scholarly journals Ethnic differences in fat and muscle mass and their implication for interpretation of bioelectrical impedance vector analysis

2019 ◽  
Vol 44 (6) ◽  
pp. 619-626 ◽  
Author(s):  
Björn Jensen ◽  
Takashi Moritoyo ◽  
Martha Kaufer-Horwitz ◽  
Sven Peine ◽  
Kristina Norman ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Muscle Mass ◽  
Phase Angle ◽  
Ethnic Differences ◽  
Bioelectrical Impedance ◽  
World Health ◽  
Vector Analysis ◽  
Bioelectrical Impedance Vector Analysis ◽  
Impedance Vector

According to the World Health Organization Expert Consultation, current body mass index (BMI) cut-offs should be retained as an international classification. However, there are ethnic differences in BMI-associated health risks that may be caused by differences in body fat or skeletal muscle mass and these may affect the interpretation of phase angle and bioelectrical impedance vector analysis (BIVA). Therefore, the aim of this study was to compare body composition measured by bioelectrical impedance analysis among 1048 German, 1026 Mexican, and 995 Japanese adults encompassing a wide range of ages and BMIs (18–78 years; BMI, 13.9–44.3 kg/m2). Regression analyses between body composition parameters and BMI were used to predict ethnic-specific reference values at the standard BMI cut-offs of 18.5, 25, and 30 kg/m2. German men and women had a higher fat-free mass per fat mass compared with Mexicans. Normal-weight Japanese were similar to Mexicans but approached the German phenotype with increasing BMI. The skeletal muscle index (SMI, kg/m2) was highest in Germans, whereas in BIVA, the Mexican group had the longest vector, and the Japanese group had the lowest phase angle and the highest extracellular/total body water ratio. Ethnic differences in regional partitioning of fat and muscle mass at the trunk and the extremities contribute to differences in BIVA and phase angle. In conclusion, not only the relationship between BMI and adiposity is ethnic specific; in addition, fat distribution, SMI, and muscle mass distribution vary at the same BMI. These results emphasize the need for ethnic-specific normal values in the diagnosis of obesity and sarcopenia.

Phase angle and bioelectrical impedance vector analysis in the evaluation of body composition in athletes

2020 ◽  
Vol 39 (2) ◽  
pp. 447-454 ◽  
Author(s):  
Elisabetta Marini ◽  
Francesco Campa ◽  
Roberto Buffa ◽  
Silvia Stagi ◽  
Catarina N. Matias ◽  
...  
Keyword(s):  
Body Composition ◽  
Phase Angle ◽  
Bioelectrical Impedance ◽  
Vector Analysis ◽  
Bioelectrical Impedance Vector Analysis ◽  
Impedance Vector

scholarly journals Effects of the COVID-19 Lockdown on Body Composition and Bioelectrical Phase Angle in Serie A Soccer Players: A Comparison of Two Consecutive Seasons

Biology ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1175
Author(s):  
Francesco Campa ◽  
Tindaro Bongiovanni ◽  
Athos Trecroci ◽  
Alessio Rossi ◽  
Gianpiero Greco ◽  
...  
Keyword(s):  
Body Composition ◽  
Muscle Mass ◽  
Phase Angle ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Soccer Players ◽  
Bioelectrical Impedance Vector Analysis ◽  
Competitive Season ◽  
Impedance Vector

