Cited by 259Body Composition Measurement TechniquesNutrition and Health in AgingElectrical and Bioimpedance Tomography

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Application of Bioelectrical Impedance Analysis to Elderly Populations

Roubenoff, R., Baumgartner, R. N., Harris, T. B., Dallal, G. E., Hannan, M. T., Economos, C. D., Stauber, P. M., Wilson, P. W.F., Kiel, D. P.·1997·The Journals of Gerontology Series A: Biological Sciences and Medical Sciences

DOI 10.1093/gerona/52a.3.m129

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Abstract

BACKGROUND: Bioelectrical impedance analysis (BIA) can potentially be used to estimate body composition in large populations studied at multiple sites. However, it is not clear whether age-specific BIA equations are necessary for accurate application of BIA to research on elderly subjects. METHODS: We compared a published equation designed to predict fat-free mass (FFM) that had been derived in a young healthy population (mean age 27 y; mean BMI 23.9 kg/m2), with equations that we developed for the elderly by using data from 455 participants in the Framingham Heart Study (78 Y; 27.3 kg/m2), using dual-energy x-ray absorptiometry (DXA) as a reference technique. The BIA equations were then compared in an independent sample of 283 participants in the New Mexico Aging Process Study (76 y, 25.5 kg/m2), who also underwent BIA and DXA. RESULTS: When the young-population equation was applied to Framingham, it caused an overestimation of FFM in heavier subjects that was eliminated by use of the age-specific equation. However, when the two equations were tested in the New Mexico population, the published equation gave estimates of FFM that were closer to DXA than the Framingham equations did. CONCLUSIONS: The accuracy of a BIA equation depends on the body composition of the population of the population and the validation method rather than on age per se. Application of BIA to elderly populations requires uniform validation procedures in the actual study population, rather than reliance on age-specific equations.

