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Article ; Online: Editorial

Catarina N. Matias / Stefania Toselli / Cristina P. Monteiro / Francesco Campa

International Journal of Environmental Research and Public Health, Vol 19, Iss 5855, p

New Training Strategies and Evaluation Methods for Improving Health and Physical Performance

2022 Volume 5855

Abstract: Physical activity is among the most effective methods for improving health, body composition, and physical function, and its practice is suitable for every population [.] ...

Abstract	Physical activity is among the most effective methods for improving health, body composition, and physical function, and its practice is suitable for every population [.]
Keywords	n/a ; Medicine ; R
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Somatotype and Bioimpedance Vector Analysis

Francesco Campa / Analiza M. Silva / Jacopo Talluri / Catarina N. Matias / Georgian Badicu / Stefania Toselli

Sustainability, Vol 12, Iss 4365, p

A New Target Zone for Male Athletes

2020 Volume 4365

Abstract: Background : Bioelectrical impedance vector analysis (BIVA) is a body composition assessment method based on the interpretation of the raw bioimpedance parameters. While it was initially proposed in clinical settings, its use in the sports field has ... ...

Abstract	Background : Bioelectrical impedance vector analysis (BIVA) is a body composition assessment method based on the interpretation of the raw bioimpedance parameters. While it was initially proposed in clinical settings, its use in the sports field has grown considerably. The aim of this study was: (i) to explore the role of somatotype on BIVA patterns and (ii) to propose a new target zone to improve BIVA analysis in ball games athletes. Methods: One hundred and sixty-four male volleyball, soccer, and rugby players (age 26.2 ± 4.4 yrs; body mass index (BMI) 25.4 ± 2.4 kg/m 2 ) were included in this study. Somatotype and BIVA were measured from anthropometric and bioelectrical data, respectively. Results: Forty-six athletes were classified with an endomorphic mesomorphic somatotype, 26 showed a balanced mesomorphy, 55 were ectomorphic mesomorph, 10 resulted as mesomorph ectomorphs, 13 with a mesomorphic ectomorph somatotype, and in 14 athletes a balanced ectomorphy was assessed. The results of the Hotelling’s T 2 test showed significant differences in BIVA patterns for the endomorphic mesomorph group ( p < 0.001) in comparison with all the other groups, while mesomorphic balanced athletes presented a more inclined vector compared to the athletes with a balanced ectomorphy ( p < 0.003). In addition, the endomorphic mesomorph group showed a greater BMI ( p < 0.001) with respect to the athletes grouped in the other somatotype categories. Discriminant analysis revealed two significant functions ( p < 0.001). The first discriminant function primarily represented differences based on the bioelectrical standardized resistance parameter (R/H) measure, while the second function reflected differences based on the bioelectrical standardized reactance parameter (Xc/H). Conclusions: Athletes presenting a higher endomorphic component have a lower vector, whereas those with a larger mesomorphic component display higher vector inclinations on the R/Xc graph. We propose a new target zone to improve the interpretation of BIVA analysis in athletes engaged in team sports.
Keywords	Anthropometry ; BIVA ; body composition ; body shape ; phase angle ; vector length ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	796
Language	English
Publishing date	2020-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Prediction of Somatotype from Bioimpedance Analysis in Elite Youth Soccer Players

Francesco Campa / Catarina N. Matias / Pantelis T. Nikolaidis / Henry Lukaski / Jacopo Talluri / Stefania Toselli

International Journal of Environmental Research and Public Health, Vol 17, Iss 8176, p

2020 Volume 8176

Abstract: The accurate body composition assessment comprises several variables, causing it to be a time consuming evaluation as well as requiring different and sometimes costly measurement instruments. The aim of this study was to develop new equations for the ... ...

