
Wahner, H. W., DUNN, W. L., Brown, M. L., Morin, R. L., & Riggs, B. L. (1988) · Mayo Clinic Proceedings · doi:10.1016/s0025-6196(12)65502-5 · Cited by 229 · see citing works
Total body composition by dual-photon (153Gd) absorptiometry
Mazess, R. B., Peppler, W. W., & Gibbons, M. (1984) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/40.4.834 · Cited by 156 · see citing works
Measurement of lean body mass and total body fat using dual photon absorptiometry
Gotfredsen, A., Jensen, J., Borg, J., & Christiansen, C. (1986) · Metabolism · doi:10.1016/0026-0495(86)90101-0 · Cited by 139 · see citing works
Zillikens, M. C., & Conway, J. (1990) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/52.1.45 · Cited by 129 · see citing works
Soft Tissue Composition and Bone Mineral Status: Evaluation by Dual-Energy X-Ray Absorptiometry
Lukaski, H. C. (1993) · Journal of Nutrition · doi:10.1093/jn/123.suppl_2.438 · Cited by 128 · see citing works
Guo, S. M., Roche, A. F., & HOUTKOOPER, L. B. (1989) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/50.3.435 · Cited by 122 · see citing works
Self-citationELECTRICAL IMPEDANCE PLETHYSMOGRAPHY
Neil, E. (1960) · Quarterly Journal of Experimental Physiology and Cognate Medical Sciences · doi:10.1113/expphysiol.1960.sp001482 · Cited by 107 · see citing works
Prediction of lean body mass in young boys from skinfold thickness and body weight.
Tg, L., Ra, B., & Massey, B. H. (1975) · PubMed · Cited by 80 · see citing works
Effect of bone density on body composition estimates in young adult black and white women
T, K. D. C., & Adams, W. C. (1993) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199302000-00021 · Cited by 69 · see citing works
Extraction and measurement of deuterium oxide at tracer levels in biological fluids
Byers, F. M. (1979) · Analytical Biochemistry · doi:10.1016/0003-2697(79)90728-0 · Cited by 67 · see citing works
Is bioimpedance a good predictor of body-composition change?
Forbes, G., Simon, W., & Amatruda, J. (1992) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/56.1.4 · Cited by 66 · see citing works
Chumlea, W. C., Guo, S. S., Kuczmarski, R. J., Johnson, C. L., & Leahy, C. K. (1990) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/51.5.902 · Cited by 60 · see citing works
Self-citationElia, M. (1992) · Clinical Nutrition · doi:10.1016/0261-5614(92)90071-w · Cited by 58 · see citing works
Fat distribution, androgens, and metabolism in nonobese women
Seidell, J. C., CIGOLINI, M., Deurenberg, P., Oosterlee, A., & Doornbos, G. (1989) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/50.2.269 · Cited by 47 · see citing works
Determination of total body water by deuterium NMR
Khaled, M. A., Lukaski, H. C., & Watkins, C. L. (1987) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/45.1.1 · Cited by 42 · see citing works
Conlisk, E., Haas, J., Martinez, E., Flores, R., Rivera, J., & Martorell, R. (1992) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/55.6.1051 · Cited by 40 · see citing works
Is the bioelectrical impedance method suitable for epidemiological field studies?
Deurenberg, P., Smit, H. E., & Kusters, C. S. (1989) · PubMed · Cited by 38 · see citing works
Morrison, J. A., Khoury, P. R., Campaigne, B. N., Chumlea, W. M. C., SPECKER, B. L., Campaign, B. N., & Guo, S. S. (1994) · American Journal of Human Biology · doi:10.1002/ajhb.1310060409 · Cited by 30 · see citing works
Self-citationBioelectric impedance methods for the estimation of body composition.
Chumlea, W. C., & Baumgartner, R. (1990) · PubMed · Cited by 27 · see citing works
Self-citationAcronym for dual-energy x-ray absorptiometry.
