- Citado por SciELO
- Citado por Google
- Similares en SciELO
- Similares en Google
versión On-line ISSN 0717-7518
Rev. chil. nutr. v.37 n.3 Santiago sep. 2010
Rev Chil Nutr Vol. 37, N°3, Septiembre 2010, págs.: 262-268
DETERMINACIÓN DE COMPOSICIÓN CORPORAL MEDIANTE ANÁLISIS DE IMPEDANCIA SEGMENTADA: CONSIDERACIONES Y APLICACIONES PRÁCTICAS
DETERMINATION OF BODY COMPOSITION BY SEGMENTAL BIOELETRICAL IMPEDANCE ANALYSIS: CONSIDERATIONS AND PRACTICAL APPLICATIONS
Mirele Savegnago M. (1), Fernanda Rodrigues de O. (1,2), Estela Iraci R. (3), Alceu Afonso Jordão J. (1), Paula García Ch. (1)
(1) Departamento de Clínica Médica, Faculdade de Medicina de Ribeirão Preto Universidade de São Paulo, Ribeirão Preto, SP, Brasil.
(2) Universidade Federal do Triángulo Mineiro, Uberaba, MG, Brasil.
(3) Universidade Federal do Rio Grande do Sul. Porto Alegre, RS, Brasil.
Introduction: Bioelectrical impedance is a fast, inexpensive, easy, portable, and noninvasive method. A major innovation in the analysis of body composition is segmental bioelectrical impedance. Objectives: To assess the applicability of segmental bioelectrical impedance. Subjects and methods: The study was conducted on female subjects divided into two groups: Group I (n =8) consisted of healthy women and group II (n=25) of obese women with Polycystic Ovary Syndrome (PCOS). All subjects were submitted to examination by total and segmental bioelectrical impedance. Results and discussion: Anthropometric parameters (weight, BMI, total lean mass and total fat mass) showed significant differences between groups. There was a significant difference between groups I and II for all body segments evaluated, except for lean mass of the leg. Conclusion: Procedures of segmental bioelectrical impedance will be increasingly useful in the nutritional assessment of tissue masses, enabling assessment that is more sensitive and monitoring of nutritional care.
Key words: segmental bioelectrical impedance, body composition, abdominal obesity, polycystic ovary syndrome.
Introdução : A impedância bioelétrica é um método rápido, barato, fácil, portátil e nao invasivo. Urna grande inovação na análise da composição corporal é a Impedância Bioelétrica Segmentar. Objetivos: Avahar a aplicabilidade da impedância bioelétrica segmentar. Sujetos e Métodos: o estudo foi realizado com individuos do sexo feminino, divididos em: Group I (n=8) composto por mulheres eutróficas e o Group II (n=25) mulheres obesas com Síndrome do Ovario Policístico (SOP). Todos os individuos foram submetidos ao exame de impedância bioelétrica total e segmentar. Resultados e discussão : Os parâmetros antropométricos de peso, IMC, massa magra total e massa gorda total apresentaram diferencas significativas entre os groups. Houve diferenca significativa para todos os segmentos corporais avahados, com exceção da massa magra da perna entre o group I e II. Conclusão : Procedimentos de impedância bioelétrica segmentar serão cada vez mais úteis na avaliação nutricional de massas teciduais, possibilitando avaliações e monitoramentos mais sensíveis do cuidado nutricional.
Termos clave: bioimpedância elétrica segmentar, composição corporal, obesidade abdominal, síndrome do ovario policístico.
The determination of body composition is very important in clinical practice and in nutritional evaluation of populations, mainly due to the association of body fat with various metabolic changes (1,2). Thus, there is a need for methods that can assess in a precise and reliable manner the amount of body fat in relation to total body mass, as well as its body distribution. Among the techniques used for these purposes are computed tomography (3), magnetic resonance, bioelectrical impedance, skin fold thickness, dual energy X-ray absorptiometry (DXA) (4), and hydrostatic weighing, the last two being considered "gold standards" for validation studies.
