Cited by 575Body Composition Measurement TechniquesElectrical and Bioimpedance TomographyNutrition and Health in Aging

The DOI matches its Crossref record; 37 of the 42 references it cites were found in a registry or an index.

Single prediction equation for bioelectrical impedance analysis in adults aged 20–94 years

Kyle, Ursula G, Genton, Laurence, Karsegard, Laurie, Slosman, Daniel O, Pichard, Claude·2001·Nutrition

Open this paper in CoChat — free account

Abstract

Existing equations for bioelectrical impedance analysis (BIA) are of limited use when subjects age or become overweight because these equations were developed in young, normal-weight subjects and are not valid in elderly or overweight people. The purpose of this study was to validate a single BIA equation in healthy white subjects aged 22--94 y with a body mass index between 17.0 and 33.8 kg/m(2). Healthy subjects (202 men and 141 women) aged 20--94 y were measured by two methods: fat-free mass (FFM) was measured by dual-energy x-ray absorptiometry (Hologic QDR-4500) and by a bioelectrical impedance analyzer (Xitron 4000B). Validity of BIA was assessed by double cross validation. Because correlations were high (r = 0.986--0.987) and prediction errors low, a single equation was developed using all subjects, as follows: 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). FFM predicted with dual-energy x-ray absorptiometry was 54.0 +/- 10.7 kg. BIA-predicted FFM was 54.0 +/- 10.5 kg (r = 0.986, standard error of the estimate = 1.72 kg, technical error = 1.74 kg). In conclusion, the new Geneva BIA equation was valid for prediction of FFM in healthy adults aged 22--94 y with body mass indexes between 17.0 and 33.8 kg/m(2). Inclusion of reactance in the single prediction equation appeared to be essential for use of BIA equations in populations with large variations in age or body mass.

Integrity signals

Registry

Crossref · 10.1016/s0899-9007(00)00553-0

Cites

37 of 37 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Multiple regression in behavioral research
Kerlinger, F. N., & Pedhazur, E. J. (1973) · Medical Entomology and Zoology · Cited by 4,919
Assessment of fat-free mass using bioelectrical impedance measurements of the human body
Lukaski, H., Johnson, P., Bolonchuk, W., & Lykken, G. (1985) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/41.4.810 · Cited by 1,896
Dual-energy x-ray absorptiometry for total-body and regional bone-mineral and soft-tissue composition
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
Validation of tetrapolar bioelectrical impedance method to assess human body composition
Lukaski, H. C., Bolonchuk, W. W., Hall, C. B., & Siders, W. A. (1986) · Journal of Applied Physiology · doi:10.1152/jappl.1986.60.4.1327 · Cited by 1,370
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
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
Age-related differences in fat-free mass, skeletal muscle, body cell mass and fat mass between 18 and 94 years
Kyle, U., Genton, L., Hans, D., Karsegard, L., Slosman, D., & Pichard, C. (2001) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1601198 · Cited by 442
Self-citation
Four-component model for the assessment of body composition in humans: comparison with alternative methods, and evaluation of the density and hydration of fat-free mass
Fuller, N. J., Jebb, S. A., Laskey, M. A., Coward, W. A., & Elia, M. (1992) · Clinical Science · doi:10.1042/cs0820687 · Cited by 394
Is the Impedance index (ht2/R) significant in predicting total body water?
Kushner, R., Schoeller, D., Fjeld, C., & Danford, L. (1992) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/56.5.835 · Cited by 374

Show all 42 references

Research works printed but not linked: 4

Deurenberg, 1991, Sex and age specific prediction formulas for estimating body composition from bioelectrical impedance, Int J Obes, 15, 17
Blake, 1996, New generation dual x-ray absorptiometry scanners increase dose to patients and staff, J Bone Mineral Res, 11, S157
Heitmann, 1990, Prediction of body water and fat in adult Danes from measurement of electrical impedance. A validation study, Int J Obes, 14, 789
Kyle UG, Genton L, Karsegard L, et al. Cross-sectional changes in fat-free mass, skeletal muscle, body cell mass and fat mass between 18–94 yrs. Eur J Clin Nutr (in press)