Cr, W., Collier, B. D., Carrera, G. F., & Jacobson, D. R. (1990) · Radiology · doi:10.1148/radiology.176.3.2389053 · Cited by 24 · see citing works
Acronym for Dual-Energy X-ray Absorptiometry
Wilson, C. R., Collier, B. D., Gf, C., & Jacobson, D. R. (1990) · Radiology · doi:10.1148/radiology.176.3.875-a · Cited by 24 · see citing works
Body composition by bioelectric impedance and densitometry in black women
Sparling, P. B., Millard‐Stafford, M., Rosskopf, L. B., Dicarlo, L. J., & Hinson, B. T. (1993) · American Journal of Human Biology · doi:10.1002/ajhb.1310050115 · Cited by 23 · see citing works
Prediction of Lean Body Mass in Young Boys from Skinfold Thickness and Body Weight
Lohman, T. G., Boileau, R. A., & Massey, B. H. (2020) · Human Biology · Cited by 23 · see citing works
Total body water in congestive heart failure. A pre and post treatment study.
Subramanyan, R., Sc, M., Nyboer, J., & Bhatia, M. L. (1980) · PubMed · Cited by 21 · see citing works
Body composition in relation to muscle strength and range of joint motion.
Laubach, L. L. (1969) · PubMed · Cited by 13 · see citing works
Body composition and sexual maturation in premenarcheal athletes and nonathletes
Plowman, S. A., LIU, N. Y., & Wells, C. L. (1991) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199101000-00005 · Cited by 12 · see citing works
Renk, C. M., Breltlow, L. V., & Sander, E. (1986) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-198604001-00153 · Cited by 1 · see citing works
Flagged first, then by citations
2 of the 50 references couldn’t be matched to a known paper.
Cited by
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Use of statistical methods to estimate body composition
Guo, S., Chumlea, W., & Cockram, D. (1996) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/64.3.428s · Cited by 99 · see citing works
Self-citationDeterminants of resting energy expenditure in young black girls and young white girls
Morrison, J. A., Alfaro, M. P., Khoury, P. R., Thornton, B. B., & Daniels, S. R. (1996) · The Journal of Pediatrics · doi:10.1016/s0022-3476(96)70142-7 · Cited by 90 · see citing works
Self-citationCampa, F., Coratella, G., Cerullo, G., Noriega, Z., Francisco, R., Charrier, D., Irurtia, A., Lukaski, H., Silva, A. M., & Paoli, A. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-05272-x · Cited by 80 · see citing works
“Concerning foot-to-hand technology, four equations are suitable only for females [55, 76], while eight are suitable for both sexes [37, 58, 59, 72, 73, 75, 100].”
BackgroundMethodResultInfluentialBrantlov, S., Jødal, L., Lange, A., Rittig, S., & Ward, L. C. (2017) · Journal of Medical Engineering & Technology · doi:10.1080/03091902.2017.1333165 · Cited by 73 · see citing works
Nutritional Status Outcomes for Children
Bronner, Y. L. (1996) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(96)00242-8 · Cited by 59 · see citing works
Nielsen, B. M., Dencker, M., Ward, L., Linden, C., Thorsson, O., Karlsson, M. K., & Heitmann, B. L. (2007) · Diabetes, Obesity and Metabolism · doi:10.1111/j.1463-1326.2006.00634.x · Cited by 54 · see citing works
Morrison, J. A., BARTON, B. A., Obarzanek, E., Crawford, P. B., Guo, S. S., & Schreiber, G. B. (2001) · Obesity Research · doi:10.1038/oby.2001.37 · Cited by 43 · see citing works
