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Paoli A, Campa F. Problems and Opportunities in the use of Bioelectrical Impedance Analysis for Assessing Body Composition During Ketogenic Diets: A Scoping Review. Curr Obes Rep 2024; 13:496-509. [PMID: 38802722 PMCID: PMC11306364 DOI: 10.1007/s13679-024-00573-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/13/2024] [Indexed: 05/29/2024]
Abstract
PURPOSE OF THE REVIEW The use of bioelectrical impedance analysis (BIA) for monitoring body composition during the ketogenic diet has experienced a rapid surge. This scoping review aimed to assess the validity of procedures applying BIA in the ketogenic diet and to suggest best practices for optimizing its utilization. RECENT FINDINGS We conducted a systematic scoping review of peer-reviewed literature involving BIA for assessing body composition in individuals adhering to a ketogenic diet. Searches of international databases yielded 1609 unique records, 72 of which met the inclusion criteria and were reviewed. Thirty-five studies used foot-to-hand technology, 34 used standing position technology, while 3 did not declare the technology used. Raw bioelectrical parameters were reported in 21 studies. A total of 196 body mass components were estimated, but predictive equations were reported in only four cases. Most research on BIA during ketogenic diets did not report the equations used for predicting body composition, making it impossible to assess the validity of BIA outputs. Furthermore, the exceedingly low percentage of studies reporting and analyzing raw data makes it challenging to replicate methodologies in future studies, highlighting that BIA is not being utilized to its full potential. There is a need for more precise technology and device characteristics descriptions, full report of raw bioelectrical data, and predictive equations utilized. Moreover, evaluating raw data through vectorial analysis is strongly recommended. Eventually, we suggest best practices to enhance BIA outcomes during ketogenic diets.
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Affiliation(s)
- Antonio Paoli
- Department of Biomedical Sciences, University of Padua, Padua, Italy.
| | - Francesco Campa
- Department of Biomedical Sciences, University of Padua, Padua, Italy
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2
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Cattem MVDO, Coelho GMDO, Koury JC. Fat-free mass predictive equation using multifrequency bioelectrical impedance data in adolescent soccer athletes: development and cross-validation. Nutrition 2024; 125:112484. [PMID: 38905911 DOI: 10.1016/j.nut.2024.112484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 04/04/2024] [Accepted: 05/01/2024] [Indexed: 06/23/2024]
Abstract
OBJECTIVES This study aimed to develop and cross-validate a fat-free mass (FFM) predictive equation using multifrequency bioelectrical impedance analysis (BIA) data in adolescent soccer athletes. METHODS Male adolescent soccer athletes (n = 149; 13-19 y old) were randomly sorted using Excel and independently selected for development group (n = 100) or cross-validation group (n = 49). The FFM reference values were determined using dual-energy X-ray absorptiometry. Single-frequency BIA was used to plot tolerance ellipses. Multifrequency-BIA raw data were used as independent variables in regression models. Student's independent t-test was used to compare development and cross-validation groups. Stepwise multiple regression was used to develop the FFM predictive equation. Bland-Altman plots, Lin's concordance correlation coefficient, according to McBride criteria, precision, accuracy, and standard error of estimate (SEE) were calculated to evaluate the concordance and reliability of estimates. Bioelectrical impedance vector analysis was plotted to assess hydration status. RESULTS No differences (P > 0.05) were observed between development and validation groups in chronological age, anthropometric data, bioelectrical impedance data, and FFM values obtained using dual-energy X-ray absorptiometry. Bioelectrical impedance vector analysis tolerance showed that all participants presented adequate hydration status compared to the reference population. The new FFM predictive equation developed and validated: FFM (kg) = -7.064 + 0.592 × chronological age (y) + 0.554 × weight (kg) + 0.365 × height²/resistance (cm²/Ω), presented R² = 0.95; SEE = 1.76 kg; concordance correlation coefficient = 0.95, accuracy = 0.98, and strength of concordance = 0.99. CONCLUSIONS The present study developed and cross-validated an FFM predictive equation based on multifrequency bioelectrical data providing substantial FFM accuracy for male adolescent soccer athletes.
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Affiliation(s)
| | | | - Josely Correa Koury
- Nutrition Institute, Rio de Janeiro State University, Rio de Janeiro, Brazil.
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Bennett JP, Cataldi D, Liu YE, Kelly NN, Quon BK, Gonzalez MC, Heymsfield SB, Shepherd JA. Variations in bioelectrical impedance devices impact raw measures comparisons and subsequent prediction of body composition using recommended estimation equations. Clin Nutr ESPEN 2024; 63:540-550. [PMID: 39047869 DOI: 10.1016/j.clnesp.2024.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 07/03/2024] [Accepted: 07/09/2024] [Indexed: 07/27/2024]
Abstract
BACKGROUND & AIMS Bioelectrical impedance analysis (BIA) for body composition estimation is increasingly used in clinical and field settings to guide nutrition and training programs. Due to variations among BIA devices and the proprietary prediction equations used, studies have recommended the use of raw measures of resistance (R) and reactance (Xc) within population-specific equations to predict body composition. OBJECTIVE We compared raw measures from three BIA devices to assess inter-device variation and the impact of differences on body composition estimations. METHODS Raw R, Xc, impedance (Z) parameters were measured on a calibrated phantom and athletes using tetrapolar supine (BIASUP4), octapolar supine (BIASUP8), and octapolar standing (BIASTA8) devices. Measures of R and Xc were compared across devices and graphed using BIA vector analysis (BIVA) and raw parameters were entered into recommended athlete-specific equations for predicting fat-free mass (FFM) and appendicular lean soft tissue (ALST). Whole-body FFM and regional ALST were compared across devices and to a criterion five-compartment (5C) model and dual energy X-ray absorptiometry for ALST. RESULTS Data from 73 (23.2 ± 4.8 y) athletes were included in the analyses. Technical differences were observed between Z (range 12.2-50.1Ω) measures on the calibrated phantom. Differences in whole-body impedance were apparent due to posture (technological) and electrode placement (biological) factors. This resulted in raw measures for all three devices showing greater dehydration on BIVA compared to published norms for athletes using a separate BIA device. Compared to the 5C FFM, significant differences (p < 0.05) were observed on all three equations for BIASUP8 and BIASTA8, with constant error (CE) from -2.7 to -4.6 kg; no difference was observed for BIASUP4 or when device-specific algorithms were used. Published equations resulted in differences as large as 8.8 kg FFM among BIA devices. For ALST, even after a correction in the error of the published empirical equation, all three devices showed significant (p < 0.01) CE from -1.6 to -2.9 kg. CONCLUSIONS Raw bioimpedance measurements differ among devices due to technical, technological, and biological factors, limiting interchangeability of data across BIA systems. Professionals should be aware of these factors when purchasing systems, comparing data to published reference ranges, or when applying published empirical body composition prediction equations.
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Affiliation(s)
- Jonathan P Bennett
- Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA.
| | - Devon Cataldi
- Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Yong En Liu
- Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Nisa N Kelly
- Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Brandon K Quon
- Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Maria Cristina Gonzalez
- Graduate Program in Nutrition and Foods, Federal University of Pelotas, Rua Gomes Carneiro, 01- Centro, 96010-610, Pelotas, Brazil
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University, 6400 Perkins Rd, Baton Rouge, LA, 70808, USA
| | - John A Shepherd
- Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
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Campa F, Coratella G, Cerullo G, Noriega Z, Francisco R, Charrier D, Irurtia A, Lukaski H, Silva AM, Paoli A. High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review. J Transl Med 2024; 22:515. [PMID: 38812005 PMCID: PMC11137940 DOI: 10.1186/s12967-024-05272-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 05/04/2024] [Indexed: 05/31/2024] Open
Abstract
The appropriate use of predictive equations in estimating body composition through bioelectrical impedance analysis (BIA) depends on the device used and the subject's age, geographical ancestry, healthy status, physical activity level and sex. However, the presence of many isolated predictive equations in the literature makes the correct choice challenging, since the user may not distinguish its appropriateness. Therefore, the present systematic review aimed to classify each predictive equation in accordance with the independent parameters used. Sixty-four studies published between 1988 and 2023 were identified through a systematic search of international electronic databases. We included studies providing predictive equations derived from criterion methods, such as multi-compartment models for fat, fat-free and lean soft mass, dilution techniques for total-body water and extracellular water, total-body potassium for body cell mass, and magnetic resonance imaging or computerized tomography for skeletal muscle mass. The studies were excluded if non-criterion methods were employed or if the developed predictive equations involved mixed populations without specific codes or variables in the regression model. A total of 106 predictive equations were retrieved; 86 predictive equations were based on foot-to-hand and 20 on segmental technology, with no equations used the hand-to-hand and leg-to-leg. Classifying the subject's characteristics, 19 were for underaged, 26 for adults, 19 for athletes, 26 for elderly and 16 for individuals with diseases, encompassing both sexes. Practitioners now have an updated list of predictive equations for assessing body composition using BIA. Researchers are encouraged to generate novel predictive equations for scenarios not covered by the current literature.Registration code in PROSPERO: CRD42023467894.
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Affiliation(s)
- Francesco Campa
- Department of Biomedical Sciences, University of Padua, Padua, Italy.
| | - Giuseppe Coratella
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
| | - Giuseppe Cerullo
- Department of Biomedical Sciences, University of Padua, Padua, Italy
| | - Zeasseska Noriega
- NEFC-Barcelona Sports Sciences Research Group, Institut Nacional d'Educació Física de Catalunya (INEFC), Universitat de Barcelona (UB), 08038, Barcelona, Spain
| | - Rubén Francisco
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz-Quebrada, Portugal
| | - Davide Charrier
- Department of Biomedical Sciences, University of Padua, Padua, Italy
| | - Alfredo Irurtia
- NEFC-Barcelona Sports Sciences Research Group, Institut Nacional d'Educació Física de Catalunya (INEFC), Universitat de Barcelona (UB), 08038, Barcelona, Spain
| | - Henry Lukaski
- Department of Kinesiology and Public Health Education, Hyslop Sports Center, University of North Dakota, Grand Forks, USA
| | - Analiza Mónica Silva
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz-Quebrada, Portugal
| | - Antonio Paoli
- Department of Biomedical Sciences, University of Padua, Padua, Italy
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Cebrián-Ponce Á, Serafini S, Petri C, Carrasco-Marginet M, Izzicupo P, Mascherini G. Somatotype and bioelectrical impedance vector analysis of Italian CrossFit® practitioners. Heliyon 2024; 10:e29139. [PMID: 38655297 PMCID: PMC11035999 DOI: 10.1016/j.heliyon.2024.e29139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 03/30/2024] [Accepted: 04/01/2024] [Indexed: 04/26/2024] Open
Abstract
Objectives CrossFit® is a high-intensity sport characterized by various workouts that require strength, speed, endurance, or agility, impacting participants' body composition. This observational study aimed to determine the morphological (anthropometrical and bioelectrical) profile of CrossFit® athletes and to compare them with other athletic populations. Methods Anthropometrical measurements and bioelectrical vector analysis (classic and specific approaches) were performed on 145 CrossFit® practitioners (107 men aged 30.7 ± 8.4 years and 38 women aged 28.1 ± 6.7 years). Each participant's relative somatotype was calculated and compared between sexes and with a Spanish CrossFit® athletes' group. Resistance-reactance graphs and Hotelling's T2 test were applied to characterize the sample, compare them with an athletes' reference population, and identify differences between somatotype groups. Results The most represented somatotype in both groups was the balanced mesomorph (male 3.5-5.2 - 1.7 and female 4.4-4.5 - 1.8). Compared with Spanish CrossFit® athletes, significant differences were denoted for men but not women (SAD = 2.3). The bioelectrical graphs indicated that the distribution of CrossFit® athletes is quite heterogeneous and within average values for the athlete's reference. The mesomorphic and endomorphic components were associated with a higher phase angle. Conclusions CrossFit® practitioners predominantly present a mesomorphic component and show a body type like other power athletes, although with less pronounced characteristics. The somatotype may influence the vector's position in the RXc graphs. This study provided the bioelectrical tolerance ellipses for CrossFit® practitioners in classic and specific approaches for the first time.
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Affiliation(s)
- Álex Cebrián-Ponce
- INEFC-Barcelona Sports Sciences Research Group, Institut Nacional d’Educació Física de Catalunya (INEFC), University of Barcelona (UB), 08038, Barcelona, Spain
| | - Sofia Serafini
- Department of Medicine and Aging Sciences, University “G. D'Annunzio” of Chieti-Pescara, 66100, Chieti, Italy
| | - Cristian Petri
- Department of Sports and Computer Science, Section of Physical Education and Sports, Universidad Pablo de Olavide, 41013, Seville, Spain
| | - Marta Carrasco-Marginet
- INEFC-Barcelona Sports Sciences Research Group, Institut Nacional d’Educació Física de Catalunya (INEFC), University of Barcelona (UB), 08038, Barcelona, Spain
| | - Pascal Izzicupo
- Department of Medicine and Aging Sciences, University “G. D'Annunzio” of Chieti-Pescara, 66100, Chieti, Italy
| | - Gabriele Mascherini
- Exercise Science Laboratory Applied to Medicine “Mario Marella”, Department of Experimental and Clinical Medicine, University of Florence, 50134, Florence, Italy
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Bongiovanni T, Lacome M, Rodriguez C, Tinsley GM. Tracking Body Composition Over a Competitive Season in Elite Soccer Players Using Laboratory- and Field-Based Assessment Methods. J Strength Cond Res 2024; 38:e104-e115. [PMID: 38416450 DOI: 10.1519/jsc.0000000000004662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
ABSTRACT Bongiovanni, T, Lacome, M, Rodriguez, C, and Tinsley, GM. Tracking body composition over a competitive season in elite soccer players using laboratory- and field-based assessment methods. J Strength Cond Res 38(3): e104-e115, 2024-The purpose of this study was to describe body composition changes in professional soccer players over the course of a competitive playing season and compare the ability of different assessment methods to detect changes. Twenty-one elite male soccer players (age: 23.7 ± 4.8 years; height: 185.0 ± 5.2 cm; body mass: 80.7 ± 5.5 kg; body fat: 12.8 ± 2.2%) playing for an Italian national second league (Serie B) championship team were assessed at 4 time points throughout a competitive season: T0 (mid-October), T1 (mid-December), T2 (mid-February), and T3 (end of April). Dual-energy x-ray absorptiometry (DXA), skinfolds (SKF), and bioelectrical impedance analysis were performed at each time point, and multiple SKF-based equations were applied. A modified 4-compartment (4C) model was also produced. Data were analyzed using repeated measures analysis of variance, relevant post hoc tests, and Pearson's correlations. Dual-energy x-ray absorptiometry, 4C, and the SKF-based equations of Reilly and Civar detected differences in fat-free mass (FFM) between time points, with the most differences observed for DXA. Fat-free mass increased from T0 values to a peak at T2, followed by a decrease by T3, although FFM values remained higher than T0. Fat-free mass gain was primarily driven by increases in the lower limbs. Fat-free mass changes between all methods were significantly correlated, with correlation coefficients of 0.70-0.97. No significant differences between time points were observed for absolute fat mass or body fat percentage, although significant correlations between several methods for change values were observed. Select laboratory and field methods can detect changes in FFM over the course of a season in elite, professional soccer athletes, with a more limited ability to detect changes in adiposity-related variables. For SKF in this population, the equation of Reilly is recommended.