Sorted by citations

Sarcopenia: European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Baeyens, J. P., Bauer, J. M., Boirie, Y., Cederholm, T., Landi, F., Martin, F. C., Michel, J.-P., Rolland, Y., Schneider, S. M., et al. (2010) · Age and Ageing · doi:10.1093/ageing/afq034 · Cited by 11,601
“Prediction equations have been validated for multiethnic adults [36] and reference values established for adult white men and women, including older subjects [37–39].”
Background
Bioelectrical impedance analysis?part I: review of principles and methods
KYLE, U. (2004) · Clinical Nutrition · doi:10.1016/j.clnu.2004.06.004 · Cited by 3,200
Self-citation
Bioelectrical impedance analysis—part II: utilization in clinical practice
Kyle, U. G., Bosaeus, I., De Lorenzo, A. D., Deurenberg, P., Elia, M., Manuel Gómez, J., Lilienthal Heitmann, B., Kent-Smith, L., Melchior, J.-C., Pirlich, M., et al. (2004) · Clinical Nutrition · doi:10.1016/j.clnu.2004.09.012 · Cited by 2,350
“BIA has been shown to be valid with BMIs to 34 kg/m(2).(24,43) In morbid obesity, most predictive equations are unable to predict static body composition and are not reproducible for individuals over time.”
BackgroundSelf-citation
Quantification of Lean Bodyweight
Janmahasatian, S., Duffull, S. B., Ash, S., Ward, L. C., Byrne, N. M., & Green, B. (2005) · Clinical Pharmacokinetics · doi:10.2165/00003088-200544100-00004 · Cited by 902
The theory and fundamentals of bioimpedance analysis in clinical status monitoring and diagnosis of diseases.
Khalil, S., Mohktar, M., & Ibrahim, F. (2014) · Sensors · doi:10.3390/s140610895 · Cited by 712
“Several studies were conducted using the BIA method on children [68,105] adults [13], and elders [106,107].”
BackgroundMethodInfluential
Fat-free mass index and fat mass index percentiles in Caucasians aged 18–98 y
Schutz, Y., Kyle, U. G., & Pichard, C. (2002) · International Journal of Obesity · doi:10.1038/sj.ijo.0802037 · Cited by 691
Self-citation
Is bioelectrical impedance accurate for use in large epidemiological studies?
Dehghan, M., & Merchant, A. T. (2008) · Nutrition Journal · doi:10.1186/1475-2891-7-26 · Cited by 506
“, (2001) indicated that Japanese men and women had 10–12% higher body fat than Swiss men and women [55].”
Background
Body composition interpretation
Kyle, U. G., Schutz, Y., Dupertuis, Y. M., & Pichard, C. (2003) · Nutrition · doi:10.1016/s0899-9007(03)00061-3 · Cited by 456
Self-citation
Fat-free and fat mass percentiles in 5225 healthy subjects aged 15 to 98 years
Kyle, U. G., Genton, L., Slosman, D. O., & Pichard, C. (2001) · Nutrition · doi:10.1016/s0899-9007(01)00555-x · Cited by 444
Self-citation
Electrical impedance spectroscopy (EIS) for biological analysis and food characterization: a review
Grossi, M., & Riccò, B. (2017) · Journal of sensors and sensor systems · doi:10.5194/jsss-6-303-2017 · Cited by 395
“For example, Kyle et al. (2011) proposed a single equation to predict FFM in subjects from 22 to 94 years old as function of resistance and reactance measured at 50 kHz, height, weight and gender.”
Background
Nutritional assessment: Lean body mass depletion at hospital admission is associated with an increased length of stay
Pichard, C., Kyle, U. G., Morabia, A., Perrier, A., Vermeulen, B., & Unger, P. (2004) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/79.4.613 · Cited by 392
“Body composition was determined by bioelectrical impedance analysis (BIA) as previously described (19) with the use of a 50-kHz generator (RJL-101 analyzers; RJL Systems Inc, Clinton Township, MI) (20).”
BackgroundMethodInfluentialSelf-citation
Comparison of tools for nutritional assessment and screening at hospital admission: A population study
Kyle, U. G., Kossovsky, M. P., Karsegard, V. L., & Pichard, C. (2005) · Clinical Nutrition · doi:10.1016/j.clnu.2005.11.001 · Cited by 381
Self-citation
Prevalence and Risk Factors of Sarcopenia Among Nursing Home Older Residents
Landi, F., Liperoti, R., Fusco, D., Mastropaolo, S., Quattrociocchi, D., Proia, A. S., Russo, A., Bernabei, R., & Onder, G. (2011) · The Journals of Gerontology Series A · doi:10.1093/gerona/glr035 · Cited by 357
Cross-calibration of eight-polar bioelectrical impedance analysis versus dual-energy X-ray absorptiometry for the assessment of total and appendicular body composition in healthy subjects aged 21-82 years
Malavolti, M., Mussi, C., Poli, M., Fantuzzi, A. L., Salvioli, G., Battistini, N., & Bedogni, G. (2003) · Annals of Human Biology · doi:10.1080/0301446031000095211 · Cited by 344
Measurement of lean body mass using bioelectrical impedance analysis: a consideration of the pros and cons.
Sergi, G., De Rui, M., Stubbs, B., Veronese, N., & Manzato, E. (2017) · Aging Clinical and Experimental Research · doi:10.1007/s40520-016-0622-6 · Cited by 291
Comparison of body composition and periodontal disease using nutritional assessment techniques: Third National Health and Nutrition Examination Survey (NHANES III)
Wood, N., Johnson, R. B., & Streckfus, C. F. (2003) · Journal Of Clinical Periodontology · doi:10.1034/j.1600-051x.2003.00353.x · Cited by 283
Obesity subtypes, related biomarkers & heterogeneity
