Body composition analysis by bioelectrical impedance

Caton, J. R.; Mol, P. A.; Adams, W. T.; HEUSTIS, DOUGLAS S.

doi:10.1249/00005768-198810000-00010

Cited by 74 publications

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“…The subjects participating in this study were healthy volunteers, had no clinical evidence of oedema or dehydration, and were not suffering from an illness or on medication that was likely to in¯uence the ratio of ECW: TBW volume. Other factors that are known to in¯u-ence BIA estimates of body composition are electrode con®guration, 35 skin temperature, 36 exercise-induced dehydration, 37 prior food consumption, 38,39 and body position. 40 All these variables, however, were controlled for in our study.…”

Section: Discussionmentioning

confidence: 99%

Indirect estimates of body composition are useful for groups but unreliable in individuals

et al. 2000

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OBJECTIVE: To assess the usefulness of the body mass index (BMI) in identifying individuals classi®ed as overweight or obese based on estimates of body fat percentage (BF%) obtained by the deuterium dilution (BF% DD ) method. In addition, to assess the accuracy of bioelectrical impedance analysis (BIA) and skinfold thickness (SFT) measurements in the estimation of body composition of Australians at the individual and group level. DESIGN: Cross-sectional study. SUBJECTS: One hundred and seventeen healthy Australian volunteers of European descent, comprising of 51 males and 66 females, ranging in age from 19 to 77 y. MEASUREMENTS: BMI was calculated from body weight and height. Fat-free mass (FFM) was estimated from measures of total body water (TBW) using deuterium dilution (FFM DD ), SFT using the equations of Durnin and Womersley (Br J Nutr 1974; 32: 77 ± 97) (FFM SFT ), and BIA using the equations of Lukaski et al (J Appl Physiol 1986; 60: 1327 ± 1332) (FFM LU ), Segal et al (Am J Clin Nutr 1988; 47: 7 ± 14) (FFM Se ) and Heitmann (Eur J Clin Nutr 1990; 44: 831 ± 837) (FFM He ). Estimates of fat mass (FM) were calculated as the difference between body weight and FFM, while BF% was calculated by expressing FM as a percentage of body weight. RESULTS: BMI had poor sensitivity and positive predictive value in identifying individuals as being overweightaobese as classi®ed by BF% DD . Furthermore, estimates of FFM (and hence FM) from BIA or SFT could not be used interchangeably with DD, without the risk of considerable error at the individual level. At the group level errors were relatively smaller, though statistically signi®cant. While FFM SFT could be corrected by the addition of the bias (1.2 kg in males and 0.8 kg in females), no simple correction was possible with BIA estimates of FFM for any of the equations used. However, an accurate prediction of FFM DD was possible from the combination of FFM He , biceps SFT and mid-arm circumference in both males and females. The bias of this prediction was small (`0.15 kg), statistically non-signi®cant in both sexes, and unrelated to the mean FFM obtained by the two methods. The revision of Heitmann's estimate of FFM using anthropometric variables described in this study had the best sensitivity (79%), speci®city (96%) and positive predictive value (92%) in identifying overweightaobese individuals in comparison to the other equations tested. CONCLUSION: BMI was a poor surrogate for body fatness in both males and females. The currently recommended equations for the prediction of body composition from SFT and BIA provided inaccurate estimates of FFM both at the individual and group level as compared to estimates from DD. However, Heitmann's equations, when combined with measures of the biceps SFT and mid-arm circumference, provided better estimates of FFM both at the individual and group level.

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Section: Discussionmentioning

confidence: 99%

Indirect estimates of body composition are useful for groups but unreliable in individuals

et al. 2000

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“…electrode placement, side of body, posture, limb position, ambient temperature, skin temperature, hydration status, food and liquid intake, fluid shifts, sweating, and recency of exercise (Caton et al 1988;Roos et al 1992;Shirreffs and Maughan 1994;Gudivaka et al 1996;Armstrong et al 1997;Cheuvront 2005). In this current study, ambient temperature could not have been an error source because it did not change from pre-to post-practice measurements.…”

Section: Many Investigators Have Reported Factors That May Effect Biomentioning

confidence: 99%

“…Fluid and electrolyte shifts occur during and immediately following exercise which effect post-exercise bio-electrical impedance measurements (Koulmann et al 2000). Additionally, many of the sources of error associated with bio-electrical impedance measurement that can be controlled in a clinical or laboratory setting may not be controllable in a field setting such as: posture, limb position, ambient temperature, hydration status, food and liquid intake, fluid shifts, sweating, and recency of exercise (Caton et al 1988;Roos et al 1992;Shirreffs and Maughan 1994;Gudivaka et al 1996;Armstrong et al 1997;Cheuvront 2005).…”

Section: Introductionmentioning

confidence: 99%

A Replication Strategy for Distributed Real-Time Object-Oriented Databases

Peddi¹,

DiPippo²

2002

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2 REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS.

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“…Sendo assim, além de músculos, ossos e órgãos, a mensuração da distribuição da massa gorda corporal, conhecidos como indicadores diretos de gordura, são importantes na avaliação antropométrica. (93,94) Em seguida, encontram-se descritos no Quadro 1, alguns em adultos vivendo com HIV/AIDS parâmetros antropométricos usados na identificação do estado nutricional de indivíduos e/ou populações.…”

Section: Jelliffe (1966) Como "Medidas De Variação Das Dimensões Físiunclassified

“…(89)(90)(91)(92)(93) O IMC foi calculado pela razão entre peso atual (Kg) e estatura (m (110) . A leitura da estatura foi à medida mais próxima a 0,1cm.…”

Section: íNdice De Massa Corporal (Imc)unclassified

Perfil antropométrico e distribuição da gordura corpórea relacionados ao risco cardiovascular em adultos vivendo com HIV/AIDS

Soares¹

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Body composition analysis by bioelectrical impedance

Cited by 74 publications

References 0 publications

Indirect estimates of body composition are useful for groups but unreliable in individuals

Indirect estimates of body composition are useful for groups but unreliable in individuals

A Replication Strategy for Distributed Real-Time Object-Oriented Databases

Perfil antropométrico e distribuição da gordura corpórea relacionados ao risco cardiovascular em adultos vivendo com HIV/AIDS

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