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“[23].”
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“FFM in kilogram was calculated from equations based on resistance in ohms.(24) RMR was not divided 1696 WEISS ET AL.”
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“That study (15) observed a strong correlation between the body composition measurements obtained by the same techniques as used in the present study.”
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Method
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Self-citation
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Method
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Method
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“(17) was used for the estimation of FFM.”
No strong association between second to fourth digit ratio (2D:4D) and adult anthropometric measures with emphasis on adiposity
Muller, D. C., Manning, J. T., Hopper, J. L., English, D. R., Giles, G. G., & Severi, G. (2012) · Annals of Human Biology · doi:10.3109/03014460.2012.751127 · Cited by 19
“Fat-free mass and fat mass were estimated using an empirically derived formula that was developed using participants whose characteristics were similar to those of the MCCS participants (Roubenoff et al. 1997).”
Method
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“However, a BIA equation was applied, which has been validated against dual-energy X-ray absorptiometry in older adults [32].”
Method
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“[35] were underestimated approximately 2.”
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Single prediction equation for bioelectrical impedance analysis in adults aged 22–59 years
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“[14] and others concluded that BIA equations are subject to errors that cannot be determined a priori unless they are validated in the specific population in which they are to be applied [16–18].”
Background
Bio-impedance analysis for appendicular skeletal muscle mass assessment in (pre-) frail elderly people
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“This method has been used in comparable studies [12,31].”
Method
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“[20] revealed a shift to lower Z(Xc/H) (male: −0.”
BackgroundResultInfluential
Comparison of segmental with whole-body impedance measurements in peritoneal dialysis patients
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“The PA (degrees) and FFM were calculated.(37) According to the MNA total score, patients were categorized as undernourished (MNA < 17) or at risk of undernutrition (MNA 1⁄4 17.”
Method
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Ding, Z., Chen, Y., Xu, Y., Zhou, X., Xu, Y., Ma, Z., & Sun, Y. (2016) · Journal of Clinical Densitometry · doi:10.1016/j.jocd.2016.11.001 · Cited by 13
“FM,FFM, andMMwere estimated by BX-BCA-100, using the equation from Roubenoff et al (15,16).”
Effects of insulin and amino acids on leucine metabolism in young and middle-aged humans
Luzi, L., Giordano, M., Caloni, M., & Castellino, P. (2001) · European Journal of Nutrition · doi:10.1007/s003940170010 · Cited by 13
Predictors of presarcopenia in community-dwelling older adults: A 5-year longitudinal study
Kobayashi, K., Ando, K., Tsushima, M., Machino, M., Ota, K., Morozumi, M., Tanaka, S. A., Kanbara, S., Ishiguro, N., Hasegawa, Y., et al. (2018) · Modern Rheumatology · doi:10.1080/14397595.2018.1551171 · Cited by 13
“Moreover, BIA enables separate measurements of muscle mass in the upper and lower extremities and the trunk, and is a simple, easy, and noninvasive method for measuring muscle mass [21].”
Method
The Phenylalanine Requirement of Elderly Men and Women Measured by Direct 13C Carbon Oxidation Method Is Similar to That of Young Adults
Martin, K. E., Pencharz, P. B., Rafii, M., Ball, R. O., Szwiega, S., Elango, R., & Courtney‐Martin, G. (2019) · Journal of Nutrition · doi:10.1093/jn/nxz137 · Cited by 14
“Three readings for both R and Xc (in ) were taken for each subject, and equations (24) were used to determine lean body mass as previously described (25, 26).”
Method
Changes in lean body mass and total body weight are weakly associated with physical functioning in patients with HIV infection
Wilson, I. B., Jacobson, D., Roubenoff, R., et al. (2002) · HIV Medicine · doi:10.1046/j.1468-1293.2002.00122.x · Cited by 13
Self-citation
Complications of Oropharyngeal Dysphagia: Malnutrition and Aspiration Pneumonia
Carrión, S., Costa, A., Ortega, O., Vérin, É., Clavé, P., & Laviano, A. (2018) · Medical radiology · doi:10.1007/174_2017_168 · Cited by 13
Sarcopenia: consenso europeo sobre su definición y diagnóstico Informe del Grupo europeo de trabajo sobre la sarcopenia en personas de edad avanzada
Cruz-Jentoft, A. J., Baeyens, J., Bauer, J. M., Boirie‌, Y., Cederholm, T., Landi, F., Martin, F. C., Michel, J. P., Rolland, Y., Schneider, S. M., et al. (2010) · Cited by 13
Influência da obesidade nos critérios de classificação de sarcopenia em idosos
Pillatt, A. P., Berlezi, E. M., de Jesus, L. B., Schneider, R. H., & Franz, L. B. B. (2020) · Revista Brasileira de Geriatria e Gerontologia · doi:10.1590/1981-22562020023.200083 · Cited by 13
The additive effects of exercise and essential amino acid on muscle mass and strength in community-dwelling older Japanese women with muscle mass decline, but not weakness and slowness: a randomized controlled and placebo trial
