The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Validation of tetrapolar bioelectrical impedance method to assess human body composition
Abstract
This study was conducted to validate the relationship between bioelectrical conductance (ht2/R) and densitometrically determined fat-free mass, and to compare the prediction errors of body fatness derived from the tetrapolar impedance method and skinfold thicknesses, relative to hydrodensitometry. One-hundred and fourteen male and female subjects, aged 18–50 yr, with a wide range of fat-free mass (34–96 kg) and percent body fat (4–41%), participated. For males, densitometrically determined fat-free mass was correlated highly (r = 0.979), with fat-free mass predicted from tetrapolar conductance measures using an equation developed for males in a previous study. For females, the correlation between measured fat-free mass and values predicted from the combined (previous and present male data) equation for men also was strong (r = 0.954). The regression coefficients in the male and female regression equations were not significantly different. Relative to hydrodensitometry, the impedance method had a lower predictive error or standard error of the estimates of estimating body fatness than did a standard anthropometric technique (2.7 vs. 3.9%). Therefore this study establishes the validity and reliability of the tetrapolar impedance method for use in assessment of body composition in healthy humans.
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In the citing paper
“The BIA equation developed in this study (R2 = 0.97; SRMSE= 1.99) was similar to or better than those obtained with other equations designed with comparable sample sizes, such as that of Lukasky (84 males; 67 females) [27] based on hydrodensitometry (R2 = 0.96; SEE = 3.06), or of Baumgartner (35 males; 63 females)[28] based on a four compartment model (R2 = 0.91; SEE = 2.47).”
In the citing paper
“The body composition variables selected in the final model of this study have been reported as the best predictors in BIA equations designed to estimate FFM [25-27].”
In the citing paper
“The explanation for this could be that limb length and body weight are positively related to resistance, which is the main predictor of FFM estimated with BIA [27].”
In the citing paper
“There is limited information available regarding EQ3 development sample.The subjects ranged in age from 19 to 50 years, and the mean FFM was 60.2 kg, which was notably higher than our sample (Lukaski et al., 1986).”
From External validation of bioelectrical impedance analysis equations for body composition against dual-energy X-ray absorptiometry in Mexican recreational runners (2025) · cites this paper as Lukaski et al., 1986
In the citing paper
“The Lukaski (22) and Kushner (21) equations provided estimates that were unaffected by the participants' body weight, but only the Lukaski equation ( 22) provided unbiased estimates.”
From Comparison of Body Composition Methods in Obese African‐American Women (2006) · cites this paper as [22]
In the citing paper
“Bio-electrical impedance analysis (BIA) is used in population and clinical studies as a technique for estimating body composition.”
From Prediction of fat-free mass using bioelectrical impedance analysis in young adults from five populations of African origin (2013) · cites this paper as [3]
In the citing paper
“Bioelectrical impedance analysis (BIA) has been used as a less expensive alternative for estimating body composition in both adults and children (3).”
From Prediction of fat-free mass using bioelectrical impedance analysis in young adults from five populations of African origin (2013) · cites this paper as [3]
In the citing paper
“The BIA 101 Akern is a valid and reliable alternative to dual-energy X-ray absorptiometry (DXA) for the assessment of body composition and has been used in various other studies [7,52–54].”
From How reliable is the labeling of a commercial phytosteroid product? A 12-week randomized double-blind training study (2025) · cites this paper as [53]
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“It has been shown that BIA overestimates fat mass in case of reduction in extracellular volume [41].”
Mavros, Y., Kay, S., Anderberg, K. A., Baker, M. K., Wang, Y., Zhao, R., Meiklejohn, J., Climstein, M., O’Sullivan, A., de Vos, N., et al. (2013) · Diabetes Care · doi:10.2337/dc12-2196 · Cited by 118
“FM and SkMM were determined using bioelectrical impedance analysis (BIA) (RJL Systems, Clinton, MI) (8,9).”