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Affiliation(s)
- Tindaro Bongiovanni
- Player Health & Performance Department, Palermo Football Club, Palermo, Italy
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Mathieu Lacome
- Laboratory Sport, French Institute of Sport (INSEP), Expertise and Performance (EA 7370), Paris, France
- Performance and Analytics Department, Parma Calcio 1913, Parma, Italy; and
| | - Christian Rodriguez
- Energy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, Texas
| | - Grant M Tinsley
- Energy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, Texas
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Homer KA, Cross MR, Helms ER. Peak Week Carbohydrate Manipulation Practices in Physique Athletes: A Narrative Review. SPORTS MEDICINE - OPEN 2024; 10:8. [PMID: 38218750 PMCID: PMC10787737 DOI: 10.1186/s40798-024-00674-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 01/02/2024] [Indexed: 01/15/2024]
Abstract
BACKGROUND Physique athletes are ranked by a panel of judges against the judging criteria of the corresponding division. To enhance on-stage presentation and performance, competitors in certain categories (i.e. bodybuilding and classic physique) achieve extreme muscle size and definition aided by implementing acute "peaking protocols" in the days before competition. Such practices can involve manipulating nutrition and training variables to increase intramuscular glycogen and water while minimising the thickness of the subcutaneous layer. Carbohydrate manipulation is a prevalent strategy utilised to plausibly induce muscle glycogen supercompensation and subsequently increase muscle size. The relationship between carbohydrate intake and muscle glycogen saturation was first examined in endurance event performance and similar strategies have been adopted by physique athletes despite the distinct physiological dissimilarities and aims between the sports. OBJECTIVES The aim of this narrative review is to (1) critically examine and appraise the existing scientific literature relating to carbohydrate manipulation practices in physique athletes prior to competition; (2) identify research gaps and provide direction for future studies; and (3) provide broad practical applications based on the findings and physiological reasoning for coaches and competitors. FINDINGS The findings of this review indicate that carbohydrate manipulation practices are prevalent amongst physique athletes despite a paucity of experimental evidence demonstrating the efficacy of such strategies on physique performance. Competitors have also been observed to manipulate water and electrolytes in conjunction with carbohydrate predicated on speculative physiological mechanisms which may be detrimental for performance. CONCLUSIONS Further experimental evidence which closely replicates the nutritional and training practices of physique athletes during peak week is required to make conclusions on the efficacy of carbohydrate manipulation strategies. Quasi-experimental designs may be a feasible alternative to randomised controlled trials to examine such strategies due to the difficulty in recruiting the population of interest. Finally, we recommend that coaches and competitors manipulate as few variables as possible, and experiment with different magnitudes of carbohydrate loads in advance of competition if implementing a peaking strategy.
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Affiliation(s)
- Kai A Homer
- Sport Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, 17 Antares Place, Rosedale, Auckland, 0632, New Zealand.
| | - Matt R Cross
- Sport Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, 17 Antares Place, Rosedale, Auckland, 0632, New Zealand
| | - Eric R Helms
- Sport Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, 17 Antares Place, Rosedale, Auckland, 0632, New Zealand
- Department of Exercise Science and Health Promotion, Muscle Physiology Laboratory, Florida Atlantic University, Boca Raton, FL, USA
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Cebrián-Ponce Á, Marini E, Stagi S, Castizo-Olier J, Carrasco-Marginet M, Garnacho-Castaño MV, Noriega Z, Espasa-Labrador J, Irurtia A. Body fluids and muscle changes in trail runners of various distances. PeerJ 2023; 11:e16563. [PMID: 38054016 PMCID: PMC10695110 DOI: 10.7717/peerj.16563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 11/12/2023] [Indexed: 12/07/2023] Open
Abstract
Background This study aims to investigate body fluids and muscle changes evoked by different trail races using anthropometric, bioelectrical, and creatine kinase (CK) measurements. Methods A total of 92 subjects (55 men, 37 women) participating in three different races of 14, 35, and 52 km were evaluated before (PRE) and after (POST) the races. Classic bioelectrical impedance vector analysis was applied at the whole-body level (WB-BIVA). Additionally, muscle-localized bioelectrical assessments (ML-BIVA) were performed in a subgroup of 11 men (in the quadriceps, hamstrings, and calves). PRE-POST differences and correlations between bioelectrical values and CK, running time and race distance were tested. Results Changes in whole-body vectors and phase angles disclosed an inclination towards dehydration among men in the 14, 35, and 52 km groups (p < 0.001), as well as among women in the 35 and 52 km groups (p < 0.001). PRE Z/H was negatively correlated with running time in the 35 km men group and 14 km women group (r = -0.377, p = 0.048; r = -0.751, p = 0.001; respectively). POST Z/H was negatively correlated with running time in the 14 km women group (r = -0.593, p = 0.02). CK was positively correlated with distance in men and women (p < 0.001) and negatively correlated with reactance and vector length in the 14 km men group (p < 0.05). ML-BIVA echoed the same tendency as the WB-BIVA in the 35 and 52 km runners, with the most notable changes occurring in the calves (p < 0.001). Conclusions WB-BIVA and CK measurements underscored a conspicuous trend towards post-race dehydration and muscle damage, displaying a weak association with performance. Notably, ML-BIVA detected substantial alterations primarily in the calves. The study underscores the utility of BIVA as a technique to assess athlete's body composition changes.
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Affiliation(s)
- Álex Cebrián-Ponce
- INEFC-Barcelona Sports Sciences Research Group, National Institute of Physical Education of Catalonia (INEFC). University of Barcelona (UB), Barcelona, Spain
| | - Elisabetta Marini
- Department of Life and Environmental Sciences. Neuroscience and Anthropology Section, University of Cagliari, Cagliari, Italy
| | - Silvia Stagi
- Department of Life and Environmental Sciences. Neuroscience and Anthropology Section, University of Cagliari, Cagliari, Italy
| | - Jorge Castizo-Olier
- INEFC-Barcelona Sports Sciences Research Group, National Institute of Physical Education of Catalonia (INEFC). University of Barcelona (UB), Barcelona, Spain
- DAFNiS Research Group (Pain, Physical Activity, Nutrition and Health), Campus Docent Sant Joan de Déu, University of Barcelona, Barcelona, Spain
| | - Marta Carrasco-Marginet
- INEFC-Barcelona Sports Sciences Research Group, National Institute of Physical Education of Catalonia (INEFC). University of Barcelona (UB), Barcelona, Spain
| | - Manuel Vicente Garnacho-Castaño
- DAFNiS Research Group (Pain, Physical Activity, Nutrition and Health), Campus Docent Sant Joan de Déu, University of Barcelona, Barcelona, Spain
- Faculty of Health Sciences, Valencian International University (VIU), Valencia, Spain
| | - Zeasseska Noriega
- INEFC-Barcelona Sports Sciences Research Group, National Institute of Physical Education of Catalonia (INEFC). University of Barcelona (UB), Barcelona, Spain
| | - Javier Espasa-Labrador
- INEFC-Barcelona Sports Sciences Research Group, National Institute of Physical Education of Catalonia (INEFC). University of Barcelona (UB), Barcelona, Spain
| | - Alfredo Irurtia
- INEFC-Barcelona Sports Sciences Research Group, National Institute of Physical Education of Catalonia (INEFC). University of Barcelona (UB), Barcelona, Spain
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Silva AM, Campa F, Stagi S, Gobbo LA, Buffa R, Toselli S, Silva DAS, Gonçalves EM, Langer RD, Guerra-Júnior G, Machado DRL, Kondo E, Sagayama H, Omi N, Yamada Y, Yoshida T, Fukuda W, Gonzalez MC, Orlandi SP, Koury JC, Moro T, Paoli A, Kruger S, Schutte AE, Andreolli A, Earthman CP, Fuchs-Tarlovsky V, Irurtia A, Castizo-Olier J, Mascherini G, Petri C, Busert LK, Cortina-Borja M, Bailey J, Tausanovitch Z, Lelijveld N, Ghazzawi HA, Amawi AT, Tinsley G, Kangas ST, Salpéteur C, Vázquez-Vázquez A, Fewtrell M, Ceolin C, Sergi G, Ward LC, Heitmann BL, da Costa RF, Vicente-Rodriguez G, Cremasco MM, Moroni A, Shepherd J, Moon J, Knaan T, Müller MJ, Braun W, García-Almeida JM, Palmeira AL, Santos I, Larsen SC, Zhang X, Speakman JR, Plank LD, Swinburn BA, Ssensamba JT, Shiose K, Cyrino ES, Bosy-Westphal A, Heymsfield SB, Lukaski H, Sardinha LB, Wells JC, Marini E. The bioelectrical impedance analysis (BIA) international database: aims, scope, and call for data. Eur J Clin Nutr 2023; 77:1143-1150. [PMID: 37532867 DOI: 10.1038/s41430-023-01310-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 07/10/2023] [Accepted: 07/12/2023] [Indexed: 08/04/2023]
Abstract
BACKGROUND Bioelectrical impedance analysis (BIA) is a technique widely used for estimating body composition and health-related parameters. The technology is relatively simple, quick, and non-invasive, and is currently used globally in diverse settings, including private clinicians' offices, sports and health clubs, and hospitals, and across a spectrum of age, body weight, and disease states. BIA parameters can be used to estimate body composition (fat, fat-free mass, total-body water and its compartments). Moreover, raw measurements including resistance, reactance, phase angle, and impedance vector length can also be used to track health-related markers, including hydration and malnutrition, and disease-prognostic, athletic and general health status. Body composition shows profound variability in association with age, sex, race and ethnicity, geographic ancestry, lifestyle, and health status. To advance understanding of this variability, we propose to develop a large and diverse multi-country dataset of BIA raw measures and derived body components. The aim of this paper is to describe the 'BIA International Database' project and encourage researchers to join the consortium. METHODS The Exercise and Health Laboratory of the Faculty of Human Kinetics, University of Lisbon has agreed to host the database using an online portal. At present, the database contains 277,922 measures from individuals ranging from 11 months to 102 years, along with additional data on these participants. CONCLUSION The BIA International Database represents a key resource for research on body composition.
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Affiliation(s)
- Analiza M Silva
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002, Lisbon, Portugal.