Methods such as computed tomography, magnetic resonance, DXA and hydrostatic weighing, despite producing accurate results, are very expensive and not available at most institutions. On the other hand, bioelectrical impedance is a method extensively used by nutrí ti onists to assess body composition in clinical practice since it is rapid, easy, portable, noninvasive, less expensive, and applicable to individuals of various ages (5,6)
The principies of bioelectrical impedance are based on the passage of a low-amplitude and high-frequency current measuring resistance (Re), reactance (Xc), impedance (Z), and the phase angle ((|)) (5). In simpler terms, lean tissues, by containing large amounts of water and electrolytes, are high conductors of electrical current and therefore present low resistance. Conversely, fat and bone are poor conductors containing smaller amount of fluids and electrolytes and having greater electrical resistance. The resistance and reactance values obtained can be used to estimate body composition by means of predictive equations.
Based on these same principies, an important innovation has been produced, called segmental bioelectrical impedance. Chumlea et al (7) showed that specific as-sessment of arm, leg and trunk resistance could be used to calculate total fat-free mass in a direct manner and Baumgartner et al (8) demonstrated that the phase angle (reactance/resistance ratio) of the trunk was significantly correlated with percent total body fat. In addition, Settle el al (9) suggested that total body resistance could be estimated based on arm or leg resistance. On this basis, Baumgartner et al (10) concluded that it would be possi-ble to accurately predict body composition by measuring the length and resistance of some body segments such as the arm, leg, and trunk.
This method applied to segments represents a great advance in clinical practice by overcoming the limitations of traditional bioelectrical impedance analysis, permitting the analysis of body composition in patients with renal (11) or hepatic (12) diseases that culminate in the presence of edema or ascites or that involve tissue deposition or depletion (muscle or fat) in specific body segments (13), for example.
In view of the above considerations, the objective of the present communication is to describe in detail segmental bioelectrical impedance analysis for the arm, trunk and leg, showing the practical applications of these measurements in the assessment of body composition.
SUBJECTS AND METHODS
The study was conducted on women submitted to total and segmental bioelectrical impedance analysis (Biodynamics 310. 800 yiA and 50 kHz), with the eva-luation of body segments (arm, trunk and leg) according to the standardized techniques described below (10). Weight, total height, acromion length, sitting height, and arm length were measured according to standardized techniques (10,14).
The participants were divided into two groups: group I (n=8) consisted of women considered eutrophic on the basis of BMI (18,5 a 24,9 Kg/m2), according to the classification proposed by the World Health Organization (14,15) and group II (n=25) consisted of obese women, based on a BMI of > 30.0 kg.m2, with a diagnosis of Polycystic Ovary Syndrome (PCOS) according to the definition of the Rotterdam Consensus, i.e., presence of at least 2 of the 3 following characteristics: oligo- or anovulation, clinical and/or biochemical signs of hyperandrogenism and polycystic ovaries, together with the exclusión of other etiologies (16). This group was selected based on the fact that women with PCOS tend to have a larger amount of total body fat than women without the syndrome. In addition their body fat distribution is differentiated, with a greater concentration in the abdominal region (17).
For the analysis and later comparison of the anthropometric characteristics of the above groups, a third group was used (group III) as described by Baumgartner et al (1989) (10), which consisted of eutrophic individuals of both genders according to BMI classification, although only the data for the female populations were used here as a criterion of comparison. Despite this group has a higher mean age it was used in order to establish some comparisons with other study groups because the group III is part of the sample of one of the most representative works on segmental bioelectrical impedance described in the literature.
Data for the two experimental groups are reported as absolute means + SD and were analyzed statistically by ANO VA followed by the Tukey post hoc test. The nonparametric Mann-Whitney test for unpaired samples was used for the comparison of the total and segmental body composition data between groups I and II. The level of significance was set at p<0.05 in all analyses.
