Publications

2024

Rosa G., Hetherington-Rauth M., Magalhães J., Correia I., Bernardino A., Sardinha L.

Clinical Nutrition

The study examined the relationship between phase angle (PhA) and muscle strength in the upper and lower limbs, independent of LSTM. The analysis revealed a significant association between regional PhA and relative, but not absolute, strength.

2024

Polara G., Montagnoli A., Palazzo R., Orlandi M., Mascherini G., Corsi M., Falconi E., Stefani L.

Journal of functional morphology and kinesiology

This study highlights the significance of body composition analysis in sports medicine and prescribed exercise for liver and kidney transplant patients. It suggests a potential correlation between body composition and cardiopulmonary capacity.

2018

Giorgi A., Vicini M., Pollastri L., Lombardi E., Magni E., Andreazzoli A., Orsini M., Bonifazi M., Lukaski H., Gatterer H.

Journal of sports sciences

This study performed vector bioimpedance analysis (BIVA) on 525 male cyclists. The results showed that élite cyclists had higher BCM and PhA values compared to both the general male population and amateur cyclists.

2023

Campa F., Bongiovanni T., Rossi A., Cerullo G., Casolo A., Martera G., Trecroci A., Moro T., Paoli A.

Journal of Translational Medicine

This study developed customized predictive models for calculating FFM in elite soccer players. These models eliminate the bias of generalized formulas, which often underestimate FFM in elite athletes.

2022

Campa F., Thomas D., Watts K., Clark N., Baller D., Morin T., Toselli S., Koury J., Melchiorri G., Andreoli A., Mascherini G., Petri C., Sardinha L., Silva A.

Biology

This is the first study that presents reference percentiles (5°, 15°, 50°, 85°, 95°) for phase angle in male and female athletes across various sports. These percentiles are useful for monitoring body composition and evaluating athletic performance.

2020

Sardinha L., Correia I., Magalhães J., Judice P., Silva A., Hetherington-Rauth M.

European journal of clinical nutrition

Equations were developed to estimate limb LST in athletes using bioimpedance analysis. These equations provide specific values for the sports population and were validated against DXA.

2013

Reljic D., Hässler E., Jost J., Friedmann-Bette B.

Journal of athletic training

The dehydration caused by the rapid loss of body mass in the five days before the competition is shown from BIVA analysis. Therefore, BIVA is a valuable method for monitoring hydration status during the cut phase anticipating the competition.

2021

Campa F., Toselli S., Mazzilli M., Gobbo L.A. and Coratella G.

Nutrients

Athletes’ health and performance are known to be strictly related to their body composition. Very recently, specific equations and references have been made available for this sport-specific population.
The narrative review summarizes current literature with a special focus on BIA and BIVA technologies in athletes, therefore providing recommendations for the assessment of body composition in these subjects and highlighting new perspectives in monitoring the nutritional status and seasonal changes in athletes.

2020

Toselli S., Marini E., Maietta Latessa P., Benedetti L., Campa F.

International Journal of Environmental Research and Public Health

The study gives new references for BIVA analysis on football elite players from men’s youth sector. Classic BIVA analysis highlights an increase in TBW with the progressive somatic development, whilst FM% remains at similar levels. Athletes with early physical development are characterized by shorter vectors and a higher phase angle in respect of peers that develop later.

2018

Castizo-Olier J., Carrasco-Marginet M., Roy A., Chaverri D., Iglesias X., Pérez-Chirinos C., Irurtia A.

Journal of Sports Science & Medicine

Triathletes show specific bioimpedance patterns. BIVA analysis enables tracking of fluid loss and muscle fatigue induced by the competitive event and shows a correlation with several performance parameters.

2020

Campa F., Silva A. M., Talluri J., Matias C. N., Badicu G., Toselli, S.

Sustainability

BIVA analysis combined with the study of the athlete’s anthropometry defines a new target zone within the Biavector™ for distinguishing between athletes involved in team sports belonging to the same categories but with different performance levels.

Multicentric trial

2020

Marini, E., Campa, F., Buffa, R., Stagi, S., Matias, C. N., Toselli, S. Silva, A. M. 

Clinical Nutrition

In athletic population, specific BIVA approach seems to be more accurate to evaluate variations in FM%, whilst classic BIVA enables to evaluate TBW with more precision. Both approaches enable to evaluate changes in ECW/ICW through phase angle.