This study aimed to compare muscle strength and power indicators according to bioimpedance spectroscopy’s phase angle (PhA) values, in resistance-trained (RT) men, while exploring associations between PhA and performance. Forty-four men aged 18–45 years, engaged in RT, were allocated according to PhA tertiles. Lean soft tissue (LST) and fat mass (%FM) were assessed using dual-energy x-ray absorptiometry; dynamic muscle strength using 1 repetition maximum (1RM) of bench press (BP) and back squat (BS) and muscle power using Wingate test (WT) and countermovement jump (CMJ). For WT and CMJ, the 3rd tertile was significantly higher than the 1st tertile (p = 0.027 and p = 0.018, respectively). Regarding BP 1RM, the 3rd tertile was significantly higher than the 2^nd tertile (p = 0.037). LST better explained the variability in the WT, BS and BP (p =< 0.001), while %FM better accounted for jump height in CMJ (p =< 0.001). PhA was a predictor of performance in both CMJ (p = 0.040) and BP (p = 0.012), independently of LST and %FM. Participants with higher PhA also displayed superior muscle strength of the upper limbs and greater muscle power of the lower limbs. PhA displayed significant moderate associations with performance in CMJ and BP, even after controlling for body composition. Still, LST was the most important predictor of muscle strength and power.

Objective . This study aimed to investigate the capacity of the bioelectrical muscle localized phase angle (ML-PhA) as an indicator of muscle power and strength compared to whole body PhA (WB-PhA). Approach . This study assessed 30 young women (22.1 ± 3.2 years) for muscle power and strength using the Wingate test and isokinetic dynamometer, respectively. Bioimpedance analysis at 50 kHz was employed to assess WB-PhA and ML-PhA. Lean soft tissue (LST) and fat mass (FM) were quantified using dual x-ray absorptiometry. Performance values were stratified into tertiles for comparisons. Regression and mediation analysis were used to test WB-PhA and ML-PhA as performance predictors. Main results . Women in the second tertile of maximum muscle power demonstrated higher ML-PhA values than those in first tertile (13.6° ± 1.5° versus 11.5° ± 1.5°, p = 0.031). WB-PhA was a predictor of maximum muscle power even after adjusting for LST and FM ( β = 0.40, p = 0.039). ML-PhA alone predicted average muscle power ( β = 0.47, p = 0.008). FM percentage was negatively related to ML-PhA and average muscle power, and it mediated their relationship ( b = 0.14; bias-corrected and accelerated 95% confidence interval: 0.007–0.269). Significance . PhA values among tertiles demonstrated no differences and no correlation for strength variables. The results revealed that both WB and ML-PhA may be markers of muscle power in active young women.

Raw data obtained through bioelectrical impedance analysis (BIA) have been applied in different populations to assess body fluids and cell integrity. Assessing raw BIA parameters in specific muscles is an emerging method for evaluating muscle function. We investigated the associations of the BIA-derived variables of resistance (R), reactance (Xc) and phase angle (PhA) measured through whole-body (WB) and muscle-localized (ML) methods with performance in the countermovement jump (CMJ) and 50-meter (m) sprint. Thirty-one male track and field athletes (16.5 ± 1.6 years) were assessed. Fat-free mass (FFM) and Fat mass percentage (%FM) were determined by skinfold thickness. BIA at 50 kHz was employed to obtain the WB and ML (right thigh) parameters. The WB and ML-BIA parameters were adjusted by height (R/H, Xc/H) and segment length (R/L, Xc/L). The CMJ assessment was conducted via a contact mat; the software recorded the jump height. The 50-m sprint time was measured via two sets of photocells. Pearson’s correlation and linear multiple regression were performed. ML-PhA was inversely related to the 50-m sprint (β=-0.56) and by itself explained 29% of the sprint time variation. It remained a significant predictor even after adjusting for age, height, FFM and peak height velocity (PHV). ML-R/L was directly related to 50-m sprint (β = 0.48) and inversely related to CMJ performance (β=-0.54), explaining 20% and 27% of the variation in 50-m sprint and CMJ performance, respectively. Similarly, it remained a significant predictor in the adjusted models. Correlations between WB-BIA (PhA, R/H) and performance tests were found to be dependent on covariates. In this sample, the ML-BIA parameters of R/L and PhA were significantly associated with performance independent of age, height, FFM and PHV. Higher ML-PhA values were associated with better sprint times, whereas higher ML-R/L values were associated with worse sprint times and CMJ performance.

Patients with congenital adrenal hyperplasia due to 21-hydroxylase deficiency (CAH21OHD) have increased fat mass and metabolic alterations. The bioelectrical impedance phase angle (PhA) is an indic...

Phase angle (PhA), derived from bioelectrical impedance analysis, is consistently associated with fat-free mass and cellular integrity and has been widely studied as a prognostic marker in several diseases; however, evidence in paediatric oncology remains limited. This study aimed to describe longitudinal changes in PhA during cancer treatment in children and young people (CYP) and to examine associations with treatment-related complications, nutritional status, and micronutrient biomarkers. Data were drawn from two prospective cohort studies conducted in Scotland and New Zealand. CYP (3-≤7, and >7). Nutritional status categories (eutrophic, overweight and obese) were defined through body mass index and mid-upper arm circumference. Circulating plasma biomarkers included albumin; vitamins A, E, and B12; magnesium; selenium; and zinc. Mixed-effects models were used to assess longitudinal changes and associations. A total of 115 participants were included, with baseline PhA-Z data available for 68. PhA-Z declined from baseline to 3 months (B = -0.82, 95% CI -1.32, -0.32) and to 6 months (B = -0.63, 95% CI -1.17, -0.08). Post hoc analyses indicated recovery at 12 months compared with 3 (p = 0.001, effect size [ES] = 0.63, 95% CI: 0.32 to 0.96) and 6 months (p = 0.019, ES = 0.54, 95% CI: 0.22 to 0.86). Compared with the >7 complications group, participants with ≤3 and >3-≤7 complications showed higher estimated PhA-Z at 6 (B = 2.04; 2.30), 9 (B = 2.79; 2.07), and 12 months (B = 2.20; 1.82) (p < 0.05). Anthropometric nutritional status classifications were not associated with PhA-Z, while albumin, zinc, and selenium were positively associated. PhA-Z declined early and recovered later during therapy. Associations with complication burden and selected micronutrients suggest that PhA may be a promising marker of treatment-related alterations in body composition and physiological status, warranting confirmation in larger prospective studies.