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Measurement of lean body mass using bioelectrical impedance analysis: a consideration of the pros and cons

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Measurement of lean body mass using bioelectrical impedance analysis : a consideration of the pros and cons. / Sergi, Giuseppe; De Rui, Marina; Stubbs, Brendon; Veronese, Nicola; Manzato, Enzo.

In: AGING CLINICAL AND EXPERIMENTAL RESEARCH, 27.08.2016.

Research output: Contribution to journalArticle

Harvard

Sergi, G, De Rui, M, Stubbs, B, Veronese, N & Manzato, E 2016, 'Measurement of lean body mass using bioelectrical impedance analysis: a consideration of the pros and cons', AGING CLINICAL AND EXPERIMENTAL RESEARCH. https://doi.org/10.1007/s40520-016-0622-6

APA

Sergi, G., De Rui, M., Stubbs, B., Veronese, N., & Manzato, E. (2016). Measurement of lean body mass using bioelectrical impedance analysis: a consideration of the pros and cons. AGING CLINICAL AND EXPERIMENTAL RESEARCH. https://doi.org/10.1007/s40520-016-0622-6

Vancouver

Sergi G, De Rui M, Stubbs B, Veronese N, Manzato E. Measurement of lean body mass using bioelectrical impedance analysis: a consideration of the pros and cons. AGING CLINICAL AND EXPERIMENTAL RESEARCH. 2016 Aug 27. https://doi.org/10.1007/s40520-016-0622-6

Author

Sergi, Giuseppe ; De Rui, Marina ; Stubbs, Brendon ; Veronese, Nicola ; Manzato, Enzo. / Measurement of lean body mass using bioelectrical impedance analysis : a consideration of the pros and cons. In: AGING CLINICAL AND EXPERIMENTAL RESEARCH. 2016.

Bibtex Download

@article{7b2945a24e124dda89a8b40af75ae220,
title = "Measurement of lean body mass using bioelectrical impedance analysis: a consideration of the pros and cons",
abstract = "The assessment of body composition has important applications in the evaluation of nutritional status and estimating potential health risks. Bioelectrical impedance analysis (BIA) is a valid method for the assessment of body composition. BIA is an alternative to more invasive and expensive methods like dual-energy X-ray absorptiometry, computerized tomography, and magnetic resonance imaging. Bioelectrical impedance analysis is an easy-to-use and low-cost method for the estimation of fat-free mass (FFM) in physiological and pathological conditions. The reliability of BIA measurements is influenced by various factors related to the instrument itself, including electrodes, operator, subject, and environment. BIA assumptions beyond its use for body composition are the human body is empirically composed of cylinders, FFM contains virtually all the water and conducting electrolytes in the body, and its hydration is constant. FFM can be predicted by BIA through equations developed using reference methods. Several BIA prediction equations exist for the estimation of FFM, skeletal muscle mass (SMM), or appendicular SMM. The BIA prediction models differ according to the characteristics of the sample in which they have been derived and validated in addition to the parameters included in the multiple regression analysis. In choosing BIA equations, it is important to consider the characteristics of the sample in which it has been developed and validated, since, for example, age- and ethnicity-related differences could sensitively affect BIA estimates.",
author = "Giuseppe Sergi and {De Rui}, Marina and Brendon Stubbs and Nicola Veronese and Enzo Manzato",
year = "2016",
month = "8",
day = "27",
doi = "10.1007/s40520-016-0622-6",
language = "English",
journal = "AGING CLINICAL AND EXPERIMENTAL RESEARCH",
issn = "1594-0667",
publisher = "Springer Verlag",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Measurement of lean body mass using bioelectrical impedance analysis

T2 - a consideration of the pros and cons

AU - Sergi, Giuseppe

AU - De Rui, Marina

AU - Stubbs, Brendon

AU - Veronese, Nicola

AU - Manzato, Enzo

PY - 2016/8/27

Y1 - 2016/8/27

N2 - The assessment of body composition has important applications in the evaluation of nutritional status and estimating potential health risks. Bioelectrical impedance analysis (BIA) is a valid method for the assessment of body composition. BIA is an alternative to more invasive and expensive methods like dual-energy X-ray absorptiometry, computerized tomography, and magnetic resonance imaging. Bioelectrical impedance analysis is an easy-to-use and low-cost method for the estimation of fat-free mass (FFM) in physiological and pathological conditions. The reliability of BIA measurements is influenced by various factors related to the instrument itself, including electrodes, operator, subject, and environment. BIA assumptions beyond its use for body composition are the human body is empirically composed of cylinders, FFM contains virtually all the water and conducting electrolytes in the body, and its hydration is constant. FFM can be predicted by BIA through equations developed using reference methods. Several BIA prediction equations exist for the estimation of FFM, skeletal muscle mass (SMM), or appendicular SMM. The BIA prediction models differ according to the characteristics of the sample in which they have been derived and validated in addition to the parameters included in the multiple regression analysis. In choosing BIA equations, it is important to consider the characteristics of the sample in which it has been developed and validated, since, for example, age- and ethnicity-related differences could sensitively affect BIA estimates.

AB - The assessment of body composition has important applications in the evaluation of nutritional status and estimating potential health risks. Bioelectrical impedance analysis (BIA) is a valid method for the assessment of body composition. BIA is an alternative to more invasive and expensive methods like dual-energy X-ray absorptiometry, computerized tomography, and magnetic resonance imaging. Bioelectrical impedance analysis is an easy-to-use and low-cost method for the estimation of fat-free mass (FFM) in physiological and pathological conditions. The reliability of BIA measurements is influenced by various factors related to the instrument itself, including electrodes, operator, subject, and environment. BIA assumptions beyond its use for body composition are the human body is empirically composed of cylinders, FFM contains virtually all the water and conducting electrolytes in the body, and its hydration is constant. FFM can be predicted by BIA through equations developed using reference methods. Several BIA prediction equations exist for the estimation of FFM, skeletal muscle mass (SMM), or appendicular SMM. The BIA prediction models differ according to the characteristics of the sample in which they have been derived and validated in addition to the parameters included in the multiple regression analysis. In choosing BIA equations, it is important to consider the characteristics of the sample in which it has been developed and validated, since, for example, age- and ethnicity-related differences could sensitively affect BIA estimates.

U2 - 10.1007/s40520-016-0622-6

DO - 10.1007/s40520-016-0622-6

M3 - Article

C2 - 27568020

JO - AGING CLINICAL AND EXPERIMENTAL RESEARCH

JF - AGING CLINICAL AND EXPERIMENTAL RESEARCH

SN - 1594-0667

ER -

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