Kim, H., Kojima, N., Uchida, R., Somekawa, S., Inoue, N., Kobayashi, H., & Osuka, Y. (2020) · Aging Clinical and Experimental Research · doi:10.1007/s40520-020-01713-x · Cited by 13
Early cartilage abnormalities at the hip are associated with obesity and body composition measures – a 3.0T MRI community-based study
Teichtahl, A. J., Wang, Y., Smith, S. B., Wluka, A. E., Urquhart, D. M., Giles, G. G., Hussain, S. M., & Cicuttini, F. (2015) · Arthritis Research & Therapy · doi:10.1186/s13075-015-0618-1 · Cited by 12
Bioelectrical Impedance Analysis Overestimates Fat‐Free Mass in Breast Cancer Patients Undergoing Treatment
Bell, K. E., Schmidt, S., Pfeiffer, A., Bos, L., Earthman, C. P., Russell, C., & Mourtzakis, M. (2019) · Nutrition in Clinical Practice · doi:10.1002/ncp.10438 · Cited by 11
Validity of Bioimpedance Equations to Evaluate Fat-Free Mass and Muscle Mass in Severely Malnourished Anorectic Patients
Coëffier, M., Gâté, M., Rimbert, A., Petit, A., Folope, V., Grigioni, S., Déchelotte, P., & Achamrah, N. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9113664 · Cited by 11
Association of Body Esteem with Fitness and Body Fat Among Colorectal Cancer Survivors: Secondary Analyses from a Randomized Trial
Kindred, M. M., Pinto, B. M., & DUNSIGER, S. I. (2019) · International Journal of Behavioral Medicine · doi:10.1007/s12529-019-09819-x · Cited by 11
Development and validation of bioimpedance prediction equations for fat-free mass in unilateral male amputees
Choi, H.-J., Ko, C.-Y., Chang, Y., Kim, G.-S., Choi, K., & Kim, C.-H. (2021) · PeerJ · doi:10.7717/peerj.10970 · Cited by 10
“4 1 Department of Medical Convergence Research & Development, Rehabilitation Engineering Research Institute, Incheon, Republic of Korea 2 Department of Research & Development, Refind Inc, Wonju, Gangwon-do, Republic of Korea 3 Department of Healthcare Business Division, Healthmax company, Seoul, Gangnam-gu, Republic o…”
MethodInfluential
Dietary vitamin D intake is not associated with 25-hydroxyvitamin D3 or parathyroid hormone in elderly subjects, whereas the calcium-to-phosphate ratio affects parathyroid hormone
Jungert, A., & Neuhäuser‐Berthold, M. (2013) · Nutrition Research · doi:10.1016/j.nutres.2013.05.011 · Cited by 10
“[22] Roubenoff R, Baumgartner RN, Harris TB, Dallal GE, Hannan MT, Economos CD, et al.”
BackgroundMethod
Determinants of Vitamin B6 Status in Community-Dwelling Older Adults: A Longitudinal Study Over a Period of 18 Years
Jungert, A., & Neuhäuser‐Berthold, M. (2019) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz010 · Cited by 10
Reference values for body composition and associations with blood pressure in Kenyan adults aged ≥50 years old
Bastawrous, M., Piernas, C., Bastawrous, A., Oke, J. L., Lasserson, D. S., Mathenge, W. C., Burton, M. J., Jebb, S. A., & Kuper, H. (2018) · European Journal of Clinical Nutrition · doi:10.1038/s41430-018-0177-z · Cited by 11
“BIA has been compared against reference methods such as whole-body dual energy X-ray absorptiometry showing high correlations [41–43], but it is less accurate at an individual level, especially at very high BMIs [43].”
Method
Ten-Year Incidence of Sarcopenia in a Population-Based Cohort: Results from the Research on Osteoarthritis/Osteoporosis Against Disability Study
Iidaka, T., Horii, C., Tanegashima, G., Muraki, S., Oka, H., Kawaguchi, H., Nakamura, K., Akune, T., Tanaka, S., & Yoshimura, N. (2024) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2024.105263 · Cited by 10
Pelvic compensation accompanying spinal malalignment and back pain-related factors in a general population: the Wakayama spine study
Murata, S., Hashizume, H., Tsutsui, S., Oka, H., Teraguchi, M., Ishomoto, Y., Nagata, K., Takami, M., Iwasaki, H., Minamide, A., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-39044-2 · Cited by 8
“39 using the Body Composition Analyzer MC-190 (Tanita Corp., Tokyo, Japan).”
Method
Serum 25-hydroxyvitamin D3, parathyroid hormone and blood pressure in an elderly cohort from Germany: a cross-sectional study
Jungert, A., Roth, H. J., & Neuhäuser‐Berthold, M. (2012) · Nutrition & Metabolism · doi:10.1186/1743-7075-9-20 · Cited by 9
“[27].”
Association of Thyroid-Stimulating Hormone with Resting Energy Expenditure in Euthyroid Elderly Subjects: A Cross-Sectional Study
Nagel, A., Spinneker, A., & Neuhäuser‐Berthold, M. (2015) · Annals of Nutrition and Metabolism · doi:10.1159/000441625 · Cited by 9
Effects of protein supplements consumed with meals, versus between meals, on resistance training–induced body composition changes in adults: a systematic review
Hudson, J., Bergia, R. E., & Campbell, W. W. (2018) · Nutrition Reviews · doi:10.1093/nutrit/nuy012 · Cited by 10
“and bioelectrical impedance were excluded because of unreliable estimations of lean mass.(20,21)”
Background
The Muscle Thickness Assessment Using Ultrasonography is a Useful Alternative to Skeletal Muscle Mass by Bioelectrical Impedance Analysis
Isaka, M., Sugimoto, K., Akasaka, H., Yasunobe, Y., Takahashi, T., Keyu, X., Onishi, Y., Yoshida, S., Minami, T., Yamamoto, K. I., et al. (2022) · Clinical Interventions in Aging · doi:10.2147/cia.s385469 · Cited by 12
The impact of multimorbidity on resting metabolic rate in community-dwelling women over a ten-year period: A cross-sectional and longitudinal study
Nagel, A., Jungert, A., Spinneker, A., & Neuhäuser‐Berthold, M. (2016) · The journal of nutrition health & aging · doi:10.1007/s12603-016-0840-9 · Cited by 8