Abstract	The accurate body composition assessment comprises several variables, causing it to be a time consuming evaluation as well as requiring different and sometimes costly measurement instruments. The aim of this study was to develop new equations for the somatotype prediction, reducing the number of normal measurements required by the Heath and Carter approach. A group of 173 male soccer players (age, 13.6 ± 2.2 years, mean ± standard deviation; body mass index, BMI, 19.9 ± 2.5 kg/m 2 ), members of the academy of a professional Italian soccer team participating in the first division (Serie A), participated in this study. Bioelectrical impedance analysis (BIA) was performed using the single frequency of 50 kHz and fat-free mass (FFM) was calculated using a BIA specific, impedance based equation. Somatotype components were estimated according to the Heath-Carter method. The participants were randomly split into development ( n = 117) and validation groups ( n = 56). New anthropometric and BIA based models were developed (endomorphy = −1.953 − 0.011 × stature 2/ resistance + 0.135 × BMI + 0.232 × triceps skinfold, R 2 = 0.86, SEE = 0.28; mesomorphy = 6.848 + 0.138 × phase angle + 0.232 × contracted arm circumference + 0.166 × calf circumference − 0.093 × stature, R 2 = 0.87, SEE = 0.40; ectomorphy = − 5.592 − 38.237 × FFM/stature + 0.123 × stature, R 2 = 0.86, SEE = 0.37). Cross validation revealed R 2 of 0.84, 0.80, and 0.87 for endomorphy, mesomorphy, and ectomorphy, respectively. The new proposed equations allow for the integration of the somatotype assessment into BIA, reducing the number of collected measurements, the instruments used, and the time normally required to obtain a complete body composition analysis.
Keywords	anthropometry ; BIA ; body composition ; football ; predictive equation ; Medicine ; R
Subject code	333
Language	English
Publishing date	2020-11-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Corrigendum to “Acid ceramidase improves mitochondrial function and oxidative stress in Niemann-Pick type C disease by repressing STARD1 expression and mitochondrial cholesterol accumulation” [Redox Biol. 2021 45 102052]

S. Torres / E. Solsona-Vilarrasa / S. Nuñez / N. Matías / N. Insausti-Urkia / F. Castro / M. Casasempere / G. Fabriás / J. Casas / C. Enrich / J.C. Fernández-Checa / C. Garcia-Ruiz

Redox Biology, Vol 50, Iss , Pp 102231- (2022)

2022

Keywords	Medicine (General) ; R5-920 ; Biology (General) ; QH301-705.5
Language	English
Publishing date	2022-04-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Bioelectrical Impedance Vector Analysis Discriminates Aerobic Power in Futsal Players

Catarina N. Matias / Francesco Campa / Giuseppe Cerullo / Giuseppe D’Antona / Rita Giro / João Faleiro / Joana F. Reis / Cristina P. Monteiro / Maria J. Valamatos / Filipe J. Teixeira

Biology, Vol 11, Iss 505, p

The Role of Body Composition

2022 Volume 505

Abstract: Aims: The present study aimed to assess the ability of bioelectrical impedance vector analysis (BIVA) in discriminating fitness levels in futsal players, exploring the association of body composition and bioelectrical parameters with aerobic power. ... ...

Abstract	Aims: The present study aimed to assess the ability of bioelectrical impedance vector analysis (BIVA) in discriminating fitness levels in futsal players, exploring the association of body composition and bioelectrical parameters with aerobic power. Methods: Forty-eight professional futsal players (age 23.8 ± 5.3 years) were involved in a cross-sectional study during their pre-season phase. Fat mass (FM) and muscle mass were determined by dual-energy X-ray absorptiometry. VO 2max was obtained by indirect calorimetry through a graded exercise test performed on a treadmill. Bioelectrical resistance (R), reactance (Xc), and phase angle (PhA) were directly measured using a foot-to-hand bioimpedance technology at a 50 kHz frequency. Bioelectric R and Xc were standardized for the participants’ height and used to plot the bioimpedance vector in the R-Xc graph according to the BIVA approach. Results: The participants divided into groups of VO 2max limited by tertiles showed significant differences in mean vector position in the R-Xc graph ( p < 0.001), where a higher VO 2max resulted in a longer vector and upper positioning. FM, muscle mass, and PhA differed ( p < 0.01) among the athletes grouped by tertiles of VO 2max , where athletes with a greater aerobic power showed a lower percentage of FM and a higher percentage of muscle mass and PhA. FM and PhA were associated with VO 2max (FM: r = −0.658, p < 0.001; PhA: r = 0.493, p < 0.001). These relationships remained significant after adjusting for age and body mass (FM: ß = −0.335, p = 0.046; PhA: ß = 0.351, p = 0.003). Conclusions: Bioelectrical impedance vectors positioned on the lower pole of the R-Xc graph identified futsal players with a lower VO 2max , while longer vectors corresponded to a greater aerobic power. Additionally, PhA, that describes the vector direction, was positively associated with VO 2max , while a higher FM negatively affected VO 2max in the futsal players. BIVA and PhA evaluation may represent a valid support for screening the aerobic ...
Keywords	athletes ; BIA ; BIVA ; fat mass ; phase angle ; performance ; Biology (General) ; QH301-705.5
Subject code	796
Language	English
Publishing date	2022-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Phase Angle as a Marker of Muscular Strength in Breast Cancer Survivors