| | - Francesco Campa
- Department of Biomedical Science, University of Padova, 35100, Padova, Italy
| | - Silvia Stagi
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Monserrato, 09042, Cagliari, Italy
| | - Luís A Gobbo
- Skeletal Muscle Assessment Laboratory, Physical Education Department, School of Technology and Science, São Paulo State University, Presidente Prudente, 19060-900, Brazil
| | - Roberto Buffa
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Monserrato, 09042, Cagliari, Italy
| | - Stefania Toselli
- Department for Life Quality Studies, University of Bologna, 47921, Rimini, Italy
| | - Diego Augusto Santos Silva
- Research Center of Kinanthropometry and Human Performance, Sports Center, Universidade Federal de Santa Catarina, Florianópolis, Brazil
| | - Ezequiel M Gonçalves
- Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas, 13083-887, Brazil
| | - Raquel D Langer
- Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas, 13083-887, Brazil
| | - Gil Guerra-Júnior
- Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas, 13083-887, Brazil
| | - Dalmo R L Machado
- Laboratory of Kinanthropometry and Human Performance, School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, 05508-030, São Paulo, Brazil
| | - Emi Kondo
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, 305-8574, Japan
| | - Hiroyuki Sagayama
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, 305-8574, Japan
| | - Naomi Omi
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, 305-8574, Japan
| | - Yosuke Yamada
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 566-0002, Japan
| | - Tsukasa Yoshida
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 566-0002, Japan
| | - Wataru Fukuda
- Yokohama Sports Medical Center, Yokohama Sport Association, Kanagawa, 222-0036, Japan
| | - Maria Cristina Gonzalez
- Postgraduate Program in Nutrition and Food, Federal University of Pelotas, 96010-610 Pelotas, Brazil
| | - Silvana P Orlandi
- Nutrition Department, Federal University of Pelotas, 96010-610, Pelotas, Brazil
| | - Josely C Koury
- Nutrition Institute, State University of Rio de Janeiro, 20550-013, Rio de Janeiro, Brazil
| | - Tatiana Moro
- Department of Biomedical Science, University of Padova, 35100, Padova, Italy
| | - Antonio Paoli
- Department of Biomedical Science, University of Padova, 35100, Padova, Italy
| | - Salome Kruger
- Centre of Excellence for Nutrition, North-West University, Potchefstroom, 2520, South Africa
| | - Aletta E Schutte
- School of Population Health, University of New South Wales, The George Institute for Global Health, Sydney, NSW, Australia
| | | | | | | | - Alfredo Irurtia
- National Institute of Physical Education of Catalonia (INEFC), University of Barcelona (UB), Barcelona, Spain
| | - Jorge Castizo-Olier
- School of Health Sciences, TecnoCampus, Pompeu Fabra University, Barcelona, Spain
| | - Gabriele Mascherini
- Department of Experimental and Clinical Medicine, University of Florence, Firenze, Italy
| | - Cristian Petri
- Department of Sports and Computer Science, Section of Physical Education and Sports, Universidad Pablo de Olavide, Seville, Spain
| | - Laura K Busert
- Population, Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Mario Cortina-Borja
- Population, Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | | | | | | | - Hadeel Ali Ghazzawi
- Department of Nutrition and Food Technology, School of Agriculture, The University of Jordan, Amman, Jordan
| | - Adam Tawfiq Amawi
- Department of Physical and Health Education, Faculty of Educational Sciences, Al-Ahliyya Amman University, Al-Salt, Jordan
| | - Grant Tinsley
- Energy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, 79409, USA
| | - Suvi T Kangas
- International Rescue Committee, New York, NY, 10168, USA
| | - Cécile Salpéteur
- Department of Expertise and Advocacy, Action contre la Faim, 93358, Montreuil, France
| | - Adriana Vázquez-Vázquez
- Population, Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Mary Fewtrell
- Population, Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Chiara Ceolin
- Department of Medicine (DIMED), Geriatrics Division, University of Padova, Padova, 35128, Italy
| | - Giuseppe Sergi
- Department of Medicine (DIMED), Geriatrics Division, University of Padova, Padova, 35128, Italy
| | - Leigh C Ward
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Berit L Heitmann
- Research Unit for Dietary Studies, The Parker Institute, Frederiksberg and Bispebjerg Hospital, Copenhagen, Denmark
- Section for general Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Roberto Fernandes da Costa
- Department of Physical Education, Research Group in Physical Activity and Health, Federal University of Rio Grande do Norte, Natal, Brazil
| | - German Vicente-Rodriguez
- Faculty of Health and Sport Science FCSD, Department of Physiatry and Nursing, University of Zaragoza, 50009, Zaragoza, Spain
| | - Margherita Micheletti Cremasco
- Laboratory of Anthropology, Anthropometry and Ergonomics, Department of Life Sciences and Systems Biology, University of Torino, 10123, Torino, Italy
| | - Alessia Moroni
- Laboratory of Anthropology, Anthropometry and Ergonomics, Department of Life Sciences and Systems Biology, University of Torino, 10123, Torino, Italy
| | - John Shepherd
- University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Jordan Moon
- United States Sports Academy, Daphne, AL, 36526, USA
| | - Tzachi Knaan
- Weight Management, Metabolism & Sports Nutrition Clinic, Metabolic Lab, Tel-Aviv, Tel Aviv-Yafo, Israel
| | - Manfred J Müller
- Department of Human Nutrition, Institute of Human Nutrition and Food Sciences, Christian-Albrechts University, 24105, Kiel, Germany
| | - Wiebke Braun
- Department of Human Nutrition, Institute of Human Nutrition and Food Sciences, Christian-Albrechts University, 24105, Kiel, Germany
| | - José M García-Almeida
- Department of Endocrinology and Nutrition, Virgen de la Victoria Hospital, Malaga University, 29010, Malaga, Spain
| | | | - Inês Santos
- Laboratório de Nutrição, Faculdade de Medicina, Centro Académico de Medicina de Lisboa, Universidade de Lisboa, Lisboa, Portugal
| | - Sofus C Larsen
- Research Unit for Dietary Studies at the Parker Institute, Bispebjerg and Frederiksberg Hospital, The Capital Region, Frederiksberg, Denmark
- The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Xueying Zhang
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - John R Speakman
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- School of Biological Sciences, University of Aberdeen, Aberdeen, UK
| | - Lindsay D Plank
- Department of Surgery, University of Auckland, Auckland, New Zealand
| | - Boyd A Swinburn
- School of Population Health, University of Auckland, Auckland, New Zealand
| | - Jude Thaddeus Ssensamba
- Center for Innovations in Health Africa (CIHA Uganda), Kampala, Uganda
- Makerere University Walter Reed Project, Kampala, Uganda
| | - Keisuke Shiose
- Faculty of Education, University of Miyazaki, Miyazaki, Japan
| | - Edilson S Cyrino
- Metabolism, Nutrition, and Exercise Laboratory. Physical Education and Sport Center, State University of Londrina, Rod. Celso Garcia Cid, Km 380, 86057-970, Londrina-PR, Brazil
| | - Anja Bosy-Westphal
- Department of Human Nutrition, Institute of Human Nutrition and Food Sciences, Christian-Albrechts University, 24105, Kiel, Germany
| | | | - Henry Lukaski
- Department of Kinesiology and Public Health Education, Hyslop Sports Center, University of North Dakota Grand Forks, Grand Forks, ND, 58202, USA
| | - Luís B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002, Lisbon, Portugal
| | - Jonathan C Wells
- Population, Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Elisabetta Marini
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Monserrato, 09042, Cagliari, Italy
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10
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Francisco R, Jesus F, Nunes CL, Carvalho A, Alvim M, Campa F, Sardinha LB, Mendonca GV, Lukaski H, Silva AM. Prediction of body water compartments by raw bioelectrical impedance parameters in athletes: Comparison between series and parallel measurements. Scand J Med Sci Sports 2023; 33:1998-2008. [PMID: 37403709 DOI: 10.1111/sms.14443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/02/2023] [Accepted: 06/22/2023] [Indexed: 07/06/2023]
Abstract
BACKGROUND The aim of this study was to determine the predictive role of series and parallel bioelectrical impedance-derived parameters in predicting total body (TBW), intracellular (ICW), and extracellular water (ECW) in athletes. METHODS This cross-sectional study analyzed 134 male (21.33 ± 5.11 years) and 64 female (20.45 ± 5.46 years) athletes. Using dilution techniques, TBW and ECW were determined while ICW was the difference between both. Raw and standardized for height (/H) bioelectrical resistance (R), reactance (Xc), and impedance (Z) values were obtained using a phase-sensitive device at a single frequency in a series array (s). These were mathematically transformed in a parallel array (p) and capacitance (CAP). Fat-free mass (FFM) was assessed by dual-energy X-ray absorptiometry. RESULTS Multiple regressions adjusted for age and FFM show that R/Hs, Z/Hs, R/Hp, and Z/Hp were significant predictors of TBW (p < 0.001 in females and males). While Xc/Hs did not predict ICW, Xc/Hp was a predictor (p < 0.001 in females and Males). In females, R/H and Z/H predicted similarly TBW, ICW, and ECW. In males, R/Hs was considered a better predictor than R/Hp for TBW and ICW, and the Xc/Hp was considered the best predictor for ICW. Another significant predictor of ICW was CAP (p < 0.001 in females and males). CONCLUSION This study highlights the potential value of parallel bioelectrical impedance values to identify fluid compartments in athletes as an alternative to the regularly used series measurements. Moreover, this study supports Xc in parallel, and ultimately CAP, as valid indicators of cell volume.
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Affiliation(s)
- Rúben Francisco
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Filipe Jesus
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Catarina L Nunes
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - André Carvalho
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Marta Alvim
- National Institute of Health Doutor Ricardo Jorge, Lisbon, Portugal
| | - Francesco Campa
- Department of Biomedical Sciences, University of Padua, Padua, Italy
| | - Luís B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Goncalo V Mendonca
- Neuromuscular Research Lab, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Henry Lukaski
- Department of Kinesiology and Public Health Education, Hyslop Sports Center, University of North Dakota, Grand Forks, North Dakota, USA
| | - Analiza M Silva
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
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11
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Jagim AR, Tinsley GM, Merfeld BR, Ambrosius A, Khurelbaatar C, Dodge C, Carpenter M, Luedke J, Erickson JL, Fields JB, Jones MT. Validation of skinfold equations and alternative methods for the determination of fat-free mass in young athletes. Front Sports Act Living 2023; 5:1240252. [PMID: 37637224 PMCID: PMC10453806 DOI: 10.3389/fspor.2023.1240252] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 07/26/2023] [Indexed: 08/29/2023] Open
Abstract
Intoduction To cross-validate skinfold (SKF) equations, impedance devices, and air-displacement plethysmography (ADP) for the determination of fat-free mass (FFM). Methods Male and female youth athletes were evaluated (n = 91[mean ± SD] age: 18.19 ± 2.37 year; height: 172.1 ± 9.8 cm; body mass: 68.9 ± 14.5 kg; BMI: 23.15 ± 3.2 kg m-2; body fat: 19.59 ± 6.9%) using underwater weighing (UWW), ADP, and SKF assessments. A 3-compartment (3C) model (i.e., UWW and total body water) served as the criterion, and alternate body density (Db) estimates from ADP and multiple SKF equations were obtained. Validity metrics were examined to establish each method's performance. Bioelectrical impedance analysis (BIA), bioimpedance spectroscopy (BIS), and the SKF equations of Devrim-Lanpir, Durnin and Womersley, Jackson and Pollock (7-site), Katch, Loftin, Lohman, Slaughter, and Thorland differed from criterion. Results For females, Pearson's correlations between the 3C model and alternate methods ranged from 0.51 to 0.92, the Lin's concordance correlation coefficient (CCC) ranged from 0.41 to 0.89, with standard error of the estimate (SEE) ranges of 1.9-4.6 kg. For SKF, the Evans 7-site and J&P 3 Site equations performed best with CCC and SEE values of 0.82, 2.01 kg and 0.78, 2.21 kg, respectively. For males, Pearson's correlations between the 3C model and alternate methods ranged from 0.50 to 0.95, CCC ranges of 0.46-0.94, and SEE ranges of 3.3-7.6 kg. For SKF, the Evans 3-site equation performed best with a mean difference of 1.8 (3.56) kg and a CCC of 0.93. Discussion The Evans 7-site and 3-site SKF equations performed best for female and male athletes, respectively. The field 3C model can provide an alternative measure of FFM when necessary.
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Affiliation(s)
- Andrew R. Jagim
- Sports Medicine, Mayo Clinic Health System, Onalaska, WI, United States
- Exercise & Sport Science, University of Wisconsin—La Crosse, La Crosse, WI, United States
| | - Grant M. Tinsley
- Energy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, United States
| | - Brandon R. Merfeld
- Exercise & Sport Science, University of Wisconsin—La Crosse, La Crosse, WI, United States
| | - Abby Ambrosius
- Exercise & Sport Science, University of Wisconsin—La Crosse, La Crosse, WI, United States
| | - Chinguun Khurelbaatar
- Exercise & Sport Science, University of Wisconsin—La Crosse, La Crosse, WI, United States
| | - Christopher Dodge
- Exercise & Sport Science, University of Wisconsin—La Crosse, La Crosse, WI, United States
| | - Makenna Carpenter
- Exercise & Sport Science, University of Wisconsin—La Crosse, La Crosse, WI, United States
| | - Joel Luedke
- Sports Medicine, Mayo Clinic Health System, Onalaska, WI, United States
| | - Jacob L. Erickson
- Sports Medicine, Mayo Clinic Health System, Onalaska, WI, United States
| | - Jennifer B. Fields
- Department of Exercise Science and Athletic Training, Springfield College, Springfield, MA, United States
- Patriot Performance Laboratory, Frank Pettrone Center for Sports Performance, George Mason University, Fairfax, VA, United States
| | - Margaret T. Jones
- Patriot Performance Laboratory, Frank Pettrone Center for Sports Performance, George Mason University, Fairfax, VA, United States
- Sport, Recreation, and Tourism Management, George Mason University, Fairfax, VA, United States
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12
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Cebrián-Ponce Á, Irurtia A, Castizo-Olier J, Garnacho-Castaño MV, Espasa-Labrador J, Noriega Z, Carrasco-Marginet M. Bioelectrical, Anthropometric, and Hematological Analysis to Assess Body Fluids and Muscle Changes in Elite Cyclists during the Giro d’Italia. BIOLOGY 2023; 12:biology12030450. [PMID: 36979142 PMCID: PMC10045318 DOI: 10.3390/biology12030450] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 03/09/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023]
Abstract
This study aimed to characterize and monitor the body fluid and muscle changes during the Giro d’Italia in nine elite cyclists via bioelectrical (whole-body and muscle-localized) anthropometric and hematological analysis. There were three checkpoint assessments: at the beginning, middle, and end of the race. The Wilcoxon signed-rank test was used to compare the data at baseline and follow up. The Spearman correlation was used to explore relationships between variables. Hotelling’s T2 test was used to determine bioelectrical differences in the complex vector. Bodyweight did not change during the competition, despite bioelectrical and hematological data indicating that at the first half of the race, there was a fluid gain, and in the second half a fluid loss occurred, reaching baseline values. These changes were especially prevalent in the extracellular water compartment. Significant correlations between whole-body bioelectrical vector changes and red blood cell parameter changes were reported. The muscle group most sensitive to changes were the calves. Quadriceps, hamstrings, and calves reported a PhA decrease trend during the first half of the race, and an increase during the second half. Bioelectrical impedance vector analysis appears to be sensitive enough to detect hydration and cellular integrity adaptions induced by competitions as demanding as the Giro d’Italia.
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Affiliation(s)
- Álex Cebrián-Ponce
- INEFC-Barcelona Sports Sciences Research Group, Institut Nacional d’Educació Física de Catalunya (INEFC), Universitat de Barcelona (UB), 08038 Barcelona, Spain
| | - Alfredo Irurtia
- INEFC-Barcelona Sports Sciences Research Group, Institut Nacional d’Educació Física de Catalunya (INEFC), Universitat de Barcelona (UB), 08038 Barcelona, Spain
| | - Jorge Castizo-Olier
- School of Health Sciences, TecnoCampus, Pompeu Fabra University, 08302 Barcelona, Spain
| | - Manuel Vicente Garnacho-Castaño
- DAFNiS Research Group (Pain, Physical Activity, Nutrition and Health), Campus Docent Sant Joan de Déu, University of Barcelona, 08830 Sant Boi de Llobregat, Spain
- Faculty of Health Sciences, Valencian International University (VIU), 46002 Valencia, Spain
| | - Javier Espasa-Labrador
- INEFC-Barcelona Sports Sciences Research Group, Institut Nacional d’Educació Física de Catalunya (INEFC), Universitat de Barcelona (UB), 08038 Barcelona, Spain
| | - Zeasseska Noriega
- INEFC-Barcelona Sports Sciences Research Group, Institut Nacional d’Educació Física de Catalunya (INEFC), Universitat de Barcelona (UB), 08038 Barcelona, Spain
| | - Marta Carrasco-Marginet
- INEFC-Barcelona Sports Sciences Research Group, Institut Nacional d’Educació Física de Catalunya (INEFC), Universitat de Barcelona (UB), 08038 Barcelona, Spain
- Correspondence: ; Tel.: +34-667-76-20-69
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13
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Fat-free mass estimation in male elite futsal players: Development and validation of a new bioelectrical impedance-based predictive equation. Nutrition 2023; 107:111931. [PMID: 36584663 DOI: 10.1016/j.nut.2022.111931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 11/29/2022] [Accepted: 12/05/2022] [Indexed: 12/13/2022]
Abstract
OBJECTIVES The present study aimed to develop and cross-validate a futsal-specific bioelectrical equation for estimating fat-free mass (FFM) in male players. METHODS A total of 66 futsal players (age 23.3 ± 5.4 years) from the Major Portuguese Futsal League "LIGA PLACARD" and from the 2nd and 3rd National Futsal Leagues were included in this cross-sectional, observational study. The participants underwent a foot-to-hand bioelectrical impedance analysis (BIA) at 50 kHz and completed a dual-energy X-ray absorptiometry (DXA) scan for reference body composition data. The sport-specific model was developed by stepwise multiple regression using bioelectrical raw parameters [resistance (R) and reactance (Xc)] as independent variables. Validation was performed using the PRESS approach, least squares regression, concordance correlation coefficient (CCC) and Bland-Altman analyses. RESULTS A BIA-based model was developed for FFM [FFM (kg) = -8.865 + 0.437 * Body Mass (kg) + 0.186 * Xc + 0.415 * stature (cm)2/R (R2 = 0.89, standard error of estimation = 2.38 kg)]. Results showed a substantial strength of agreement (CCC = 0.953), an r2 of 0.88 with a standard error of estimation equal to 2.31 kg, no mean bias (0.04 kg, p>0.05), low limits of agreement (ranged from -4.5 to 4.6 kg), and no trend (r = -0.170, p = 0.172). CONCLUSIONS The present equation is the first to allow for a valid, accurate, and sport-specific assessment of FFM in male futsal players.