MethodHammarstedt, A., Sopasakis, V. R., Gogg, S., Jansson, P., & Smith, U. (2004) · Diabetologia · doi:10.1007/s00125-004-1612-3 · Cited by 119
Binge eating disorder: Reliability and validity of a new diagnostic category.
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Body size and composition and colon cancer risk in women
MacInnis, R. J., English, D. R., Hopper, J. L., Gertig, D. M., Haydon, A. M., & Giles, G. G. (2005) · International Journal of Cancer · doi:10.1002/ijc.21508 · Cited by 116
Determinants of thyroid volume as measured by ultrasonography in healthy adults randomly selected
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“Body composition was determined by a bioelectrical impedance analyser using formula provided by the manufacturers (Holtain BC Analyser, London, UK) (Lukaski et al., 1986).”
MethodLindmark, S., Wiklund, U., Bjerle, P., & Eriksson, J. W. (2003) · Diabetic Medicine · doi:10.1046/j.1464-5491.2003.00920.x · Cited by 113
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Liu, P. Y., Wishart, S. M., & Handelsman, D. J. (2002) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.87.7.8630 · Cited by 112
Comparison of Body Composition Analysis Methods in Clinical Routine
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“Body composition measurements Fat-free mass (FFM) was assessed by bioelectric impedance analysis (BIA), performed in the early morning after an overnight fast, according to a conventional standard technique (Lukaski et al. 1986).”
MethodMacor, C., Ruggeri, A., Mazzonetto, P., Federspil, G., Cobelli, C., & Vettor, R. (1997) · Metabolism · doi:10.1016/s0026-0495(97)90288-2 · Cited by 109
The regulation of adipose tissue and muscle lipoprotein lipase in runners by detraining.
Simsolo, R. B., Ong, J. M., & Kern, P. A. (1993) · Journal of Clinical Investigation · doi:10.1172/jci116813 · Cited by 109
“In a subgroup of the study subjects, body composition was also measured by bioelectrical impedance (9, 10), which would be expected to detect a 3% change in lean body mass (9).”
MethodKriengsinyos, W., Wykes, L., Ball, R. O., & Pencharz, P. B. (2002) · Journal of Nutrition · doi:10.1093/jn/132.8.2251 · Cited by 106
Riazi, R., Wykes, L., Ball, R. O., & Pencharz, P. B. (2003) · Journal of Nutrition · doi:10.1093/jn/133.5.1383 · Cited by 105
“3 Lean body mass determined from bioelectrical impedance analysis (33).”
BackgroundMethodChanges in fat-free mass during weight loss measured by bioelectrical impedance and by densitometry
Deurenberg, P., Weststrate, J. A., & HAUTVAST, J. G. A. J. (1989) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/49.1.33 · Cited by 105
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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
Pereira, M. J., Palming, J., Rizell, M., Aureliano, M., Carvalho, E., Svensson, M. K. E., & Eriksson, J. W. (2012) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2012.01.024 · Cited by 100
“Anthropometric measurements including body composition assessed by bioimpedance were obtained in all subjects (Lukaski et al., 1986).”
Baseline Nutritional Assessment in Advanced Cancer Patients Receiving Palliative Chemotherapy
Slaviero, K. A., Read, J. A., Clarke, S. J., & Rivory, L. P. (2003) · Nutrition and Cancer · doi:10.1207/s15327914nc4602_07 · Cited by 100
“A current of 200 μA was applied and the resistivity detected was used toestimate fat-freemass (FFM), fatmass (FM),andTBW according to the Lukaski algorithm (24), which has been used previously in patients with cancer (including those with cachexia).”
MethodPereira, M. J., Palming, J., Svensson, M. K. E., Rizell, M., Dalenbäck, J., Hammar, M., Fall, T., Sidibeh, C. O., Svensson, P., & Eriksson, J. W. (2014) · Metabolism · doi:10.1016/j.metabol.2014.05.015 · Cited by 101
“Please cite this article as: Pereira MJ, et al, FKBP5 expression in exposure and is associated with insulin resistance, Metabolism measurements, including measurement of body composition with bioimpedance [20], were obtained.”