Catarina N. Matias / Joana Cavaco-Silva / Mafalda Reis / Francesco Campa / Stefania Toselli / Luís Sardinha / Analiza M. Silva

International Journal of Environmental Research and Public Health, Vol 17, Iss 4452, p

2020 Volume 4452

Abstract: Background: accurate prognostic tools are relevant for decision-making in cancer care. Objective measures, such as bioelectrical impedance (BI), have the potential to improve prognostic accuracy for these patients. This cross-sectional study aimed to ... ...

Abstract	Background: accurate prognostic tools are relevant for decision-making in cancer care. Objective measures, such as bioelectrical impedance (BI), have the potential to improve prognostic accuracy for these patients. This cross-sectional study aimed to investigate whether phase angle (PhA) derived from the electrical properties of the body tissues is a predictor of muscular strength in breast cancer survivors (BCS). Methods: a total of 41 BCS (age 54.6 ± 9.2 years) were evaluated. PhA, obtained at frequency 50 kHz, was assessed with BI spectroscopy, and muscular strength with a handgrip dynamometer. Moderate-to-vigorous physical activity (MVPA) was assessed using the International Physical Activity Questionnaire (IPAQ). Measurements were performed in the morning after an overnight fast. Results: linear regression analysis showed that PhA accounted for 22% (r 2 = 0.22) of muscular strength variance. PhA remained a borderline predictor of muscular strength variance independently of age and MVPA. Conclusions: the findings of this study suggest that PhA is a significant predictor of maximal forearm isometric strength and a potential indicator of disease-related functionality in BCS.
Keywords	body composition ; breast cancer ; bioimpedance ; handgrip strength ; Medicine ; R
Subject code	796
Language	English
Publishing date	2020-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Phase Angle Is a Marker of Muscle Quantity and Strength in Overweight/Obese Former Athletes

Catarina N. Matias / Francesco Campa / Catarina L. Nunes / Rubén Francisco / Filipe Jesus / Miguel Cardoso / Maria J. Valamatos / Pedro Mil Homens / Luís B. Sardinha / Paulo Martins / Cláudia Minderico / Analiza M. Silva

International Journal of Environmental Research and Public Health, Vol 18, Iss 6649, p

2021 Volume 6649

Abstract: Background: An increasing body of evidence indicates that the phase angle (PhA) can be applied as a marker of nutritional status, disease prognosis, and mortality probability. Still, it is not known whether PhA can be used as an indicator of muscular ... ...

Abstract	Background: An increasing body of evidence indicates that the phase angle (PhA) can be applied as a marker of nutritional status, disease prognosis, and mortality probability. Still, it is not known whether PhA can be used as an indicator of muscular quantity and strength and maximal aerobic capacity in overweight/obese former highly active individuals, an understudied population. This study aimed to analyze the association between PhA with skeletal muscle mass, maximal isometric strength, and maximal aerobic capacity through VO2max, in overweight/obese and inactive former athletes. Methods: Cross-sectional information of 94 (62 males) former adult athletes (age: 43.1 ± 9.4 years old; body mass index: 31.4 ± 4.8 kg/m 2 ) taking part in a weight-loss clinical trial was analyzed. Total fat and fat-free mass were determined by dual-energy X-ray absorptiometry, while skeletal muscle mass was predicted from appendicular lean soft tissue. Values for upper- and lower-body maximal isometric strength were assessed by handgrip and leg press dynamometry. VO2max was determined by indirect calorimetry through a graded exercise test performed on a treadmill. Results: PhA was associated with skeletal muscle mass (r = 0.564, p < 0.001), upper-body strength (r = 0.556, p < 0.001), lower-body strength (r = 0.422, p < 0.001), and VO2max (r = 0.328, p = 0.013). These relationships remained significant for skeletal muscle mass (β = 2.158, p = 0.001), maximal isometric strength (upper-body: β = 2.846, p = 0.012; low-er-body: β = 24.209, p = 0.041) after adjusting for age, sex, and fat mass but not for VO2max (β = −0.163, p = 0.098). Conclusion: Our findings indicated that former athletes with higher values of PhA exhibited greater muscle mass and strength, despite sex, age, and body composition, which suggests that this simple raw BI parameter can be utilized as an indicator of muscle quantity and functionality in overweight/obese former athletes.
Keywords	body composition ; bioelectrical impedance ; skeletal muscle ; strength ; phase angle ; Medicine ; R
Subject code	796
Language	English
Publishing date	2021-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Predictive Role of Raw Bioelectrical Impedance Parameters in Water Compartments and Fluid Distribution Assessed by Dilution Techniques in Athletes