“This equation was derived and validated by Roubenoff et al. (21) in a population of similar age and BMI compared to our study subjects and similar measurement conditions, using DXA as a reference technique.”
Predictors of sedentary behavior among colorectal survivors
Kindred, M. M., Pinto, B. M., & DUNSIGER, S. I. (2018) · Supportive Care in Cancer · doi:10.1007/s00520-018-4452-2 · Cited by 8
Identification of Preoperative Fat‐Free Mass Index for the Prognosis of Curatively Resected Esophageal Cancer
Yago, A., Ohkura, Y., Ueno, M., et al. (2022) · World Journal of Surgery · doi:10.1007/s00268-021-06435-3 · Cited by 8
“Although several methods are used to evaluate the muscle mass, the fat-free mass index (FFMI) using the bioelectricity impedance analysis (BIA) has advantages of ease-of-use and low cost [6, 7].”
Method
Comparing measures of fat-free mass in overweight older adults using three different bioelectrical impedance devices and three prediction equations
Ramsey, R., Isenring, E. A., & Daniels, L. (2011) · The journal of nutrition health & aging · doi:10.1007/s12603-011-0085-6 · Cited by 8
“Equation 2 and Equation 3 were selected as they had been specifically validated among older populations [13-14] (Table 1).”
The Multidomain Mobility Lab in Older Persons: From Bench to Bedside. The Assessment of Body Composition in Older Persons at Risk of Mobility Limitations
Rossi, A. P., Harris, T. B., Fantin, F., Armellini, F., & Zamboni, M. M. (2014) · Current Pharmaceutical Design · doi:10.2174/13816128113196660694 · Cited by 8
“A summary of recent validation studies by Lohman et al (44) indicate good agreement between DXA and multicompartment models, with multicompartment models considered as reference methods.”
MethodSelf-citation
Predictors of serum cobalamin and its association with homocysteine in community-dwelling older adults
Jungert, A., & Neuhäuser‐Berthold, M. (2018) · European Journal of Clinical Nutrition · doi:10.1038/s41430-018-0367-8 · Cited by 7
Cross-sectional and longitudinal associations between serum 25‑hydroxyvitamin D and anti-oxidative status in older adults
Jungert, A., & Neuhäuser‐Berthold, M. (2018) · Experimental Gerontology · doi:10.1016/j.exger.2018.06.024 · Cited by 7
Body circumferences are predictors of weight adjusted resting energy expenditure in older people
Hedayati, K. K., & Dittmar, M. (2011) · The journal of nutrition health & aging · doi:10.1007/s12603-011-0072-y · Cited by 7
“This is often practised in field studies and easier to handle, although population specific algorithms have to be used and hydration status should be carefully controlled (5).”
Postprandial insulin sensitivity and thermogenesis in frail elderly women
Goulet, E. D. B., Khursigara, Z., Gougeon, R., & Morais, J. A. (2010) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/h10-041 · Cited by 7
Intra- and Inter-Day Reliability of Body Composition Assessed by a Commercial Multifrequency Bioelectrical Impedance Meter
Bosquet, L., Niort, T., & Poirault, M. (2017) · Sports Medicine International Open · doi:10.1055/s-0043-113999 · Cited by 6
“The main limitation with this method is the difficulty in converting resistance and reactance, the two components of the signal of impedance, into body composition [18].”
Evaluación del índice de masa corporal con factores clínicos-nutricionales en ancianos institucionalizados sin deterioro cognitivo
Ruperto, M., Gómez‐Martín, M., & Rosado, C. I. (2016) · Revista Española de Nutrición Humana y Dietética · doi:10.14306/renhyd.20.4.245 · Cited by 6
Bioelectrical impedance analysis of body composition for the anesthetic induction dose of propofol in older patients
Araújo, A. M., Machado, H. S., Falcão, A. C., et al. (2019) · BMC Anesthesiology · doi:10.1186/s12871-019-0856-x · Cited by 6
New Issues in the Management of Osteoporosis
Sirola, J. P., Díaz Curiel, M., Honkanen, R., & Iwamoto, J. (2011) · Journal of Osteoporosis · doi:10.4061/2011/582789 · Cited by 5
Estimating nutritional status in a small cohort of elderly care home residents using MUST, MNA and bioelectrical impedance phase angle and vector analysis
Slee, A. (2013) · Figshare · Cited by 5
Predicting visceral adipose tissue in older adults: A pilot clinical study
Perna, S., Faragli, A., Spadaccini, D., Peroni, G., Gasparri, C., Al-Mannai, M. A., Casali, P. M., Porta, E. L., Kelle, S., Alogna, A., et al. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.02.008 · Cited by 6
Use of handgrip strength measurement as an alternative for assessing chewing function in people with dementia
Jockusch, J., Hahnel, S., & Nitschke, I. (2022) · BMC Geriatrics · doi:10.1186/s12877-022-03452-2 · Cited by 5
Is There a Relationship between Anthropometric Indices and Muscular, Motor, and Cardiorespiratory Components of Health-Related Fitness in Active European Older Adults?
Carral, J. M. C., Vila, H., de Oliveira, I. M., Fuentes, G. R., Rodríguez, A. L., Silva, B., & Bezerra, P. (2024) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph21020201 · Cited by 4
“The analyser took into account age, gender, and height without a decimal point [28,29].”
Method
Comparaison de plusieurs formules de calcul de la masse maigre par bio-impédancemétrie avec l’absorptiométrie biphotonique (Dexa)
Varlet‐Marie, E., Grubka, E., Karafiat, M., Fédou, C., de Mauverger, É. R., & Brun, J. ‐. (2009) · Science & Sports · doi:10.1016/j.scispo.2009.01.005 · Cited by 4