The present study compared changes in body composition during the COVID-19-associated lockdown with the same period of the following season in elite soccer players. Fifteen elite male soccer players (30.5 ± 3.6 years.) underwent a bioelectrical impedance analysis (BIA) before (end of February) and after (end of May) the lockdown, which occurred during the 2019/2020 season, and at the same period during the following competitive season in 2020/2021, when restrictions were lifted. Fat and muscle mass were estimated using predictive equations, while phase angle (PhA) and bioelectrical impedance vector analysis (BIVA) patterns were directly measured. After lockdown, fat mass remained unchanged (p > 0.05), while muscle mass (95%CI = −1.12/−0.64; ES = −2.04) and PhA (95%CI = 0.51/−0.24, ES = −1.56) decreased. A rightward displacement of the BIVA vector was also found (p < 0.001, ES = 1.50). After the same period during the regular season, FM% and muscle mass did not change (p > 0.05), while the PhA increased (95%CI = 0.01/0.22; ES = 0.63). A leftward vector displacement (p < 0.001, ES = 1.05) was also observed. The changes in muscle mass correlated with changes in PhA (“lockdown” season 2019/2020: ß = −1.128, p = 0.011; “regular” season 2020/21: ß = 1.963, p = 0.011). In conclusion, coaches and strength conditioners should monitor muscle mass in soccer players during detraining periods as this parameter appears to be mainly affected by changes in training plans.

scholarly journals Bioelectrical impedance vector analysis (BIVA) as a method to compare body composition differences according to cancer stage and type

2019 ◽  
Vol 30 ◽  
pp. 59-66 ◽  
Author(s):  
Amara Callistus Nwosu ◽  
Catriona R. Mayland ◽  
Stephen Mason ◽  
Trevor F. Cox ◽  
Andrea Varro ◽  
...  
Keyword(s):  
Body Composition ◽  
Bioelectrical Impedance ◽  
Vector Analysis ◽  
Cancer Stage ◽  
Bioelectrical Impedance Vector Analysis ◽  
Impedance Vector

scholarly journals POS0504 IS BIOELECTRICAL PHASE ANGLE ASSOCIATED WITH FUNCTIONAL STATUS AND DISEASE IMPACT IN PATIENTS WITH RHEUMATOID ARTHRITIS?

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 484.2-485
Author(s):  
M. Ferro ◽  
S. Charneca ◽  
J. Vasques ◽  
E. Dourado ◽  
C. Sousa Guerreiro ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Body Composition ◽  
Statistical Analysis ◽  
Functional Status ◽  
Phase Angle ◽  
Demographic Data ◽  
Bioelectrical Impedance ◽  
Vector Analysis ◽  
Disease Impact ◽  
Impedance Vector

Background:Rheumatoid arthritis (RA) is a chronic inflammatory disease in which an abnormal body composition was reported to be highly prevalent. (1) Bioelectrical phase angle (PhA) is a measure of the relationship between electric resistance and reactance obtained via bioelectrical impedance analysis (BIA). (2) As an indicator of cellular health, PhA has been described as a predictor of worse clinical outcome and higher mortality in various conditions. (3) Since there is evidence that PhA is related to disease progression and prognosis when considering chronic inflammatory conditions, a lower PhA may also be considered an indicator of a worse prognosis in RA. (1)Objectives:To study the association between PhA, functional status and impact of disease in RA patients.Methods:Observational and cross-sectional study, including 53 patients with RA diagnosis according to the ACR/EULAR 2010 criteria. Each patient demographic data was recorded, and body composition, including PhA by BIA, was obtained. BIA was performed using Bodystat QuadScan 4000 equipment. Functional status and impact of disease were assessed using the Health Assessment Questionnaire (HAQ) and the Rheumatoid Arthritis Impact of Disease (RAID) scores, respectively. PhA was stratified by tertiles (lowest, middle and highest) to create groups of patients. Statistical analysis was performed using student’s t-test (IBM SPSS version 26) for comparisons between groups.Results:A total of 53 patients with RA (81.1% women) with an average age of 62.2 ± 10.2 years were assessed. Mean PhA was 5.8 ± 1.7 °. A PhA lower than 5.2 ° (lowest tertile) was recorded in 17 patients; A PhA ranging from 5.2 ° to 6.0 ° (middle tertile) was observed in 18 patients; A PhA greater than 6.0 ° (highest tertile) was seen in 18 patients. Mean HAQ score was 1.43 ± 0.61 in the lowest tertile, 0.85 ± 0.57 in the middle tertile and 0.67 ± 0.57 in the highest tertile. Mean RAID score was 5.86 ± 1.69 in the lowest tertile, 4.73 ± 2.05 in the middle tertile and 3.00 ± 1.94 in the highest tertile. The statistical analysis showed significant differences in both HAQ and RAID scores between the lowest and the highest tertiles (p=0.001 and p <0.001, respectively). Significant differences were also found between the lowest and the middle tertile for HAQ score (p=0.007) and between the middle and the highest tertile for RAID score (p=0.017).Conclusion:In our cohort a lower PhA was significantly associated with higher HAQ and RAID scores, indicating higher disease impact and higher disability in RA patients with lower PhA. These results support the hypothesis that PhA may be investigated as a possible indicator of disease prognosis in RA.References:[1]Pineda-Juárez JA, Lozada-Mellado M, Ogata-Medel M, Hinojosa-Azaola A, Santillán-Díaz C, Llorente L, et al. Body composition evaluated by body mass index and bioelectrical impedance vector analysis in women with rheumatoid arthritis. Nutrition. 2018;53:49–53.[2]Rinaldi S, Gilliland J, O’Connor C, Chesworth B, Madill J. Is phase angle an appropriate indicator of malnutrition in different disease states? A systematic review. Clin Nutr ESPEN. 2019;29:1–14.[3]Norman K, Stobäus N, Pirlich M, Bosy-Westphal A. Bioelectrical phase angle and impedance vector analysis - Clinical relevance and applicability of impedance parameters. Clin Nutr. 2012;31(6):854–61.Disclosure of Interests:None declared