Ruben Francisco / Catarina N. Matias / Diana A. Santos / Francesco Campa / Claudia S. Minderico / Paulo Rocha / Steven B. Heymsfield / Henry Lukaski / Luís B. Sardinha / Analiza M. Silva

International Journal of Environmental Research and Public Health, Vol 17, Iss 3, p

2020 Volume 759

Abstract: The aims of this study were to analyze the usefulness of raw bioelectrical impedance (BI) parameters in assessing water compartments and fluid distribution in athletes. A total of 202 men and 71 female athletes were analyzed. Total body water (TBW) and ... ...

Abstract	The aims of this study were to analyze the usefulness of raw bioelectrical impedance (BI) parameters in assessing water compartments and fluid distribution in athletes. A total of 202 men and 71 female athletes were analyzed. Total body water (TBW) and extracellular water (ECW) were determined by dilution techniques, while intracellular water (ICW) was calculated. Fluid distribution was calculated as the ECW/ICW ratio (E:I). Phase angle (PhA), resistance (R) and reactance (Xc) were obtained through BI spectroscopy using frequency 50kHz. Fat (FM) and fat-free mass (FFM) were assessed by dual-energy X-ray absorptiometry. After adjusting for height, FM, FFM, age and sports category we observed that: PhA predicted ICW (females: β = 1.62, p < 0.01; males: β = 2.70, p < 0.01) and E:I (males and females: β = −0.08; p < 0.01); R explained TBW (females: β = −0.03; p < 0.01; males: β = −0.06; p < 0.01) and ECW (females: β = −0.02, p < 0.01; males: β = −0.03, p < 0.01) and ICW (females: β = −0.01, p < 0.053; males: β = −0.03 p < 0.01); and Xc predicted ECW (females: β = −0.06, p < 0.01; males: β = −0.12, p < 0.01). A higher PhA is a good predictor of a larger ICW pool and a lower E:I, regardless of body composition, age, height, and sports category. Lower R is associated with higher water pools whereas ECW expansion is explained by lower Xc. Raw BI parameters are useful predictors of total and extracellular pools, cellular hydration and fluid distribution in athletes.
Keywords	phase angle ; resistance ; reactance ; bioimpedance ; health ; Medicine ; R
Subject code	796 ; 590
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Body Water Content and Morphological Characteristics Modify Bioimpedance Vector Patterns in Volleyball, Soccer, and Rugby Players

Francesco Campa / Analiza M. Silva / Catarina N. Matias / Cristina P. Monteiro / Antonio Paoli / João Pedro Nunes / Jacopo Talluri / Henry Lukaski / Stefania Toselli

International Journal of Environmental Research and Public Health, Vol 17, Iss 6604, p

2020 Volume 6604

Abstract: Background : Bioimpedance vector analysis (BIVA) is a widely used method based on the interpretation of raw bioimpedance parameters to evaluate body composition and cellular health in athletes. However, several variables contribute to influencing BIVA ... ...