BackgroundWisse, B. E., Campfield, L. A., Marliss, E. B., Morais, J. A., Tenenbaum, R., & Gougeon, R. (1999) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/70.3.321 · Cited by 96
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Beta-carotene's effects on serum lipoproteins and immunologic indices in humans
Ringer, T., DeLoof, M. J., Winterrowd, G. E., Francom, S., Gaylor, S., Ryan, J., Sanders, M. P. J., & Gs, H. (1991) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/53.3.688 · Cited by 99
Haverkort, E. B., Reijven, P. L. M., Binnekade, J. M., de van der Schueren, M. A. E., Earthman, C. P., Gouma, D. J., & de Haan, R. J. (2014) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2014.203 · Cited by 103
Sarcopenia, Cardiopulmonary Fitness, and Physical Disability in Community-Dwelling Elderly People
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Visceral adiposity as a target for the management of the metabolic syndrome
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Crawford, V., Scheckenbach, R., & Preuss, H. G. (1999) · Diabetes Obesity and Metabolism · doi:10.1046/j.1463-1326.1999.00055.x · Cited by 96
Practical Body Composition Assessment for Children, Adults, and Older Adults
Heyward, V. H. (1998) · International Journal of Sport Nutrition · doi:10.1123/ijsn.8.3.285 · Cited by 96
Using quantitative CT to assess adipose distribution in adult men with acquired hypogonadism.
Katznelson, L. J., Rosenthal, D. I., Rosol, M. S., Anderson, E. J., Hayden, D. L., Schoenfeld, D., & Klibanski, A. (1998) · American Journal of Roentgenology · doi:10.2214/ajr.170.2.9456958 · Cited by 95
“by a research dietitian using BIA (bioelectric impedance analyzer model 101, Body Composition Software; RJL Systems, Clinton Turnpike, MI) [9].”
MethodAdvances in assessing body composition during pregnancy
Most, J., Marlatt, K. L., Altazan, A. D., & Redman, L. M. (2018) · European Journal of Clinical Nutrition · doi:10.1038/s41430-018-0152-8 · Cited by 96
“blem with BIA are fluid shifts throughout the day that can affect BIA measurements more than isotope dilution [58].”
Fjeld, C. R., Freundt-Thurne, J., & Schoeller, D. A. (1990) · Pediatric Research · doi:10.1203/00006450-199001000-00024 · Cited by 95
Sex Differences in Measures of Body Fat and Body Fat Distribution in the Elderly
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“used at the bedside in nonambulatory patients (36).”
MethodDaily energy expenditure by five-year-old children, measured by doubly labeled water
Fontvieille, A. M., Harper, I., Ferraro, R. T., Spraul, M., & Ravussin, É. (1993) · The Journal of Pediatrics · doi:10.1016/s0022-3476(05)81689-0 · Cited by 94
Critical factors and their impact on bioelectrical impedance analysis in children: a review
Brantlov, S., Ward, L. C., Jødal, L., Rittig, S., & Lange, A. (2016) · Journal of Medical Engineering & Technology · doi:10.1080/03091902.2016.1209590 · Cited by 92
“[8,9] Fat-free mass (FFM), fat mass (FM) and percentage of body fat (%BF) can be predicted from TBW since TBW is generally assumed to be a constant fraction of FFM, generally given as 73% (FFM¼ TBW/0.73);[10] knowing total body weight, from scale measurement, fat mass is simply obtained by differences: FM¼ BW FFM.”
