Physical training over 6 months is associated with improved changes in phase angle, body composition, and blood glucose in healthy young males

Langer, Raquel David; Silva, Analiza M.; Borges, Juliano Henrique; Cirolini, Vagner X.; Páscoa, Mauro Alexandre; Guerra‐Júnior, Gil; Gonçalves, Ezequiel Moreira

doi:10.1002/ajhb.23275

Cited by 19 publications

(15 citation statements)

References 36 publications

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“…People with the highest physical activity had a higher mean phase angle than those with the lowest physical activity, but were also the youngest [11]. Similarly, longitudinal studies showed that the implementation of a physical activity program in non-athletes led to an increase in phase angle [12,13]. Interestingly, the phase angle values found in our runners are similar to the reference population data that we have published earlier [8].…”

Section: Discussionsupporting

confidence: 86%

Association of phase angle and running performance

Genton

Mareschal

Norman

et al. 2020

Clinical Nutrition ESPEN

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Background: A high phase angle derived from bioelectrical impedance analysis has been linked to a high level of physical activity. However, it is unknown whether a high phase angle is related to running performance. Methods: We included all subjects who participated for the first time to the Course de l'Escalade between 1999 and 2016, a yearly city run occurring in Geneva. The subjects underwent a measurement by 50-kHz tetrapolar bioelectrical impedance analysis (Nutriguard®). Running time was converted to running speed in km/h. Results are shown as mean (SD) and as frequencies. We performed sex-specific univariate and multivariate regressions, adjusted for age, body mass index, categories of running distance and year of measurement, to evaluate whether the phase angle is associated with running speed. Results: We analyzed 2264 subjects (1025 women and 1239 men). In univariate regressions, phase angle was significantly related to running speed in women (coeff 0.52, 95% CI 0.35e0.67, p < 0.001, adjusted R 2 0.037) and men (coeff 0.57, 95% CI 0.42e0.73, p < 0.001, adjusted R 2 0.039). Multivariate regressions showed that the phase angle was still significantly associated with running speed in women and men (p < 0.001 for both models), with an adjusted R 2 of 0.262 and 0.282, respectively. Conclusions: The phase angle is positively associated with running performance in men and women. It remains to be demonstrated if this association reflects the benefit of regular training and whether the phase angle might be suitable to monitor improvements in running performance. Clinical trial registry: clinicaltrials.gov, identifier: NCT03400761.

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Section: Discussionsupporting

confidence: 86%

Association of phase angle and running performance

Genton

Mareschal

Norman

et al. 2020

Clinical Nutrition ESPEN

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“…Muscle power was assessed by a supramaximal cycling test (Wingate) using a cycle ergometer (Monark ergomedic 894 E, Monark Exercise AB; Vansbro, Sweden), and CMJ, using a contact platform controlled by an open-source hardware and software model (Chronojump Boscosystems; Barcelona, Spain), as previously described [ 31 ].…”

Section: Methodsmentioning

confidence: 99%

“…Research in older adults has shown that RT increases PhA [ 10 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 ]; with similar results being observed in obese women [ 28 ], RT-trained women [ 29 ] and untrained young adults of both genders [ 30 ]. In addition, another study [ 31 ] conducted with young males (18.8 ± 0.5 years) showed improvements in PhA after 6 months of military training.…”

Section: Introductionmentioning

confidence: 98%

Association between Phase Angle from Bioelectric Impedance and Muscular Strength and Power in Physically Active Adults

Fukuoka¹,

Oliveira

Matias

et al. 2022

Biology

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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 2nd 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.

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“…Before each session, all participants went through ~8 stretching exercises, ~7 neuromuscular warm-up, and ~7 general warm-up exercises. For sports training, each participant performed specific training for each modality [32,33].…”

Section: Military Physical Trainingmentioning

confidence: 99%

Effect of Physical Training on Body Composition in Brazilian Military

Gobbo

Langer

Marini

et al. 2022

IJERPH

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The military are selected on the basis of physical standards and are regularly involved in strong physical activities, also related to particular sports training. The aims of the study were to analyze the effect of a 7-month military training program on body composition variables and the suitability of specific ‘bioelectrical impedance vector analysis’ (spBIVA), compared to DXA, to detect the changes in body composition. A sample of 270 male Brazilian cadets (19.1 ± 1.1 years), composed of a group practicing military physical training routine only (MT = 155) and a group involved in a specific sport training (SMT = 115), were measured by body composition assessments (evaluated by means of DXA and spBIVA) at the beginning and the end of the military routine year. The effect of training on body composition was similar in SMT and MT groups, with an increase in LST. DXA and spBIVA were correlated, with specific resistance (Rsp) and reactance (Xcsp) positively related to fat mass (FM), FM%, LST, and lean soft tissue index (LSTI), and phase angle positively related to LST and LSTI. Body composition variations due to physical training were recognized by spBIVA: the increase in muscle mass was indicated by the phase angle and Xcsp increase, and the stability of FM% was consistent with the unchanged values of Rsp. Military training produced an increase in muscle mass, but no change in FM%, independently of the sample characteristics at baseline and the practice of additional sports. SpBIVA is a suitable technique for the assessment of body composition in military people.

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Physical training over 6 months is associated with improved changes in phase angle, body composition, and blood glucose in healthy young males

Cited by 19 publications

References 36 publications

Association of phase angle and running performance

Association of phase angle and running performance

Association between Phase Angle from Bioelectric Impedance and Muscular Strength and Power in Physically Active Adults

Effect of Physical Training on Body Composition in Brazilian Military

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