Abstract	Background : Bioimpedance vector analysis (BIVA) is a widely used method based on the interpretation of raw bioimpedance parameters to evaluate body composition and cellular health in athletes. However, several variables contribute to influencing BIVA patterns by militating against an optimal interpretation of the data. This study aims to explore the association of morphological characteristics with bioelectrical properties in volleyball, soccer, and rugby players. Methods: 164 athletes belonging to professional teams (age 26.2 ± 4.4 yrs; body mass index (BMI) 25.4 ± 2.4 kg/m 2 ) underwent bioimpedance and anthropometric measurements. Bioelectric resistance (R) and reactance (Xc) were standardized for the athlete’s height and used to plot the vector in the R-Xc graph according to the BIVA approach. Total body water (TBW), phase angle (PhA), and somatotype were determined from bioelectrical and anthropometric data. Results: No significant difference ( p > 0.05) for age and for age at the start of competition among the athletes was found. Athletes divided into groups of TBW limited by quartiles showed significant differences in the mean vector position in the R-Xc graph ( p < 0.001), where a higher content of body fluids resulted in a shorter vector and lower positioning in the graph. Furthermore, six categories of somatotypes were identified, and the results of bivariate and partial correlation analysis highlighted a direct association between PhA and mesomorphy ( r = 0.401, p < 0.001) while showing an inverse correlation with ectomorphy ( r = −0.416, p < 0.001), even adjusted for age. On the contrary, no association was observed between PhA and endomorphy ( r = 0.100, p = 0.471). Conclusions: Body fluid content affects the vector length in the R-Xc graph. In addition, the lateral displacement of the vector, which determines the PhA, can be modified by the morphological characteristics of the athlete. In particular, higher PhA values are observed in subjects with a high mesomorphic component, whereas lower values are found when ectomorphy is dominant.
Keywords	body composition ; BIVA ; phase angle ; R-Xc graph ; somatotype ; total body water ; Medicine ; R
Subject code	796
Language	English
Publishing date	2020-09-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Bioimpedance Vector Patterns Changes in Response to Swimming Training

Joana F. Reis / Catarina N. Matias / Francesco Campa / José P. Morgado / Paulo Franco / Pedro Quaresma / Nuno Almeida / Dalia Curto / Stefania Toselli / Cristina P. Monteiro

International Journal of Environmental Research and Public Health, Vol 17, Iss 4851, p

An Ecological Approach

2020 Volume 4851

Abstract: Background and aim: Monitoring bioelectric phase angle (PhA) provides important information on the health and the condition of the athlete. Together with the vector length, PhA constitutes the bioimpedance vector analysis (BIVA) patterns, and their joint ...

Abstract	Background and aim: Monitoring bioelectric phase angle (PhA) provides important information on the health and the condition of the athlete. Together with the vector length, PhA constitutes the bioimpedance vector analysis (BIVA) patterns, and their joint interpretation exceeds the limits of the evaluation of the PhA alone. The present investigation aimed to monitor changes in the BIVA patterns during a training macrocycle in swimmers, trying to ascertain if these parameters are sensitive to training load changes across a 13-week training period. Methods: Twelve national and international level swimmers (four females; eight males; 20.9 ± 1.9 years; with a competitive swimming background of 11.3 ± 1.8 years; undertaking 16–20 h of pool training and 4–5 h of dry-land training per week and 822.0 ± 59.0 International Swimming Federation (FINA) points) were evaluated for resistance (R) and reactance (Xc) using a single frequency phase sensitive bioimpedance device at the beginning of the macrocycle (M1), just before the beginning of the taper period (M2), and just before the main competition of the macrocycle (M3). At the three-time assessment points, swimmers also performed a 50 m all-out first stroke sprint with track start (T50 m) while time was recorded. Results: The results of the Hotelling T 2 test showed a significant vector displacement due to simultaneous R and Xc changes ( p < 0.001), where shifting from top to bottom along the major axis of the R-Xc graph from M1 to M2 was observed. From M2 to M3, a vector displacement up and left along the minor axis of the tolerance ellipses resulted in an increase in PhA ( p < 0.01). The results suggest a gain in fluid with a decrease in cellular density from M1 to M2 due to decrements in R and Xc. Nevertheless, the reduced training load characterizing taper seemed to allow for an increase in PhA and, most importantly, an increase of Xc, thus demonstrating improved cellular health and physical condition, which was concomitant with a significant increase in the T50 ...
Keywords	BIVA ; body composition ; phase angle ; R-Xc graph ; vector length ; Medicine ; R
Subject code	796
Language	English
Publishing date	2020-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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