Accuracy of octa‐polar bioelectrical impedance analysis for the assessment of total and appendicular body composition in children and adolescents with <scp>HIV</scp>: comparison with dual energy X‐ray absorptiometry and air displacement plethysmography

Teixeira

Guglielmo

et al. 2021

IJERPH

Objective: To examine the association between phase angle (PhA) and bioelectrical impedance vector analysis (BIVA) and components of physical performance in male youth soccer players. Design: Cross-sectional. Methods: Sixty-two players from two professional soccer academies were recruited. Electrical bioimpedance was used to obtain the PhA and BIVA. Body fat (BF) and lean soft tissue mass (LSTM) were measured by dual-energy X-ray absorptiometry. All players completed physical tests including the standing long jump (SLJ), Carminatti’s test (peak speed at the end of the test, PST-CAR), 10 m and 30 m straight-line sprints, and repeated-sprint ability (RSA) test (RSAbest and RSAmean times). Results: Adjusting for chronological age, BF, and LSTM, multiple regression analysis outputs showed that PhA remained inversely related to RSAmean (β = −0.362; p < 0.001), RSAbest (β = −0.239; p = 0.020), 10 m (β = −0.379; p = 0.012), and 30 m (β = −0.438; p < 0.001) sprint times, while the association with PST-CAR and SLJ performance were statistically non-significant. In addition, BIVA showed that differences in confidence ellipses were found between athletes in the reference population and the study sample (p < 0.05). The tolerance ellipses indicated that the athletes in the present study had more total body water (TCW) and lower proportions of intracellular water (ICW) to extracellular water (ECW). The reference population had more TCW and ICW/ECW. Conclusions: Our results suggest that young soccer players with higher PhA values, indicating better cell integrity and functionality, have better performance in typical anaerobic running activities, such as sprinting speed and RSA performance, adjusted to age and body composition characteristics.

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Phase Angle Is Related to 10 m and 30 m Sprint Time and Repeated-Sprint Ability in Young Male Soccer Players

Teixeira

Guglielmo

et al. 2021

IJERPH

“…Phase angle analysis was performed using electrical bioimpedance (BIA), model InBody ® 720, octopolar multifrequency equipment (Biospace, Los Angeles, CA, USA), previously validated for the evaluation of body composition in HIV-infected children and adolescents. 18 BIA provided impedance (Z) and reactance (Xc) data. From these variables with frequency of 50 kHz, the resistance values (R) were calculated.…”

Section: Phase Anglementioning

confidence: 99%

Phase angle is associated with the physical fitness of HIV‐infected children and adolescents

Scandinavian Med Sci Sports

Lima

Silva

et al. 2019

The objective of this study was to identify the association of phase angle with physical fitness in children and adolescents infected with HIV. Sixty‐four children and adolescents infected with HIV (8‐15 years old) were tested for vertical transmission. The electrical bioimpedance was used to obtain the phase angle. Body fat (BF) and lean soft tissue mass (LSTM) were measured by x‐ray absorptiometry, and the manual grip strength was evaluated by dynamometry. The peak oxygen consumption (VO2 peak) was measured by respiratory change in a submaximal incremental test. Moderate‐vigorous physical activity (MVP) and sedentary behavior were measured using accelerometers and were used as covariates. Multiple linear regression was used. The linear correlation analyses demonstrated that the phase angle was inversely proportional to relative BF (r = −0.26), but was not associated with absolute body fat (r = −0.02). The phase angle was directly associated with LSTM (r = 0.57), handgrip strength, and (r = 0.43) peak VO2 (r = 0.55). The phase angle was not associated with absolute BF (β = −0.017, P = 0.413) and relative (β = −0.014, P = 0.175). The phase angle presented a direct association with LSTM (β = 0.041, P = 0.019) and peak VO2 (β = 0.005; P = 0.019), regardless of age, sex, sexual maturation, MVPA, sedentary behavior, antiretroviral drugs, and viral load. No association was found between phase angle and handgrip strength (β = 0.153; P = 0.199). It was concluded that phase angle was associated with LSTM and the aerobic fitness in HIV‐infected children and adolescents.

“…The technique provided impedance and reactance data at frequency of 50 kHz, calculating the resistance value, and then the phase angle using the arc tangent formula (Xc / R) × 180°/ π 3 , with values expressed in degrees. The BIA model used presented acceptable reproducibility and accuracy level for the estimation of body composition tissues at frequency of 50 kHz, when compared to plethysmography and dual Xray absorptiometry [22]. In addition, the manufacturer reinforces that high accuracy level is obtained by following the correct measurement procedures.…”

Section: Bioelectrical Impedance Vector Analysis (Biva)mentioning

confidence: 75%

Bioelectrical impedance vector analysis (BIVA) in university athletes

Journal of the International Society of Sports Nutrition

Gobbo

Silva

2021

Background Bioelectrical impedance vector analysis (BIVA) is able to identify differences in hydration status and body composition components, such as body cell mass (BCM) by means of plotting individuals in ellipses, when comparing groups with different characteristics. Objective Compare the confidence and tolerance ellipses of BIVA in individual and team sports athletes with a non-athlete reference population. Design and participants One hundred sixty-seven college athletes (team sports: 117 athletes, individual sports: 50 athletes) aged between 18 and 35 years. Bioelectrical impedance was used to measure resistance (R) and reactance (Xc) values that were used in the BIVA analysis to identify hydration status and BCM, respectively. Hotelling’s t-test was used to identify differences between groups in the confidence ellipses and the comparison was made with a non-athlete Italian reference population. Results There were no differences between male team sports and individual athletes (p = 0.151) and for female athletes (p = 0.624). Most athletes were located in the 50% tolerance ellipses, indicating adequate hydration. Compared to the Italian a non-athlete population, athletes of both sexes presented left impedance vector deviation in the minor axis (Xc) of the tolerance ellipses, indicating higher BCM. Conclusion There were no differences in BIVA between team and individual sports athletes, but most athletes presented an adequate hydration state and, compared to a non-athlete population, the athletes of the present study presented higher BCM.