Positions for the measurements of body lengths
Specific anatomical points were defined for the determination of segment length based on the scientific literature:
|•||Height - height was measured with the subject standing, barefoot and with the head and neck aligned with the trunk (18);|
|•||Arm - arm length was measured from the most distal point of the third metacarpus to the acromion with the arm fully extended (7);|
|•||Trunk - trunk length was calculated by the dif-ference between the length measured from the acromion and the length of the leg (10);|
|•||Leg - leg length was calculated by the difference between total height and sitting height (10).|
Anatomical points for electrode placement
In addition to the length measurements, new anatomical points were defined for electrode placement according to each body segment:
|•||Arm - one pair of electrodes must be located in the standard position, one on the hand and the other at a distance of 5 cm from the wrist; the other pair of electrodes must be located in the acromial process and in the axillary fold (7);|
|•||Trunk - the first pair of electrodes must be located on the anterior midline of the proximal thigh, with the "receiving" electrode on the same plañe as the gluteal fold and the "source" electrode 5 cm distal to the "receiving" electrode. In the second pair, the "receiving" electrode must be located above the sternal cleft and the "source" electrode on the anterior midline of the neck 5 cm from the skull (10);|
|•||Leg - one pair of electrodes must be located on the anterior midline of the proximal thigh, one of them on the ankle and the other at a 5 cm distance on the foot (10).|
The values obtained were inserted into predictive equations for fat and fat-free mass specific for each body segment (table 1).
RESULTS AND DISCUSSION
Except for height (cm) and arm length (cm), the other parameters evaluated (age, weight, BMI, trunk and leg length, total lean mass, and total fat mass) differed significantly between all groups. In terms of the general characteristics of the three groups, it can be seen that group I was the youngest (23.3 ±1.0 years) and had a mean BMI close to that of the group analyzed by Baum-gartner et al. However, group I presented a reduced total
fat mass (13.9 ± 2.5 kg) compared to groups II and III (42.5 ± 8.3 kg and 30.2 ± 8.8 kg, respectively) (table 2). Considering the body fat it was expected that the group I presented lower values since it is composed of a sample of young women with a BMI within the normal range. However, group II included women with PCOS, being a common clinical manifestation of this disease increased body fat. Finally, group III despite being composed of women with a BMI in the eutrophic, they have a higher age group, which favors an increase in body fat, since it is known that the aging contributes to reduced lean body mass and increased fat mass
The crude resistance and reactance values obtained for the three groups are presented in table 3. The values of these parameters for groups I and II would be expected to be significantly different in view of the differences in body constitution existing between the three groups. However, this was not the case for the trunk even though group II consisted of obese women with PCOS who, due to their clinical situations, tend to accumulate more fatty tissue in this region. This region contains 46% of body mass but accounts for only 8% of total impedance, whereas the upper limbs (arms) contain 4% of body mass (19) but account for 45% of total impedance. As an explanation of this fact, Organ et al (20) propose that the trunk makes a small contribution to total impedance. Due to these discrepancies, Organ et al stated that trunk impedance should be separated from limb impedance since total impedance "virtually" exeludes this region (20).
On the basis of resistance and reactance values, it was possible to estimate the fat-free mass (kg) and total and segmental fat mass (%) of groups I and II by means of previously described equations (table 4). The results show that there was a significant difference between the two groups evaluated regarding all body segments, except for the lean mass of the leg, which did not differ between groups. A possible explanation wouldbe the fact that group I women are younger and therefore have a greater amount of lean mass, with even higher values if hey practice some type of physical activity. In addition, we may assume that the leg region is not one of the first to be affected by changes related to tissue depletion and/ or deposition in a special situation of altered body composition (as is the case for PCOS). Group II individuals presented greater percentages of fat mass in all body segments evaluated. These results were expected since group II consisted of women classified as obese, with significantly greater weight and higher BMI compared to group I. In addition, group I was younger and it is known that individuals of both genders of more advanced age tend to present a greater accumulation of body fat.
