Association between phase angle from bioelectrical impedance analysis and level of physical activity: Systematic review and meta-analysis

Mundstock, Eduardo; Amaral, Marina Azambuja; Baptista, Rafael Reimann; Sarria, Edgar E.; Santos, Rejane Rosaria Grecco dos; Filho, Adriano Detoni; Rodrigues, Carlos Alberto Sandre; Forte, Gabriele Carra; Castro, Luciano; Padoin, Alexandre Vontobel; Stein, Ricardo; Pérez, Lisiane Marçal; Ziegelmann, Patrícia Klarmann; Mattiello, Rita

doi:10.1016/j.clnu.2018.08.031

Cited by 83 publications

(77 citation statements)

References 44 publications

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“…The ICW/ECW ratio is identified by the bioelectrical phase angle (PA), which is calculated as the arctangent of Xc/R × 180 • /π [5][6][7]. An increase in ICW/ECW can be a consequence of gain in muscle mass due to physical activity [8][9][10][11]. However, the analysis of only the PA leads to interpretation errors.…”

Section: Introductionmentioning

confidence: 99%

Classic Bioelectrical Impedance Vector Reference Values for Assessing Body Composition in Male and Female Athletes

Campa

Matias

Gatterer

et al. 2019

IJERPH

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Bioimpedance standards are well established for the normal healthy population and in clinical settings, but they are not available for many sports categories. The aim of this study was to develop reference values for male and female athletes using classic bioimpedance vector analysis (BIVA). In this study, 1556 athletes engaged in different sports were evaluated during their off-season period. A tetrapolar bioelectrical impedance analyzer was used to determine measurements of resistance (R) and reactance (Xc). The classic BIVA procedure, which corrects bioelectrical values for body height, was applied, and fat-free mass, fat mass, and total body water were estimated. In order to verify the need for specific references, classic bioelectrical values were compared to the reference values for the general male and female populations. Additionally, athletes were divided into three groups: endurance, velocity/power, and team sports. In comparison with the general healthy male and female populations, the mean vectors of the athletes showed a shift to the left on the R–Xc graph. Considering the same set of modalities, BIVA confidence graphs showed that male and female endurance athletes presented lower body fluids, fat mass, and fat-free mass than other sets of modalities. This study provides BIVA reference values for an athletic population that can be used as a standard for assessing body composition in male and female athletes.

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Section: Introductionmentioning

confidence: 99%

Classic Bioelectrical Impedance Vector Reference Values for Assessing Body Composition in Male and Female Athletes

Campa

Matias

Gatterer

et al. 2019

IJERPH

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“…Nevertheless, the respondents' PA was neither a significant predictor of PhA, nor was it correlated with PhA values. In turn, meta-analysis of cross-sectional studies by Mundstock et al [13] indicated that PhA is higher among persons who are physically active (p<0.001), and in longitudinal studies the mean PhA values were significantly higher in persons who received PA intervention (p=0.002) [13]. It is also known that PhA is positively correlated with the level of general muscular fitness [28].…”

Section: Discussionmentioning

confidence: 99%

“…The prognostic importance of PhA seems to be a derivative of changes in the ECM/BCM ratio, which are associated with the nutritional status [7]. Summing-up, PhA is the marker of cellular health, integrity of the cell wall, functional status and number of cellular membranes, as well as an indicator of the distribution of fluids between interand intracellular space [5,13]. Selberg et al emphasize that PhA values depend primarily on the tissue structure of the limbs [7].…”

Section: Introductionmentioning

confidence: 99%

Anthropometric, body composition and behavioural predictors of bioelectrical impedance phase angle in Polish young adults – preliminary results

Skrzypek¹,

Szponar²,

Drop³

et al. 2020

Ann Agric Environ Med.

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Introduction and objective. Bioimpedance analysis (BIA) phase angle (PhA) is an index of the integrity of cells and cellular membranes. The aim of the study was identification of behavioural and anthropometric predictors of PhA in a group of young adults. Materials and method. A cross-sectional observational study of health behaviours, anthropometric indicators and body composition assessed by the BIA method was conducted in a group of Polish young adults (n=92) aged 18-24 (mean-19.33, STD-0.915). Behavioural variables included: level of physical activity, eating behaviours and nutritional knowledge. Body composition was analysed by means of BIA phase-sensitive 8-electrode medical SECA mBCA 525 device. Results. The mean PhA value in the examined cohort was 6.38±0.75 (males-7.22±0.72; females-6.13±0.57). Males also showed higher statistically significant other body composition indices, excluding fat mass. The multiple regression model, including anthropometric variables and gender, which explained the effect of these variables on PhA, occurred to be significant (p<0.0000) and allowed explanation of the 82.49% of PhA variability. PhA was significantly predicted from body mass index (BMI), absolute fat mass, visceral adipose tissue value, skeletal muscle mass value and gender. The regression model, including behavioural predictors and gender, allowed explanation of the lower percentage of PhA variability (42.75%; p<0.0000) and included general intensity of health behaviours, level of nutritional knowledge, and gender. A regression model which would consider simultaneously anthropometric and behavioural variables could not be constructed. Conclusions. In the examined cohort, anthropometric and body composition variables showed a stronger predictive value with respect to PhA, compared to behavioural variables.