BackgroundInfluentialWhole-body impedance cardiography in the measurement of cardiac output
Kööbi, T., Kaukinen, Turjanmaa, V., et al. (1997) · Critical Care Medicine · doi:10.1097/00003246-199705000-00012 · Cited by 93
Postprandial GLP-1, Norepinephrine, and Reactive Hypoglycemia in Dumping Syndrome
Gebhard, B., Holst, J. J., Biegelmayer, C., & Miholic, J. (2001) · Digestive Diseases and Sciences · doi:10.1023/a:1010635131228 · Cited by 92
Lingwood, B. E., van Leeuwen, A.-M. S., Carberry, A. E., Fitzgerald, E. C., Callaway, L. K., Colditz, P. B., & Ward, L. C. (2011) · British Journal Of Nutrition · doi:10.1017/s0007114511004624 · Cited by 92
“Bio-impedance analysis provides reliable estimates of total body water in infants (9–12) and is widely used for the assessment of FFM and body fat in adults (13–15) .”
Mohammed, S. S., Aghdassi, E., Salit, I. E., et al. (2007) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0b013e318074efe3 · Cited by 92
“Body fat was then calculated by subtracting the fat-free mass from the total body weight.(32,34,35) The presence of lipodystrophy was assessed clinically, as described by Carr and colleagues,(36) where patients selfreport peripheral fat wasting (face, arms, buttocks, or legs) or central abdominal fat accumulation by a…”
MethodMavros, Y., Kay, S., Simpson, K. A., Baker, M. K., Wang, Y., Zhao, R. R., Meiklejohn, J., Climstein, M., O'Sullivan, A. J., de Vos, N., et al. (2014) · Journal of Cachexia, Sarcopenia and Muscle · doi:10.1007/s13539-014-0134-1 · Cited by 91
“Lean body mass was determined using the equation from Lukaski et al [9].”
MethodHeart Rate Variability and Disease Characteristics in Patients with COPD
Camillo, C. A., Pitta, F. D. O., Possani, H. V., Barbosa, M. V. R. A., Marques, D. S. D. O., Cavalheri, V., Probst, V. S., & Brunetto, A. F. (2008) · Lung · doi:10.1007/s00408-008-9105-7 · Cited by 91
“[19].”
Kyle, U., Pichard, C., Rochat, T., Slosman, D. O., Fitting, J. W., & Thiébaud, D. (1998) · European Respiratory Journal · doi:10.1183/09031936.98.12040960 · Cited by 88
Body composition changes assessed by bioelectrical impedance measurements
Deurenberg, P., Weststrate, J. A., & van der Kooy, K. (1989) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/49.3.401 · Cited by 91
Degenerative meniscus tears and mobility impairment in women with knee osteoarthritis
Lange, A. K., Fiatarone Singh, M. A., Smith, R. M., Foroughi, N., Baker, M. K., Shnier, R., & Vanwanseele, B. (2007) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2006.11.004 · Cited by 81
Low relative resting metabolic rate and body weight gain in adult Caucasian Italians
Buscemi, S., Verga, S., Caimi, G., & Cerasola, G. (2005) · International Journal of Obesity · doi:10.1038/sj.ijo.0802888 · Cited by 88
Comparison of Four Bioelectrical Impedance Analysis Formulas in Healthy Elderly Subjects
Genton, L., Karsegard, V. L., Kyle, U. G., Hans, D. B., Michel, J., & Pichard, C. (2001) · Gerontology · doi:10.1159/000052821 · Cited by 88
Techniques of Measurement of Body Composition
Brodie, D. A. (1988) · Sports Medicine · doi:10.2165/00007256-198805010-00003 · Cited by 89
The Relationship of Sleep Duration with Obesity and Sarcopenia in Community-Dwelling Older Adults
Chien, M., Wang, L., & Chen, H. (2015) · Gerontology · doi:10.1159/000371847 · Cited by 91
Hansen, R. D., Raja, C., Aslani, A., Smith, R. C., & Allen, B. (1999) · American Journal of Clinical Nutrition · doi:10.1093/ajcn.70.2.228 · Cited by 88
“The BIA output measures were used to derive FFM (FFMBIA) by applying the equation of Lukaski et al (28), and total body water (TBW) by using the equation of Kushner and Schoeller (29).”