Regarding the equations used to estimate fat mass, there was no significant difference between fat mass (kg) obtained by total bioelectrical impedance and fat mass (kg) obtained as the sum of the three body segments analyzed in group II (42.5 ± 8.3 kg x 44.1 ± 13.5 kg, p=0.9), so that correlations between segmental fat mass and total fat mass could be established in future studies (table 4). Lean mass (kg) showed a similar behavior, with no significant difference in total lean mass obtained by impedance and lean mass obtained by the sum of the body segments evaluated (51.4 ± 6.0 kg x 48.6 ± 3.6 kg,p= 0.09).
However, in group I (eutrophic) the total fat mass (kg) and fat mass (kg) obtained by the sum of the three body segments (13.9 ± 2.5 kg x 10.1 ± 2.2 kg. p= 0.014) as well as the total lean mass and lean mass obtained by the sum of the body segments (42.3 ± 3.0 kg x 57.7 ± 3.2 kg, p= 0.002) showed significant differences (table 4). The fat mass evaluated by the sum of the leg, trunk and arm segments underestimated by 72.7% the fat mass evaluated by total bioelectrical impedance, while the lean mass evaluated by the sum of the segments was over-estimated by 36% in relation to the lean mass obtained by total bioimpedance. The application of formulas to distinct groups regarding age and body composition may help explain these differences. The equations for the estimate of lean mass used here were described by Braceo et al (21) in a study in which the formulas were developed based on a population of women predominantly showing excess weight (mean weight: 75.3 ± 3.1 kg and BMI: 27.8 ± 1.2 kg.m2), i.e., a sample with anthropometric characteristics differing from those of group I of the present study (eutrophic women), in addition to the fact that the sample size of this group was smaller. These factors may justify the need to develop specific equations for the evaluation of body tissues in groups with different characteristics from those used in the elaboration of these described equations.
Several studies using segmental bioelectrical impedance analyzed the sum of the resistance and reactance of the three body segments (arm, trunk and leg), and the authors presented some proposals (table 5). Organ et al (20) validated the proposition that the sum of the resistance values of the three body segments should be equal to the resistance obtained with total bioimpedance analysis. Similar validations were not reached by other investigators: Baumgartner et al (10) reported that the sum of the segments was 16% higher than total resistance and Fuller & Elia (22) stated that the sum of the segments was 7-12% higher for women. In the present study we detected values similar to those proposed by Braceo et al (21) for group I (a sum 2.8 ± 2.9% higher than total resistance), whereas the values obtained for group II were closer to those proposed by Fuller & Elia (22) (a sum 9.4% ± 6.5 higher than total resistance) (table 5).
Segmental bioelectrical impedance, in addition to permitting the visualization of the contribution of each body segment in relation to the total, also overcomes some barriers in clinical practice, especially by being correlated with total impedance. Thus, this evaluation permits the determination of lean mass and fat mass in individuals presenting characteristics that are considered to be exclusión criteria for this technique.
This segmental evaluation of body fat is important because of the existence of different metabolic behaviors between adipose tissue located in the upper and lower regions of the body, and the recommendation is not to quantitate simply total body weight or total body fat.
Adipose tissue is an organ responsible for the secretion of various factors named adipokines which are directly or indirectly related to processes involved in the development of insulin resistance, type II diabetes, arterial hypertension, and cardiovascular diseases (CVD) (24). Abdominal obesity is the central component of metabolic syndrome and individuals with this syndrome are at higher risk for morbidity and mortality due to CVD. The accumulation of visceral fat is more associated with metabolic risks than BMI or subcutaneous fat (25).
Thus, Snijder et al. (2004) (26) assessed the influence of fatty and muscle tissue of the region of the trunk and leg on glucose metabolism and observed a positive association between trunk fat and fasting glycemia levels, glycemia levels after a glucose overload and HOMA-IR index, as opposed to a negative association between leg fat and fasting glycemia and HOMA-IR index. In addition, waist circumference presented a strong positive correlation with trunk fat (r = 0.82, p < 0.0001), revealing the existence of a correlation between trunk fat and abdominal fat (26).