Self-citationLewy, V. D., Danadian, K., & Arslanian, S. A. (1999) · Journal of Pediatric Endocrinology and Metabolism · doi:10.1515/jpem.1999.12.3.443 · Cited by 32 · see citing works
Morrison, J. A., Khoury, P. R., Campaigne, B. N., Chumlea, W. M. C., SPECKER, B. L., Campaign, B. N., & Guo, S. S. (1994) · American Journal of Human Biology · doi:10.1002/ajhb.1310060409 · Cited by 30 · see citing works
Self-citationCardiovascular disease risk factors and body composition: A review
Guo, S. S., Salisbury, S. R., Roche, A. F., Chumlea, W. C., & Siervogel, R. M. (1994) · Nutrition Research · doi:10.1016/s0271-5317(05)80327-6 · Cited by 22 · see citing works
Self-citationMorrison, J. A., Glueck, C. J., & Wang, P. (2009) · Metabolism · doi:10.1016/j.metabol.2009.09.016 · Cited by 18 · see citing works
Self-citationWoollett, L. A., Urbina, E. M., & Woo, J. G. (2021) · Journal of clinical lipidology · doi:10.1016/j.jacl.2021.03.004 · Cited by 10 · see citing works
Mueller, W. H., Chan, W., & Meininger, J. C. (2003) · Annals of Human Biology · doi:10.1080/03014460310001616473 · Cited by 9 · see citing works
Anthropometric reference values in an Afro‐Caribbean adolescent population
Nichols, S., & Cadogan, F. (2007) · American Journal of Human Biology · doi:10.1002/ajhb.20671 · Cited by 8 · see citing works
Bhadra, M., Mukhopadhyay, A., & Bose, K. (2005) · Anthropological Science · doi:10.1537/ase.040505 · Cited by 6 · see citing works
Height, Weight, and Body Mass Index in Childhood
Williams, C. L., & Horlick, M. N. B. (2007) · CRC Press eBooks · doi:10.1201/9781420008890-38
Height, Weight, and Body Mass Index in Childhood
Horlick, M. N. B., & Williams, C. L. (2007) · CRC Press eBooks · doi:10.1201/9781420008890.ch33
Campa, F., Coratella, G., Cerullo, G., Noriega, Z., Francisco, R., Charrier, D., Irurtia, A., Lukaski, H. C., Silva, A. M., & Paoli, A. (2024) · Figshare · doi:10.6084/m9.figshare.26727262
Assessing the body composition of 6–17‐year‐old black and white girls in field studies
Morrison, J. A., Guo, S. S., Specker, B., Chumlea, W. C., Yanovski, S. Z., & Yanovski, J. A. (2001) · American Journal of Human Biology · doi:10.1002/1520-6300(200102/03)13:2%3c249::aid-ajhb1035%3e3.0.co;2-6
Self-citationMorrison, J. A., Guo, S. S., Specker, B., Chumlea, W. C., Yanovski, S. Z., & Yanovski, J. A. (2001) · American Journal of Human Biology · doi:10.1002/1520-6300(200102/03)13:2
Self-citation
- Authors
- Guo, S. S., Khoury, P. R., Specker, B., Heubi, J., Chumlea, W. C., Siervogel, R. M., & Morrison, J. A.
- Affiliations
- Wright State University (US)
- Cincinnati Children's Hospital Medical Center (US)
- Corresponding author
- Morrison, John A.
- Venue
- American Journal of Human Biology
- Publisher
- Wiley
- Published
- 1993-01
- Volume
- 5
- Issue
- 6
- Pages
- 735-745
- ISSN
- 1042-0533 (ISSN-L)
- 1520-6300
- OpenAlex
- W2100787877
- Cited by
- 20
- References
- 50
- Citations by year
- 2024: 2 · 2021: 1 · 2017: 1 · 2012: 1
- FWCI
- 1.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Human Biology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Human Health and Disease
- Keywords
- fat-free mass, anthropometry, bioimpedance, preadolescent girls, adolescent girls, racial differences, prediction equations, skinfold thickness, dual-energy X-ray absorptiometry, body composition, body fat percentage
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