Mayoral, L. P.-C., Andrade, G. M., Mayoral, E. P.-C., Hernández‐Huerta, M. T., Canseco, S. P., Canales, F. J. R., Cabrera-Fuentes, H. A., Cruz, M. M., Pérez-Santiago, A. D., Alpuche, J. J., et al. (2020) · The Indian Journal of Medical Research · doi:10.4103/ijmr.ijmr_1768_17 · Cited by 313
Body composition: Why, when and for who?
Thibault, R., Genton, L., & Pichard, C. (2012) · Clinical Nutrition · doi:10.1016/j.clnu.2011.12.011 · Cited by 266
Self-citation
Validation of a bioelectrical impedance analysis equation to predict appendicular skeletal muscle mass (ASMM)
Kyle, U. G., Genton, L., Hans, D., & Pichard, C. (2003) · Clinical Nutrition · doi:10.1016/s0261-5614(03)00048-7 · Cited by 248
Self-citation
Body Composition Tools for Assessment of Adult Malnutrition at the Bedside
Earthman, C. P. (2015) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607115595227 · Cited by 246
The role of DXA in sarcopenia
Guglielmi, G., Ponti, F., Agostini, M., Amadori, M., Battista, G., & Bazzocchi, A. (2016) · Aging Clinical and Experimental Research · doi:10.1007/s40520-016-0589-3 · Cited by 243
Increased length of hospital stay in underweight and overweight patients at hospital admission: a controlled population study
Kyle, U. G., Pirlich, M., Lochs, H. H., Schuetz, T., & Pichard, C. (2005) · Clinical Nutrition · doi:10.1016/j.clnu.2004.08.012 · Cited by 210
Self-citation
Prevalence and overlap of sarcopenia, frailty, cachexia and malnutrition in older medical inpatients
Gingrich, A., Volkert, D., Kiesswetter, E., Thomanek, M., Bach, S., Sieber, C., & Zopf, Y. (2019) · BMC Geriatrics · doi:10.1186/s12877-019-1115-1 · Cited by 189
“[27] and divided by height squared to obtain the fat free mass index (FFMI).”
Method
Analysis of Body Composition: A Critical Review of the Use of Bioelectrical Impedance Analysis
Mialich, M. S., Sicchieri, J. M. F., & Jordão, A. A. (2014) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · doi:10.12691/ijcn-2-1-1 · Cited by 205
Dietary, Weight, and Psychological Changes among Patients with Obesity, 8 Years after Gastric Bypass
Kruseman, M., Leimgruber, A., Zumbach, F., & Golay, A. (2010) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2009.12.028 · Cited by 200
Sarcopenia in patients undergoing maintenance hemodialysis: incidence rate, risk factors and its effect on survival risk
Ren, H., Gong, D., Jia, F., Xu, B., & Liu, Z. (2016) · Renal Failure · doi:10.3109/0886022x.2015.1132173 · Cited by 204
“FFM are the main indicators reflecting the nutritional status, the lower the PA and FFM are, the higher the FM and FM% are, and the worse the nutritional status is.(22,23) To further evaluate the nutritional status of sarcopenic patients, we once again analyzed the BIA indicators which reflected nutritional status and…”
Result
Is osteoporosis a predictor for future sarcopenia or vice versa? Four-year observations between the second and third ROAD study surveys
Yoshimura, N., Muraki, S., Oka, H., Iidaka, T., Kodama, R., Kawaguchi, H., Nakamura, K., Tanaka, S., & Akune, T. (2016) · Osteoporosis International · doi:10.1007/s00198-016-3823-0 · Cited by 205
Good agreement between bioelectrical impedance and dual-energy X-ray absorptiometry for estimating changes in body composition during weight loss in overweight young women
Thomson, R. L., Brinkworth, G. D., Buckley, J. D., Noakes, M., & Clifton, P. M. (2007) · Clinical Nutrition · doi:10.1016/j.clnu.2007.08.003 · Cited by 199
Oral Nutritional Supplements Containing (n-3) Polyunsaturated Fatty Acids Affect the Nutritional Status of Patients with Stage III Non-Small Cell Lung Cancer during Multimodality Treatment
van der Meij, B. S., Langius, J. A. E., Smit, E. F., Spreeuwenberg, M. D., Blomberg, B. M. E. V., Heijboer, A. C., Paul, M. A., & van Leeuwen, P. A. M. (2010) · Journal of Nutrition · doi:10.3945/jn.110.121202 · Cited by 199
“FFM was calculated from resistance and reactance at the frequency of capacitance by using the Kyle Geneva equation (34).”
Method
Low phase angle determined by bioelectrical impedance analysis is associated with malnutrition and nutritional risk at hospital admission
Kyle, U. G., Genton, L., & Pichard, C. (2012) · Clinical Nutrition · doi:10.1016/j.clnu.2012.08.001 · Cited by 194
Self-citation
The role of fat mass index in determining obesity
Peltz, G., Aguirre, M. T., Sanderson, M., & Fadden, M. K. (2010) · American Journal of Human Biology · doi:10.1002/ajhb.21056 · Cited by 191
“…of the major limitations of this method is that it requires predictive equations for the determination of FFM that are specifically developed for different populations, ethnicities, age groups, and both sexes (Chumlea et al., 2000; Heymsfield et al., 1997; Kyle et al., 2001; Peltz et al., 2007a).”
BackgroundMethodInfluential
The evaluation of body composition: A useful tool for clinical practice
Thibault, R., & Pichard, C. (2012) · Annals of Nutrition and Metabolism · doi:10.1159/000334879 · Cited by 193
Self-citation
Can phase angle determined by bioelectrical impedance analysis assess nutritional risk? A comparison between healthy and hospitalized subjects
Kyle, U. G., Soundar, E. P., Genton, L., & Pichard, C. (2012) · Clinical Nutrition · doi:10.1016/j.clnu.2012.04.002 · Cited by 187
Self-citation
Comparison of Three Bioelectrical Impedance Methods with DXA in Overweight and Obese Men