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14
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Lu H, Shinki K, Mattoo TK. A new prediction model for total body water estimation by BIA in children with normal and excessive weight. Clin Nutr ESPEN 2023; 53:53-59. [PMID: 36657930 DOI: 10.1016/j.clnesp.2022.11.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 11/02/2022] [Accepted: 11/15/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Various methods, including bioelectrical impedance analysis (BIA), are used for total body water (TBW) estimation. The objective of our study by BIA was to develop a new predication model based on corrected TBW for normal adult BMI, a concept similar to the standardization of glomerular filtration rate by relating it to the average adult body surface area. METHOD We measured TBW by BIA in 335 children 3-21 years old with normal or excessive body weight. Based on our data, we derived a new prediction model for TBW (L) for females {[(72.784 + 0.4093 × weight)∗Corrected TBW]/100} and males {[(57.944 + 0.6551 × weight)∗Corrected TBW]/100}. For validation, we compared our prediction model with three other models on TBW by BIA and dilution methods. RESULTS Our model's error size to predict TBW showed lower cross-validated root mean square error (CV-RMSE) as compared to three other models versus our dataset by BIA and two other datasets by dilution methods. Our model also showed a smaller error (2.059) in CV-RMSE as compared to other models by dilution methods (2.126, 2.873, and 4.384) for normal and excessive weight combined. This implies that our model is more robust when excessive weight individuals are included in the data.. CONCLUSION Our prediction model for TBW estimation by BIA performs better as compared to some other models based on BIA and dilution method datasets. Furthermore, our prediction model is the only one that is devised to be applicable to children and young adults with both normal as well as excessive weight.
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Affiliation(s)
- Hong Lu
- Department of Pediatrics (Nephrology), Wayne State University, Detroit, MI, USA.
| | - Kazuhiko Shinki
- Department of Mathematics, Wayne State University, Detroit, MI, USA
| | - Tej K Mattoo
- Department of Pediatrics (Nephrology), Wayne State University, Detroit, MI, USA.
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15
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Cataldi D, Bennett JP, Quon BK, Liu YE, Heymsfield SB, Kelly T, Shepherd JA. Agreement and Precision of Deuterium Dilution for Total Body Water and Multicompartment Body Composition Assessment in Collegiate Athletes. J Nutr 2022; 152:2048-2059. [PMID: 35665820 DOI: 10.1093/jn/nxac116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 03/11/2022] [Accepted: 05/24/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Deuterium oxide (D2O) dilution is the criterion method for total body water (TBW) measurement, but results may vary depending on the specimen type, analysis method, and analyzing laboratory. Bioelectrical impedance (BIA) estimates TBW, but results may vary by device make and model. OBJECTIVES We investigated the accuracy and precision of TBW estimates and how measurement conditions affected the accuracy of body composition using multicompartment body composition models. METHODS Eighty collegiate athletes received duplicate TBW measures acquired from 3 BIA devices (S10, SFB7, and SOZO) and from unique D2O combinations of specimen type (saliva, urine), analysis methodology [Fourier transform infrared spectrophotometry (FTIR), isotope-ratio mass spectrometry (IRMS)], and 3 different laboratories. TBW measures were substituted into 2-compartment (2C) and 5-compartment (5C) body composition models. Criterion measures were compared using Lin's concordance correlation coefficient cutoff of poor (<0.90), moderate (0.90-0.95), substantial (0.95-0.99), and almost perfect (>0.99). RESULTS Fifty-one participants (26 female) completed the protocol. Using IRMS saliva as the criterion TBW, all other measures produced a substantial or almost perfect agreement, except for SFB7 (poor) and SOZO (moderate). The 2C body composition measures using D2O and BIA produced poor agreement except for moderate agreement for lab 3 FTIR saliva. The 5C body composition measures using D2O produced a substantial agreement, whereas the BIA device S10 and SOZO had a moderate agreement, while the SFB7 had a poor agreement to the criterion. Test-retest precision varied between techniques from 0.3% to 1.2% for TBW. CONCLUSIONS Small differences in TBW measurement led to significant differences in 2C models. The 5C models partially mitigate differences seen in 2C models when different TBW measures are used. Interchanging TBW measures in multicompartment models can be problematic and should be performed with these considerations.
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Affiliation(s)
- Devon Cataldi
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Jonathan P Bennett
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Brandon K Quon
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Young En Liu
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Department of Metabolism & Body Composition, Baton Rouge, LA, USA
| | | | - John A Shepherd
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, HI, USA
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16
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Špenko M, Potočnik I, Edwards I, Potočnik N. Training History, Cardiac Autonomic Recovery from Submaximal Exercise and Associated Performance in Recreational Runners. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:9797. [PMID: 36011428 PMCID: PMC9408689 DOI: 10.3390/ijerph19169797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/04/2022] [Accepted: 08/05/2022] [Indexed: 06/15/2023]
Abstract
This study investigated the effect of prolonged exertion on cardiac parasympathetic (cPS) reorganization and associated aerobic performance in response to repeated short-lasting submaximal exercise bouts (SSE) performed for 7 days following prolonged exertion. In 19 recreational runners, heart rate (HR) and HR variability (HRV) indices (lnRMSSD, lnHF, and lnLF/HF) were monitored pre- and post-submaximal graded cycling performed on consecutive days following a half-marathon (HM) and compared with the baseline, pre-HM values. Additionally, HR recovery (HRR), aerobic performance, and rate of perceived exertion (RPE) were determined. HR, HRV indices, and HRR were tested for correlation with exercise performance. A significant time effect was found in HR, HRR, and HRV indices as well as in aerobic performance and RPE during the study period. Most of the measured parameters differed from their baseline values only on the same day following HM. However, HRR and HR measured in recovery after SSE were additionally affected one day following the half-marathon yet in opposite directions to those recorded on the same day as the HM. Thus, postSSE HR and HRR exhibited a bivariate time response (postSSE HR: 102 ± 14 bpm; p < 0.001; 82 ± 11 bpm; p = 0.007 vs. 88 ± 11 bpm; HRR in 30 s after SSE cessation: 14.9 ± 4.9 bpm; p < 0.001; 30.1 ± 13.3 bpm; p = 0.006 vs. 24.4 ± 10.8 bpm), potentially indicating a cPS dysfunction phase on the same day and cPS rebound phase one day following HM reflected also in consecutive changes in aerobic power. Correlations were found between the changes in measured cardiac indices with respect to baseline and the changes in aerobic performance indices throughout the study period. The effect of exercise history on cPS reorganization is more pronounced in response to SSE than at rest. Accordingly, we conclude that SSE performed repeatedly on a daily basis following prolonged exertion offers a noninvasive tool to evaluate the impact of training history on cPS recovery and associated aerobic power output in recreational athletes.
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Affiliation(s)
- Matic Špenko
- Medical Faculty, Institute of Physiology, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Ivana Potočnik
- Medical Faculty, Institute of Physiology, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Ian Edwards
- Centre for Cardiovascular and Metabolic Neuroscience, Department of Neuroscience, Physiology & Pharmacology, University College London, London WC1E 6BT, UK
| | - Nejka Potočnik
- Medical Faculty, Institute of Physiology, University of Ljubljana, 1000 Ljubljana, Slovenia
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17
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Campa F, Colognesi LA, Moro T, Paoli A, Casolo A, Santos L, Correia RR, Lemes ÍR, Milanez VF, Christofaro DD, Cyrino ES, Gobbo LA. Effect of resistance training on bioelectrical phase angle in older adults: a systematic review with Meta-analysis of randomized controlled trials. Rev Endocr Metab Disord 2022; 24:439-449. [PMID: 35918569 PMCID: PMC10140106 DOI: 10.1007/s11154-022-09747-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/13/2022] [Indexed: 10/16/2022]
Abstract
Resistance training has been proposed as a valid practice to counteract the aging effect on body mass and its components, which can be easily evaluated though the bioelectrical impedance analysis. This study aimed to achieve a systematic review with meta-analysis on the impact of resistance training on bioelectrical proprieties in older adults.A literature review was done in four electronic databases up to 1 January 2022. The inclusion criteria were: (i) participants aged ≥ 60 years; (ii) resistance training lasted ≥ 8 weeks; (iii) measurement of raw bioelectrical parameters in randomized controlled study designs.The outcomes of the trial had to be bioelectrical phase angle (PhA), resistance (R), and reactance (Xc). The methodological quality was assessed using the Rosendal scale.Overall, seven studies with a total of 344 participants were eligible for the analysis. The quality assessment yielded a score of 71.3%. Bioelectrical PhA (0.52 degree [95%CI 0.32, 0.71], p < 0.001) and Xc (3.58 ohms [95%CI 1.97, 5.19], p < 0.001) increased, whereas R decreased (-28.50 ohms [95%CI -41.39, -15.60], p < 0.001) after the resistance training programs.In this meta-analysis, resistance training promoted increases of PhA, which result from an increase in Xc concomitant with a reduction in R. According to the bioimpedance vector analysis, resistance-trained people experienced a beneficial leftward vector displacement, whilst inactivity induced a rightward vector displacement within the R-Xc graph. In future, more sophisticated and rigorous studies that address specific criteria, methods and targeted designs are required to identify which equipment and protocols allow for an optimization of the resistance training effects.Registration code in PROSPERO: CRD42020168057.
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Affiliation(s)
- Francesco Campa
- Department of Biomedical Sciences, University of Padua, 35131, Padova, Italy.
| | - Lucas Antonio Colognesi
- Skeletal Muscle Assessment Laboratory (LABSIM), Department of Physical Education, School of Technology and Sciences, São Paulo State University (UNESP), Presidente Prudente, 19060-900, Padova, SP, Brazil
- Graduate Program in Physical Therapy, School of Technology and Science, São Paulo State University (UNESP), Brazil, UNESP, 19060-900, Presidente Prudente, SP, Brazil
| | - Tatiana Moro
- Department of Biomedical Sciences, University of Padua, 35131, Padova, Italy
| | - Antonio Paoli
- Department of Biomedical Sciences, University of Padua, 35131, Padova, Italy
| | - Andrea Casolo
- Department of Biomedical Sciences, University of Padua, 35131, Padova, Italy
| | - Leandro Santos
- Metabolism, Nutrition, and Exercise Laboratory, Physical Education and Sport Center, Londrina State University, 86057-970, Londrina, PR, Brazil
| | - Rafael Ribeiro Correia
- Multicentric Program of Postgraduate in Physiological Sciences, São Paulo State University (UNESP), School of Dentistry of Araçatuba, São Paulo, Brazil., UNESP, 19060-900, Sao Paulo, SP, Brazil
| | - Ítalo Ribeiro Lemes
- Graduate Program in Physical Therapy, School of Technology and Science, São Paulo State University (UNESP), Brazil, UNESP, 19060-900, Presidente Prudente, SP, Brazil
| | - Vinícius Flávio Milanez
- Department of Physical Education, Oeste Paulista University, UNOESTE, 19067-175, Presidente Prudente, SP, Brazil
| | - Diego Destro Christofaro
- Graduate Program in Physical Therapy, School of Technology and Science, São Paulo State University (UNESP), Brazil, UNESP, 19060-900, Presidente Prudente, SP, Brazil
| | - Edilson Serpeloni Cyrino
- Metabolism, Nutrition, and Exercise Laboratory, Physical Education and Sport Center, Londrina State University, 86057-970, Londrina, PR, Brazil
| | - Luís Alberto Gobbo
- Skeletal Muscle Assessment Laboratory (LABSIM), Department of Physical Education, School of Technology and Sciences, São Paulo State University (UNESP), Presidente Prudente, 19060-900, Padova, SP, Brazil
- Graduate Program in Physical Therapy, School of Technology and Science, São Paulo State University (UNESP), Brazil, UNESP, 19060-900, Presidente Prudente, SP, Brazil
- Metabolism, Nutrition, and Exercise Laboratory, Physical Education and Sport Center, Londrina State University, 86057-970, Londrina, PR, Brazil
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Regional Lean Soft Tissue and Intracellular Water Are Associated with Changes in Lower-Body Neuromuscular Performance: A Pilot Study in Elite Soccer Players. Eur J Investig Health Psychol Educ 2022; 12:882-892. [PMID: 35893080 PMCID: PMC9332301 DOI: 10.3390/ejihpe12080064] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 07/11/2022] [Accepted: 07/20/2022] [Indexed: 12/03/2022] Open
Abstract
The assessment of body composition over a competitive season provides valuable information that can help sports professionals to evaluate the efficacy of training and nutritional strategies, as well as monitoring athletes’ health status. The purpose of this study was to examine the association of changes in body composition and hydration status with changes in lower-body neuromuscular performance in soccer. Twenty-two male professional soccer players (mean ± SD; age: 26.4 ± 4.8 years; height: 184.3 ± 5.7 cm; body mass: 81.1 ± 6.5 kg; body fat: 11.6 ± 1.5%) took part in the study, for which they were tested at the initial and final stage of the competitive season. Total (whole body) and regional (arms and legs) lean soft tissue (LST) were estimated to obtain the body composition profile. Total body water (TBW) content, including extracellular (ECW) and intracellular (ICW) water, was obtained to monitor players’ hydration status. Countermovement jump (CMJ) height, power, and strength were used to derive players’ lower-body neuromuscular performance. The results showed that changes in legs LST and ICW significantly (p < 0.01) explained (r2 = 0.39) the improvements in CMJ height, power, and strength from the initial to the final stage of the season. Given the high demand imposed on the lower limbs during a soccer season, being more susceptible to change compared to whole-body LST, assessing regional LST and ICW would be more appropriate to provide extended information on players’ readiness.
