Impedance vector distribution by sex, race, body mass index, and age in the United States: standard reference intervals as bivariate Z scores

Piccoli, Antônio; Pillon, Luana; Dumler, Francis

doi:10.1016/s0899-9007(01)00665-7

Cited by 206 publications

(187 citation statements)

References 29 publications

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“…4 , 5 The confidence ellipses of different ethnic groups, stratified by gender, did not overlap and the mean vectors were significantly different (P < 0.05) by Hotelling's t test. The Cuban population is characterized by a mixture of several race-ethnicities such as Caucasian, black, half-caste and intercultural influences from Spanish, French, Chinese and black African.…”

Section: Discussionmentioning

confidence: 91%

Reference values of the bioimpedance vector components in a Caribbean population

et al. 2013

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SUMMARY BACKGROUND & AIMSApplication of bioelectrical impedance vector analysis (BIVA) requires comparison of an impedance vector to reference intervals derived from healthy subjects. The aim of this work is to obtain reference nomograms of bioimpedance vectors from healthy subjects living in Santiago de Cuba. METHODSA sample of 4030 healthy people, ages 2-80 y, was measured using a tetra-polar whole-body bioimpedance analyzer at 50 kHz. BIVA method uses the 50, 75 and 95% confidence ellipses of reference populations to classify individual and group vectors. RESULTSThe 95% confidence ellipses derived among boys and girls (2-12 y) were similar (P > 0.05) with significant gender differences (P < 0.05) throughout adulthood. Furthermore, we can observe a progressive decrease in the modulus of the impedance with age with the same phase angle from 13 to 59 y. However, in both genders on subjects >60 y we also observed a phase downfall, possibly due to the reduction of mass and structure, by sarcopenia. CONCLUSIONSReference ellipses are provided, distributed in six sets resulting in age separation intervals (not in gender) for children from 2 to 12 y; two gender specific reference ellipses for teenagers in the range of 13-16 y, for adults from 17 to 59 y and for elderly people from 60 to 80 y.

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Section: Discussionmentioning

confidence: 91%

Reference values of the bioimpedance vector components in a Caribbean population

et al. 2013

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“…Table 2. 39.6 ± 6.5 [25] BIVA, bioelectrical impedance vector analysis; BMI, body mass index * Includes group details, number of participants (n), R/H (Ω/m), xC/H (Ω/m), and reference citations. Notes from BIVA guide-Valhalla BIA device used in M4-6 and F4-6 has higher impedance readings (R × 10 Ω and xC × 12 Ω).…”

Section: Participantsmentioning

confidence: 99%

Bioelectrical impedance vector analysis, phase-angle assessment and relationship with malnutrition risk in a cohort of frail older hospital patients in the United Kingdom

Slee¹,

Birch²,

Stokoe³

2015

Nutrition

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ObjectiveBioelectrical impedance vector analysis (BIVA) and phase angle (PA) have been shown previously to indicate relative nutritional status in patients. The aim of this study was to investigate the application of BIVA and PA assessments in a cohort of frail older hospital patients and compare these assessments with malnutrition risk screening by MUST (Malnutrition Universal Screening Tool), and the MNA-SF® (Mini-Nutritional Assessment-Short Form). MethodsSixty-nine patients (n = 44 men; n = 25 women; age 82.1 ± 7.6 y [range 62-96 y]; body mass index 25.8 ± 5.4 kg/m2 [range 16.6-45.1 kg/m2]) were recruited from hospital wards specializing in the care of frail older individuals from the United Kingdom. Bioelectrical impedance assessment was performed at 50 khz frequency, BIVA was performed using raw impedance data, PA was calculated, and data were compared against reference population groups. Patients were categorized by malnutrition risk by MUST and MNA-SF.

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“…Bioelectrical impedance analysis (BIA) is inexpensive, easy to use, portable, and requires no radiation exposure [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. Thus, BIA may be useful as a portable alternative to DXA [25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Developing and Validating an Age-Independent Equation of Multi-Frequency Bioelectrical Impedance Analysis for Estimation of Appendicular Skeletal Muscle Mass and Establishing Sarcopenia Cutoff

Yamada¹,

Nishizawa²,

Uchiyama³

et al. 2017

Preprint

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Background: Appendicular skeletal muscle (or lean) mass (ALM) estimated by dualenergy X-ray absorptiometry (DXA) is considered to be a preferred method for sarcopenia studies. However, DXA is expensive, has limited portability, and requires radiation exposure. Bioelectrical impedance analysis (BIA) is inexpensive, easy to use, and portable; thus BIA might be useful in sarcopenia investigations. However, a large variety of models have been commercially supplied by different companies, and for most consumer products, the equations estimating ALM are not disclosed. It is therefore difficult to use these equations for research purposes. In particular, the BIA equation is often age-dependent, which leads to fundamental difficulty in examining age-related ALM loss. The aims of the current study were: 1) to develop and validate an equation to estimate ALM using multi-frequency BIA (MF-BIA) using theoretical models, and 2) to establish sarcopenia cutoff values using the equation for the Japanese population. The mean values minus 2 standard deviations of the skeletal muscle mass index (ALM/Ht 2 ) in these participants were 6.8 and 5.7 kg/m 2 in men and women, respectively. Conclusion: the current study established and validated a theoretical and age-independent equation using MF-BIA to estimate ALM and provided reasonable sarcopenia cutoff values.

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Impedance vector distribution by sex, race, body mass index, and age in the United States: standard reference intervals as bivariate Z scores

Cited by 206 publications

References 29 publications

Reference values of the bioimpedance vector components in a Caribbean population

Reference values of the bioimpedance vector components in a Caribbean population

Bioelectrical impedance vector analysis, phase-angle assessment and relationship with malnutrition risk in a cohort of frail older hospital patients in the United Kingdom

Developing and Validating an Age-Independent Equation of Multi-Frequency Bioelectrical Impedance Analysis for Estimation of Appendicular Skeletal Muscle Mass and Establishing Sarcopenia Cutoff

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