MethodRelationship Between Visceral Adiposity and Bone Mineral Density in Korean Adults
Choi, H. S., Kim, K. J., Kim, K. M., Hur, N. W., Rhee, Y., Han, D. S., Lee, E. J., & Lim, S.-K. (2010) · Calcified Tissue International · doi:10.1007/s00223-010-9398-4 · Cited by 92
“Lean mass and fat mass were measured using bioelectrical impedance analysis (BIA), which was demonstrated to be a reliable and valid method for estimating human body composition [16].”
MethodKoda, M., Kawakami, M., Murawaki, Y., & Senda, M. (2007) · Journal of Gastroenterology · doi:10.1007/s00535-007-2107-z · Cited by 87
“A four-surface electrode bioelectrical impedance analysis (BIA) technique was performed using a bioelectrical impedance analyzer (model BIA 101, RJL Systems, Detroit, MI, USA).(12) With electrode tape and conductivity gel, current electrodes (I) were placed on the dorsal surfaces of the right hand and foot at the dist…”
MethodGlomerular filtration rate in severely overweight normotensive humans
Anastasio, P., Spitali, L., Frangiosa, A., Molino, D., Stellato, D., Cirillo, E., Pollastro, R. M., Capodicasa, L., Sepe, J. J., Federico, P., et al. (2000) · American Journal of Kidney Diseases · doi:10.1016/s0272-6386(00)70052-7 · Cited by 86
The metabolic consequences of critical illness: acute effects on glutamine and protein metabolism
Jackson, N. C., Carroll, P., Russell-Jones, D. L., Sönksen, P. H., Treacher, D., & Umpleby, A. M. (1999) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1999.276.1.e163 · Cited by 86
Anthropometric Measures and Body Composition
Willett, W. C., & Hu, F. B. (2012) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199754038.003.0009 · Cited by 87
Body composition measurement in severe obesity
Das, S. K. (2005) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/01.mco.0000171122.60665.5f · Cited by 86
Singh, M. A. F., Singh, N. A., Hansen, R., FINNEGAN, T. P., Allen, B., DIAMOND, T. H., Diwan, A. D., Lloyd, B. D., Williamson, D. A., Smith, E. U. R., et al. (2009) · The Journals of Gerontology Series A · doi:10.1093/gerona/glp002 · Cited by 86
Gender differences in glucoregulatory responses to intense exercise
Marliss, E. B., Kreisman, S. H., Manzon, A., Halter, J. B., Vranić, M., & Nessim, S. J. (2000) · Journal of Applied Physiology · doi:10.1152/jappl.2000.88.2.457 · Cited by 89
“(29) and their equations for young adults.”
Zillikens, M. C., van den Berg, J. W. O., Wilson, J. H. P., & Swart, G. R. (1992) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/55.3.621 · Cited by 86
Age-Related Differences in the Metabolic Response to Injury
Frankenfield, D. C., Cooney, R. N., Smith, J. S., & Rowe, W. A. (2000) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/00005373-200001000-00009 · Cited by 85
DHEA treatment for HIV+ patients: effects on mood, androgenic and anabolic parameters
Rabkin, J. G., Ferrando, S. J., Wagner, G. J., & Rabkin, R. (2000) · Psychoneuroendocrinology · doi:10.1016/s0306-4530(99)00036-0 · Cited by 84
Tsang, T., Orr, R., Lam, P., Comino, E., & Singh, M. F. (2008) · Age and Ageing · doi:10.1093/ageing/afm127 · Cited by 84
“b Fat-free mass and percent body fat estimated by bioelectrical impedance [11] c Number of subjects with ≥ 1 fall in the past year d The Physical Activity Scale for the Elderly was used to monitor habitual physical activity, based on the leisure time, household, and work-related”
Comparing Body Composition Assessment Tests in Long-term Hemodialysis Patients
Bross, R., Chandramohan, G., Kovesdy, C. P., Oreopoulos, A., Noori, N., Golden, S., Benner, D. A., Kopple, J. D., & Kalantar‐Zadeh, K. (2010) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2009.12.031 · Cited by 86
“BIA, a relatively simple and inexpensive field ethod, has been validated in both healthy perons and patients with chronic diseases.(33,47,48) IA can be used to assess fluid status and adquacy of dialysis treatment in patients.”