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Barakat C, Escalante G, Stevenson SW, Bradshaw JT, Barsuhn A, Tinsley GM, Walters J. Can Bodybuilding Peak Week Manipulations Favorably Affect Muscle Size, Subcutaneous Thickness, and Related Body Composition Variables? A Case Study. Sports (Basel) 2022; 10:sports10070106. [PMID: 35878117 PMCID: PMC9321665 DOI: 10.3390/sports10070106] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 06/17/2022] [Accepted: 06/26/2022] [Indexed: 02/06/2023] Open
Abstract
Background: The purpose of this case study was to implement an evidence-based dietary approach to peaking for a bodybuilding competition and monitor its impact on body composition, muscle thickness (MT), intra-to-extra-cellular fluid shifts, subcutaneous thickness (ST), and hydration status. Secondarily, to document any adverse events of this peak week approach in a small, controlled setting. Methods Dietary practices were recorded, and laboratory testing was conducted throughout peak week, including competition morning. Assessments included: dual-energy X-ray absorptiometry (DEXA) for body composition, B-mode ultrasound for MT and ST, bioimpedance spectroscopy (BIS) for total body water (TBW)/intracellular water (ICW)/extracellular water (ECW), and raw BIS data (i.e., resistance, reactance, and phase angle), urine specific gravity (USG) for hydration status, and subjective fullness. Sequential dietary manipulations were made (i.e., CHO depletion/fat loading, CHO/water loading, and a refinement phase) with specific physiological goals. This was reflected in changes observed across all assessments throughout the peak week. Results: From the carbohydrate-depleted state (three days out) to competition day, we observed increases in lean body mass, MT, TBW (primarily ICW), and subjective fullness. Kendall’s Tau B revealed a strong relationship between carbohydrate intake and ∑MT (τ = 0.733, p = 0.056). Additionally, novel ST data demonstrated a 10% reduction for the summation of all seven sites, with some drastic changes in specific regions (e.g., −43% for triceps ST) from three days out to competition day. Conclusions: These data suggest that the prototypical goals of bodybuilders’ peak week (i.e., increasing muscle fullness, decreasing subcutaneous thickness) to enhance their aesthetics/muscularity presented can be achieved with a drug-free protocol involving dietary manipulations.
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Affiliation(s)
- Christopher Barakat
- Health Sciences and Human Performance Department, The University of Tampa, Tampa, FL 33606, USA; (J.T.B.); (A.B.); (J.W.)
- Competitive Breed LLC., Lutz, FL 33558, USA
- Correspondence:
| | - Guillermo Escalante
- Department of Kinesiology, California State University, San Bernardino, CA 92407, USA;
| | | | - Joshua T. Bradshaw
- Health Sciences and Human Performance Department, The University of Tampa, Tampa, FL 33606, USA; (J.T.B.); (A.B.); (J.W.)
- Competitive Breed LLC., Lutz, FL 33558, USA
| | - Andrew Barsuhn
- Health Sciences and Human Performance Department, The University of Tampa, Tampa, FL 33606, USA; (J.T.B.); (A.B.); (J.W.)
| | - Grant M. Tinsley
- Department of Kinesiology and Sport Management, Texas Tech University, Lubbock, TX 79409, USA;
| | - Joseph Walters
- Health Sciences and Human Performance Department, The University of Tampa, Tampa, FL 33606, USA; (J.T.B.); (A.B.); (J.W.)
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20
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Campa F, Matias C, Teixeira F, Reis J, Valamatos M, Coratella G, Monteiro C. Comparison of generalized and athletic bioimpedance-based predictive equations for estimating fat-free mass in resistance-trained exercisers. Nutrition 2022; 102:111694. [DOI: 10.1016/j.nut.2022.111694] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 04/01/2022] [Accepted: 04/07/2022] [Indexed: 11/16/2022]
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21
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Gong H, Chen S, Yu S, Liu D, Li X, Shan Z, Kong F, Yan Z, Han F. Discussion on Protein Metabolism and Requirement of Aerobics Athletes during Training Based on Multisensor Data Fusion. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:6169150. [PMID: 35313512 PMCID: PMC8934227 DOI: 10.1155/2022/6169150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 02/12/2022] [Indexed: 11/17/2022]
Abstract
Competitive aerobics has emerged as a highly competitive sport beyond its own physical limit. Modern competitive aerobics competition is very fierce; athletes cannot only rely on a specific competitive skill to achieve good results. Protein is the physical basis of life activity. The life activity of human body is closely related to protein, and protein is closely related to human exercise ability. This article aims to study protein metabolism and demand of aerobics athletes during training based on multisensor data fusion. A total of 26 female aerobics athletes were randomly divided into two groups: exercise group and exercise + nutrition group. According to the characteristics of human motion, a comprehensive measurement acquisition sensor system for collecting human motion information is designed and implemented, and the system is used to monitor the subject's protein condition in real time. The subjects took protein nutrient solution before breakfast every day. The dynamic recognition algorithm designed in this paper also has shortcomings, and the monitoring protein method based on gait and other signs is not completely correct. The experiment lasted for 7 weeks. The results showed that the level of serum transferrin receptor decreased significantly in the quiet + nutrition group for 4 weeks, which was significantly different from that at 0 and 3 weeks in the same group (P < 0.01) and was significantly different from that in the same group at 7 weeks (P < 0.05). In the exercise group, the level of serum transferrin receptor increased significantly at 5 weeks, compared with the same group at 0 and 3 weeks (P < 0.05).
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Affiliation(s)
- Hua Gong
- Liaoning Normal University Sports Institute, Dalian 116029, Liaoning, China
| | - Shuang Chen
- Department of Medical Health, Xing'an Vocational and Technical College, Ulanhot 137400, Inner Mongolia, China
| | - Shuo Yu
- Sports Department of Liaoning Agricultural Technical College, Yingkou 115009, Liaoning, China
| | - Dong Liu
- Health College, Polus International College, Chengdu 610103, Sichuan, China
| | - Xin Li
- Physical Education Department, Luxun Academy of Fine Arts, Dalian 116029, Liaoning, China
| | - Zeliang Shan
- Rehabilitation and Nursing Institute, Tianfu College of Swufe, Chengdu 610103, Sichuan, China
| | - Fan Kong
- School of Physical Education and Health, Dalian University of Technlogy, Dalian 116029, Liaoning, China
| | - Zhi Yan
- Liaoning Normal University Sports Institute, Dalian 116029, Liaoning, China
- Orthopaedics, Dalian Port Hospital, Dalian 116001, Liaoning, China
| | - Feng Han
- Orthopaedics, Dalian Port Hospital, Dalian 116001, Liaoning, China
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22
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Changes in Intra-to-Extra-Cellular Water Ratio and Bioelectrical Parameters from Day-Before to Day-Of Competition in Bodybuilders: A Pilot Study. Sports (Basel) 2022; 10:sports10020023. [PMID: 35202062 PMCID: PMC8880471 DOI: 10.3390/sports10020023] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 02/09/2022] [Accepted: 02/10/2022] [Indexed: 01/06/2023] Open
Abstract
The present study analyzed the effects from day-before to day-of bodybuilding competition on intracellular water (ICW), extracellular water (ECW), total body water (TBW), and bioimpedance analysis (BIA) parameters (resistance, R; reactance, Xc; and derived scores) in bodybuilding athletes. We assessed anthropometry and BIA (foot-to-hand; tetrapolar; 50 kHz) in 11 male bodybuilders (29 ± 4 year-old; 81 ± 8 kg; 172 ± 7 cm; 27 ± 2 kg/m2) both on the pre-competition day and on the contest day. Results revealed significant increases in ICW (31.6 ± 2.9 to 33.1 ± 2.8 L), with concomitant decreases in ECW (19.8 ± 1.8 to 17.2 ± 1.4 L) and TBW (51.4 ± 4.6 to 50.3 ± 4.2 L) from the day-before competition to contest day, which resulted in relatively large increases in the ICW/ECW ratio (1.60 ± 0.03 to 1.92 ± 0.01 L). Moreover, significant increases in R (391 ± 34 to 413 ± 33 ohm), Xc (64 ± 7 to 70 ± 6 ohm), and phase angle (9.3 ± 0.6 to 9.6 ± 0.7 degree) were observed between time periods. The phase angle scores reported on show-day of 9.6 and 11.2 appear to be the highest group mean and individual values observed in the literature to date. In conclusion, the strategies carried out on the final day of peak-week bodybuilding preparation lead to changes in BIA parameters and body water, with fluids shifting from the extra- to the intracellular compartment.
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23
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Campa F, Gobbo LA, Stagi S, Cyrino LT, Toselli S, Marini E, Coratella G. Bioelectrical impedance analysis versus reference methods in the assessment of body composition in athletes. Eur J Appl Physiol 2022; 122:561-589. [DOI: 10.1007/s00421-021-04879-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 12/16/2021] [Indexed: 12/21/2022]
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24
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Campa F, Coratella G. Athlete or Non-athlete? This Is the Question in Body Composition. Front Physiol 2022; 12:814572. [PMID: 34975550 PMCID: PMC8718693 DOI: 10.3389/fphys.2021.814572] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Accepted: 11/30/2021] [Indexed: 12/19/2022] Open
Affiliation(s)
- Francesco Campa
- Department for Life Quality Studies, Università degli Studi di Bologna, Bologna, Italy
| | - Giuseppe Coratella
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
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25
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Campa F, Levi Micheli M, Pompignoli M, Cannataro R, Gulisano M, Toselli S, Greco G, Coratella G. The Influence of Menstrual Cycle on Bioimpedance Vector Patterns, Performance, and Flexibility in Elite Soccer Players. Int J Sports Physiol Perform 2022; 17:58-66. [PMID: 34404026 DOI: 10.1123/ijspp.2021-0135] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 04/13/2021] [Accepted: 05/01/2021] [Indexed: 02/08/2023]
Abstract
PURPOSE To examine whether menstrual cycle affects body composition and bioimpedance vector analysis (BIVA) patterns, jumping and sprinting ability, and flexibility in elite soccer players. METHODS A total of 20 elite female soccer players (age: 23.8 [3.4] y, height: 1.63 [0.04] m, body mass: 61.4 [5.9] kg, and body mass index: 22.5 [2.4] kg/m2) were monitored during the early follicular and ovulatory phase across 2 consecutive menstrual cycles. Bioimpedance analysis was performed using foot-to-hand technology, and total body water and fat mass were determined by specific equations developed for athletes. Bioelectrical resistance and reactance were adjusted according to the BIVA procedures and plotted as a vector within the resistance-reactance graph. In addition, countermovement jump, 20-m sprint, and sit and reach were assessed. RESULTS A time effect (P < .05) was found for body mass, total body water, bioelectrical resistance and reactance, and flexibility. Specifically, body mass increased (P = .021) along with a gain in total body water (P = .001) from the ovulatory to the early follicular phase, while it decreased from the early follicular to the ovulatory phase during the second menstrual cycle. The BIVA vector shortened during the early follicular phases (P < .001). No change in jumping and sprinting capacity was observed (P > .05). Flexibility was impaired during the early follicular phases (P < .05). CONCLUSIONS Specific bioelectrical impedance analysis and BIVA procedures are able to detect menstrual cycle-induced changes in body composition in elite soccer players. The early follicular phase resulted in fluid accumulations and BIVA vector shortening. In addition, while menstrual cycle did not affect performance, a fluctuation in flexibility was observed.
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26
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Coratella G, Campa F, Matias CN, Toselli S, Koury JC, Andreoli A, Sardinha LSB, Silva AM. Generalized bioelectric impedance-based equations underestimate body fluids in athletes. Scand J Med Sci Sports 2021; 31:2123-2132. [PMID: 34383339 PMCID: PMC9292858 DOI: 10.1111/sms.14033] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 08/05/2021] [Accepted: 08/09/2021] [Indexed: 12/12/2022]
Abstract
The current study aimed: (i) to external validate total body water (TBW) and extracellular water (ECW) derived from athlete and non‐athlete predictive equations using radioisotope dilution techniques as a reference criterion in male and female athletes; (ii) in a larger sample, to determine the agreement between specific and generalized equations when estimating body fluids in male and female athletes practicing different sports. A total of 1371 athletes (men: n = 921, age 23.9 ± 1.4 y; women: n = 450, age 27.3 ± 6.8 y) participated in this study. All athletes underwent bioelectrical impedance analyses, while TBW and ECW were assessed with dilution techniques in a subgroup of 185 participants (men: n = 132, age 21.7 ± 5.1 y; women: n = 53, age 20.3 ± 4.5 y). Two specific and eight generalized predictive equations were tested. Compared to the criterion methods, no mean bias was observed using the athlete‐specific equations for TBW and ECW (−0.32 to 0.05, p > 0.05) and the coefficient of determination ranged from R2 = 0.83 to 0.94. The majority of the generalized predictive equations underestimated TBW and ECW (p < 0.05); R2 ranged from 0.66 to 0.89. In the larger sample, all the generalized equations showed lower TBW and ECW values (ranging from −6.58 to −0.19, p < 0.05) than specific predictive equations; except for TBW in female power/velocity (one equation) athletes and team sport (two equations). The use of generalized BIA‐based equations leads to an underestimation of TBW, and ECW compared to athlete‐specific predictive equations. Additionally, the larger sample indicates that generalized equations overall provided lower TBW and ECW compared to the athlete‐specific equations.
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Affiliation(s)
- Giuseppe Coratella
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
| | - Francesco Campa
- Department for Life Quality Studies, Università degli Studi di Bologna, Rimini, Italy
| | - Catarina N Matias
- Bettery Life lab, Bettery, Lisbon, Portugal.,CIDEFES -Universidade Lusófona, Lisboa, Portugal
| | - Stefania Toselli
- Departments of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Josely C Koury
- Department of Basic and Experimental Nutrition, Nutrition Institute, State University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Angela Andreoli
- Department of Systems Medicine, University of Tor Vergata, Rome, Italy
| | - Lui S B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz-Quebrada, Portugal
| | - Analiza M Silva
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz-Quebrada, Portugal
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27
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Cattem MVDO, Sinforoso BT, Campa F, Koury JC. Bioimpedance Vector Patterns according to Age and Handgrip Strength in Adolescent Male and Female Athletes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18116069. [PMID: 34199903 PMCID: PMC8200122 DOI: 10.3390/ijerph18116069] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 05/28/2021] [Accepted: 05/30/2021] [Indexed: 12/31/2022]
Abstract
Bioelectric Impedance Vector Analysis (BIVA) can be used to qualitatively compare individuals’ hydration and cell mass independently of predictive equations. This study aimed to analyze the efficiency of BIVA considering chronological age and handgrip strength in adolescent athletes. A total of 273 adolescents (male; 59%) engaged in different sports were evaluated. Bioelectrical impedance (Z), resistance (R), reactance (Xc), and phase angle (PhA) were obtained using a single-frequency bioelectrical impedance analyzer. Fat-free mass (FFM) and total body water were estimated using bioimpedance-based equations specific for adolescents. Female showed higher values of R (5.5%, p = 0.001), R/height (3.8%, p = 0.041), Z (5.3%, p = 0.001), and fat mass (53.9%, p = 0.001) than male adolescents. Male adolescents showed higher values of FFM (5.3%, p = 0.021) and PhA (3.1%, p = 0.033) than female adolescents. In both stratifications, adolescents (older > 13 years or stronger > median value) shifted to the left on the R-Xc graph, showing patterns of higher hydration and cell mass. The discrimination of subjects older than 13 years and having higher median of handgrip strength values was possibly due to maturity differences. This study showed that BIVA identified age and strength influence in vector displacement, assessing qualitative information and offering patterns of vector distribution in adolescent athletes.