The assessment of body fat compartmentalization is especially important in certain clinical situations such as PCOS. One of the main characteristics of this syndrome is a tendency to fat accumulation in the upper region of the body both in obese and eutrophic patients (27). A study evaluating the distribution of body fat in eutrophic patients with PCOS compared to eutrophic patients wi-thout PCOS (paired for age, weight and BMI) detected that PCOS patients had a larger amount of total body fat (35.7 ± 7.6% x26.4 ± 3.5%; p 0.002) and of fat in the upper region of the body (9.1 ± 3.3 x 4.5 ±1.1 kg; p 0.001), with no difference in the amount of fat localized in the lower region of the body (28).
We presented here the most appropriate procedures and formulas for the use of bioelectrical impedance applied to the segments arm, trunk and leg, conside-ring that their use is widely disseminated but not yet standardized. It should be pointed out that there was no validation of the techniques described here, but only a compilation of the procedures and formulas already described in the literature and the description of a practical application. Based on the data of the present study, it can be seen that specific formulas and procedures should be developed, so that future studies may be conducted to validate these electrical bioimpedance procedures in specific clinical situations in which tissue depletion/de-position occurs in body segments in order to obtain more sensitive evaluations and monitoring of nutrítional care.
1. Lenz M, Richter T, Mühlhauser, I. The morbidity and mortality associated with overweight and obesity in adulthood. Dtsch Arztebl Int 2009; (106) 40: 641-8. [ Links ]
2. Stevens J, Katz EG, Huxley RR. Associations between gender, age and waist circumference. Eur J Clin Nutr 2009, 1-10. [ Links ]
3. Kuk JL, Saunders TJ, Davidson LE, Ross R. Age-related changes in total and regional fat distribution. Ageing Res Rev, 2009. [ Links ]
4. Rothney MP, Brychta, R J, Schaefer EV, Chen KY, Skarulis MC. Body Composition Measured by Dual-energy X-ray Absorptiometry Half-body Scans in Obese. Adults Obesity (Silver Spring) 2009; 17 (6): 1281-1286. [ Links ]
5. Lukaski HC, Johnson PE, Bolonchuk WW, Lykken GI. Assessment of fat-free mass using bioelectrical impedance measurements of the human body. Am J Clin Nutr 1985;41(4): 810-7. [ Links ]
6. Roche AF, Chumlea WC, Guo S. Identification and validation of new anthropometric techniques for quantifying body composition. Natick, MA: US Army Research and Development Center, 1986. [ Links ]
7. Chumlea WC, Baumgartner RN, Roche AF. Specific resistivity to estimate fat-free mass from segmental body measures of bioelectric impedance. Am J Clin Nutr 1988; 48(1): 7-15. [ Links ]
8. Baumgartner RN, Chumlea WC, Roche AF. Bioelectric impedance phase angle and body composition. Am J Clin Nutr 1988; 48(1): 16-23. [ Links ]
9. Settle RG, Foster KR, Epstein BR, Muller JL. Nutritional assessment: whole body impedance and body fluid compartments. Nutr Cancer 1988; 2: 72-80. [ Links ]
10. Baumgartner RN, Chumlea WC, Roche AF. Estimation of body composition from bioelectric impedance of body segments. Am J Clin Nutr 1989; 50(2): 221-6. [ Links ]
11. Park J, Yang WS, Kim S B, Park SK, Lee SK, Park JS, Chang J W. Usefulness of segmental bioimpedance ratio to determine dry body weight in new hemodialysis patients: a pilot study. Am J Nephrol. 2009; 29(1): 25-30. [ Links ]