Management of Lipedema with Ketogenic Diet: 22-Month Follow-Up
Cannataro, R., Michelini, S., Ricolfi, L., Caroleo, M. C., Gallelli, L., Sarro, G. D., Onorato, A., & Cione, E. (2021) · Life · doi:10.3390/life11121402 · Cited by 84
“Bioimpedance Analysis Bioimpedance analysis (BIA) [35,36] was performed with a bioimpedance analyzer (BIA 101 Anniversary, Akern, Florence, Italy) using a phase-sensitive device with an alternating current at a frequency of 50 kHz.”
MethodHsu, J., Johansen, K. L., Hsu, C.-Y., Kaysen, G. A., & Chertow, G. M. (2008) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.00090108 · Cited by 81
“Several reports have indicated BIA to be more precise and accurate in estimating body composition than anthropometry when compared with a “gold standard” such as hydrodensitometry or dual-energy x-ray absorptiometry (39,44).”
Resultda Silva, C. D. C., Zambon, M. P., Vasques, A. C. J., Rodrigues, A. M. D. B., Camilo, D. F., Antonio, M. Â. R. D. G. M., Cassani, R. S. L., & Geloneze, B. (2014) · Revista Paulista de Pediatria · doi:10.1590/0103-0582201432210713 · Cited by 86
“Body fat percentage (BF%) was assessed by tetrapolar bioelectrical impedance((14,15)) using the BIA 310 Bioimpedance Analyzer device, as proposed by Lukaski et al((14)).”
MethodMagni, P., Liuzzi, A., Ruscica, M., Dozio, E., Ferrario, S., Bussi, I., Minocci, A., Castagna, A., Motta, M., & Savia, G. (2005) · Clinical Endocrinology · doi:10.1111/j.1365-2265.2005.02195.x · Cited by 82
Lean body mass as a determinant of thyroid size
Wesche, M. F. T., Wiersinga, W. M., & Smits, N. J. (1998) · Clinical Endocrinology · doi:10.1046/j.1365-2265.1998.00400.x · Cited by 83
Luke, A., Bovet, P., Forrester, T. E., Lambert, E. V., Plange-Rhule, J., Schoeller, D. A., Dugas, L. R., Durazo-Arvizu, R. A., Shoham, D., Cooper, R. S., et al. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-927 · Cited by 82
“electrodes were placed at the pisiform prominence of the right wrist and the anterior surface of the true ankle joint [54].”
Relative influences of sex, race, environment, and HIV infection on body composition in adults
Kotler, D. P., Thea, D. M., Heo, M., et al. (1999) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/69.3.432 · Cited by 82
Kyle, U. G., Morabia, A., Slosman, D. O., Mensi, N., Unger, P., & Pichard, C. (2001) · British Journal Of Nutrition · doi:10.1079/bjn2001470 · Cited by 84
Comparison of different bioelectrical impedance analyzers in the prediction of body composition
GRAVES, J. E., Pollock, M. L., Colvin, A., Loan, M. V., & Lohman, T. G. (1989) · American Journal of Human Biology · doi:10.1002/ajhb.1310010511 · Cited by 83
Ræder, H., Kværner, A. S., Henriksen, C., Florholmen, G., Henriksen, H. B., Bøhn, S. K., Paur, I., Smeland, S., & Blomhoff, R. (2018) · Clinical Nutrition · doi:10.1016/j.clnu.2016.12.028 · Cited by 77
Anthropometry and body composition analysis in children with cerebral palsy
Tomoum, H. Y., Badawy, N. B., Hassan, N. E., & Alian, K. M. (2009) · Clinical Nutrition · doi:10.1016/j.clnu.2009.10.009 · Cited by 82
Gleichauf, C. N., & Roe, D. A. (1989) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/50.5.903 · Cited by 81
Kyle, U. G., Unger, P., Mensi, N., Genton, L., & Pichard, C. (2002) · Nutrition · doi:10.1016/s0899-9007(01)00804-8 · Cited by 82
Leptin concentration in women is influenced by regional distribution of adipose tissue
Bennett, F., McFarlane‐Anderson, N., Wilks, R., Luke, A. H., Cooper, R., & Forrester, T. (1997) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/66.6.1340 · Cited by 80
Campa, 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 93
Self-citationDecreased mechanical efficiency in clinically stable patients with COPD
Baarends, E. M., Schols, A. M. W. J., Akkermans, M. A., & Wouters, E. F. �. (1997) · Thorax · doi:10.1136/thx.52.11.981 · Cited by 80
Quadriceps muscle function characteristics in severely obese and nonobese adolescents
Maffiuletti, N. A., Jubeau, M., Agosti, F., Col, A. D., & Sartório, A. (2008) · European Journal of Applied Physiology · doi:10.1007/s00421-008-0737-3 · Cited by 80
“Bioelectric impedance analysis was performed in the early morning after an overnight fast, according to a conventional standard technique (Lukaski et al. 1986).”