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Affiliation(s)
- Marcus Vinicius de Oliveira Cattem
- Department of Basic and Experimental Nutrition, Nutrition Institute, State University of Rio de Janeiro, Rio de Janeiro 20550-900, Brazil; (M.V.d.O.C.); (B.T.S.)
| | - Bruna Taranto Sinforoso
- Department of Basic and Experimental Nutrition, Nutrition Institute, State University of Rio de Janeiro, Rio de Janeiro 20550-900, Brazil; (M.V.d.O.C.); (B.T.S.)
| | - Francesco Campa
- Department for Life Quality Studies, University of Bologna, 47921 Rimini, Italy;
| | - Josely Correa Koury
- Department of Basic and Experimental Nutrition, Nutrition Institute, State University of Rio de Janeiro, Rio de Janeiro 20550-900, Brazil; (M.V.d.O.C.); (B.T.S.)
- Correspondence:
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28
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Assessment of Body Composition in Athletes: A Narrative Review of Available Methods with Special Reference to Quantitative and Qualitative Bioimpedance Analysis. Nutrients 2021; 13:nu13051620. [PMID: 34065984 PMCID: PMC8150618 DOI: 10.3390/nu13051620] [Citation(s) in RCA: 112] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 04/29/2021] [Accepted: 05/11/2021] [Indexed: 01/09/2023] Open
Abstract
Body composition is acknowledged as a determinant of athletic health and performance. Its assessment is crucial in evaluating the efficiency of a diet or aspects related to the nutritional status of the athlete. Despite the methods traditionally used to assess body composition, bioelectric impedance analysis (BIA) and bioelectric impedance vector analysis (BIVA) have recently gained attention in sports, as well as in a research context. Only until recently have specific regression equations and reference tolerance ellipses for athletes become available, while specific recommendations for measurement procedures still remain scarce. Therefore, the present narrative review summarizes the current literature regarding body composition analysis, with a special focus on BIA and BIVA. The use of specific technologies and sampling frequencies is described, and recommendations for the assessment of body composition in athletes are provided. Additionally, the estimation of body composition parameters (i.e., quantitative analysis) and the interpretation of the raw bioelectrical data (i.e., qualitative analysis) are examined, highlighting the innovations now available in athletes. Lastly, it should be noted that, up until 2020, the use of BIA and BIVA in athletes failed to provide accurate results due to unspecific equations and references; however, new perspectives are now unfolding for researchers and practitioners. In light of this, BIA and especially BIVA can be utilized to monitor the nutritional status and the seasonal changes in body composition in athletes, as well as provide accurate within- and between-athlete comparisons.
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Spehnjak M, Gušić M, Molnar S, Baić M, Andrašić S, Selimi M, Mačak D, Madić DM, Žilič Fišer S, Sporiš G, Trajković N. Body Composition in Elite Soccer Players from Youth to Senior Squad. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:4982. [PMID: 34067121 PMCID: PMC8125322 DOI: 10.3390/ijerph18094982] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Revised: 04/23/2021] [Accepted: 04/26/2021] [Indexed: 12/05/2022]
Abstract
There is a strong relationship between body composition and performance in male soccer players. This study aimed to display an optimal body height and weight, and body composition profile of male soccer players for four competitive age groups. This cross-sectional study included four groups: U-15 (n = 152), U-17 (n = 154), U-19 (n = 61), and seniors (n = 27). Body height and weight were measured under standard conditions, and the bioelectrical impedance analyzer (BIA) analyzed body composition. On average, soccer players in the U-15 group had significantly lower body height, weight, body mass index, skeletal muscle mass, fat-free mass, total body water and basal metabolic rate than U-17, U-19 and seniors, but a higher percentage of body fat than U-17 and U-19, p < 0.05. In addition, the results show significant non-linear increases in body height, weight and body composition as the age of soccer players increases, with the exception of the percentage of body fat mass, which tends to significantly decrease with age. The main findings of this study are that body fat mass remains stable and similar across all age groups, including in the senior squad.
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Affiliation(s)
- Marijan Spehnjak
- Archdiocese of Zagreb, 10000 Zagreb, Croatia; (M.S.); (D.M.); (D.M.M.)
| | - Marko Gušić
- Faculty of Sport and Physical Education, University of Novi Sad, 21000 Novi Sad, Serbia; (M.G.); (S.M.)
| | - Slavko Molnar
- Faculty of Sport and Physical Education, University of Novi Sad, 21000 Novi Sad, Serbia; (M.G.); (S.M.)
| | - Mario Baić
- Faculty of Kinesiology, University of Zagreb, 10000 Zagreb, Croatia; (M.B.); (G.S.)
| | - Slobodan Andrašić
- Faculty of Economics, University of Novi Sad, 24000 Subotica, Serbia;
| | - Musa Selimi
- Faculty of Physical Education and Sport, University of Prishtina, 10000 Prishtina, Kosovo;
| | - Draženka Mačak
- Archdiocese of Zagreb, 10000 Zagreb, Croatia; (M.S.); (D.M.); (D.M.M.)
| | - Dejan M. Madić
- Archdiocese of Zagreb, 10000 Zagreb, Croatia; (M.S.); (D.M.); (D.M.M.)
| | | | - Goran Sporiš
- Faculty of Kinesiology, University of Zagreb, 10000 Zagreb, Croatia; (M.B.); (G.S.)
| | - Nebojša Trajković
- Faculty of Sport and Physical Education, University of Nis, 18000 Nis, Serbia
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Francisco R, Jesus F, Gomes T, Nunes CL, Rocha P, Minderico CS, Heymsfield SB, Lukaski H, Sardinha LB, Silva AM. Validity of water compartments estimated using bioimpedance spectroscopy in athletes differing in hydration status. Scand J Med Sci Sports 2021; 31:1612-1620. [PMID: 33817862 DOI: 10.1111/sms.13966] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 03/25/2021] [Accepted: 03/30/2021] [Indexed: 11/29/2022]
Abstract
We aimed to validate bioelectrical impedance spectroscopy (BIS), compared with tracer dilution measurements, for assessing total body water (TBW), intracellular water (ICW), and extracellular water (ECW) in athletes differing in hydration status. A total of 201 athletes participated. Reference TBW and ECW were determined by deuterium and bromide dilution methods, respectively; ICW was calculated as TBW-ECW. Water compartments were estimated by BIS. Urine specific gravity (USG) classified athletes into well-hydrated (WH) (USG < 1.023), euhydrated (EH) (USG:1.024-1.026), and dehydrated (DH) (USG>1.027). No significant differences were found between BIS and the reference methods for WH, EH, and DH athletes for TBW, ICW nor ECW (p>0.05). Concordance of TBW and its compartments by method was significant (p < 0.001) with coefficients of determination ranging by hydration classification [EH:52-96%;DH:56-98%;WH:71-96%]. Bland-Altman analyses showed no trend for TBW and its compartments with the exception of ICW in the WH athletes. The 95% confidence BIS intervals for the WH group ranged from -3.08 to 2.68 kg for TBW, -4.28 to 4.14 kg for ICW, and -3.29 to 3.02 kg for ECW. For the EH athletes, the 95% confidence intervals ranged from -2.78 to 2.24 kg for TBW, -4.10 to 3.94 kg for ICW, and -3.44 to 3.06 kg for ECW. In DH group, TBW ranged between -1.99 and 2.01 kg, ICW between -3.78 and 6.34 kg, and ECW between -6.22 and 3.74 kg. These findings show that BIS is useful at a group level in assessing water compartments in athletes differing in hydration status. However, the usefulness of BIS is limited at an individual level, especially in dehydrated athletes.
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Affiliation(s)
- Rúben Francisco
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Filipe Jesus
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Tricy Gomes
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Catarina L Nunes
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Paulo Rocha
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Cláudia S Minderico
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | | | - Henry Lukaski
- Department of Kinesiology and Public Health Education, Hyslop Sports Center, University of North Dakota, Grand Forks, ND, USA
| | - Luís B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Analiza M Silva
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
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Kasper AM, Langan-Evans C, Hudson JF, Brownlee TE, Harper LD, Naughton RJ, Morton JP, Close GL. Come Back Skinfolds, All Is Forgiven: A Narrative Review of the Efficacy of Common Body Composition Methods in Applied Sports Practice. Nutrients 2021; 13:nu13041075. [PMID: 33806245 PMCID: PMC8065383 DOI: 10.3390/nu13041075] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 03/17/2021] [Accepted: 03/21/2021] [Indexed: 01/11/2023] Open
Abstract
Whilst the assessment of body composition is routine practice in sport, there remains considerable debate on the best tools available, with the chosen technique often based upon convenience rather than understanding the method and its limitations. The aim of this manuscript was threefold: (1) provide an overview of the common methodologies used within sport to measure body composition, specifically hydro-densitometry, air displacement plethysmography, bioelectrical impedance analysis and spectroscopy, ultra-sound, three-dimensional scanning, dual-energy X-ray absorptiometry (DXA) and skinfold thickness; (2) compare the efficacy of what are widely believed to be the most accurate (DXA) and practical (skinfold thickness) assessment tools and (3) provide a framework to help select the most appropriate assessment in applied sports practice including insights from the authors' experiences working in elite sport. Traditionally, skinfold thickness has been the most popular method of body composition but the use of DXA has increased in recent years, with a wide held belief that it is the criterion standard. When bone mineral content needs to be assessed, and/or when it is necessary to take limb-specific estimations of fat and fat-free mass, then DXA appears to be the preferred method, although it is crucial to be aware of the logistical constraints required to produce reliable data, including controlling food intake, prior exercise and hydration status. However, given the need for simplicity and after considering the evidence across all assessment methods, skinfolds appear to be the least affected by day-to-day variability, leading to the conclusion 'come back skinfolds, all is forgiven'.
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Affiliation(s)
- Andreas M. Kasper
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK; (A.M.K.); (C.L.-E.); (J.F.H.); (T.E.B.); (J.P.M.)
| | - Carl Langan-Evans
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK; (A.M.K.); (C.L.-E.); (J.F.H.); (T.E.B.); (J.P.M.)
| | - James F. Hudson
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK; (A.M.K.); (C.L.-E.); (J.F.H.); (T.E.B.); (J.P.M.)
| | - Thomas E. Brownlee
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK; (A.M.K.); (C.L.-E.); (J.F.H.); (T.E.B.); (J.P.M.)
| | - Liam D. Harper
- School of Human and Health Sciences, University of Huddersfield, Huddersfield HD1 3DH, UK; (L.D.H.); (R.J.N.)
| | - Robert J. Naughton
- School of Human and Health Sciences, University of Huddersfield, Huddersfield HD1 3DH, UK; (L.D.H.); (R.J.N.)
| | - James P. Morton
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK; (A.M.K.); (C.L.-E.); (J.F.H.); (T.E.B.); (J.P.M.)
| | - Graeme L. Close
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK; (A.M.K.); (C.L.-E.); (J.F.H.); (T.E.B.); (J.P.M.)
- Correspondence: ; Tel.: +44-151-904-6266
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Martins PC, DA Silva P, Silva DA. Cell integrity indicators in university athletes: comparison among playing positions in indoor football. J Sports Med Phys Fitness 2021; 61:1675-1681. [PMID: 33480517 DOI: 10.23736/s0022-4707.21.12008-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND The aim of this study was to compare cell integrity indicators according to the playing position in university indoor football athletes. METHODS The sample consisted of 34 university athletes (20 female and 14 male). Dependent variables were cell integrity indicators: total body water (TBW), intracellular water (ICW), extracellular water (ECW), ECW/ICW ratio, body cell mass (BCM), ECW/BCM ratio, phase angle (PhA), resistance (R), Xc (reactance) and impedance (Z), evaluated by the electrical bioimpedance method. Independent variable was the playing position: goalkeeper (a), defender (a), winger (left and right) and pivot collected through questionnaire. Control variables were age, time of sport practice, participation in competitions per year and training load obtained by applying the anamnesis form, and body fat and fat and bone-free mass were obtained through dual emission X-ray absorptiometry (DXA). Covariance analysis (ANCOVA) was used, with post-roc Tukey's test, to identify difference between groups, with p <0.05. RESULTS In the adjusted analysis, female athletes in the defense position had BCM values (31.1 ±2.1) higher than those in the wing position (25.8 ±1.1) (p <0.01). In males, pivots showed higher ICW values (31.47 ±0.77) when compared to defenders (25.7 ±0.8) (p = 0.02). In addition, goalkeepers had higher TBW values (52.7 ±2.5) compared to wingers (42.3 ±1.2) (p = 0.03). CONCLUSIONS Cell integrity indicators may vary according to the playing position in indoor football.
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Affiliation(s)
- Priscila C Martins
- Centro de Desportos, Departamento de Educação Física, Universidade Federal de Santa Catarina, Santa Catarina, Brasil -
| | - Paula DA Silva
- Centro de Desportos, Departamento de Educação Física, Universidade Federal de Santa Catarina, Santa Catarina, Brasil
| | - Diego A Silva
- Centro de Desportos, Departamento de Educação Física, Universidade Federal de Santa Catarina, Santa Catarina, Brasil
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Rossi L. Bioimpedance to Assess the Body Composition of High-performance Karate Athletes: Applications, Advantages and Perspectives. JOURNAL OF ELECTRICAL BIOIMPEDANCE 2021; 12:69-72. [PMID: 35069943 PMCID: PMC8667809 DOI: 10.2478/joeb-2021-0009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Karate, a millennial martial art, was recently inserted among traditional Olympic combat sports for the Olympic Games in Japan. The aim of the present study is to determine, through bioimpedance analysis, the body composition of high-performance athletes participating in the São Paulo Olympic Karate Project. Participants were 22 athletes of both sexes, average age of 23.6 (6.0) years old, body mass of 66.6 (13.5) kg and fat percentage of 16.6 (5.5)%. Bioimpedance test indicated significant differences between sexes related to sexual dysmorphia, which had an impact on bioelectrical variables. Through comparative evaluation between male and female athletes, this study contributes to body composition analysis, indicating that, in the future, related bioimpedance tests should be used beyond their classical application, including phase angle, muscle function and other attributes.