12. Schloerb PR, Forster J, Delcore R, Kindscher JD. Bioelectrical impedance in the clinical evaluation of liverdisease. Am J Clin Nutr. 1996; 64: 510S-514S. [ Links ]
13. Schwenk A, Breuer P, Kremer G, Ward L. Clinical assessment of HIV-associated lipodystrophy syndrome: bioelectrical impedance analysis, anthropometry and clinical scores. Clin Nutr 2001; 20 (3): 243 - 9. [ Links ]
14. ORGANIZAÇÃO MUNDIAL DA SAÚDE-OMS. Physical status: the use and interpretation of anthropometry. Genebra, 1995. [ Links ]
15. ORGANIZAÇÃO MUNDIAL DA SAÚDE-OMS. Obesity: preventing and managing the global epidemic. Genebra, 1997. [ Links ]
16. Rotterdam ESHRE/ASRM-Sponsored PCOS Consensus Workshop Group 2004 Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome. Fertil Steril. 2004; 81(1): 19-25. [ Links ]
17. Norman RJ, Davies MJ, Lord JL, Moran LJ. The role of lifestyle modification in polycystic ovary syndrome. TRENDS Endocrinol & Metab. 2002; 13(6): 251-7. [ Links ]
18. Heymsfield SB. Anthropometric measurements: application in hospitalized patients. Infusionstherapie 1990; 17: 48-51. [ Links ]
19. Clarys JP, Marfell-Jones MJ. Anatomical segmentation in humans and the prediction of segmental masses from intra-segmental anfhropometry. Hum Biol 1986; 58:771-82. [ Links ]
20. Organ LW, Bradham GB, Gore DT, Lozier SL. Segmental bioelectrical impedance analysis: theory and application of a new technique. J Appl Physiol 1994;77(1):98-112. [ Links ]
21. Braceo D, Thiébaud D, Chioléro RL, Landry M, Burckhardt P, Schutz Y. Segmental body composition assessed by bioelectrical impedance analysis and DEXAin humans. J Appl Physiol 1996; 81(6): 2580-7. [ Links ]
22. Fuller NJ, Elia M. Potential use of bioelectrical impedance of the "whole body" and of body segments for the assessment of body composition: comparison with densitometry and anfhropometry. Eur J Clin Nutr 1989; 43(11): 779 - 791. [ Links ]
23. Chumlea WC, Baumgartner RN, Mtchell CO. The use of segmental bioelectric impedance in estimating body composition. In: Advances in In Vivo Body Composition Studies, edited by S. Yasumura. New York: Plenum, 1999: 375- 85. [ Links ]
24. Hermsdorff HHM, Monteiro JBR. Gordura visceral, subcutánea ou intramuscular: onde está o problema? ArqBras Endocrinol Metab 2004; 48(6): 803-11. [ Links ]
25. Ryo M, Maeda K, Onda T, Katashma M, Okumiya A, Nishida M, et al. A new simple method for the measurement of visceral fat accumulation by bioelectrical impedance. Diabetes Care 2005; 28(2): 451-3. [ Links ]
26. Snijder MB, Dekker JM, Visser M, Bouter LM, Stehouwer CDA, Yudkin JS, et al. Trunk fat and leg fat have independent and opposite associations with fasting and postload glucose levels. Diabetes Care 2004; 27(2): 372-7. [ Links ]
27. Tafeit E, Moller R, Rackl S, Giuliani A, Urdi W, Freytag U, et al. Subcutaneous adipose tissue in lean and obese women with polycystic ovary syndrome. Exp Biol Med. 2003; 228(6): 710-716. [ Links ]
28. Kirchengast S, Huber J. Body composition characteristics and body fat distribution in lean women with polycystic ovary syndrome. Human Reprodution 2001; 16(6): 1255-1260. [ Links ]
Este trabajo fue recibido el 15 de Julio de 2010 y aceptado para ser publicado el 24 de Agosto de 2010.
Profesora Paula García Chiarello
Rúa Albert Einstein, número 1242.
Bairro: Monte Alegre Cep: 14051-110
Ribeirão Preto-SP Brasil
Fax: (16)3602-3096 e-mail: email@example.com