Pateyjohns, I. R., Brinkworth, G. D., Buckley, J. D., Noakes, M., & Clifton, P. M. (2006) · Obesity · doi:10.1038/oby.2006.241 · Cited by 187
Management of acute intestinal failure: A position paper from the European Society for Clinical Nutrition and Metabolism (ESPEN) Special Interest Group
Klek, S., Forbes, A., Gabe, S., Holst, M., Wanten, G., Irtun, Ø., Damink, S. O., Panisic-Sekeljic, M., Pelaez, R. B., Pironi, L., et al. (2016) · Clinical Nutrition · doi:10.1016/j.clnu.2016.04.009 · Cited by 180
Dose-dependent positive association between cigarette smoking, abdominal obesity and body fat: cross-sectional data from a population-based survey
Clair, C., Chiolero, A., Faeh, D., Cornuz, J., Marques-Vidal, P., Paccaud, F., Mooser, V., Waeber, G., & Vollenweider, P. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-23 · Cited by 177
“The reference we used seemed appropriate for our sample because it was determined in a population similar to ours and the method was validated for older (>65 years) and obese subjects [ 41 ].”
Method
Body composition determination by bioimpedance: an update
Jaffrin, M. Y. (2009) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0b013e32832da22c · Cited by 167
Body Size and Composition and Colon Cancer Risk in Men
MacInnis, R. J., English, D. R., Hopper, J. L., Haydon, A. M., Gertig, D. M., & Giles, G. G. (2004) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.553.13.4 · Cited by 154
Circulating inflammatory miRNA signature in response to different doses of aerobic exercise
de Gonzalo-Calvo, D., Dávalos, A., Montero, A., García-González, Á., Tyshkovska, I., González-Medina, A., Soares, S. M. A., Martínez-Camblor, P., Casas-Agustench, P., Rabadán, M., et al. (2015) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00077.2015 · Cited by 150
Effects of food fortification on nutritional and functional status in frail elderly nursing home residents at risk of malnutrition
Smoliner, C., Norman, K., Scheufele, R., Hartig, W., Pirlich, M., & Lochs, H. H. (2008) · Nutrition · doi:10.1016/j.nut.2008.06.024 · Cited by 148
Prevalence and co-existence of locomotive syndrome, sarcopenia, and frailty: the third survey of Research on Osteoarthritis/Osteoporosis Against Disability (ROAD) study
Yoshimura, N., Muraki, S., Iidaka, T., Oka, H., Horii, C., Kawaguchi, H., Akune, T., Nakamura, K., & Tanaka, S. (2019) · Journal of Bone and Mineral Metabolism · doi:10.1007/s00774-019-01012-0 · Cited by 146
Sedentarism affects body fat mass index and fat-free mass index in adults aged 18 to 98 years
Kyle, U. G., Morabia, A., Schutz, Y., & Pichard, C. (2004) · Nutrition · doi:10.1016/j.nut.2003.11.019 · Cited by 142
Self-citation
Hyperadiponectinaemia in anorexia nervosa
Delporte, M., Brichard, S. M., Hermans, M. P., Beguin, C., & Lambert, M. (2003) · Clinical Endocrinology · doi:10.1046/j.1365-2265.2003.01702.x · Cited by 136
Estimation of body fatness from body mass index and bioelectrical impedance: comparison of New Zealand European, Maori and Pacific Island children
Rush, E. C., Puniani, K., Valencia, M. E., Davies, P. S. W., & Plank, L. D. (2003) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1601701 · Cited by 134
“…since it is known that body geometry may affect the electrical properties of the body (Ward et al, 2000) and that relative leg length may vary between different populations (Norgan, 1995) and may be dependent on factors affecting early childhood growth (Davey Smith et al, 2001; Leitch, 2001).”
Background
Exercise habits during middle age are associated with lower prevalence of sarcopenia: the ROAD study
Akune, T., Muraki, S., Oka, H., Tanaka, S., Kawaguchi, H., Nakamura, K., & Yoshimura, N. (2013) · Osteoporosis International · doi:10.1007/s00198-013-2550-z · Cited by 139
“Skeletal muscle mass was measured by bioimpedance analysis [21–25] using the Body Composition Analyzer MC190 (Tanita Corp.”
Method
New Reference Values for Body Composition by Bioelectrical Impedance Analysis in the General Population: Results From the UK Biobank
Franssen, F. M. E., Rutten, E. P. A., Groenen, M. T. J., Vanfleteren, L. E. G. W., Wouters, E. F. �., & Spruit, M. A. (2014) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2014.03.012 · Cited by 138
Body composition and wages
Wada, R., & Tekin, E. (2010) · Economics & Human Biology · doi:10.1016/j.ehb.2010.02.001 · Cited by 122
Quadriceps muscle strength, radiographic knee osteoarthritis and knee pain: the ROAD study
Muraki, S., Akune, T., Teraguchi, M., Kagotani, R., Asai, Y., Yoshida, M., Tokimura, F., Tanaka, S., Oka, H., Kawaguchi, H., et al. (2015) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-015-0737-5 · Cited by 122
“Lower limb muscle mass was measured by bioimpedance analysis [21–24] using the Body Composition Analyzer MC-190 (Tanita Corp.”
Method
Validity and Reliability of Bioelectrical Impedance Analysis and Skinfold Thickness in Predicting Body Fat in Military Personnel
Aandstad, A., Holtberget, K., Hageberg, R., Holme, I., & Anderssen, S. A. (2014) · Military Medicine · doi:10.7205/milmed-d-12-00545 · Cited by 125
Prevalence of malnutrition in 1760 patients at hospital admission: a controlled population study of body composition
Kyle, U. G., Pirlich, M., Schuetz, T., Luebke, H. J., Lochs, H. H., & Pichard, C. (2003) · Clinical Nutrition · doi:10.1016/s0261-5614(03)00049-9 · Cited by 126