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“…Secondly, the interest in raw BIA variables is even more clearly motivated in sportspeople by the fact that both PhA and IR are promising markers of muscle quality. As a matter of fact, these variables are associated with muscle structure in terms of BCM and ECW/ICW ratio [15,16]; in addition, PhA has been related to muscle strength and physical activity [17][18][19]. Indeed, it is still to be defined to what extent PhA and/or IR varies be-tween different sports and with training/un-training [23].…”

Section: Discussionmentioning

confidence: 99%

“…Actually, the interest in applying BIA in sportspeople is further motivated by the fact that two other raw variables, impedance ratio (IR=the ratio between Z at high frequencies and Z al low frequencies) and PhA, may be both considered as promising markers of muscle quality. These variables are associated with muscle structure in terms of body cell mass (BCM) and ratio between extracellular water and intracellular water (ECW/ICW ratio) [15][16][17]; in addition, IR and PhA have also been related to muscle strength and physical activity [18,19]. Finally, it should be reminded that BIA may be performed on the whole body but also separately on upper limbs and lower limbs (segmental BIA), givingat least in theorythe chance of evaluating appendicular muscle mass [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Body Composition and Bioelectrical Impedance Analysis-Derived Raw Variables in Pole Dancers

Ballarin

Scalfi

Monfrecola

et al. 2020

Preprint

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Background: Pole dance is a type of functional training whose effects on body composition have been only poorly explored. Bioelectrical impedance analysis (BIA)is a field method to estimate fat-free mass (FFM), fat mass (FM), etc. In addition, of particular interest for athletes, raw BIA variables such as impedance ratio =IR (between impedance-Z at high frequencies and Z at low frequencies) and phase angle=PhA may be considered as promising markers of muscle quality since they arerelated to body cell mass (BCM) and the ratio between extracellular water and intracellular water.The aim of the study was to evaluate the effect of pole dancing training on body composition and especially on IR and PhA of the whole body, upper limbs and lower limbs. Methods: Forty female pole dancers (age 27.4±5.1 years, body weight 57.0±6.9 kg, body mass index-BMI 22.2±2.3 kg/m²) and fifty-nine control young women (26.8±4.7 years, 58.6±6.4 kg, BMI 22.3±1.8 kg/m²) participated in the study.BIA was performed on the whole body, upper limbs and lower limbs at 5-50-100-250 kHz. FFM, FFM index, FMand percentage of FM were then predicted. Raw BIA variables were also considered: IR and PhA, and also bioelectrical impedance indexes (stature²/Z, related to body water compartments). Arm muscle area (AMA) and arm fat area (AFA) were calculated from triceps skinfold and arm circumference. Results: Compared to controls pole dancers exhibited higher FFM index and BI indexes at low and high frequencies as well as lower percentage of FM. Whole-body BI indexes correlated with AMA but not with AFA. PhA was greater and IRs were smaller in pole dancers than controls for the whole body and more markedly for upper limbs, whereas there were no differences for lower limbs. When considering training level, professional and amateur pole dancers did not differ with respect to body weight and BMI. After adjusting for weight, FFM and FFMI were greater in the more trained than in the less trained group, while FM and %FM were smaller. Whole-body PhA and IRs as well as BI indexes tended to be higher in the professionalsthan amateurs, with much more significant differences in upper limb PhA and IRs. Conclusions: Pole dance training has a significant effect, possibly depending also on training level, not only on FFM and FM, but also on those raw BIA variables that may be considered as markers of muscle quality.

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Association between phase angle from bioelectrical impedance analysis and level of physical activity: Systematic review and meta-analysis

Cited by 83 publications

References 44 publications

Classic Bioelectrical Impedance Vector Reference Values for Assessing Body Composition in Male and Female Athletes

Classic Bioelectrical Impedance Vector Reference Values for Assessing Body Composition in Male and Female Athletes

Anthropometric, body composition and behavioural predictors of bioelectrical impedance phase angle in Polish young adults – preliminary results

Body Composition and Bioelectrical Impedance Analysis-Derived Raw Variables in Pole Dancers

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