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Affiliation(s)
- Luciana Rossi
- Scientific Academic Department (DAC) of the São Paulo Karate Federation (FPK). Post-doctoral degree from School of Pharmaceutical Sciences – University of São Paulo (USP), São Paulo – SP, Brazil
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Campa F, Matias CN, Nikolaidis PT, Lukaski H, Talluri J, Toselli S. Prediction of Somatotype from Bioimpedance Analysis in Elite Youth Soccer Players. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17218176. [PMID: 33167449 PMCID: PMC7663908 DOI: 10.3390/ijerph17218176] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 10/23/2020] [Accepted: 10/28/2020] [Indexed: 01/04/2023]
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/m2), 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 × stature2/resistance + 0.135 × BMI + 0.232 × triceps skinfold, R2 = 0.86, SEE = 0.28; mesomorphy = 6.848 + 0.138 × phase angle + 0.232 × contracted arm circumference + 0.166 × calf circumference − 0.093 × stature, R2 = 0.87, SEE = 0.40; ectomorphy = −5.592 − 38.237 × FFM/stature + 0.123 × stature, R2 = 0.86, SEE = 0.37). Cross validation revealed R2 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.
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Affiliation(s)
- Francesco Campa
- Department for Life Quality Studies, University of Bologna, 47921 Rimini, Italy;
| | - Catarina N. Matias
- Faculdade de Educação Física e Desporto, Universidade Lusófona, 1749-024 Lisboa, Portugal;
- CIPER—Interdisciplinary Center for the Study of Human Performance, Faculty Human Kinetics, University of Lisbon, 1495-751 Lisboa, Portugal
- Bioperformance & Nutrition Research Unit, Ingrediente Métrico S.A., 2740-262 Lisbon, Portugal
| | - Pantelis T. Nikolaidis
- School of Health and Caring Sciences, University of West Attica, 12243 Athens, Greece
- Correspondence:
| | - Henry Lukaski
- Department of Kinesiology and Public Health Education, Hyslop Sports Center, University of North Dakota, Grand Forks, ND 58202, USA;
| | - Jacopo Talluri
- Department of clinical research and development, Akern Ltd., 56121 Pisa, Italy;
| | - Stefania Toselli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy;
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Total body water is the preferred method to use in forensic blood-alcohol calculations rather than ethanol's volume of distribution. Forensic Sci Int 2020; 316:110532. [PMID: 33099270 DOI: 10.1016/j.forsciint.2020.110532] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 09/25/2020] [Accepted: 09/28/2020] [Indexed: 11/20/2022]
Abstract
During the prosecution and defence of drink-driving cases, forensic practitioners are often required to engage in various blood-alcohol calculations, such as whether or not the statutory limit was exceeded (e.g. 80mg/100mL, 0.08g/100mL or 0.80g/L). For this purpose, most forensic scientists utilize the Widmark equation, or some modification thereof, to calculate a person's blood alcohol concentration (BAC) based on information about the amount of ethanol consumed and the pattern of drinking. This equation comes in two main forms; one of which incorporates the apparent volume of distribution of ethanol (V) and the other a person's total body water (TBW). In this study, we utilised two independent data sets, one involving the determination of V for ethanol in 173 men and 63 women, and the other TBW determined for 582 men and 884 women. Those subjects included in the TBW group represented various racial groups (Caucasians, African Americans, Hispanics, Asians and Puerto Ricans), with body mass index (BMI) ranging from 17 to 80kg/m2. Both versions of the Widmark equation were evaluated in relation to their accuracy and precision in predicting TBW and/or V using the two most common anthropometric equations; those of Watson et al. and Forrest. Both anthropometric equations exhibited good accuracy (<4.3%) for the prediction of both TBW and V. However, the root mean square error was lower TBW was used for prediction (9.09-12.84%) rather than V (11.72-15.08%). Overall, this study has demonstrated (a) that blood-alcohol calculations are more reliable using TBW rather than V (b) that both equations (Watson et al. and Forrest) are applicable to ethnic groups other than Caucasians and (c) the Forrest equation predicts TBW in men and women with BMI from 17 to 35kg/m2 and that the Watson et al. equation works for those with more extreme BMI; females (17-80kg/m2) and males (17-67kg/m2).
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Campa F, Silva AM, Matias CN, Monteiro CP, Paoli A, Nunes JP, Talluri J, Lukaski H, Toselli S. Body Water Content and Morphological Characteristics Modify Bioimpedance Vector Patterns in Volleyball, Soccer, and Rugby Players. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17186604. [PMID: 32927903 PMCID: PMC7559102 DOI: 10.3390/ijerph17186604] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 09/02/2020] [Accepted: 09/09/2020] [Indexed: 01/06/2023]
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/m2) 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.
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Affiliation(s)
- Francesco Campa
- Department for Life Quality Studies, University of Bologna, 47921 Rimini, Italy
- Correspondence:
| | - Analiza M. Silva
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, 1499-002 Cruz Quebrada, Portugal; (A.M.S.); (C.N.M.); (C.P.M.)
| | - Catarina N. Matias
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, 1499-002 Cruz Quebrada, Portugal; (A.M.S.); (C.N.M.); (C.P.M.)
| | - Cristina P. Monteiro
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, 1499-002 Cruz Quebrada, Portugal; (A.M.S.); (C.N.M.); (C.P.M.)
| | - Antonio Paoli
- Department of Biomedical Science, University of Padova, 35100 Padova, Italy;
| | - João Pedro Nunes
- Metabolism, Nutrition, and Exercise Laboratory, Physical Education and Sports Center, Londrina State University, 86057 Londrina, Brazil;
| | - Jacopo Talluri
- Department of clinical research and development, Akern Ltd., 56121 Pisa, Italy;
| | - Henry Lukaski
- Department of Kinesiology and Public Health Education, Hyslop Sports Center, University of North Dakota, Grand Forks, ND 58202, USA;
| | - Stefania Toselli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy;
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Matias CN, Campa F, Santos DA, Lukaski H, Sardinha LB, Silva AM. Fat-free Mass Bioelectrical Impedance Analysis Predictive Equation for Athletes using a 4-Compartment Model. Int J Sports Med 2020; 42:27-32. [PMID: 32770535 DOI: 10.1055/a-1179-6236] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Bioelectrical impedance analysis equations for fat-free mass prediction in healthy populations exist, nevertheless none accounts for the inter-athlete differences of the chemical composition of the fat-free mass. We aimed to develop a bioimpedance-based model for fat-free mass prediction based on the four-compartment model in a sample of national level athletes; and to cross-validate the new models in a separate cohort of athletes using a 4-compartment model as a criterion. There were 142 highly trained athletes (22.9±5.0 years) evaluated during their respective competitive seasons. Athletes were randomly split into development (n=95) and validation groups (n=47). The criterion method for fat-free mass was the 4-compartment model. Resistance and reactance were obtained with a phase-sensitive 50 kHz bioimpedance device. Athletic impedance-based models were developed (fat-free mass=- 2.261+0.327*Stature2/Resistance+0.525*Weight+5.462*Sex, where stature is in cm, Resistance is in Ω, Weight is in kg, and sex is 0 if female or 1 if male). Cross validation revealed R2 of 0.94, limits of agreement around 10% variability and no trend, as well as a high concordance correlation coefficient. The new equation can be considered valid thus affording practical means to quantify fat-free mass in elite adult athletes.
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Affiliation(s)
- Catarina N Matias
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Cruz Quebrada, Portugal
| | - Francesco Campa
- Department of Biomedical and Neuromotor Science, University of Bologna, Bologna, Italy
| | - Diana A Santos
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Cruz Quebrada, Portugal
| | - Henry Lukaski
- Department of Kinesiology and Public Health Education, Hyslop Sports Center, University of North Dakota, Grand Forks, United States
| | - Luís B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Cruz Quebrada, Portugal
| | - Analiza M Silva
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Cruz Quebrada, Portugal
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Reis JF, Matias CN, Campa F, Morgado JP, Franco P, Quaresma P, Almeida N, Curto D, Toselli S, Monteiro CP. Bioimpedance Vector Patterns Changes in Response to Swimming Training: An Ecological Approach. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E4851. [PMID: 32640533 PMCID: PMC7369706 DOI: 10.3390/ijerph17134851] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 06/20/2020] [Accepted: 07/02/2020] [Indexed: 02/06/2023]
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 T2 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 m performance (p < 0.01). CONCLUSIONS PhA, obtained by bioelectrical R and Xc, can be useful in monitoring the condition of swimmers preparing for competition. Monitoring BIVA patterns allows for an ecological approach to the swimmers' health and condition assessment without resorting to equations to predict the related body composition variables.
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Affiliation(s)
- Joana F. Reis
- Faculdade de Motricidade Humana, Laboratory of Physiology and Biochemistry of Exercise, Universidade de Lisboa, 1499-002 Cruz Quebrada-Dafundo, Portugal; (J.F.R.); (C.N.M.); (J.P.M.); (P.Q.); (N.A.); (D.C.); (C.P.M.)
- Interdisciplinary Center for the Study of Human Performance (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002 Cruz Quebrada-Dafundo, Portugal
| | - Catarina N. Matias
- Faculdade de Motricidade Humana, Laboratory of Physiology and Biochemistry of Exercise, Universidade de Lisboa, 1499-002 Cruz Quebrada-Dafundo, Portugal; (J.F.R.); (C.N.M.); (J.P.M.); (P.Q.); (N.A.); (D.C.); (C.P.M.)
- Interdisciplinary Center for the Study of Human Performance (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002 Cruz Quebrada-Dafundo, Portugal
| | - Francesco Campa
- Department for Life Quality Studies, University of Bologna, 47921 Rimini, Italy
| | - José P. Morgado
- Faculdade de Motricidade Humana, Laboratory of Physiology and Biochemistry of Exercise, Universidade de Lisboa, 1499-002 Cruz Quebrada-Dafundo, Portugal; (J.F.R.); (C.N.M.); (J.P.M.); (P.Q.); (N.A.); (D.C.); (C.P.M.)
- Instituto Superior de Ciências Educativas, 1500-210 Lisbon, Portugal
- Universidade Europeia, 1500-210 Lisbon, Portugal
| | - Paulo Franco
- Federação Portuguesa de Natação, 1500-210 Lisbon, Portugal;
| | - Pedro Quaresma
- Faculdade de Motricidade Humana, Laboratory of Physiology and Biochemistry of Exercise, Universidade de Lisboa, 1499-002 Cruz Quebrada-Dafundo, Portugal; (J.F.R.); (C.N.M.); (J.P.M.); (P.Q.); (N.A.); (D.C.); (C.P.M.)
| | - Nuno Almeida
- Faculdade de Motricidade Humana, Laboratory of Physiology and Biochemistry of Exercise, Universidade de Lisboa, 1499-002 Cruz Quebrada-Dafundo, Portugal; (J.F.R.); (C.N.M.); (J.P.M.); (P.Q.); (N.A.); (D.C.); (C.P.M.)
- Instituto Superior de Ciências Educativas, 1500-210 Lisbon, Portugal
| | - Dalia Curto
- Faculdade de Motricidade Humana, Laboratory of Physiology and Biochemistry of Exercise, Universidade de Lisboa, 1499-002 Cruz Quebrada-Dafundo, Portugal; (J.F.R.); (C.N.M.); (J.P.M.); (P.Q.); (N.A.); (D.C.); (C.P.M.)
| | - Stefania Toselli
- Department of Biomedical and Neuromotor Science, University of Bologna, 40125 Bologna, Italy;
| | - Cristina P. Monteiro
- Faculdade de Motricidade Humana, Laboratory of Physiology and Biochemistry of Exercise, Universidade de Lisboa, 1499-002 Cruz Quebrada-Dafundo, Portugal; (J.F.R.); (C.N.M.); (J.P.M.); (P.Q.); (N.A.); (D.C.); (C.P.M.)
- Interdisciplinary Center for the Study of Human Performance (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002 Cruz Quebrada-Dafundo, Portugal
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Graybeal AJ, Moore ML, Cruz MR, Tinsley GM. Body Composition Assessment in Male and Female Bodybuilders: A 4-Compartment Model Comparison of Dual-Energy X-Ray Absorptiometry and Impedance-Based Devices. J Strength Cond Res 2020; 34:1676-1689. [DOI: 10.1519/jsc.0000000000002831] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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Cell integrity indicators assessed by bioelectrical impedance: A systematic review of studies involving athletes. J Bodyw Mov Ther 2020; 24:154-164. [DOI: 10.1016/j.jbmt.2019.05.017] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 05/17/2019] [Indexed: 11/17/2022]
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Hetherington-Rauth M, Baptista F, Sardinha LB. BIA-assessed cellular hydration and muscle performance in youth, adults, and older adults. Clin Nutr 2019; 39:2624-2630. [PMID: 31837838 DOI: 10.1016/j.clnu.2019.11.040] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 11/06/2019] [Accepted: 11/20/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND & AIMS Alterations in body hydration can have an impact on muscle performance, with consequences not only at a sporting level, but on overall health and daily functional competence. Given that the estimation of body water from BIA is based on prediction equations involving assumptions on tissue hydration and body geometry, it is unclear if phase angle (PhA), which is not influenced by assumptions, is a better marker of muscle performance than the BIA estimated parameters of body water. Therefore, the aims of this investigation were to analyze the relationships of BIA-estimated body water compartments with muscle performance among youth, adults, and older adults, and to assess the added value of PhA as a marker of muscle performance. METHODS BIA assessments were completed on 263 youth (ages 6-17), 249 adults (ages 18-64), and 75 older adults (ages 65+). Muscle performance was assessed by jumping mechanography (power and force) and handgrip strength. Partial correlations were used to compare the degree of association among the BIA measures with muscle performance for each age group, controlling for sex, age, and body weight. RESULTS TBW, ICW, and PhA were associated with muscle performance at the lower and upper limbs in all age groups (p < 0.05), with the exception of PhA with handgrip strength in adults and older adults and TBW with lower limb total force in the older adults. In youth, the highest associations observed were PhA with lower limb muscle power (r = 0.45, CI:0.35-0.54, p < 0.05) and with handgrip strength (r = 0.42, CI:0.32-0.52, p < 0.05). In adults and older adults, the major associations observed were those of ICW with lower limb muscle power (adults, r = 0.53, CI:0.43-0.61, p < 0.05; older adults, r = 0.52, CI = 0.33-0.67, p < 0.05). ECW had significantly lower associations (p < 0.05) with both lower limb force and power in adults and older adults compared to youth. In the older adults, ECW was negatively associated with lower limb total force (r = -0.24; p < 0.05). CONCLUSIONS BIA derived hydration parameters may be useful markers of muscle performance in all age groups. In particular, the ICW compartment was a better predictor of muscle performance in adults and older adults compared to youth. In youth, PhA had stronger associations with muscle performance than those of ICW. Thus, phase angle appears to be a useful marker of muscle performance, particularly in youth.