“FFM was calculated using a previously validated multiple regression BIA equation (30): FFM= 4.”
BackgroundMethodInfluentialSelf-citation
The centenary of the Harris–Benedict equations: How to assess energy requirements best? Recommendations from the ESPEN expert group
Bendavid, I., Lobo, D. N., Barazzoni, R., Cederholm, T., Coëffier, M., de van der Schueren, M. A. E., Fontaine, E. M., Hiesmayr, M., Laviano, A., Pichard, C., et al. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2020.11.012 · Cited by 121
Self-citation
Smoking status and tumor necrosis factor-alpha mediated systemic inflammation in COPD patients
Tanni, S. É., Pelegrino, N. R. G., Angeleli, A. Y. O., Corrêa, C. R., & Godoy, I. (2010) · Journal of Inflammation · doi:10.1186/1476-9255-7-29 · Cited by 116
“Fat-free mass (FFM), in kg, was estimated using bioelectrical impedance analysis (BIA 101, RJL systems, Detroit, MI, USA) according to European Society Parenteral Enteral Nutrition guidelines [19] using specific equations for COPD patients and healthy controls [20, 21 ].”
Method
Inverse relationship between “a body shape index” (ABSI) and fat-free mass in women and men: insights into mechanisms of sarcopenic obesity
Biolo, G., Di Girolamo, F. G., Breglia, A., Chiuc, M., Baglio, V., Vinci, P., Toigo, G., Lucchin, L., Jurdana, M., Pražnikar, Z. J., et al. (2015) · Clinical Nutrition · doi:10.1016/j.clnu.2014.03.015 · Cited by 113
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
Body Fat Free Mass Is Associated with the Serum Metabolite Profile in a Population-Based Study
Jourdan, C., Petersen, A.-K., Gieger, C., Döring, A., Illig, T., Wang‐Sattler, R., Meisinger, C., Peters, A., Adamski, J., Prehn, C. P., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040009 · Cited by 107
“Fat free mass, fat mass, and the appendicular skeletal muscle mass were then calculated by means of Kyle’s equations [18,19] on which the following indices are based: FFMI (fat free mass in kg/(height in m)(2)), body fat mass index (body fat mass in kg/(height in m)(2)) and the appendicular skeletal muscle mass index…”
Method
The prevalence of malnutrition according to the new ESPEN definition in four diverse populations
Rojer, A. G. M., Kruizenga, H. M., Trappenburg, M. C., Reijnierse, E. M., Sipilä, S., Narici, M. V., Hogrel, J., Butler-Browne, G. S., McPhee, J. S., Pääsuke, M., et al. (2015) · Clinical Nutrition · doi:10.1016/j.clnu.2015.06.005 · Cited by 102
Prevalence of sarcopenia among healthy ambulatory subjects: the sarcopenia begins from 45 years
Cherin, P., Voronska, E., Fraoucene, N., & de Jaeger, C. (2013) · Aging Clinical and Experimental Research · doi:10.1007/s40520-013-0132-8 · Cited by 104
Bioelectrical impedance analysis to estimate body composition in surgical and oncological patients: a systematic review
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
Musculoskeletal Frailty: A Geriatric Syndrome at the Core of Fracture Occurrence in Older Age
Gielen, E., Verschueren, S., O’Neill, T. W., Pye, S. R., O’Connell, M. D. L., Lee, D. M., Ravindrarajah, R., Claessens, F., Laurent, M. R., Milisen, K., et al. (2012) · Calcified Tissue International · doi:10.1007/s00223-012-9622-5 · Cited by 101
Body composition changes over 9 years in healthy elderly subjects and impact of physical activity
Genton, L., Karsegard, V. L., Chevalley, T., Kossovsky, M. P., Darmon, P., & Pichard, C. (2011) · Clinical Nutrition · doi:10.1016/j.clnu.2011.01.009 · Cited by 95
Self-citation
Longitudinal follow-up of body composition in hematopoietic stem cell transplant patients
Kyle, U. G., Chalandon, Y., Miralbell, R., Karsegard, V. L., Hans, D. B., Trombetti, A., Rizzoli, R., Helg, C., & Pichard, C. (2005) · Bone Marrow Transplantation · doi:10.1038/sj.bmt.1704996 · Cited by 92
Self-citation
Multimodal nutritional rehabilitation improves clinical outcomes of malnourished patients with chronic respiratory failure: a randomised controlled trial
Pison, C. M., Cano, N., Chérion, C., Caron, F., Court‐Fortune, I., Antonini, M.-T., Gonzalez‐Bermejo, J., Meziane, L., Molano, L. C., Janssens, J.-P., et al. (2011) · Thorax · doi:10.1136/thx.2010.154922 · Cited by 99
Self-citation
Patterns of bioelectrical impedance vector distribution by body mass index and age: implications for body-composition analysis
Bosy‐Westphal, A., Danielzik, S., Dörhöfer, R., Piccoli, A., & Müller, M. J. (2005) · American Journal of Clinical Nutrition · doi:10.1093/ajcn.82.1.60 · Cited by 107
“The use of a prediction equation for body composition that included both H(2)/R and Xc (12) also failed to show an increase in percentage fat mass with age at the same BMI (results not shown).”
Method
Patterns of bioelectrical impedance vector distribution by body mass index and age: implications for body-composition analysis
Bosy‐Westphal, A., Danielzik, S., Dörhöfer, R., et al. (2005) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/82.1.60 · Cited by 92
Comparison Analysis of Nutritional Scores for Serial Monitoring of Nutritional Status in Hemodialysis Patients
Beberashvili, I., Azar, A., Sinuani, I., Kadoshi, H., Shapiro, G., Feldman, L., Averbukh, Z., & Weissgarten, J. (2013) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.04980512 · Cited by 91