Authors: Roubenoff, R., Baumgartner, R. N., Harris, T. B., Dallal, G. E., Hannan, M. T., Economos, C. D., Stauber, P. M., Wilson, P. W. F., & Kiel, D. P.
Affiliations: Tufts University (US)
University of New Mexico (US)
National Institutes of Health (US)
Boston University (US)
Framingham Heart Study (US)
Hebrew SeniorLife (US)
ORCID: Roubenoff, R.
Baumgartner, R. N.
Harris, T. B.
Hannan, M. T.
Economos, C. D.
Wilson, P. W.F.
Kiel, D. P.
Venue: The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
Publisher: Oxford University Press (OUP)
Published: 1997-05-01
Volume: 52A
Issue: 3
Pages: M129-M136
ISSN: 1079-5006 (ISSN-L)
1758-535X
DOI: 10.1093/gerona/52a.3.m129
OpenAlex: W1986223929
Cited by: 258
References: 11
Citations by year: 2026: 6 · 2025: 9 · 2024: 4 · 2023: 6 · 2022: 7 · 2021: 3 · 2020: 7 · 2019: 15 · 2018: 21 · 2017: 8 · 2016: 15 · 2015: 13 · 2014: 18 · 2013: 12 · 2012: 11
FWCI: 1.26
Type: journal article
Language: en
Open access: closed
Locations: The Journals of Gerontology Series A (publishedVersion)
PubMed (publishedVersion)
Funders: U.S. Department of Agriculture
National Institutes of Health
National Institute on Aging (Y01 AG-20195)
National Institute of Diabetes and Digestive and Kidney Diseases (F32DK008443)
National Institute of Arthritis and Musculoskeletal and Skin Diseases (R01AR041398)
Topics: Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Bioimpedance Tomography
Keywords: bioelectrical impedance analysis, body composition, fat-free mass, older adults, equation validation, dual-energy X-ray absorptiometry
MeSH terms: Aged, Aging, Body Composition, Evaluation Studies as Topic, Humans, Models, Biological, Absorptiometry, Photon, Electric Impedance

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Application of Bioelectrical Impedance Analysis to Elderly Populations

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