MethodBody mass index and skinfold thickness versus bioimpedance analysis: fat mass prediction in children
Pecoraro, P., Guida, B., Caroli, M., Trio, R., Falconi, C., Principato, S., & Pietrobelli, A. (2003) · Acta Diabetologica · doi:10.1007/s00592-003-0086-y · Cited by 79
Low Plasma Leptin Concentration and Low Rates of Fat Oxidation in Weight‐Stable Post‐Obese Subjects
FILOZOF, C. M., Murúa, C., Sanchez, M. P., Brailovsky, C., Perman, M., González, C. D., & Ravussin, É. (2000) · Obesity Research · doi:10.1038/oby.2000.23 · Cited by 78
Nutrition Risk Factors for Survival in the Elderly Living in Canadian Long‐Term Care Facilities
Allard, J. P., Aghdassi, E., McArthur, M., McGeer, A., Simor, A. E., Abdolell, M., Stephens, D., & Liu, B. (2003) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2004.52011.x · Cited by 78
Assessment of nutritional status and fluid deficits in advanced cancer
Sarhill, N., Mahmoud, F. A., Christie, R., & Tahir, A. (2003) · American Journal of Hospice and Palliative Medicine® · doi:10.1177/104990910302000610 · Cited by 75
Pereira, M. J., Palming, J., Rizell, M., Aureliano, M., Carvalho, E., Svensson, M. K. E., & Eriksson, J. W. (2012) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2012.10.030 · Cited by 78
“Anthropometric measurements including body composition, assessed by bioimpedance, were measured in all subjects (Lukaski et al., 1986).”
Method
Metadata
- Authors
- Lukaski, H. C., Bolonchuk, W. W., Hall, C. B., & Siders, W. A.
- ORCID
- Lukaski, H. C.
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 1986-04-01
- Volume
- 60
- Issue
- 4
- Pages
- 1327-1332
- ISSN
- 0161-7567 (ISSN-L)
- 8750-7587
- 1522-1601
- OpenAlex
- W2103844937
- Cited by
- 1,370
- References
- 23
- Citations by year
- 2026: 25 · 2025: 29 · 2024: 24 · 2023: 38 · 2022: 54 · 2021: 35 · 2020: 44 · 2019: 35 · 2018: 39 · 2017: 34 · 2016: 34 · 2015: 40 · 2014: 48 · 2013: 28 · 2012: 38
- FWCI
- 10.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Applied Physiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Bioimpedance Tomography
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- body composition, fat-free mass, body fat percentage, hydrodensitometry, skinfold thickness, prediction error, anthropometry, method validation
- MeSH terms
- Adult, Anthropometry, Body Composition, Densitometry, Electric Conductivity, Evaluation Studies as Topic, Female, Humans, Male, Middle Aged, Skinfold Thickness
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