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
Self-citation
Laboratory and field measurements of body composition
Norgan, N. G. (2005) · Public Health Nutrition · doi:10.1079/phn2005799 · Cited by 100
Effects of an intensive diet and physical activity modification program on the health risks of adults
Aldana, S. G., Greenlaw, R. L., Diehl, H. A., Salberg, A., Merrill, R. M., Ohmine, S., & Thomas, C. (2005) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2004.12.007 · Cited by 90
Applicability of ultrasound muscle thickness measurements for predicting fat-free mass in elderly population
Takai, Y., Ohta, M., Akagi, R., Kato, E., Wakahara, T., Kawakami, Y., Fukunaga, T., & Kanehisa, H. (2013) · The journal of nutrition health & aging · doi:10.1007/s12603-013-0419-7 · Cited by 85
Bioelectric impedance phase angle is associated with hospital mortality of geriatric patients
Wirth, R., Volkert, D., Rösler, A., Sieber, C. C., & Bauer, J. M. (2009) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2009.12.002 · Cited by 86
Contribution of body composition to nutritional assessment at hospital admission in 995 patients: a controlled population study
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
“The BIA equation used in the present study was validated in healthy subjects (Kyle et al. 2001a), stable in- and outpatients (Kyle et al. 2001b), and elderly subjects (Genton et al. 2001).”
BackgroundMethodInfluentialSelf-citation
Validity of bioelectrical impedance analysis in estimation of fat-free mass in colorectal cancer patients
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
“These included the equations incorporated into the manufacturers software, The Kyle (“Geneva”) equation [14] recommended by the European Society for Clinical Nutrition and Metabolism (ESPEN) and equations previously tested in cancer populations, see Appendix 1 [14e23].”
Method
Impact of Rehabilitation on Breast Cancer Related Fatigue: A Pilot Study
Invernizzi, M., Alessandro de, S. I. R. E., Lippi, L., Venetis, K., Sajjadi, E., Gimigliano, F., Gennari, A., Criscitiello, C., Cisari, C., & Fusco, N. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.556718 · Cited by 79
Nutrition status in patients younger and older than 60 y at hospital admission: a controlled population study in 995 subjects
Kyle, U. G., Unger, P., Mensi, N., Genton, L., & Pichard, C. (2002) · Nutrition · doi:10.1016/s0899-9007(01)00804-8 · Cited by 82
Self-citation
Changes in body composition during weight loss in obese subjects in the NUGENOB study: Comparison of bioelectrical impedance vs. dual-energy X-ray absorptiometry
Verdich, C., Barbe, P., Petersen, M., Grau, K., Ward, L. C., Macdonald, I. A., Sørensen, T. I. A., & Oppert, J. (2011) · Diabetes & Metabolism · doi:10.1016/j.diabet.2010.10.007 · Cited by 78
Development of an equation for estimating appendicular skeletal muscle mass in Japanese older adults using bioelectrical impedance analysis: Estimation of appendicular muscle mass
Yoshida, D., Shimada, H., Park, H., Anan, Y., Ito, T., Harada, A., & Suzuki, T. (2014) · Geriatrics & Gerontology International · doi:10.1111/ggi.12177 · Cited by 76
A comprehensive rehabilitation program improves disease severity in patients with obstructive sleep apnea syndrome: a pilot randomized controlled study
Desplan, M., Mercier, J. G., Sabaté, M., Ninot, G., Prefaut, C., & Dauvilliers, Y. A. (2014) · Sleep Medicine · doi:10.1016/j.sleep.2013.09.023 · Cited by 86
Aging, physical activity and height-normalized body composition parameters
Kyle, U. G., Genton, L., Gremion, G., Slosman, D. O., & Pichard, C. (2004) · Clinical Nutrition · doi:10.1016/s0261-5614(03)00092-x · Cited by 76
Self-citation
Body composition estimated by bioelectrical impedance in the Swedish elderly. Development of population-based prediction equation and reference values of fat-free mass and body fat for 70- and 75-y olds
Dey, D. K., Bosaeus, I., Lissner, L., & Steen, B. (2003) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1601625 · Cited by 75
Nutrition Status and Pressure Ulcer: What We Need for Nutrition Screening
Hengstermann, S., Fischer, A., Steinhagen‐Thiessen, E., & Schulz, R. J. (2007) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607107031004288 · Cited by 77
Impact of hypocaloric hyperproteic diet on gut microbiota in overweight or obese patients with nonalcoholic fatty liver disease: a pilot study
Pataky, Z., Genton, L., Spahr, L., Lazarevic, V., Terraz, S., Gaïa, N., Rubbia-Brandt, L., Golay, A., Schrenzel, J., & Pichard, C. (2016) · Digestive Diseases and Sciences · doi:10.1007/s10620-016-4179-1 · Cited by 75
“Resistance and reactance were converted to FFM using the Geneva formula [18].”
MethodSelf-citation
Adiposity and postural balance control: Correlations between bioelectrical impedance and stabilometric signals in elderly Brazilian women
Mainenti, M. R. M., Rodrigues, É. C., de Oliveira, J. F., Ferreira, A. D. S., Dias, C. M., & Silva, A. L. D. S. (2011) · Clinics · doi:10.1590/s1807-59322011000900001 · Cited by 73
Objective Score of Nutrition on Dialysis (OSND) as an alternative for the malnutrition-inflammation score in assessment of nutritional risk of haemodialysis patients