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Affiliation(s)
- Megan Hetherington-Rauth
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz-Quebrada, Portugal
| | - Fátima Baptista
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz-Quebrada, Portugal
| | - Luís B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz-Quebrada, Portugal.
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Total body water and water compartments assessment in athletes: Validity of multi-frequency bioelectrical impedance. Sci Sports 2019. [DOI: 10.1016/j.scispo.2018.11.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Laja García AI, Moráis-Moreno C, Samaniego-Vaesken MDL, Puga AM, Varela-Moreiras G, Partearroyo T. Association between Hydration Status and Body Composition in Healthy Adolescents from Spain. Nutrients 2019; 11:E2692. [PMID: 31703309 PMCID: PMC6893474 DOI: 10.3390/nu11112692] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 10/31/2019] [Accepted: 11/05/2019] [Indexed: 01/07/2023] Open
Abstract
At present, obesity and overweight are major public health concerns. Their classical determinants do not sufficiently explain the current situation and it is urgent to investigate other possible causes. In recent years, it has been suggested that water intake could have important implications for weight management. Thus, the aim of this study was to examine the effect of hydration status on body weight and composition in healthy adolescents from Spain. The study involved 372 subjects, aged 12-18 years. Water intake was assessed through the validated "hydration status questionnaire adolescent young". Anthropometric measurements were performed according to the recommendations of the International Standards for Anthropometric Assessment (ISAK) and body composition was estimated by bioelectrical impedance analysis. Water intake normalized by body weight was positively correlated with body water content (boys (B): r = 0.316, p = 0.000; girls (G): r = 0.245, p = 0.000) and inversely with body mass index (BMI) (B: r = -0.515, p = 0.000; G: r = -0.385, p =0.000) and fat body mass (B: r = -0.306, p = 0.000; G: r = -0.250, p = 0.001). Moreover, according to BMI, overweight/obese individuals consumed less water than normal weight ones. In conclusion, higher water balance and intake seems to be related with a healthier body composition. In conclusion, higher water balance and intake is associated with a healthier body composition.
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Langer RD, Matias CN, Borges JH, Cirolini VX, Páscoa MA, Guerra-Júnior G, Gonçalves EM. Accuracy of Bioelectrical Impedance Analysis in Estimated Longitudinal Fat-Free Mass Changes in Male Army Cadets. Mil Med 2019; 183:e324-e331. [PMID: 29590470 DOI: 10.1093/milmed/usx223] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 12/19/2017] [Indexed: 01/10/2023] Open
Abstract
Introduction Bioelectrical impedance analysis (BIA) is a practical and rapid method for making a longitudinal analysis of changes in body composition. However, most BIA validation studies have been performed in a clinical population and only at one moment, or point in time (cross-sectional study). The aim of this study is to investigate the accuracy of predictive equations based on BIA with regard to the changes in fat-free mass (FFM) in Brazilian male army cadets after 7 mo of military training. The values used were determined using dual-energy X-ray absorptiometry (DXA) as a reference method. Materials and Methods The study included 310 male Brazilian Army cadets (aged 17-24 yr). FFM was measured using eight general predictive BIA equations, with one equation specifically applied to this population sample, and the values were compared with results obtained using DXA. The student's t-test, adjusted coefficient of determination (R2), standard error of estimation (SEE), Lin's approach, and the Bland-Altman test were used to determine the accuracy of the predictive BIA equations used to estimate FFM in this population and between the two moments (pre- and post-moment). Results The FFM measured using the nine predictive BIA equations, and determined using DXA at the post-moment, showed a significant increase when compared with the pre-moment (p < 0.05). All nine predictive BIA equations were able to detect FFM changes in the army cadets between the two moments in a very similar way to the reference method (DXA). However, only the one BIA equation specific to this population showed no significant differences in the FFM estimation between DXA at pre- and post-moment of military routine. All predictive BIA equations showed large limits of agreement using the Bland-Altman approach. Conclusion The eight general predictive BIA equations used in this study were not found to be valid for analyzing the FFM changes in the Brazilian male army cadets, after a period of approximately 7 mo of military training. Although the BIA equation specific to this population is dependent on the amount of FFM, it appears to be a good alternative to DXA for assessing FFM in Brazilian male army cadets.
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Affiliation(s)
- Raquel D Langer
- Laboratory of Growth and Development - Center for Investigation in Pediatrics (CIPED), University of Campinas, Campinas, Brazil
| | - Catarina N Matias
- Laboratory of Physiology and Biochemistry of Exercise, University of Lisbon, Cruz Quebrada, Portugal
| | - Juliano H Borges
- Laboratory of Growth and Development - Center for Investigation in Pediatrics (CIPED), University of Campinas, Campinas, Brazil
| | - Vagner X Cirolini
- Laboratory of Growth and Development - Center for Investigation in Pediatrics (CIPED), University of Campinas, Campinas, Brazil
| | - Mauro A Páscoa
- Laboratory of Growth and Development - Center for Investigation in Pediatrics (CIPED), University of Campinas, Campinas, Brazil
| | - Gil Guerra-Júnior
- Laboratory of Growth and Development - Center for Investigation in Pediatrics (CIPED), University of Campinas, Campinas, Brazil
| | - Ezequiel M Gonçalves
- Laboratory of Growth and Development - Center for Investigation in Pediatrics (CIPED), University of Campinas, Campinas, Brazil
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Charmas M, Gromisz W. Effect of 12-Week Swimming Training on Body Composition in Young Women. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16030346. [PMID: 30691153 PMCID: PMC6388213 DOI: 10.3390/ijerph16030346] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 01/16/2019] [Accepted: 01/22/2019] [Indexed: 12/11/2022]
Abstract
Background: Systematic physical activity can permanently prevent disadvantageous developments in the human body. This is very important especially for women, for whom the maintenance of a lean body in good shape is sometimes a primary consideration. However, in most cases, this activity is taken randomly and does not produce the desired effects such as reducing body fat. The purpose of the study was to evaluate changes in female body composition induced by 12 weeks of swimming training compared to sedentary controls. Methods: Training sessions occurred three times per week (60 min/session). Height, body mass, and waist/hip circumference and waist/hips ratio (WHR) were measured. Body cell mass (BCM), total body water (TBW), extracellular (ECW) and intracellular water (ICW), fat mass (FM), lean mass (FFM), and muscle mass (MM) were measured using bioelectrical impedance (pre/post). Results: Training elicited decreases in hip circumference and increase in WHR. No changes were recorded in BCM, TBW, ECW, ICW, FM, FFM, and MM. Controls experienced decreases in values of BCM, ICW, and MM and increases in ECW. Conclusion: The applied swimming training did not significantly affect the body composition parameters. Inactivity also triggered a tendency toward unhealthy movement of water from the intracellular to extracellular space.
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Affiliation(s)
- Malgorzata Charmas
- Faculty of Physical Education and Sport in Biała Podlaska, Josef Pilsudski University of Physical Education in Warsaw, 2 Akademicka Str., 21-500 Biała Podlaska, Poland.
| | - Wilhelm Gromisz
- Faculty of Physical Education and Sport in Biała Podlaska, Josef Pilsudski University of Physical Education in Warsaw, 2 Akademicka Str., 21-500 Biała Podlaska, Poland.
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Martins PC, Hansen F, Silva AM, Silva DAS. Fluid distribution and cell integrity indicators evaluated by bioelectrical impedance in university athletes: comparison between team sports and individual sports. Physiol Meas 2019; 40:015004. [PMID: 30557857 DOI: 10.1088/1361-6579/aaf8cd] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To compare indicators of fluid distribution and cellular integrity in university athletes through a cross-sectional study of 167 university athletes (18-35 years) who competed in team sports and individual sports. APPROACH Bioimpedance was used to estimate total body water (TBW), intracellular water (ICW), extracellular water (ECW), ECW/ICW ratio, impedance (Z), reactance (Xc), resistance (R), phase angle, body cell mass (BCM) and ECW/BCM ratio at a frequency of 50 kHz. X-ray absorptiometry was used to determine lean soft tissue mass and body fat. As covariables, sex, age, time of practice and type of modality were obtained by questionnaire. MAIN RESULTS Individual male athletes presented higher values of ECW/ICW ratio (means difference MD = 0.006, p = 0.020) and ECW/BCM ratio (MD = 0.006, p = 0.017) than team sports male athletes. Values of Z (MD = 24.988, p = 0.009), Xc (MD = 3.327, p = 0.008) and R (MD = 24.755, p = 0.09) were higher in male athletes practicing team sports than individual sports. Female team sports athletes presented higher values of Z (MD = 32.029, p = 0.015) and R (MD = 31.987, p = 0.015) than individual female athletes. It was concluded that ECW/ICW and ECW/BCM ratios were higher in male athletes who practiced individual sports. For the Z, R, and Xc values, the athletes in team sports presented higher values. The female athletes who practiced team sports presented higher values of Z and R than did individual female athletes. SIGNIFICANCE ECW/ICW and ECW/BCM ratios were higher in male athletes who practiced individual sports. For the Z, R, and Xc values, the athletes in team sports presented higher values. The female athletes who practiced team sports presented higher values of Z and R than did individual female athletes.
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Affiliation(s)
- Priscila Custódio Martins
- Federal University of Santa Catarina, Research Center in Kinanthropometry and Human Performance, Florianópolis, Brazil. Federal University of Santa Catarina, Research Center in Kinanthropometry and Human Performance, Sports Centre, University Campus, Trindade, 88040-900 Florianópolis, Santa Catarina, Brazil. Author to whom any correspondence should be addressed
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TINSLEY GRANTM, GRAYBEAL AUSTINJ, MOORE MLANE, NICKERSON BRETTS. Fat-free Mass Characteristics of Muscular Physique Athletes. Med Sci Sports Exerc 2019; 51:193-201. [DOI: 10.1249/mss.0000000000001749] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Maskell PD, Jones AW, Savage A, Scott-Ham M. Evidence based survey of the distribution volume of ethanol: Comparison of empirically determined values with anthropometric measures. Forensic Sci Int 2018; 294:124-131. [PMID: 30553124 DOI: 10.1016/j.forsciint.2018.10.033] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 10/26/2018] [Accepted: 10/30/2018] [Indexed: 10/27/2022]
Abstract
The Widmark equation is commonly used when blood alcohol calculations are required in forensic and legal medicine, such as in road-traffic cases and alcohol-related deaths. An important biological variable in this connection is the volume of distribution (Vd) of ethanol, which is commonly referred to as the rho-factor. Although a person's Vd can be determined empirically through controlled drinking experiments, this approach is not very practical in reality. For this reason, a number of anthropometric equations have been developed that utilize sex, age, height and weight to estimate the person's total body water (TBW) and hence Vd of ethanol. To date, there are not any studies that compare Vd derived from anthropometric data with robust values measured empirically. From the literature we compiled information about the Vd of ethanol from drinking studies with 173 Caucasian males and 63 Caucasian females from Western Europe. These empirically derived values of Vd were then compared with estimates derived from various anthropometric equations. In males the Watson, Watson and Batt regression equation involving age, height and weight gave the most accurate results (bias was 0.00L/kg) and 95% range ±0.13L/kg. The equation derived by Forrest, which took into consideration a person's body mass index (BMI), gave the best estimates of Vd for females; mean bias -0.01L/kg and range ±0.15L/kg.
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Affiliation(s)
- Peter D Maskell
- School of Science, Engineering and Technology, Abertay University, Dundee, Scotland, UK.
| | | | - Anne Savage
- School of Science, Engineering and Technology, Abertay University, Dundee, Scotland, UK
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Tamayo-Orozco J, Tlatoa-Ramírez H, Velázquez-Verduzco A, Montes-Felisart V. Body Composition Analysis Applied to Different Sports Practices: Focus in Perspectives for Research and Clinical Outcomes in Regular, Elite, and Professional High-Performance Athletes. J Clin Densitom 2018; 21:444-445. [PMID: 27422239 DOI: 10.1016/j.jocd.2016.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Accepted: 06/17/2016] [Indexed: 11/25/2022]
Affiliation(s)
| | - Héctor Tlatoa-Ramírez
- Clinical Research Center of Physical Activity and Sport, Mexico City, Mexico; Autonomous University of Mexico State, Mexico City, Mexico
| | - Arturo Velázquez-Verduzco
- Clinical Research Center of Physical Activity and Sport, Mexico City, Mexico; Autonomous University of Mexico State, Mexico City, Mexico
| | - Victor Montes-Felisart
- Clinical Research Center of Physical Activity and Sport, Mexico City, Mexico; Autonomous University of Mexico State, Mexico City, Mexico
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Koury JC, de Oliveira-Junior AV, Portugal MRC, de Oliveira KDJF, Donangelo CM. Bioimpedance parameters in adolescent athletes in relation to bone maturity and biochemical zinc indices. J Trace Elem Med Biol 2018; 46:26-31. [PMID: 29413107 DOI: 10.1016/j.jtemb.2017.11.003] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2017] [Revised: 10/12/2017] [Accepted: 11/05/2017] [Indexed: 11/26/2022]
Abstract
Phase angle (PA) is derived from resistance and reactance determined by bioimpedance analysis (BIA) and it appears to relate to cellular stability and integrity. Interpretation of PA values could be complemented by bioelectrical impedance vector analysis (BIVA), which relates to body hydration and structure. Body composition, age, sex, and nutrients are known to stabilize cell membranes, such as zinc, have been related to PA although information is scarce in adolescent athletes. The aim of the present study was to assess the association of body composition, skeletal maturity and zinc biochemical indices with phase angle and bioelectrical impedance parameters, in forty male adolescent soccer athletes (13.4±0.6years). BIA was performed with a single-frequency tetrapolar analyzer. PA and BIVA were determined using resistance and reactance BIA data. Plasma and erythrocyte zinc concentrations were measured using inductively coupled plasma-optical emission spectrometry. Body composition was determined by dual-energy X-ray absorptiometry, and bone age by hand X-ray measurements. PA was higher in adolescents classified by bone age as "Early" (6.8±0.9°) compared to "Late" (5.7±0.5°) (p<0.05). PA correlated with bone age (r=0.562), BMI (r=0.382), fat-free mass (r=0.468), and erythrocyte zinc (r=0.379) (p<0.05). BIVA confidence ellipses were sensitive to skeletal maturity status. Phase angle was higher in adolescents with erythrocyte zinc concentration above the median (>0.66μmol.g hemoglobin-1) compared to those below the median. Multiple linear regression analysis showed that bone age (B=0.254, p=0.001) and erythrocyte zinc concentration (B=1.168, p=0.047) were significantly related to PA in this group, and accounted for 34% of its variability. Our results indicate that bone age and zinc erythrocyte contribute to PA values in the young male soccer athletes and that BIVA is influenced by skeletal maturity status in this group.
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