Identifying Athlete Body Fluid Changes During a Competitive Season With Bioelectrical Impedance Vector Analysis

2020 ◽  
Vol 15 (3) ◽  
pp. 361-367 ◽  
Author(s):  
Francesco Campa ◽  
Catarina N. Matias ◽  
Elisabetta Marini ◽  
Steven B. Heymsfield ◽  
Stefania Toselli ◽  
...  
Keyword(s):  
Phase Angle ◽  
Body Fluid ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Free Mass ◽  
Vector Analysis ◽  
Bioelectrical Impedance Vector Analysis ◽  
Competitive Season ◽  
Impedance Vector ◽  
Total Body

Purpose: To analyze the association between body fluid changes evaluated by bioelectrical impedance vector analysis and dilution techniques over a competitive season in athletes. Methods: A total of 58 athletes of both sexes (men: age 18.7 [4.0] y and women: age 19.2 [6.0] y) engaging in different sports were evaluated at the beginning (pre) and 6 months after (post) the competitive season. Deuterium dilution and bromide dilution were used as the criterion methods to assess total body water (TBW) and extracellular water (ECW), respectively; intracellular water (ICW) was calculated as TBW–ECW. Bioelectrical resistance and reactance were obtained with a phase-sensitive 50-kHz bioelectrical impedance analysis device; bioelectrical impedance vector analysis was applied. Dual-energy X-ray absorptiometry was used to assess fat mass and fat-free mass. The athletes were empirically classified considering TBW change (pre–post, increase or decrease) according to sex. Results: Significant mean vector displacements in the postgroups were observed in both sexes. Specifically, reductions in vector length (Z/H) were associated with increases in TBW and ICW (r = −.718, P < .01; r = −.630, P < .01, respectively) and decreases in ECW:ICW ratio (r = .344, P < .05), even after adjusting for age, height, and sex. Phase-angle variations were positively associated with TBW and ICW (r = .458, P < .01; r = .564, P < .01, respectively) and negatively associated with ECW:ICW (r = −.436, P < .01). Phase angle significantly increased in all the postgroups except in women in whom TBW decreased. Conclusions: The results suggest that bioelectrical impedance vector analysis is a suitable method to obtain a qualitative indication of body fluid changes during a competitive season in athletes.

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