Beberashvili, I., Azar, A., Sinuani, I., Yasur, H., Feldman, L., Averbukh, Z., & Weissgarten, J. (2010) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfq031 · Cited by 71
“validated by dual-energy X-ray absorptiometry on 343 healthy adult subjects [27]:”
Method
Bioelectrical impedance analysis (BIA)-derived phase angle (PA) is a practical aid to nutritional assessment in hospital in-patients
Player, E., Morris, P., Thomas, T. R., Chan, W. Y., Vyas, R., Dutton, J. J., TANG, J. C. Y., Alexandre, L., & Forbes, A. (2018) · Clinical Nutrition · doi:10.1016/j.clnu.2018.08.003 · Cited by 72
“course not the first study to support the use of BIA in assessment of nutritional status ([25]), nor the 272 first to find particular value from the standardized PA, in general ([26]), and in the context of 273 disease states that substantially alter body fluid such as cirrhosis, and chronic renal failure ([27-30]).”
Background
Body composition: whatʼs new?
Kyle, U. G., Genton, L., & Pichard, C. (2002) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/00075197-200207000-00012 · Cited by 70
Self-citation
Mini Nutritional Assessment and Screening Scores Are Associated with Nutritional Indicators in Elderly People with Pressure Ulcers
Langkamp‐Henken, B., Hudgens, J., Stechmiller, J. K., & Herrlinger‐Garcia, K. A. (2005) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2005.07.005 · Cited by 70
IL-6 Levels, Nutritional Status, and Mortality in Prevalent Hemodialysis Patients
Beberashvili, I., Sinuani, I., Azar, A., et al. (2011) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.01770211 · Cited by 68
The new ESPEN diagnostic criteria for malnutrition predict overall survival in hospitalised patients
Rondel, A. L., Langius, J. A. E., de van der Schueren, M. A. E., & Kruizenga, H. M. (2016) · Clinical Nutrition · doi:10.1016/j.clnu.2016.11.018 · Cited by 67
Effect of inflammation on handgrip strength in the non-critically ill is independent from age, gender and body composition
Norman, K., Stobäus, N., Kulka, K., & Schulzke, J. (2013) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2013.261 · Cited by 66
Longitudinal changes in bioimpedance phase angle reflect inverse changes in serum IL-6 levels in maintenance hemodialysis patients
Beberashvili, I., Azar, A., Sinuani, I., Kadoshi, H., Shapiro, G., Feldman, L., Sandbank, J., & Averbukh, Z. (2014) · Nutrition · doi:10.1016/j.nut.2013.08.017 · Cited by 66
Prevalence of low muscle mass according to body mass index in older adults
Graf, C. E., Pichard, C., Herrmann, F. R., Sieber, C. C., Zekry, D., & Genton, L. (2016) · Nutrition · doi:10.1016/j.nut.2016.10.002 · Cited by 65
“Geneva BIA formula (5), which was validated against dual-energy x-ray absorptiometry in 65”
MethodSelf-citation
Prediction of fat-free mass by bioimpedance analysis in migrant Asian Indian men and women: a cross validation study
Rush, E. C., Chandu, V, & Plank, L. D. (2006) · International Journal of Obesity · doi:10.1038/sj.ijo.0803230 · Cited by 64
Similarities in Acquired Factors Related to Postmenopausal Osteoporosis and Sarcopenia
Sirola, J. P., & Kröger, H. (2011) · Journal of Osteoporosis · doi:10.4061/2011/536735 · Cited by 68
“[31] U.”
Method
Functional coupling of adenine nucleotide translocase and mitochondrial creatine kinase is enhanced after exercise training in lung transplant skeletal muscle
Guerrero, K., Wuyam, B., Mezin, P., et al. (2005) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00229.2005 · Cited by 65
“Moreover, LR patients received tacrolimus as anticalcineurin therapy and were not exposed to cyclosporin A (15).”
Background
Pre-cachexia and cachexia at diagnosis of stage III non-small-cell lung carcinoma: an exploratory study comparing two consensus-based frameworks
van der Meij, B. S., Schoonbeek, C. P., Smit, E. F., Muscaritoli, M., van Leeuwen, P. A. M., & Langius, J. A. E. (2012) · British Journal Of Nutrition · doi:10.1017/s0007114512004527 · Cited by 65
“FFM was calculated from resistance and reactance at the frequency of capacitance by using the Kyle Geneva equation (20) .”
The Association of Handgrip Strength and Type 2 Diabetes Mellitus in Six Ethnic Groups: An Analysis of the HELIUS Study
van der Kooi, A.-L. L. F., Snijder, M. B., Peters, R. J. G., & van Valkengoed, I. G. M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0137739 · Cited by 68
ESPEN diagnostic criteria for malnutrition - A validation study in hospitalized patients.
Guerra, R., Fonseca, I., Sousa, A., Jesus, A., Pichel, F., & Amaral, T. (2017) · Clinical Nutrition · doi:10.1016/j.clnu.2016.08.022 · Cited by 67
Nutritional counselling and oral nutritional supplements in head and neck cancer patients undergoing chemoradiotherapy
Valentini, V., Marazzi, F., Bossola, M., et al. (2012) · Journal of Human Nutrition and Dietetics · doi:10.1111/j.1365-277x.2011.01220.x · Cited by 62
Muscoloskeletal aging, sarcopenia and cancer
Colloca, G. A., Capua, B. D., Bellieni, A., Cesari, M., Marzetti, E., Valentini, V., & Calvani, R. (2018) · Journal of Geriatric Oncology · doi:10.1016/j.jgo.2018.11.007 · Cited by 65
The behavioral and clinical effects of therapeutic lifestyle change on middle-aged adults.
Aldana, S. G., Greenlaw, R. L., Diehl, H. A., Salberg, A., Merrill, R. M., Ohmine, S., & Thomas, C. (2006) · Europe PMC (PubMed Central) · Cited by 64

Authors: Kyle, U. G., Genton, L., Karsegard, L., Slosman, D. O., & Pichard, C.
Affiliations: University Hospital of Geneva (CH)
ORCID: Genton, Laurence
Pichard, Claude
Venue: Nutrition
Publisher: Elsevier BV
Published: 2001-03
Volume: 17
Issue: 3
Pages: 248-253
ISSN: 0899-9007 (ISSN-L)
DOI: 10.1016/s0899-9007(00)00553-0
OpenAlex: W2041793073
Cited by: 575
References: 42
Citations by year: 2026: 13 · 2025: 19 · 2024: 26 · 2023: 24 · 2022: 28 · 2021: 39 · 2020: 27 · 2019: 31 · 2018: 34 · 2017: 35 · 2016: 32 · 2015: 35 · 2014: 35 · 2013: 26 · 2012: 33
FWCI: 7.95
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Nutrition (publishedVersion)
PubMed (publishedVersion)
Archive ouverte UNIGE (University of Geneva) (publishedVersion)
Archive ouverte UNIGE (University of Geneva) (submittedVersion)
Funders: Hôpitaux Universitaires de Genève
Topics: Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Bioimpedance Tomography
Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
Keywords: bioelectrical impedance analysis, fat-free mass, prediction equations, dual-energy X-ray absorptiometry, reactance, resistance, body mass index, older adults, overweight, validation, healthy adults
MeSH terms: Adult, Aged, Aged, 80 and over, Aging, Body Composition, Female, Humans, Male, Middle Aged, Reference Values, Regression Analysis, Reproducibility of Results, Absorptiometry, Photon, Body Mass Index, Electric Impedance

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Single prediction equation for bioelectrical impedance analysis in adults aged 20–94 years

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks