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Santos S, Melo F, Fernandes O, Parraca JA. The effect of Ashtanga-Vinyasa Yoga method on air force pilots' operational performance. Front Public Health 2024; 12:1334880. [PMID: 38751579 PMCID: PMC11094342 DOI: 10.3389/fpubh.2024.1334880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 04/15/2024] [Indexed: 05/18/2024] Open
Abstract
Introduction In today's military landscape, optimizing performance and bolstering physical health and mental resilience are critical objectives. Introducing a 12-week Ashtanga Vinyasa Yoga Supta Method (AVYSM) to the training protocol of military trained Airforce pilots, we aim to assesses the feasibility and impact of the method. Materials and equipment Borg Scale assesses the intensity level of physical activity during the intervention. Flight simulator data gauges operational performance responses. Postural control responses are measured using a force platform, stress responses are monitored via heart monitor, and handgrip dynamometry will measure strength. Respiratory capacity is assessed using a spirometer, body composition is evaluated using impedance balance, and aviation-related questionnaires are administered before and after the intervention period. Methods In a randomized controlled trial, the totality of pilots from the "Masters in Military Aeronautics: aviator pilot specialist" course at the Portuguese Air Force Academy (PAA) were randomly assigned to the yoga intervention or the waiting list control groups, with participants providing written informed consent. The control group followed protocolized course classes for 12 weeks, while the intervention group integrated two weekly one-hour yoga sessions into their course. Results The PAA has approved the implementation of this intervention protocol at Airbase 11 in Beja, highlighting its significance for the organization's policy makers. We hypothesize that this method will enhance operational performance and, subsequently, elevate flight safety. Discussion This research's potential extends beyond the PAA, as it can be adapted for use in Airforce departments of other nations and various military contexts. Clinical trial registration Évora University research ethics committee-approval number 21050. Study registered on ClinicalTrials.gov under identifier NCT05821270, registered on April 19, 2023.
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Affiliation(s)
- Sara Santos
- Departamento de Desporto e Saúde, Escola de Saúde e Desenvolvimento Humano, Universidade de Évora, Évora, Portugal
- Comprehensive Health Research Centre (CHRC), Universidade de Évora, Évora, Portugal
| | - Filipe Melo
- Comprehensive Health Research Centre (CHRC), Universidade de Évora, Évora, Portugal
- Universidade de Lisboa Faculdade de Motricidade Humana: Cruz Quebrada, Lisboa, Portugal
| | - Orlando Fernandes
- Departamento de Desporto e Saúde, Escola de Saúde e Desenvolvimento Humano, Universidade de Évora, Évora, Portugal
- Comprehensive Health Research Centre (CHRC), Universidade de Évora, Évora, Portugal
| | - José Alberto Parraca
- Departamento de Desporto e Saúde, Escola de Saúde e Desenvolvimento Humano, Universidade de Évora, Évora, Portugal
- Comprehensive Health Research Centre (CHRC), Universidade de Évora, Évora, Portugal
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2
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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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Maji D, Miguela V, Cameron AD, Campbell DA, Sasset L, Yao X, Thompson AT, Sussman C, Yang D, Miller R, Drozdz MM, Liberatore RA. Enhancing In Vivo Electroporation Efficiency through Hyaluronidase: Insights into Plasmid Distribution and Optimization Strategies. Pharmaceutics 2024; 16:547. [PMID: 38675208 PMCID: PMC11053992 DOI: 10.3390/pharmaceutics16040547] [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: 03/01/2024] [Revised: 04/04/2024] [Accepted: 04/08/2024] [Indexed: 04/28/2024] Open
Abstract
Electroporation (EP) stands out as a promising non-viral plasmid delivery strategy, although achieving optimal transfection efficiency in vivo remains a challenge. A noteworthy advancement in the field of in vivo EP is the application of hyaluronidase, an enzyme with the capacity to degrade hyaluronic acid in the extracellular matrix, which thereby enhances DNA transfer efficiency by 2- to 3-fold. This paper focuses on elucidating the mechanism of hyaluronidase's impact on transfection efficiency. We demonstrate that hyaluronidase promotes a more uniform distribution of plasmid DNA (pDNA) within skeletal muscle. Additionally, our study investigates the effect of the timing of hyaluronidase pretreatment on EP efficiency by including time intervals of 0, 5, and 30 min between hyaluronidase treatment and the application of pulses. Serum levels of the pDNA-encoded transgene reveal a minimal influence of the hyaluronidase pretreatment time on the final serum protein levels following delivery in both mice and rabbit models. Leveraging bioimpedance measurements, we capture morphological changes in muscle induced by hyaluronidase treatment, which result in a varied pDNA distribution. Subsequently, these findings are employed to optimize EP electrical parameters following hyaluronidase treatment in animal models. This paper offers novel insights into the potential of hyaluronidase in enhancing the effectiveness of in vivo EP, as well as guides optimized electroporation strategies following hyaluronidase use.
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Affiliation(s)
- Debnath Maji
- RenBio Inc., Long Island City, New York, NY 11101, USA
| | - Verónica Miguela
- RenBio Inc., Long Island City, New York, NY 11101, USA
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas—Universidad Miguel Hernández de Elche, Sant Joan d’Alacant, 03550 Alicante, Spain
| | | | | | - Linda Sasset
- RenBio Inc., Long Island City, New York, NY 11101, USA
| | - Xin Yao
- RenBio Inc., Long Island City, New York, NY 11101, USA
| | | | | | - David Yang
- RenBio Inc., Long Island City, New York, NY 11101, USA
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Robert Miller
- RenBio Inc., Long Island City, New York, NY 11101, USA
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Nescolarde L, Yanguas J, Hernández-Hermoso JA. Localized hamstring bioimpedance in marathon runners is related to muscle high-energy enzyme serum levels and predicts race time. Front Physiol 2024; 15:1337119. [PMID: 38505706 PMCID: PMC10948513 DOI: 10.3389/fphys.2024.1337119] [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: 11/12/2023] [Accepted: 02/12/2024] [Indexed: 03/21/2024] Open
Abstract
Introduction: The aim was to analyze the response of serum levels of inflammatory, high-energy muscle biomarkers and hamstring localized bioimpedance (L-BIA) measurements to marathon running and to ascertain whether they correlate with each other or with race time. Methods: Blood samples and hamstrings tetra-polar L-BIA measurements from 14 Caucasian male recreational athletes at the Barcelona Marathon 2019 were collected at base line, immediately after and 48 h post-race. Serum C reactive protein (sCRP), creatinine kinase (sCK) and lactate dehydrogenase (sLDH) were determined using an AU-5800 chemistry analyzer. L-BIA was obtained at 50 kHz with a Quantum V Segmental phase-sensitive bioimpedance analyzer. Results: Median sCRP increased (4-fold) after 48 h post-race. Median sCK and sLDH levels increased immediately post-race (3-fold, 2-fold) and 48h post-race (5-fold, 1-fold). Left, right and combined hamstring reactance (Xc) and phase angle (PhA) increased immediately post-race. Xc combined hamstring pre- and immediately post-race correlated with race-time and with sCK and sLDH median levels pre-race. Xc combined hamstring pre- and immediately post-race > 15.6 Ω and 15.8 Ω, respectively, predicted the race time of 3:00:00 h. Conclusion: L-BIA reactance (Xc) is an objective direct, real time, easy, noninvasive bioelectrical parameter that may predict muscle and marathon athlete performance.
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Affiliation(s)
- Lexa Nescolarde
- Department of Electronic Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain
| | - Javier Yanguas
- FIFA Medical Center of Excellence, Ciutat Esportiva Futbol Club Barcelona, Medical Department, Futbol Club Barcelona, Barcelona, Spain
| | - José A. Hernández-Hermoso
- Department of Orthopedic Surgery and Traumatology, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
- Department of Surgery, Faculty of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
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Giovanelli L, Biganzoli G, Spataro A, Malacarne M, Bernardelli G, Spada R, Pagani M, Biganzoli E, Lucini D. Body composition assessment in a large cohort of Olympic athletes with different training loads: possible reference values for fat mass and fat-free mass domains. Acta Diabetol 2024; 61:361-372. [PMID: 37945991 PMCID: PMC10948543 DOI: 10.1007/s00592-023-02203-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 10/12/2023] [Indexed: 11/12/2023]
Abstract
AIMS To assess body composition by means of BOD POD in the large cohort of Italian Olympic athletes of many sport disciplines (studied at the same time), and to provide possible reference values for body composition in elite athletes. METHODS 1556 elite athletes, who took part in the selection procedure for the 2016 Rio Olympic Games for the National Italian Olympic Committee (CONI), were retrospectively studied. Body composition was determined using air plethysmography-based BOD POD. RESULTS We observed that Fat Mass (FM) and Fat-free Mass (FFM) should be considered as two mutually independent domains in elite athletes. By performing Principal Component Analysis, we defined two independent main domains (respectively, representing FM and FFM), which presented different trends according to gender and static or dynamic exercise load. Lastly, we reported possible reference values for FM index and FFM index, respectively, representing the largest contributors to FM domain and FFM domain, and calculated as FM or FFM (kg)/height (m2). CONCLUSIONS Our findings might provide a basis to optimize the practical approach to body composition in athletes, highlighting the importance of considering indicators of fat mass and lean mass "simultaneously" and not specularly, according to different sport disciplines as well. Moreover, these data might contribute to standardize reference values for body composition in elite athletes, with a view to potentially helping to monitor and guide training regimens, prevent related detrimental practices and plan cardiometabolic prevention and rehabilitation programs.
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Affiliation(s)
| | - Giacomo Biganzoli
- Medical Statistics Unit, Department of Biomedical and Clinical Sciences L. Sacco, "Luigi Sacco" University Hospital, University of Milan, Milan, Italy
| | | | | | - Giuseppina Bernardelli
- DISCCO Department, University of Milan, Milan, Italy
- Exercise Medicine Unit, Istituto Auxologico Italiano, IRCCS, Milan, Italy
| | | | - Massimo Pagani
- Exercise Medicine Unit, Istituto Auxologico Italiano, IRCCS, Milan, Italy
| | - Elia Biganzoli
- Medical Statistics Unit, Department of Biomedical and Clinical Sciences L. Sacco, "Luigi Sacco" University Hospital, University of Milan, Milan, Italy
| | - Daniela Lucini
- BIOMETRA Department, University of Milan, Milan, Italy.
- Exercise Medicine Unit, Istituto Auxologico Italiano, IRCCS, Milan, Italy.
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Cattem MVDO, Orsso CE, Gonzalez MC, Koury JC. One-Year Changes in Bioelectrical Impedance Data in Adolescent Athletes. Nutrients 2024; 16:701. [PMID: 38474828 DOI: 10.3390/nu16050701] [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: 01/28/2024] [Revised: 02/25/2024] [Accepted: 02/27/2024] [Indexed: 03/14/2024] Open
Abstract
Raw bioelectrical impedance (BI) data and vector analysis (BIVA) have been used to evaluate fat-free mass (FFM) cross-sectionally in adolescent athletes; however, there have been no longitudinal studies about it. This study aimed to assess the magnitude of changes in raw BI data (resistance [R], reactance [Xc], and phase angle [PhA]), BIVA, and FFM in adolescent athletes (n = 137, 40% female). BI data were collected using a single-frequency device at baseline and after one year of sports practice. Baseline chronological age categorized the participants (11, 12, or 13 years [y]). In females, Xc/H increased (13 to 14 y, p = 0.04) while R/H decreased in all age groups (p = 0.001). PhA (11 to 12 y, p = 0.048) and FFM (11 to 12 y and 12 to 13 y groups p = 0.001) increased and showed the lowest magnitude of changes in the 13 to 14 y group (p = 0.05). In males, Xc/H decreased (11 to 12 and 12 to 13 y groups, p = 0.001) with a higher magnitude of changes in the 13 to 14 y group (p = 0.004); R/H decreased (p = 0.001); FFM increased in all groups (p = 0.001); however, no magnitude of changes was observed. PhA increased in the 13 to 14 y group (p = 0.004). BIVA showed no differences among ellipse distances in females. In males, a high distance was observed in the 11 to 12 y group. "Time interval" influenced PhA and Xc/H in the female group and R/H and Xc/H in the male group. "Initial age" and "time interval" influenced the increase in PhA in the male group. Raw BI data and BIVA patterns can detect the magnitude of the changes in a sex-dependent manner.
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Affiliation(s)
| | - Camila E Orsso
- Human Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada
| | - Maria Cristina Gonzalez
- Post-Graduate Program in Nutrition and Foods, Federal University of Pelotas, Pelotas 96010-610, Brazil
| | - Josely Correa Koury
- Nutrition Institute, Rio de Janeiro State University, Rio de Janeiro 20550-013, Brazil
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Santiago LN, Martins PC, Silva DAS. Utilization of bioelectrical impedance vector analysis (BIVA) in children and adolescents without diagnosed diseases: a systematic review. Physiol Meas 2024; 45:02TR02. [PMID: 38306664 DOI: 10.1088/1361-6579/ad252e] [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: 08/19/2023] [Accepted: 02/02/2024] [Indexed: 02/04/2024]
Abstract
Introduction. Bioelectrical impedance vector analysis (BIVA) emerges as a technique that utilizes raw parameters of bioelectrical impedance analysis and assumes the use of a reference population for information analysis.Objective. To summarize the reference values, main studies objectives, approaches, pre-test recommendations and technical characteristics of the devices employed in studies utilizing BIVA among children and adolescents without diagnosed diseases.Methods. A systematic search was conducted in nine electronic databases (CINAHL, LILACS, PubMed, SciELO, Scopus, SPORTDiscus, Science Direct, MEDLINE, and Web of Science). Studies with different designs which allowed extracting information regarding reference values of BIVA in children and adolescents without diagnosed diseases, aged 19 years or younger, were included. The systematic review followed PRISMA procedures and was registered in PROSPERO (registration: CRD42023391069).Results. After applying the eligibility criteria, 36 studies were included. Twenty studies (55.6%) analyzed body composition using BIVA, thirteen studies (36.1%) aimed to establish reference values for BIVA, and three studies (8.3%) investigated the association of physical performance with BIVA. There was heterogeneity regarding the reference populations employed by the studies. Fifteen studies used their own sample as a reference (41.6%), four studies used the adult population as a reference (11.1%), and five studies used reference values from athletes (13.9%).Conclusion. Nutricional status and body composition were the main studies objectives. References values were not always adequate or specific for the sample and population. Furthermore, there was no pattern of pre-test recommendations among the studies.
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Affiliation(s)
- Leandro Narciso Santiago
- Research Center in Kinanthropometry and Human Performance, Physical Education Department, Sports Center, Federal University of Santa Catarina, Florianopolis, SC, Brazil
| | - Priscila Custódio Martins
- Research Center in Kinanthropometry and Human Performance, Physical Education Department, Sports Center, Federal University of Santa Catarina, Florianopolis, SC, Brazil
| | - Diego Augusto Santos Silva
- Research Center in Kinanthropometry and Human Performance, Physical Education Department, Sports Center, Federal University of Santa Catarina, Florianopolis, SC, Brazil
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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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Campa F. Hydration and Body Composition in Sports Practice: An Editorial. Nutrients 2023; 15:4814. [PMID: 38004207 PMCID: PMC10675179 DOI: 10.3390/nu15224814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023] Open
Abstract
Assessing hydration status and monitoring body composition represent crucial aspects when discussing the advantages of embracing a healthy lifestyle, given its significant impact on both health and sports performance [...].
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Affiliation(s)
- Francesco Campa
- Department of Biomedical Sciences, University of Padua, 35131 Padova, Italy
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11
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Cebrián-Ponce Á, Petri C, Izzicupo P, Micheli ML, Cortis C, Fusco A, Carrasco-Marginet M, Mascherini G. In-Season Longitudinal Hydration/Body Cell Mass Ratio Changes in Elite Rugby Players. Sports (Basel) 2023; 11:142. [PMID: 37624122 PMCID: PMC10459027 DOI: 10.3390/sports11080142] [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: 07/06/2023] [Revised: 07/19/2023] [Accepted: 07/27/2023] [Indexed: 08/26/2023] Open
Abstract
BACKGROUND Hydration status has a direct role in sports performance. Bioelectrical Impedance Vector Analysis (BIVA) and Urine Specific Gravity (USG) are commonly used to assess hydration. The study aims to identify the sensitivity and relationship between BIVA and USG in a field sports setting. METHODS BIVA and USG measurements were conducted five times throughout one rugby season. 34 elite male rugby players (25.1 ± 4.4 years; 184.0 ± 7.8 cm; 99.9 ± 13.4 kg) were enrolled. Differences over time were tested using one-way repeated measures ANOVA, and Bonferroni's post-hoc test was applied in pairwise comparisons. Resistance-reactance graphs and Hotelling's T2 test were used to characterize the sample and to identify bioelectrical changes. A repeated measures correlation test was conducted for BIVA-USG associations. RESULTS Two clear trends were seen: (1) from July to September, there was a vector shortening and an increase of the phase angle (p < 0.001); and (2) from December to April, there was a vector lengthening and a decrease of the phase angle (p < 0.001). USG reported neither changes nor correlation with BIVA longitudinally (p > 0.05). Vector variations indicated a body fluid gain (especially in the intracellular compartment) and a body cell mass increase during the preseason, suggesting a physical condition and performance improvement. During the last months of the season, the kinetic was the opposite (fluid loss and decreased body cell mass). CONCLUSIONS Results suggested that BIVA is sensitive to physiological changes and a better option than USG for assessing hydration changes during a rugby sports season.
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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; (Á.C.-P.); (M.C.-M.)
| | - Cristian Petri
- Department of Sports and Computer Science, Section of Physical Education and Sports, Universidad Pablo de Olavide, 41013 Seville, Spain;
| | - Pascal Izzicupo
- Department of Medicine and Aging Sciences, University “G. D’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy;
| | - Matteo Levi Micheli
- Exercise Science Laboratory Applied to Medicine “Mario Marella”, Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy;
| | - Cristina Cortis
- Department of Human Sciences, Society and Health, University of Cassino and Lazio Meridionale, 03043 Cassino, Italy; (C.C.); (A.F.)
| | - Andrea Fusco
- Department of Human Sciences, Society and Health, University of Cassino and Lazio Meridionale, 03043 Cassino, Italy; (C.C.); (A.F.)
| | - Marta Carrasco-Marginet
- INEFC-Barcelona Sports Sciences Research Group, Institut Nacional d’Educació Física de Catalunya (INEFC), University of Barcelona (UB), 08038 Barcelona, Spain; (Á.C.-P.); (M.C.-M.)
| | - 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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12
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Catapano A, Trinchese G, Cimmino F, Petrella L, D'Angelo M, Di Maio G, Crispino M, Cavaliere G, Monda M, Mollica MP. Impedance Analysis to Evaluate Nutritional Status in Physiological and Pathological Conditions. Nutrients 2023; 15:nu15102264. [PMID: 37242147 DOI: 10.3390/nu15102264] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 05/03/2023] [Accepted: 05/08/2023] [Indexed: 05/28/2023] Open
Abstract
A thorough knowledge of body composition assessment techniques is the cornerstone for initiating a customized nutritional program. The second step is to consider the potential of their application in different physiological and pathological conditions and their effectiveness in the management of a monitoring pathway during dietary interventions. To date, bioimpedance analysis is the most effective and reliable method for assessing body composition due to its advantages in terms of speed of execution, non-invasiveness and low cost. Therefore, this review article aims to analyze the main concepts and application areas of bioimpedance measurement techniques, in particular vector frequency-based analysis (BIVA) systems, in order to assess their validity in both physiological and pathological conditions.
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Affiliation(s)
- Angela Catapano
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy
- Centro Servizi Metrologici e Tecnologici Avanzati (CeSMA), Complesso Universitario di Monte Sant'Angelo, 80126 Naples, Italy
| | - Giovanna Trinchese
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy
| | - Fabiano Cimmino
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy
- Centro Servizi Metrologici e Tecnologici Avanzati (CeSMA), Complesso Universitario di Monte Sant'Angelo, 80126 Naples, Italy
| | - Lidia Petrella
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy
| | - Margherita D'Angelo
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy
- Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy
| | - Girolamo Di Maio
- Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy
| | - Marianna Crispino
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy
| | - Gina Cavaliere
- Centro Servizi Metrologici e Tecnologici Avanzati (CeSMA), Complesso Universitario di Monte Sant'Angelo, 80126 Naples, Italy
- Department of Pharmaceutical Sciences, University of Perugia, 06123 Perugia, Italy
| | - Marcellino Monda
- Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy
| | - Maria Pina Mollica
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy
- Centro Servizi Metrologici e Tecnologici Avanzati (CeSMA), Complesso Universitario di Monte Sant'Angelo, 80126 Naples, Italy
- Task Force on Microbiome Studies, University of Naples Federico II, 80138 Naples, Italy
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13
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Thanapholsart J, Khan E, Lee GA. A Current Review of the Uses of Bioelectrical Impedance Analysis and Bioelectrical Impedance Vector Analysis in Acute and Chronic Heart Failure Patients: An Under-valued Resource? Biol Res Nurs 2023; 25:240-249. [PMID: 36342073 PMCID: PMC10021121 DOI: 10.1177/10998004221132838] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND There is a need to detect and prevent fluid overload and malnutrition in heart failure. Bioelectrical impedance analysis and bioelectrical impedance vector analysis are medical instruments that can advance heart failure management by generating values of body composition and body water, assisting clinicians to detect fluid and nutritional status. However, there is a lack of evidence to summarise how they have been used among heart failure patients. METHOD A systematic search was conducted. RESULT Two hundred and four papers were screened. Forty-eight papers were reviewed, and 46 papers were included in this review. The literature shows that bioelectrical impedance analysis and bioelectrical impedance vector analysis were mostly used to assess fluid and nutritional status, together with diagnostic and prognostic values. Contraindication of using BIA and implications for practice are also demonstrated. CONCLUSION The findings suggest that bioelectrical impedance vector analysis is superior to bioelectrical impedance analysis when assessing hydration/nutritional status in heart failure. Assessing a patient using bioelectrical impedance analysis /bioelectrical impedance vector analysis, together with natriuretic peptide -heart failure biomarkers, increases the diagnostic accuracy of heart failure. Further studies are required to examine the cost effectiveness of using these instruments in clinical practice.
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Affiliation(s)
- Jenjiratchaya Thanapholsart
- Division of Applied Technologies for Clinical Care, Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, 4616King's College London, London, UK
| | - Ehsan Khan
- Department of Adult Nursing, Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, 4616King's College London, London, UK
| | - Geraldine A Lee
- Division of Applied Technologies for Clinical Care, Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, 4616King's College London, London, UK
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14
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Petri C, Micheli ML, Izzicupo P, Timperanza N, Lastrucci T, Vanni D, Gulisano M, Mascherini G. Bioimpedance Patterns and Bioelectrical Impedance Vector Analysis (BIVA) of Body Builders. Nutrients 2023; 15:nu15071606. [PMID: 37049446 PMCID: PMC10096811 DOI: 10.3390/nu15071606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 03/24/2023] [Accepted: 03/24/2023] [Indexed: 03/29/2023] Open
Abstract
Bodybuilders are athletes characterized by high muscle mass. During competitions, the evaluation is performed based on aesthetic parameters. The study aims to provide normative references of body composition with the vector bioimpedance methodology (BIVA). A second aim is to compare BIVA assessments performed on both sides and the upper and lower body. A group of 68 elite bodybuilders (41 males aged 30.1 ± 9.2 years and 27 females aged 32.1 ± 8.0 years) was enrolled. A BIVA assessment was performed the day before the 2021 World Natural Bodybuilding Federation Italian Championships. As a result, male and female bodybuilders ranked to the left in the BIVA ellipse relative to the general population. Furthermore, unlike females, males also ranked lower than the general athletic population. In addition, in the symmetry assessment, males show a significantly greater upper body than the lower, right, and left parts, while in women, this is observed for the lower part of the body. The differences in the results obtained between males and females can be attributed to the different patterns of endocrine production between the sexes and the different criteria used by the juries to attribute the final score during the competitions. Therefore, BIVA references in bodybuilders could help adjust the training and nutritional program during the peak week before a competition.
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15
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Gong Z, Lo WLA, Wang R, Li L. Electrical impedance myography combined with quantitative assessment techniques in paretic muscle of stroke survivors: Insights and challenges. Front Aging Neurosci 2023; 15:1130230. [PMID: 37020859 PMCID: PMC10069712 DOI: 10.3389/fnagi.2023.1130230] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 02/27/2023] [Indexed: 03/18/2023] Open
Abstract
Aging is a non-modifiable risk factor for stroke and the global burden of stroke is continuing to increase due to the aging society. Muscle dysfunction, common sequela of stroke, has long been of research interests. Therefore, how to accurately assess muscle function is particularly important. Electrical impedance myography (EIM) has proven to be feasible to assess muscle impairment in patients with stroke in terms of micro structures, such as muscle membrane integrity, extracellular and intracellular fluids. However, EIM alone is not sufficient to assess muscle function comprehensively given the complex contributors to paretic muscle after an insult. This article discusses the potential to combine EIM and other common quantitative methods as ways to improve the assessment of muscle function in stroke survivors. Clinically, these combined assessments provide not only a distinct advantage for greater accuracy of muscle assessment through cross-validation, but also the physiological explanation on muscle dysfunction at the micro level. Different combinations of assessments are discussed with insights for different purposes. The assessments of morphological, mechanical and contractile properties combined with EIM are focused since changes in muscle structures, tone and strength directly reflect the muscle function of stroke survivors. With advances in computational technology, finite element model and machine learning model that incorporate multi-modal evaluation parameters to enable the establishment of predictive or diagnostic model will be the next step forward to assess muscle function for individual with stroke.
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Affiliation(s)
- Ze Gong
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, China
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
| | - Wai Leung Ambrose Lo
- Department of Rehabilitation Medicine, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Ruoli Wang
- KTH MoveAbility Lab, Department of Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Le Li
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, China
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
- *Correspondence: Le Li,
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16
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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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17
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Inami T, Yamaguchi S, Kim HK, Murayama M. Localized-bioelectrical impedance vector analysis on mechanical property changes after muscle injury and damage. J Sports Med Phys Fitness 2023; 63:509-510. [PMID: 36169396 DOI: 10.23736/s0022-4707.22.14416-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Takayuki Inami
- Institute of Physical Education, Keio University, Yokohama, Japan -
| | - Shota Yamaguchi
- Institute of Physical Education, Keio University, Yokohama, Japan
| | - Hyeon-Ki Kim
- Institute of Physical Education, Keio University, Yokohama, Japan
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18
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Dietary Intake, Body Composition and Performance of Professional Football Athletes in Slovenia. Nutrients 2022; 15:nu15010082. [PMID: 36615739 PMCID: PMC9824422 DOI: 10.3390/nu15010082] [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: 11/17/2022] [Revised: 12/20/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022] Open
Abstract
This is the first study to examine the nutritional status of professional Slovenian football players. This study aimed to analyze the dietary intake of elite football players during their preparation phase of the season and to investigate whether there is a relationship between energy and macronutrient intake with body composition and physical performance. Twenty-three footballers completed a three-day dietary and physical activity diary and underwent body composition measurements via bioelectrical impedance vector analysis (BIVA). Fifteen participants also took part in the Cooper treadmill test to assess their physical performance in correlation with their nutritional intake. Football players had an energy intake that was significantly too low for their needs, reflecting low energy availability. The average carbohydrate (CHO) intake was below the Union of European Football Associations (UEFA) recommendations, i.e., <4 g CHO/kg body weight (BW). Additionally, players had adequate intakes of protein and fat, and inadequate intakes of saturated fat, fiber, calcium and vitamin D. There was a positive correlation between protein intake and lean body mass. Additionally, a negative correlation was observed between body fat mass and carbohydrate intake as well as between performance with the percentage of energy intake from fat. Results of this study highlight what aspects of nutrition might be improved upon in professional football players to maximize performance, longevity and body composition of athletes, as well as the necessity of a nutritionist role in this process.
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19
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de Oliveira NM, Langer RD, Valente Lemos-Marini SH, de Oliveira DM, Geloneze B, Guerra-Júnior G, Gonçalves EM. Higher Body Fat but Similar Phase Angle Values in Patients with the Classical Form of Congenital Adrenal Hyperplasia in Comparison to a Control Group. Nutrients 2022; 14:nu14235184. [PMID: 36501213 PMCID: PMC9739276 DOI: 10.3390/nu14235184] [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: 10/22/2022] [Revised: 11/28/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022] Open
Abstract
This study aimed to compare phase angle (PhA) and bioelectrical impedance vector analysis (BIVA) values between adult patients with congenital adrenal hyperplasia caused by 21-hydroxylase deficiency (CAH21OHD) and a control group. A total of 22 patients (15 women, 22.9 ± 3.7 years) were compared with 17 controls (11 women, 27.0 ± 2.5 years). Body composition was determined by dual-energy X-ray absorptiometry. Bioelectrical impedance was used to calculate PhA, and BIVA was performed using specific software. Student’s t-test and analysis of covariance were used to compare groups. Hedges’ G and partial n2 were calculated for the effect estimates. Hotelling’s t2 test was used to compare the mean impedance vectors between the groups. The Mahalanobis test was used to determine the distance between confidence ellipses. Patients with CAH21OHD had a higher fat mass percentage than that of the control group (both sexes). There was no significant difference in PhA values between groups (CAH21OHD vs. control) in females (6.9° vs. 6.3°, p = 0.092) and males (8.2° vs. 8.1°, p = 0.849), after adjusting for covariates (age and height). BIVA analysis showed a significant difference in the mean impedance vectors between the female groups (T2 = 15.9, D = 1.58, p = 0.003) owing to the higher reactance/height (Δ = 8.5; p < 0.001) of the patients. The PhA did not significantly differ between the groups. Female patients had significantly higher reactance values. However, further studies are needed to determine the usefulness of bioimpedance parameters in evaluating the hydration status and cellular integrity of patients with CAH21OHD.
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Affiliation(s)
- Núbia Maria de Oliveira
- Laboratory of Growth and Development (LabCreD), Center for Investigation in Pediatrics (CIPED), School of Medical Sciences (FCM), State University of Campinas (UNICAMP), Campinas, Sao Paulo 13083-887, Brazil
- Correspondence:
| | - Raquel David Langer
- Laboratory of Growth and Development (LabCreD), Center for Investigation in Pediatrics (CIPED), School of Medical Sciences (FCM), State University of Campinas (UNICAMP), Campinas, Sao Paulo 13083-887, Brazil
| | - Sofia Helena Valente Lemos-Marini
- Laboratory of Growth and Development (LabCreD), Center for Investigation in Pediatrics (CIPED), School of Medical Sciences (FCM), State University of Campinas (UNICAMP), Campinas, Sao Paulo 13083-887, Brazil
| | - Daniel Minutti de Oliveira
- Laboratory of Investigation of Metabolism and Diabetes (LIMED), School of Medical Sciences (FCM), State University of Campinas (UNICAMP), Campinas, Sao Paulo 13083-878, Brazil
| | - Bruno Geloneze
- Laboratory of Investigation of Metabolism and Diabetes (LIMED), School of Medical Sciences (FCM), State University of Campinas (UNICAMP), Campinas, Sao Paulo 13083-878, Brazil
| | - Gil Guerra-Júnior
- Laboratory of Growth and Development (LabCreD), Center for Investigation in Pediatrics (CIPED), School of Medical Sciences (FCM), State University of Campinas (UNICAMP), Campinas, Sao Paulo 13083-887, Brazil
| | - Ezequiel Moreira Gonçalves
- Laboratory of Growth and Development (LabCreD), Center for Investigation in Pediatrics (CIPED), School of Medical Sciences (FCM), State University of Campinas (UNICAMP), Campinas, Sao Paulo 13083-887, Brazil
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Effects of Ion Cyclotron Frequencies on Human Resistance and Reactance in 31 Healthy Subjects. RADIATION 2022. [DOI: 10.3390/radiation2040027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
In order to test the theory of Brizhik et al. about the dynamic allocation of acupuncture meridians on human body and their role as hydric paths for solitons, we tested the effect of both acupuncture and exposure to extremely low frequencies (ELF) tuned with suitable ion cyclotron frequencies. The similarity of the effects, inducing variations of body impedance measured in well-known acupuncture points, up to the interchangeability and the synergy of the two treatments, the mechanic and the electromagnetic ones, turns to be evidence of the validity of the theory. Resistance and reactance variations have been detected in a group of 31 healthy volunteers before and after stimulation with a standard sequence of cyclotron frequencies, emitted from an innovative electromagnetic therapy (EMT) device. These variations were then compared with the variations produced by the well-known percutaneous stimuli of mechanical and piezoelectric nature, and, in particular in this work, acupuncture. Our results show that the observed variations can be considered as significant in both groups: cyclotron and acupuncture. The greater variations brought about by the cyclotron treatment stand out clearly.
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A New Strategy for Somatotype Assessment Using Bioimpedance Analysis: Stratification According to Sex. J Funct Morphol Kinesiol 2022; 7:jfmk7040086. [PMID: 36278747 PMCID: PMC9590076 DOI: 10.3390/jfmk7040086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/07/2022] [Accepted: 10/11/2022] [Indexed: 11/06/2022] Open
Abstract
Body composition assessment is a relevant element in the biomedical field, in research and daily practice in the medical and nutritional fields, and in the management of athletes. This paper aimed to operate in an Italian sample investigating the possibility of predicting the somatotype from bioimpedance analysis and comparing the predicted results with those obtained from anthropometric measurements. This observational study was conducted with retrospective data collected from 2827 subjects. The somatotype of each subject was calculated both with the Heath−Carter method and by a multiple regression model based on bioimpedance and anthropometric parameters. Somatotypes (endomorph, mesomorph, and ectomorph) were predicted with a high goodness of fit (R2 adjusted > 0.80). Two different somatocharts were obtained from anthropometric measures and bioimpedance parameters and subsequentially compared. Bland−Altman plots showed acceptable accuracy. This study could be a first step in developing a new approach that allows the detection of a subject’s somatotype via bioimpedance analysis, stratified according to sex, with a time-saving and more standardized procedure. It would allow, for example, during the COVID-19 pandemic, to minimize operator−patient contact in having measurements.
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Relationship between Body Composition and Cardiac Autonomic Regulation in a Large Population of Italian Olympic Athletes. J Pers Med 2022; 12:jpm12091508. [PMID: 36143294 PMCID: PMC9505674 DOI: 10.3390/jpm12091508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 09/08/2022] [Accepted: 09/10/2022] [Indexed: 11/17/2022] Open
Abstract
Athletic performance is determined by many factors, such as cardiorespiratory fitness, muscular strength and psychological features, which all interact simultaneously. The large Italian National Olympic Committee database of Olympic athletes offers a unique healthy population to verify the strength of the interplay among a number of major elements of training, including autonomic nervous system (ANS) modulation, biochemical indicators and body composition, in a system medicine approach. This observational, retrospective study involved 583 individuals. As part of the yearly precompetitive examination, cardiac autonomic (heart rate variability), psychological, physical (cycloergometer stress test), biochemical and body composition (BOD POD) evaluations were performed. In subsequent analysis, we first considered the relationship between body composition and single individual variables in a simple correlation matrix, including a multitude of variables; then, Exploratory Factor Analysis (EFA) restricted the information to six latent domains, each combining congruent information in relation to body composition. Finally, we employed a multiple quantile regression model to evaluate possible relationships between ANSIs (index capable of synthetizing ANS regulation) and the latent domains indicated by EFA reflecting body composition. We observed a clear relationship between ANS and body mass composition parameters, as indicated by both bivariate correlations and the quantile regression result of ANSIs versus the latent domain aggregating mainly body composition data expressed in % (p = 0.002). In conclusion, these results suggest that specific training may elicit parallel adaptation of ANS control and body composition. The analysis of Olympic athletes’ data allowed us to obtain a better understanding of the complex, multidimensional factors involved in determining sport performance. The latter appears to be determined by the simultaneous interaction not only of cardiorespiratory fitness, muscular strength and psychological features, but also of ANS cardiovascular modulation and body composition.
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Levi Micheli M, Cannataro R, Gulisano M, Mascherini G. Proposal of a New Parameter for Evaluating Muscle Mass in Footballers through Bioimpedance Analysis. BIOLOGY 2022; 11:biology11081182. [PMID: 36009809 PMCID: PMC9405331 DOI: 10.3390/biology11081182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 07/22/2022] [Accepted: 08/04/2022] [Indexed: 11/16/2022]
Abstract
The evaluation of muscle mass in athletes correlates with sports performance directly. Bioimpedance vector analysis is a growing method of assessing body composition in athletes because it is independent of predictive formulas containing variables such as body weight, ethnicity, age, and sex. The study aims to propose a new parameter (Levi’s Muscle Index, LMI) that evaluates muscle mass through raw bioelectrical data. A total of 664 male footballers underwent bioimpedance assessment during the regular season. LMI was correlated with body cell mass (BCM) and phase angle (PA) to establish efficacy. The footballers were 24.5 ± 5.8 years old, 180.7 ± 5.9 cm tall and weighed 76.3 ± 7.1 kg. The relationships were: LMI-BMI: r = 0.908, r2 = 0.824, p < 0.001; LMI-PA: r = 0.704, r2 = 0.495, p = 0.009 and PA-BCM: r = 0.491, r2 = 0.241, p < 0.001. The results obtained confirm that LMI could be considered a new parameter that provides reliable information to evaluate the muscle mass of athletes. Furthermore, the higher LMI-BCM relationship than PA-BCM demonstrates specificity for muscle mass evaluation in athletes regardless of body weight, ethnicity, age, and sex.
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Affiliation(s)
- Matteo Levi Micheli
- Exercise Science Laboratory Applied to Medicine “Mario Marella”, Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy
| | - Roberto Cannataro
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy
| | - Massimo Gulisano
- Exercise Science Laboratory Applied to Medicine “Mario Marella”, Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy
| | - Gabriele Mascherini
- Exercise Science Laboratory Applied to Medicine “Mario Marella”, Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy
- Correspondence:
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Comparisons between Bioelectrical Impedance Variables, Functional Tests and Blood Markers Based on BMI in Older Women and Their Association with Phase Angle. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19116851. [PMID: 35682434 PMCID: PMC9180009 DOI: 10.3390/ijerph19116851] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 05/28/2022] [Accepted: 06/02/2022] [Indexed: 11/29/2022]
Abstract
The aim of the present study was to compare electrical bioimpedance variables, blood markers and functional tests based on Body Mass Index (BMI) in older women. Associations between Phase Angle (PhA) with functional tests and blood markers were also analyzed. A total of 46 independent elderly people participated in the study, and they were divided into four groups according to BMI values: Group 1 (G1, BMI < 25 kg/m2); Group 2 (G2, BMI > 25−30 kg/m2); Group 3 (G3, BMI > 30−35 kg/m2); Group 4 (G4, BMI > 35 kg/m2). In addition to the weight and height used to calculate the BMI, the following body composition variables were collected: fat mass (FM), fat-free mass, intracellular water (ICW), extracellular water (ECW), total body water (TBW) and PhA (50 kHz) through InBody S10 equipment. Functional capacity was assessed using the Fullerton battery of tests: arm-curl; chair-stand; 6 min walking test (6MWT); time up-and-go test (TUG); standing on one leg (SOOL) and take 10 foot-lines (10FL). The main results showed differences between groups in the tests: 6MWT, SOOL and 10FL between G1 vs. G3 and G2 vs. G3 (p < 0.05); ACT, AIC and AEC between G1 vs. G4 (p < 0.05); FM among all groups (p < 0.05). Negative correlations were found between PhA and the agility test in G1 (r = −0.848; p = 0.008) and G4 (r = −0.909; p = 0.005); PhA and chair-stand in G3 (r = 0.527; p = 0.044); PhA and forearm flexion in G3 (r = 0.641; p = 0.010) and G4 (r = 0.943; p = 0.001); PhA and 6MWT in G4 (r = 0.771; p = 0.042). This study found that there is a clear trend towards better functional capacities with better parameters of body composition. Although there were no differences between groups in PhA, associations were found between different functional tests with PhA, which reveals the importance of this variable as a marker of health status.
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Boillat T, Kourie A, Thalange N, Du Plessis S, Loney T. Guinness World Record: Personal Experience and Physiological Responses of a Non-Professional Athlete Successfully Covering 620 Km in 7-Days by Foot Across the United Arab Emirates. J Sports Sci Med 2022; 21:267-276. [PMID: 35719239 PMCID: PMC9157525 DOI: 10.52082/jssm.2022.267] [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: 03/09/2022] [Accepted: 04/28/2022] [Indexed: 06/15/2023]
Abstract
Ultra-endurance record-breaking attempts place significant metabolic, cardiovascular, and mechanical stress on the athlete. This research explores the personal experience and physiological responses of a non-professional athlete attempting the Guinness World Record of covering 620 km on foot across the United Arab Emirates in 7-days or less. The participant wore a smartwatch throughout the challenge to collect heart rate, activity, and environmental temperature data. Anthropometric, body composition, and inflammatory, haematological, and endocrine biomarkers measurements were completed pre- and post-event. A pre- and post-event interview was conducted to collect data on training and preparation, and self-reported experiences during the challenge. Despite episodes of diarrhoea, vomiting, and muscle cramps due to hypohydration during the first days of the challenge, the participant successfully completed 619.01 km in six days, 21 hours, and 47 minutes (average pace 10.11 min/km) achieving a new Guinness World Record. Body mass remained unchanged, fat mass decreased, and fat-free mass especially in the legs increased over the seven days, most likely due to water retention. Biomarkers of stress, cell damage, and inflammation increased. Haematological markers related to red blood cells decreased probably due to exercise-induced increases in plasma volume with the participant classified with mild anaemia post-event. This case study reinforces the importance of amateur athletes attempting similar ultra-endurance events adhering to a pre-planned hydration and nutrition strategy to maximise performance and minimise the risk of injury.
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Affiliation(s)
- Thomas Boillat
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences
| | - Alan Kourie
- Sports Medicine Department, Mediclinic Parkview Hospital, Mediclinic Middle East
| | - Nandu Thalange
- Al Jalila Children's Specialty Hospital, Dubai, United Arab Emirates
| | - Stefan Du Plessis
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences
| | - Tom Loney
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences
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Gobbo LA, Langer RD, Marini E, Buffa R, Borges JH, Pascoa MA, Cirolini VX, Guerra-Júnior G, Gonçalves EM. Effect of Physical Training on Body Composition in Brazilian Military. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19031732. [PMID: 35162755 PMCID: PMC8834877 DOI: 10.3390/ijerph19031732] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/24/2022] [Accepted: 01/29/2022] [Indexed: 01/10/2023]
Abstract
The military are selected on the basis of physical standards and are regularly involved in strong physical activities, also related to particular sports training. The aims of the study were to analyze the effect of a 7-month military training program on body composition variables and the suitability of specific ‘bioelectrical impedance vector analysis’ (spBIVA), compared to DXA, to detect the changes in body composition. A sample of 270 male Brazilian cadets (19.1 ± 1.1 years), composed of a group practicing military physical training routine only (MT = 155) and a group involved in a specific sport training (SMT = 115), were measured by body composition assessments (evaluated by means of DXA and spBIVA) at the beginning and the end of the military routine year. The effect of training on body composition was similar in SMT and MT groups, with an increase in LST. DXA and spBIVA were correlated, with specific resistance (Rsp) and reactance (Xcsp) positively related to fat mass (FM), FM%, LST, and lean soft tissue index (LSTI), and phase angle positively related to LST and LSTI. Body composition variations due to physical training were recognized by spBIVA: the increase in muscle mass was indicated by the phase angle and Xcsp increase, and the stability of FM% was consistent with the unchanged values of Rsp. Military training produced an increase in muscle mass, but no change in FM%, independently of the sample characteristics at baseline and the practice of additional sports. SpBIVA is a suitable technique for the assessment of body composition in military people.
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Affiliation(s)
- Luis Alberto Gobbo
- Skeletal Muscle Assessment Laboratory (LABSIM), School of Technology and Science, São Paulo State University (UNESP), Presidente Prudente 19060-900, SP, Brazil;
| | - Raquel David Langer
- Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas 13083-887, SP, Brazil; (R.D.L.); (J.H.B.); (M.A.P.); (V.X.C.); (G.G.-J.); (E.M.G.)
| | - Elisabetta Marini
- Department of Life and Environmental Sciences, University of Cagliari, 09042 Monserrato, Italy;
- Correspondence: ; Tel.: +39-070-675-6607
| | - Roberto Buffa
- Department of Life and Environmental Sciences, University of Cagliari, 09042 Monserrato, Italy;
| | - Juliano Henrique Borges
- Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas 13083-887, SP, Brazil; (R.D.L.); (J.H.B.); (M.A.P.); (V.X.C.); (G.G.-J.); (E.M.G.)
| | - Mauro A. Pascoa
- Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas 13083-887, SP, Brazil; (R.D.L.); (J.H.B.); (M.A.P.); (V.X.C.); (G.G.-J.); (E.M.G.)
| | - Vagner X. Cirolini
- Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas 13083-887, SP, Brazil; (R.D.L.); (J.H.B.); (M.A.P.); (V.X.C.); (G.G.-J.); (E.M.G.)
| | - Gil Guerra-Júnior
- Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas 13083-887, SP, Brazil; (R.D.L.); (J.H.B.); (M.A.P.); (V.X.C.); (G.G.-J.); (E.M.G.)
| | - Ezequiel Moreira Gonçalves
- Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas 13083-887, SP, Brazil; (R.D.L.); (J.H.B.); (M.A.P.); (V.X.C.); (G.G.-J.); (E.M.G.)
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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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Bioelectrical Impedance Vector and Creatine Phosphokinase Changes Induced by a High-Intensity Training Session in Rink Hockey Players. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12020751] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
This study aimed to analyze anthropometric and whole-body/muscle-localized bioelectrical impedance vector analysis (BIVA) adaptations and their relation to creatine kinase (CK) as a biomarker of muscle damage in a group of seven male players in the maximum category of professional rink hockey. There were three checkpoint assessments in relation to a high-intensity training session: pre-session (PRE), post-session (POST), and 24 h-post-session (POST24H). The resistance, reactance, and impedance module were adjusted by height (R/h, Xc/h, and Z/h, respectively). The Wilcoxon signed-rank test was used to compare the data at baseline and follow-up, while Spearman correlation was used to explore the relationship between CK and the rest of the parameters. The results registered a decrease in body mass at POST (p = 0.03) and a reestablishment at POST24H (p = 0.02). Whole-body BIVA registered a significant increase in R/h between PRE–to–POST (p = 0.02) and returned to baseline values at POST24H (p = 0.02), which was expected since this parameter is related to hydration processes. Muscle-localized BIVA in the rectus femoris muscle showed an increase in both Xc/h and phase angle in POST (p = 0.04 and p = 0.03, respectively) and a decrease in Xc/h at POST24H (p = 0.02). CK correlated with R/h in the rectus femoris at all the checkpoints (PRE–to–POST: r = 0.75, p = 0.05; PRE–to–POST24H: r = 0.81, p = 0.03; POST–to–POST24H: r = 0.82, p = 0.02). Our results indicate that BIVA is a sensitive methodology to assess general and muscle-localized hydration induced by a high-intensity training session in rink hockey players. A correlation between BIVA and CK was also reported.
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Stagi S, Silva AM, Jesus F, Campa F, Cabras S, Earthman CP, Marini E. Usability of classic and specific bioelectrical impedance vector analysis in measuring body composition of children. Clin Nutr 2022; 41:673-679. [PMID: 35151123 DOI: 10.1016/j.clnu.2022.01.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 01/21/2022] [Accepted: 01/21/2022] [Indexed: 11/27/2022]
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Di Credico A, Gaggi G, Vamvakis A, Serafini S, Ghinassi B, Di Baldassarre A, Izzicupo P. Bioelectrical Impedance Vector Analysis of Young Elite Team Handball Players. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:12972. [PMID: 34948582 PMCID: PMC8701441 DOI: 10.3390/ijerph182412972] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 12/02/2021] [Accepted: 12/06/2021] [Indexed: 11/16/2022]
Abstract
Team handball is a highly dynamic sport where physical demands differ between categories and roles. Thus, physical characteristics are fundamental for the final performance. This study aims to (a) characterize a sample of young male and female elite team handball players with a non-athletic reference population; (b) to generate their 50%, 75%, and 95% percentiles of the bioelectrical variables. The study included 55 young elite team handball players (Males, n = 37, age = 17.0 ± 1.2 yrs, height = 185.8 ± 7.3 cm, weight = 82.0 ± 11.0 kg, body mass index (BMI) = 23.7 ± 2.5; Females, n = 18, age = 17.8 ± 0.9 yrs, height = 171.2 ± 6.4 cm, weight = 67.4 ± 7.2 kg, BMI = 23.0 ± 2.0). Height and bioelectrical variables were assessed in a state of euhydration and standard conditions. Bioelectrical impedance vector analysis (BIVA) was used to characterize the bioelectrical vector (BIA vector) distribution pattern for each group. Compared to the reference values, BIA vector showed statistically significant differences in males U17 (n = 19, T2 = 51.0, p < 0.0001), males U19 (n = 18, T2 = 82.0, p < 0.0001) and females U19 (n = 18, T2 = 85.8, p < 0.0001). Male groups were also bioelectrically different (T2 = 13.7, p = 0.0036). BIVA showed specific bioelectrical characteristics in young male and female elite handball players. This study provides an original data set of bioelectrical impedance reference values of young male and female elite team handball players. Our result might help to interpret individual bioimpedance vectors and define target regions for young handball players.
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Affiliation(s)
- Andrea Di Credico
- Department of Medicine and Aging Sciences, University “G. D’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (A.D.C.); (G.G.); (S.S.); (B.G.); (P.I.)
| | - Giulia Gaggi
- Department of Medicine and Aging Sciences, University “G. D’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (A.D.C.); (G.G.); (S.S.); (B.G.); (P.I.)
- Beth Israel Deaconess Medical Center, Harvard Medical School Initiative for RNA Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Anastasios Vamvakis
- 3rd Department of Pediatrics, Medical School, Aristotle University of Thessaloniki, Hippokration General Hospital, 54649 Thessaloniki, Greece;
| | - Sofia Serafini
- Department of Medicine and Aging Sciences, University “G. D’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (A.D.C.); (G.G.); (S.S.); (B.G.); (P.I.)
| | - Barbara Ghinassi
- Department of Medicine and Aging Sciences, University “G. D’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (A.D.C.); (G.G.); (S.S.); (B.G.); (P.I.)
| | - Angela Di Baldassarre
- Department of Medicine and Aging Sciences, University “G. D’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (A.D.C.); (G.G.); (S.S.); (B.G.); (P.I.)
| | - Pascal Izzicupo
- Department of Medicine and Aging Sciences, University “G. D’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (A.D.C.); (G.G.); (S.S.); (B.G.); (P.I.)
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Ballarin G, Scalfi L, Monfrecola F, Alicante P, Bianco A, Marra M, Sacco AM. Body Composition and Bioelectrical-Impedance-Analysis-Derived Raw Variables in Pole Dancers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182312638. [PMID: 34886363 PMCID: PMC8656643 DOI: 10.3390/ijerph182312638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 11/24/2021] [Accepted: 11/25/2021] [Indexed: 11/20/2022]
Abstract
Few data are available on the body composition of pole dancers. Bioelectrical impedance analysis (BIA) is a method that is used to estimate fat-free mass (FFM) and fat mass (FM), while raw BIA variables, such as the impedance ratio (IR) and phase angle (PhA), are markers of body cell mass and the ratio between extracellular and total body water. The aim of this study was to evaluate the body composition of pole dancers compared to controls, in particular, those raw BIA variables that are considered as markers of muscle composition. Forty female pole dancers and 59 controls participated in the study. BIA was performed on the whole body and upper and lower limbs, separately, at 5, 50, 100 and 250 kHz. The FFM, FFM index, FM and body fat percentage (BF%) were predicted. The bioelectrical impedance indexes IR and PhA were also considered. Pole dancers exhibited higher FFMI and BI indexes and lower BF%. PhA was greater and IRs were smaller in pole dancers than in controls for the whole body and upper limbs. Considering the training level, FFM, whole-body IR and PhA were higher in the professionals than non-professionals. Raw BIA variables significantly differed between the pole dancers and controls, suggesting a higher BCM; furthermore, practicing pole dancing was associated with a greater FFM and lower FM.
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Affiliation(s)
- Giada Ballarin
- Department of Movement Sciences and Wellbeing, University of Naples “Parthenope”, 80133 Naples, Italy;
- Department of Public Health, School of Medicine, Federico II University, 80131 Naples, Italy; (L.S.); (F.M.); (P.A.); (A.B.)
| | - Luca Scalfi
- Department of Public Health, School of Medicine, Federico II University, 80131 Naples, Italy; (L.S.); (F.M.); (P.A.); (A.B.)
| | - Fabiana Monfrecola
- Department of Public Health, School of Medicine, Federico II University, 80131 Naples, Italy; (L.S.); (F.M.); (P.A.); (A.B.)
| | - Paola Alicante
- Department of Public Health, School of Medicine, Federico II University, 80131 Naples, Italy; (L.S.); (F.M.); (P.A.); (A.B.)
| | - Alessandro Bianco
- Department of Public Health, School of Medicine, Federico II University, 80131 Naples, Italy; (L.S.); (F.M.); (P.A.); (A.B.)
| | - Maurizio Marra
- Department of Clinical Medicine and Surgery, School of Medicine, Federico II University, 80131 Naples, Italy;
| | - Anna Maria Sacco
- Department of Public Health, School of Medicine, Federico II University, 80131 Naples, Italy; (L.S.); (F.M.); (P.A.); (A.B.)
- Correspondence:
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Martins AD, Oliveira R, Brito JP, Costa T, Silva J, Ramalho F, Santos-Rocha R, Pimenta N. Effect of exercise on phase angle in cancer patients: a systematic review. J Sports Med Phys Fitness 2021; 62:1255-1265. [PMID: 34821490 DOI: 10.23736/s0022-4707.21.12727-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
INTRODUCTION Body composition is one of the main variables of interest in clinical practice in cancer patients. Specific markers from bioelectrical impedance analysis, such as phase angle (PhA), have been assuming increasing relevance in this population. The aim of the present systematic review was to study and systematise the effect of exercise on PhA in cancer survivors, as compared to control conditions, namely usual care, with no exercise. The effect of exercise on PhA in the population of cancer survivors is not yet established. EVIDENCE ACQUISITIONː This systematic review was conducted on October 13, 2021, through PubMed, Web of Science, Wiley Online Library, Directory of Open Access Journals, Science Direct and JSTOR, following PRISMA guidelines and PICOS model that include: cancer survivors with ≥18 years; intervention of any exercise program for the target group; comparison between intervention group and control group that followed control conditions, namely usual care, with no exercise; outcome related to PhA; and studies of randomized control trials. EVIDENCE SYNTHESIS We founded a total of 1244 publications, using selected keywords. Eight studies were included in this systematic review, after inclusion/exclusion criteria considered. Compared with the control conditions, exercise training programs seem associated with a positive effect on PhA, both in solid tumours and haematologic cancer types, but only when using resistance exercise alone. According to the best evidence synthesis criteria, we could not conclude the superiority of any exercise program analysed in the value of the PhA. CONCLUSIONS There were several exercise details that may have potential to be beneficial for PhA in cancer patients, including an early start of the exercise intervention (during treatment and immediately after discharge from hospital), the use of resistance exercise or/and aerobic exercise, and mainly a long follow-up period (≥ 4 months) to verify the structural effects of exercise on the PhA. However, there were no effects on the PhA value immediately after the intervention, regardless of the type of protocol and the intervention time.
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Affiliation(s)
- Alexandre D Martins
- Sports Science School of Rio Maior, Polytechnic Institute of Santarém, Rio Maior, Portugal - .,CIEQV, Life Quality Research Centre, Rio Maior, Portugal - .,Comprehensive Health Research Centre (CHRC), Departamento de Desporto e Saúde, Escola de Saúde e Desenvolvimento Humano, Universidade de Évora, Évora, Portugal -
| | - Rafael Oliveira
- Sports Science School of Rio Maior, Polytechnic Institute of Santarém, Rio Maior, Portugal.,CIEQV, Life Quality Research Centre, Rio Maior, Portugal.,CIDESD, Research Center in Sport Sciences, Health Sciences and Human Development, Vila Real, Portugal
| | - João P Brito
- Sports Science School of Rio Maior, Polytechnic Institute of Santarém, Rio Maior, Portugal.,CIEQV, Life Quality Research Centre, Rio Maior, Portugal.,CIDESD, Research Center in Sport Sciences, Health Sciences and Human Development, Vila Real, Portugal
| | - Tiago Costa
- Sports Science School of Rio Maior, Polytechnic Institute of Santarém, Rio Maior, Portugal
| | - Júlia Silva
- Sports Science School of Rio Maior, Polytechnic Institute of Santarém, Rio Maior, Portugal
| | - Fátima Ramalho
- Sports Science School of Rio Maior, Polytechnic Institute of Santarém, Rio Maior, Portugal.,CIPER, Interdisciplinary Centre for the Study of Human Performance, Faculty of Human Kinetics (FMH), University of Lisbon, Cruz Quebrada, Portugal
| | - Rita Santos-Rocha
- Sports Science School of Rio Maior, Polytechnic Institute of Santarém, Rio Maior, Portugal.,CIPER, Interdisciplinary Centre for the Study of Human Performance, Faculty of Human Kinetics (FMH), University of Lisbon, Cruz Quebrada, Portugal
| | - Nuno Pimenta
- Sports Science School of Rio Maior, Polytechnic Institute of Santarém, Rio Maior, Portugal.,CIPER, Interdisciplinary Centre for the Study of Human Performance, Faculty of Human Kinetics (FMH), University of Lisbon, Cruz Quebrada, Portugal
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Consistency Is Key When Setting a New World Record for Running 10 Marathons in 10 Days. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182212066. [PMID: 34831820 PMCID: PMC8621928 DOI: 10.3390/ijerph182212066] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/12/2021] [Accepted: 11/16/2021] [Indexed: 11/16/2022]
Abstract
Background: We describe the requirements and physiological changes when running 10 consecutive marathons in 10 days at the same consistent pace by a female ultra-endurance athlete. Methods: Sharon Gayter (SG) 54 yrs, 162.5 cm, 49.3 kg maximal oxygen uptake (VO2 max) 53 mL/kg−1/min−1. SG completed 42.195 km on a treadmill every day for 10 days. We measured heart rate (HR), Rating of Perceived Exertion (RPE), oxygen uptake (VO2), weight, body composition, blood parameters, nutrition, and hydration. Results: SG broke the previous record by ~2.5 h, with a cumulative completion time of 43 h 51 min 39 s. Over the 10 days, weight decreased from 51 kg to 48.4 kg, bodyfat mass from 9.1 kg to 7.2 kg (17.9% to 14.8%), and muscle mass from 23.2 kg to 22.8 kg. For all marathons combined, exercise intensity was ~60% VO2 max; VO2 1.6 ± 0.1 L.min−1/32.3 ± 1.1 mL.kg−1.min−1, RER 0.8 ± 0, HR 143 ± 4 b.min−1. Energy expenditure (EE) was 2030 ± 82 kcal/marathon, total EE for 10 days (including BMR) was 33,056 kcal, daily energy intake (EI) 2036 ± 418 kcal (20,356 kcal total), resulting an energy deficit (ED) of 12,700 kcal. Discussion: Performance and pacing were highly consistent across all 10 marathons without any substantial physiological decrements. Although overall EI did not match EE, leading to a significant ED, resulting in a 2.6 kg weight loss and decreases in bodyfat and skeletal muscle mass, this did not affect performance.
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Cebrián-Ponce Á, Irurtia A, Carrasco-Marginet M, Saco-Ledo G, Girabent-Farrés M, Castizo-Olier J. Electrical Impedance Myography in Health and Physical Exercise: A Systematic Review and Future Perspectives. Front Physiol 2021; 12:740877. [PMID: 34594243 PMCID: PMC8476966 DOI: 10.3389/fphys.2021.740877] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 08/19/2021] [Indexed: 12/25/2022] Open
Abstract
Background: Electrical impedance myography (EIM) is a non-invasive method that provides information about muscle health and changes that occur within it. EIM is based on the analysis of three impedance variables: resistance, reactance, and the phase angle. This systematic review of the literature provides a deeper insight into the scope and range of applications of EIM in health and physical exercise. The main goal of this work was to systematically review the studies on the applications of EIM in health and physical exercise in order to summarize the current knowledge on this method and outline future perspectives in this growing area, including a proposal for a research agenda. Furthermore, some basic assessment principles are provided. Methods: Systematic literature searches on PubMed, Scopus, SPORTDiscus and Web of Science up to September 2020 were conducted on any empirical investigations using localized bioimpedance devices to perform EIM within health and physical exercise contexts. The search included healthy individuals, elite soccer players with skeletal muscle injury, and subjects with primary sarcopenia. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist was used to develop the systematic review protocol. The quality and risk of bias of the studies included were assessed with the AQUA tool. Results: Nineteen eligible original articles were included in this review, which were separated into three tables according to the nature of the study. The first table includes six studies on the bioelectrical characterization of muscle. The second table includes five studies analyzing muscle changes in injured elite soccer players. The third table includes studies on the short-, medium-, and long-term bioelectrical adaptations to physical exercise. Conclusions: EIM has been used for the evaluation of the muscle condition in the clinical field over the last few years, especially in different neuromuscular diseases. It can also play an important role in other contexts as an alternative to complex and expensive methods such as magnetic resonance imaging. However, further research is needed. The main step in establishing EIM as a valid tool in the scientific field is to standardize the protocol for performing impedance assessments.
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Affiliation(s)
- Álex Cebrián-Ponce
- Barcelona Sports Sciences Research Group, Institut Nacional d'Educació Física de Catalunya (INEFC), Universitat de Barcelona (UB), Barcelona, Spain
| | - Alfredo Irurtia
- Barcelona Sports Sciences Research Group, Institut Nacional d'Educació Física de Catalunya (INEFC), Universitat de Barcelona (UB), Barcelona, Spain
| | - Marta Carrasco-Marginet
- Barcelona Sports Sciences Research Group, Institut Nacional d'Educació Física de Catalunya (INEFC), Universitat de Barcelona (UB), Barcelona, Spain
| | - Gonzalo Saco-Ledo
- Bioenergy and Motion Analysis Laboratory, National Research Center on Human Evolution (CENIEH), Burgos, Spain
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Recent Progress in Electrochemical Immunosensors. BIOSENSORS-BASEL 2021; 11:bios11100360. [PMID: 34677316 PMCID: PMC8533705 DOI: 10.3390/bios11100360] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 09/17/2021] [Accepted: 09/27/2021] [Indexed: 12/11/2022]
Abstract
Biosensors used for medical diagnosis work by analyzing physiological fluids. Antibodies have been frequently used as molecular recognition molecules for the specific binding of target analytes from complex biological solutions. Electrochemistry has been introduced for the measurement of quantitative signals from transducer-bound analytes for many reasons, including good sensitivity. Recently, numerous electrochemical immunosensors have been developed and various strategies have been proposed to detect biomarkers. In this paper, the recent progress in electrochemical immunosensors is reviewed. In particular, we focused on the immobilization methods using antibodies for voltammetric, amperometric, impedimetric, and electrochemiluminescent immunosensors.
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D'Hondt J, Chapelle L, Van Droogenbroeck L, Aerenhouts D, Clarys P, D'Hondt E. Bioelectrical impedance analysis as a means of quantifying upper and lower limb asymmetry in youth elite tennis players: An explorative study. Eur J Sport Sci 2021; 22:1343-1354. [PMID: 34296664 DOI: 10.1080/17461391.2021.1960624] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
This study aimed to examine side-to-side differences in phase angle (PhA) in both upper and lower limbs of youth elite tennis players. Among other outcomes, PhA was directly determined using segmental multifrequency bioelectrical impedance analysis (BIA) in 26 tennis players (11.6 ± 1.1 years, 54% boys) and compared against a sex- and age-matched reference population. Significant upper limb asymmetry in PhA (p < 0.001), with a higher value on the dominant side of the body, was observed in the tennis players. At lower limb level, the tennis players showed a tendency towards a significantly higher PhA in the contralateral compared to the ipsilateral limb (p = 0.089). Using vector analysis (BIVA), a significant degree of PhA asymmetry (p = 0.002) was only reflected in the tennis players' upper limb. Additional segmental outcomes also demonstrated a significant degree of upper limb asymmetry in terms of tennis players' lean mass (p < 0.001), total segmental water (p < 0.001), fat mass (p < 0.001), extracellular water (p < 0.001) and extracellular water ratio (p < 0.001), whereas lower limb asymmetry was only observed in tennis players' fat mass (p = 0.037) and extracellular water (p = 0.001). This is the first study to report significantly more pronounced BIA-based side-to-side differences in youth elite tennis players compared to a non-athletic reference population at the upper limb level, whereas no significant between-group differences in the lower limbs were found. This explorative study should trigger future research to further scrutinize the role of BI(V)A as a promising field-method in monitoring bodily asymmetries in youth elite tennis players in view of sport performance and athletic health. HighlightsBioelectrical Impedance Analysis is a promising field-method to monitor side-to-side asymmetry in youth elite tennis players.Youth elite tennis players displayed a more pronounced degree of BIA-based side-to-side differences compared to a non-athletic reference population at the upper limb level, whereas whilst between-group differences appeared to be less evident in the lower limbs.Future research is warranted to scrutinize whether and to what extent these degrees of segmental bodily asymmetry may be related to injury risk (prevention) and athletic development of (pre)adolescent tennis players.
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Affiliation(s)
- Joachim D'Hondt
- Department of Movement and Sport Sciences, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium
| | - Laurent Chapelle
- Department of Movement and Sport Sciences, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium
| | - Linde Van Droogenbroeck
- Department of Movement and Sport Sciences, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium
| | - Dirk Aerenhouts
- Department of Movement and Sport Sciences, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium.,Health, Design & Technology, Erasmus University College, Brussels, Belgium
| | - Peter Clarys
- Department of Movement and Sport Sciences, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium.,Health, Design & Technology, Erasmus University College, Brussels, Belgium
| | - Eva D'Hondt
- Department of Movement and Sport Sciences, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium.,Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
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Badau D, Badau A, Trambitas C, Trambitas-Miron D, Moraru R, Stan AA, Oancea BM, Turcu I, Grosu EF, Grosu VT, Daina LG, Daina CM, Suteu CL, Moraru L. Differences between Active and Semi-Active Students Regarding the Parameters of Body Composition Using Bioimpedance and Magnetic Bioresonance Technologies. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18157906. [PMID: 34360200 PMCID: PMC8345541 DOI: 10.3390/ijerph18157906] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 07/21/2021] [Accepted: 07/22/2021] [Indexed: 11/27/2022]
Abstract
The aim of the study was to identify differences in obesity-related parameters between active sports students and semi-active or sedentary students, differentiated by sex, in order to optimize health. The study sample included 286 students, of which the male experimental sample consisted of 86 active sports students, age X ± SD 21.25 ± 0.32 years; height X ± SD 181.08 ± 3.52 cm; control group consisting of 89 semi-active students aged X ± SD 21.07 ± 0.1.13 years; height X ± SD 182.11 ± 1.32. The female experimental sample includes 57 active sports students, age X ± SD 21.02 ± 0.92 years; height X ± SD 167.48 ± 1.34 cm; the control group includes 54 semi-active students aged X ± SD 21.57 ± 0.1.98 years; height X ± SD 168.42 ± 1.76. The study used a thalliometer, Tanita Health Ware software and Quantum Resonance Magnetic Analyzer equipment to investigate height (cm), Body Mass Index (BMI), muscle mass (kg, %), as well as the obesity analysis report, and componential analysis of body and nourishment. The differences registered between the samples of active and semi-active sports subjects were predominantly statistically significant for p < 0.05. The differences registered between the samples of active and semi-active sports subjects were predominantly statistically significant for p < 0.05. The most important parameters regarding obesity and body composition that registered significant differences between the two male groups were in favor of the group of active athletes: triglyceride content of abnormal coefficient 0.844 (CI95% 0.590–1.099), abnormal lipid metabolism coefficient 0.798 (CI95% 1.091–0.504), obesity degree of body (ODB %) 10.290 (CI95% 6.610–13.970), BMI 2.326 (CI95% 1.527–3.126), body fat (kg) 2.042 (CI95% 0.918–3.166), muscle volume (kg) 2.565 (CI95% 1.100–4.031), Lean body weight (kg) 2.841 (CI95% 5.265–0.418). In the case of female samples, the group of active sportswomen registered the biggest differences compared to the group of students who were significantly active in the parameters: abnormal lipid metabolism coefficient 1.063 (CI95% 1.380–0.746), triglyceride content of abnormal coefficient 0.807 (CI95% 0.437–1.178), obesity degree of body (ODB%) 8.082 (CI95% 2.983–13.181), BMI 2.285 (CI95% 1.247–3.324), body fat (kg) 2.586 (CI95% 0.905–4.267), muscle volume (kg) 2.570 (CI95% 0.154–4.985), lean body weight (kg) 4.118 (CI95% 1.160–7.077). The results of the study directly facilitate the understanding of the complexity of the impact of obesity on multiple parameters of body composition and health.
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Affiliation(s)
- Dana Badau
- “Petru Maior” Faculty of Sciences and Letters, “George Emil Palade” University of Medicine, Pharmacy, Sciences and Technology, 540142 Targu Mures, Romania;
| | - Adela Badau
- “Petru Maior” Faculty of Sciences and Letters, “George Emil Palade” University of Medicine, Pharmacy, Sciences and Technology, 540142 Targu Mures, Romania;
- Correspondence: (A.B.); (C.T.)
| | - Cristian Trambitas
- Faculty of Medicine, “George Emil Palade” University of Medicine, Pharmacy, Sciences and Technology, 540142 Targu Mures, Romania; (D.T.-M.); (R.M.); (A.A.S.); (L.M.)
- Correspondence: (A.B.); (C.T.)
| | - Dia Trambitas-Miron
- Faculty of Medicine, “George Emil Palade” University of Medicine, Pharmacy, Sciences and Technology, 540142 Targu Mures, Romania; (D.T.-M.); (R.M.); (A.A.S.); (L.M.)
| | - Raluca Moraru
- Faculty of Medicine, “George Emil Palade” University of Medicine, Pharmacy, Sciences and Technology, 540142 Targu Mures, Romania; (D.T.-M.); (R.M.); (A.A.S.); (L.M.)
| | - Alexandru Antoniu Stan
- Faculty of Medicine, “George Emil Palade” University of Medicine, Pharmacy, Sciences and Technology, 540142 Targu Mures, Romania; (D.T.-M.); (R.M.); (A.A.S.); (L.M.)
| | - Bogdan Marian Oancea
- Faculty of Physical Education and Mountain Sports, Transilvania University, 500068 Brasov, Romania; (B.M.O.); (I.T.)
| | - Ioan Turcu
- Faculty of Physical Education and Mountain Sports, Transilvania University, 500068 Brasov, Romania; (B.M.O.); (I.T.)
| | - Emilia Florina Grosu
- Faculty of Physical Education and Sports, “Babes Bolyai” University, 540142 Cluj-Napoca, Romania;
| | - Vlad Teodor Grosu
- Faculty of Automotive Mechatronics and Mechanical Engineering, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania;
| | - Lucia Georgeta Daina
- Faculty of Medicine and Pharmacy, University of Oradea, 410087 Oradea, Romania; (L.G.D.); (C.M.D.); (C.L.S.)
| | - Cristian Marius Daina
- Faculty of Medicine and Pharmacy, University of Oradea, 410087 Oradea, Romania; (L.G.D.); (C.M.D.); (C.L.S.)
| | - Corina Lacramioara Suteu
- Faculty of Medicine and Pharmacy, University of Oradea, 410087 Oradea, Romania; (L.G.D.); (C.M.D.); (C.L.S.)
| | - Liviu Moraru
- Faculty of Medicine, “George Emil Palade” University of Medicine, Pharmacy, Sciences and Technology, 540142 Targu Mures, Romania; (D.T.-M.); (R.M.); (A.A.S.); (L.M.)
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Canda AS. Muscle mass index estimated by anthropometry vs bioelectrical impedance: Study in athletes competing by weight categories. APUNTS SPORTS MEDICINE 2021. [DOI: 10.1016/j.apunsm.2021.100360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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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: 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: 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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Lam JH, Tu KJ, Kim S. Narrowband diffuse reflectance spectroscopy in the 900-1000 nm wavelength region to quantify water and lipid content of turbid media. BIOMEDICAL OPTICS EXPRESS 2021; 12:3091-3102. [PMID: 34221647 PMCID: PMC8221973 DOI: 10.1364/boe.425451] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 04/27/2021] [Accepted: 04/27/2021] [Indexed: 06/08/2023]
Abstract
We report a narrow wavelength band diffuse reflectance spectroscopy (nb-DRS) method to determine water and fat ratios of scattering media in the 900-1000 nm range. This method was shown to be linearly correlated with absolute water and fat concentrations as tested on a set of turbid emulsion phantoms with a range of water and lipid compositions. Robustness to scattering assumptions was demonstrated and compared against measured scattering by a frequency-domain photon migration system. nb-DRS was also tested on ex-vivo porcine samples and compared against direct tissue water extraction by analytical chemistry methods. We speculate nb-DRS has potential applications in portable devices such as clinical and digital health wearables.
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Affiliation(s)
- Jesse H. Lam
- University of California, Irvine, Beckman Laser Institute, Department of Biomedical Engineering, Irvine, CA 92612, USA
- Dankook University, Beckman Laser Institute Korea, School of Medicine, Cheonan, Chungnam, Republic of Korea
| | - Kelsey J. Tu
- Dankook University, Department of Biomedical Engineering, Cheonan, Chungnam, Republic of Korea
| | - Sehwan Kim
- Dankook University, Beckman Laser Institute Korea, School of Medicine, Cheonan, Chungnam, Republic of Korea
- Dankook University, Department of Biomedical Engineering, Cheonan, Chungnam, Republic of Korea
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Nusca SM, Parisi A, Mercantini P, Gasparrini M, Pitasi FA, Lacopo A, Colonna V, Stella G, Cerulli C, Grazioli E, Tranchita E, Santoboni F, Latini E, Trischitta D, Vetrano M, Visco V, Pavan A, Vulpiani MC. Evaluation of a Post-Operative Rehabilitation Program in Patients Undergoing Laparoscopic Colorectal Cancer Surgery: A Pilot Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18115632. [PMID: 34070340 PMCID: PMC8197504 DOI: 10.3390/ijerph18115632] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 05/21/2021] [Accepted: 05/21/2021] [Indexed: 01/07/2023]
Abstract
This pilot study explores the effects of a post-operative physical exercise program on the quality of life (QoL) and functional and nutritional parameters of patients that underwent laparoscopic colorectal cancer surgery, compared to usual care alone. The intervention group (IG) attended a 2-month-long supervised and combined exercise–training program during the post-operative period. Both IG and control group (CG) participated in the QoL, functional, and nutritional assessments before exercise training (T0), 2 months after the beginning of the exercise (end of treatment) (T1), and 2 (T2) and 4 (T3) months from the end of treatment. Eleven patients with colorectal cancer that underwent laparoscopic surgery were enrolled (six intervention; five control). The IG showed significant improvements compared to the CG in “Physical functioning” (PF2) (p = 0.030), “Cognitive functioning” (CF) (p = 0.018), and “Fatigue” (FA) (p = 0.017) of the European Organization for Research and Treatment of Cancer Quality of Life-C30 Questionnaire (EORTC QLQ-C30) at T1; in SMWT (p = 0.022) at T1; in PF2 (p = 0.018) and FA (p = 0.045) of EORTC QLQ-C30 at T2, in phase angle (PhA) of bioelectrical impedance analysis (p = 0.022) at T3. This pilot study shows that a post-operative, combined, and supervised physical exercise program may have positive effects in improving the QoL, functional capacity, and nutritional status in patients that undergo laparoscopic colorectal cancer surgery.
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Affiliation(s)
- Sveva Maria Nusca
- PhD Course in “Translational Medicine and Oncology”, Department of Medical and Surgical Sciences and Translational Medicine, Sant’Andrea University Hospital, “Sapienza” University of Rome, 00189 Rome, Italy
- Correspondence:
| | - Attilio Parisi
- Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy; (A.P.); (C.C.); (E.G.); (E.T.)
| | - Paolo Mercantini
- Department of Medical and Surgical Sciences and Translational Medicine, Sant’Andrea University Hospital, “Sapienza” University of Rome, 00189 Rome, Italy;
| | - Marcello Gasparrini
- Department of General Surgery, Sant’Andrea University Hospital, “Sapienza” University of Rome, 00189 Rome, Italy;
| | - Francesco Antonio Pitasi
- Physical Medicine and Rehabilitation Unit, Department of Medical and Surgical Sciences and Translational Medicine, Sant’Andrea University Hospital, “Sapienza” University of Rome, 00189 Rome, Italy; (F.A.P.); (A.L.); (V.C.); (G.S.); (F.S.); (E.L.); (D.T.); (M.V.); (M.C.V.)
| | - Alessandra Lacopo
- Physical Medicine and Rehabilitation Unit, Department of Medical and Surgical Sciences and Translational Medicine, Sant’Andrea University Hospital, “Sapienza” University of Rome, 00189 Rome, Italy; (F.A.P.); (A.L.); (V.C.); (G.S.); (F.S.); (E.L.); (D.T.); (M.V.); (M.C.V.)
| | - Vincenzo Colonna
- Physical Medicine and Rehabilitation Unit, Department of Medical and Surgical Sciences and Translational Medicine, Sant’Andrea University Hospital, “Sapienza” University of Rome, 00189 Rome, Italy; (F.A.P.); (A.L.); (V.C.); (G.S.); (F.S.); (E.L.); (D.T.); (M.V.); (M.C.V.)
| | - Giulia Stella
- Physical Medicine and Rehabilitation Unit, Department of Medical and Surgical Sciences and Translational Medicine, Sant’Andrea University Hospital, “Sapienza” University of Rome, 00189 Rome, Italy; (F.A.P.); (A.L.); (V.C.); (G.S.); (F.S.); (E.L.); (D.T.); (M.V.); (M.C.V.)
| | - Claudia Cerulli
- Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy; (A.P.); (C.C.); (E.G.); (E.T.)
| | - Elisa Grazioli
- Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy; (A.P.); (C.C.); (E.G.); (E.T.)
| | - Eliana Tranchita
- Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy; (A.P.); (C.C.); (E.G.); (E.T.)
| | - Flavia Santoboni
- Physical Medicine and Rehabilitation Unit, Department of Medical and Surgical Sciences and Translational Medicine, Sant’Andrea University Hospital, “Sapienza” University of Rome, 00189 Rome, Italy; (F.A.P.); (A.L.); (V.C.); (G.S.); (F.S.); (E.L.); (D.T.); (M.V.); (M.C.V.)
| | - Eleonora Latini
- Physical Medicine and Rehabilitation Unit, Department of Medical and Surgical Sciences and Translational Medicine, Sant’Andrea University Hospital, “Sapienza” University of Rome, 00189 Rome, Italy; (F.A.P.); (A.L.); (V.C.); (G.S.); (F.S.); (E.L.); (D.T.); (M.V.); (M.C.V.)
| | - Donatella Trischitta
- Physical Medicine and Rehabilitation Unit, Department of Medical and Surgical Sciences and Translational Medicine, Sant’Andrea University Hospital, “Sapienza” University of Rome, 00189 Rome, Italy; (F.A.P.); (A.L.); (V.C.); (G.S.); (F.S.); (E.L.); (D.T.); (M.V.); (M.C.V.)
| | - Mario Vetrano
- Physical Medicine and Rehabilitation Unit, Department of Medical and Surgical Sciences and Translational Medicine, Sant’Andrea University Hospital, “Sapienza” University of Rome, 00189 Rome, Italy; (F.A.P.); (A.L.); (V.C.); (G.S.); (F.S.); (E.L.); (D.T.); (M.V.); (M.C.V.)
| | - Vincenzo Visco
- Department of Clinical and Molecular Medicine, Sant’Andrea University Hospital, “Sapienza” University of Rome, 00189 Rome, Italy; (V.V.); (A.P.)
| | - Antonio Pavan
- Department of Clinical and Molecular Medicine, Sant’Andrea University Hospital, “Sapienza” University of Rome, 00189 Rome, Italy; (V.V.); (A.P.)
| | - Maria Chiara Vulpiani
- Physical Medicine and Rehabilitation Unit, Department of Medical and Surgical Sciences and Translational Medicine, Sant’Andrea University Hospital, “Sapienza” University of Rome, 00189 Rome, Italy; (F.A.P.); (A.L.); (V.C.); (G.S.); (F.S.); (E.L.); (D.T.); (M.V.); (M.C.V.)
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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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Wiśniewski D, Śliwicka E, Malik J, Durkalec-Michalski K. Evaluation of Fluid Loss and Customary Fluid Intake among a Selected Group of Young Swimmers: A Preliminary Field Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18063205. [PMID: 33808826 PMCID: PMC8003718 DOI: 10.3390/ijerph18063205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 03/15/2021] [Accepted: 03/16/2021] [Indexed: 11/26/2022]
Abstract
This study aimed to assess fluid loss (FL) and customary fluid intake (FI) during a training session, and the relationship between FL and total body water (TBW) content in a selected group of young swimmers. The study involved 17 (seven females, 10 males) individuals whose anthropometric and body composition analyses and FI during training units were carried out. The total average FI and total actual FL oscillated around 531 mL and −513 mL for the whole study group (469 mL and −284 mL for females, 574 mL and −674 mL for males). The dependent and independent sample t-tests, the Cohen’s d effect size and Pearson’s correlation coefficient were analysed. Significant differences were observed between pre-workout and post-workout body weights after training without FI in the whole group (66.5 kg vs. 66.0 kg, p < 0.001, d = 0.06), in females (61.2 kg vs. 60.9 kg, p = 0.015, d = 0.04) and males (70.3 kg vs. 69.6 kg, p < 0.001, d = 0.9). For the TBW content and fat-free mass (FFM) before and after training, significant differences were observed only in males (TBW: 43.8 L vs. 43.2 L, p = 0.002, d = 0.14; and 62.4% vs. 61.7%, p < 0.001, d = 0.36; FFM: 59.8 kg vs. 59.1 kg, p = 0.002, d = 0.12). Moreover, the relationship between the actual FL and TBW before training was observed in the whole (mL vs. %: r = −0.64, p = 0.006; mL vs. L: r = −0.84, p < 0.001) and the male group (mL vs. L: r = −0.73, p = 0.017). These results indicated FL in young swimmers during training and the relationship between FL and pre-training TBW content, which suggests that it is important to also pay special attention to effective hydration procedures before and during training in aquatic environments.
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Affiliation(s)
- Damian Wiśniewski
- Department of Sports Dietetics, Poznan University of Physical Education, 61-871 Poznań, Poland;
| | - Ewa Śliwicka
- Department of Physiology and Biochemistry, Poznan University of Physical Education, 61-871 Poznań, Poland;
| | - Jakub Malik
- Department of Physical Activity and Health Promotion Science, Poznan University of Physical Education, 61-871 Poznań, Poland;
| | - Krzysztof Durkalec-Michalski
- Department of Sports Dietetics, Poznan University of Physical Education, 61-871 Poznań, Poland;
- Department of Human Nutrition and Dietetics, Poznan University of Life Sciences, 61-871 Poznań, Poland
- Correspondence: ; Tel.: +48-61-835-52-87
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Stagi S, Irurtia A, Rosales Rafel J, Cabras S, Buffa R, Carrasco-Marginet M, Castizo-Olier J, Marini E. Segmental body composition estimated by specific BIVA and dual-energy X-ray absorptiometry. Clin Nutr 2021; 40:1621-1627. [PMID: 33752150 DOI: 10.1016/j.clnu.2021.02.043] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 02/25/2021] [Accepted: 02/27/2021] [Indexed: 11/19/2022]
Abstract
AIMS The aim of this study was to analyse the association between specific bioelectric impedance vector analysis (BIVA) and dual-energy X-ray absorptiometry (DXA) to assess segmental body composition using DXA as the reference technique. METHODS The sample comprised 50 young active students who practised or played different sports (25 men, age: 24.37 ± 4.79 y; 25 women, age: 24.32 ± 4.43 y) from the National Institute of Physical Education of Catalonia (INEFC). Anthropometric data (height, weight, arm, waist, and calf circumferences) and bioelectrical measurements (R, ohm; Xc, ohm) were recorded. Body composition was analysed with specific BIVA. DXA was used as the reference method to assess body composition of the whole-body, the trunk, and the limbs. The percentage of fat mass (%FMDXA) and fat-free mass index (FFMIDXA = FFM/length2) were calculated. The agreement between specific BIVA and DXA was evaluated by a depth-depth analysis, two-way ANOVA, and Pearson's correlations. RESULTS The depth-depth analysis showed a good agreement between DXA and BIVA (F = 14.89, p < 0.001) in both sexes and all body segments. Specific vector length (Zsp; i.e. indicative of %FM) was correlated with %FMDXA in the whole body and all body segments, and the phase angle was correlated with FFMIDXA, with he trunk in women as the only exception. Specific BIVA demonstrated to balance the effect of body size on bioelectrical measurements in both whole and segmental approaches. CONCLUSIONS Segmental specific BIVA and DXA provided a consistent evaluation of body composition in both sexes, of the whole body and each body segment. The indices %FM and FFMI obtained with DXA were correlated to vector length and phase angle in each segment, respectively. Specific BIVA represents a promising technique for monitoring segmental body composition changes in sport science and clinical applications.
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Affiliation(s)
- Silvia Stagi
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Monserrato, Cagliari, 09042, Italy.
| | - Alfredo Irurtia
- Department of Sports Performance, National Institute of Physical Education of Catalonia, University of Barcelona, Barcelona, Spain
| | - Joaquim Rosales Rafel
- Faixat Body Scan Sport Department, Avinguda de L'Estadi, 12-22, Barcelona, 08038, Spain
| | - Stefano Cabras
- Department of Statistics, Universidad Carlos III de Madrid, Getafe, Spain
| | - Roberto Buffa
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Monserrato, Cagliari, 09042, Italy
| | - Marta Carrasco-Marginet
- Department of Health and Applied Sciences, National Institute of Physical Education of Catalonia, University of Barcelona, Barcelona, Spain
| | - Jorge Castizo-Olier
- School of Health Sciences, Tecnocampus Mataró-Maresme, Pompeu Fabra University, Mataró, Spain
| | - Elisabetta Marini
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Monserrato, Cagliari, 09042, Italy.
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Abstract
The body composition phenotype of an athlete displays the complex interaction among genotype, physiological and metabolic demands of a sport, diet, and physical training. Observational studies dominate the literature and describe the sport-specific physique characteristics (size, shape, and composition) of adult athletes by gender and levels of competition. Limited data reveal how body composition measurements can benefit an athlete. Thus, the objective is to identify purposeful measurements of body composition, notably fat and lean muscle masses, and determine their impact on the health and performance of athletes. Areas of interest include relationships among total and regional body composition measurements, muscle function, sport-specific performance, risk of injury, return to sport after injury, and identification of activity-induced fluid shifts. Discussion includes the application of specific uses of dual X-ray absorptiometry and bioelectrical impedance including an emphasis on the need to minimize measurement errors and standardize protocols, and highlights opportunities for future research. This focus on functional body composition can benefit the health and optimize the performance of an athlete.
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Affiliation(s)
- Henry Lukaski
- Department of Kinesiology and Public Health Education, Hyslop Sports Center, University of North Dakota, Grand Forks, United States
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Feeding Your Himalayan Expedition: Nutritional Signatures and Body Composition Adaptations of Trekkers and Porters. Nutrients 2021; 13:nu13020460. [PMID: 33573243 PMCID: PMC7911656 DOI: 10.3390/nu13020460] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 01/24/2021] [Accepted: 01/28/2021] [Indexed: 01/08/2023] Open
Abstract
High-altitude exposure leads to many physiological challenges, such as weight loss and dehydration. However, little attention has been posed to the role of nutrition and ethnic differences. Aiming to fulfill this gap, five Italian trekkers and seven Nepalese porters, all males, recorded their diet in diaries during a Himalayan expedition (19 days), and the average daily intake of micro and macro-nutrients were calculated. Bioimpedance analysis was performed five times during the trek; muscle ultrasound was performed before and after the expedition, only for the Italians. The Nepalese group consumed a lot of rice and only Italians consumed cheese. Water intake was slightly over 3000 g/d for both groups. Nepalese diet had a higher density of dietary fibre and lower density of riboflavin, vitamins A, K, and B12. Intake of calcium was lower than recommended levels. Body mass index, waist circumference, fat-free mass, and total body water decreased in both groups, whereas resistance (Rz) increased. Italians reactance (Xc) increased at day 9, whereas that of Nepalese occurred at days 5, 9, and 16. The cross-sectional area of the Vastus lateralis was reduced after the expedition. Specific nutritional and food-related risk factors guidance is needed for diverse expedition groups. Loss of muscle mass and balance of fluids both deserve a particular focus as concerns altitude expeditions.
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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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48
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Martins PC, Gobbo LA, Silva DAS. Bioelectrical impedance vector analysis (BIVA) in university athletes. J Int Soc Sports Nutr 2021; 18:7. [PMID: 33422070 PMCID: PMC7796392 DOI: 10.1186/s12970-020-00403-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 12/13/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Bioelectrical impedance vector analysis (BIVA) is able to identify differences in hydration status and body composition components, such as body cell mass (BCM) by means of plotting individuals in ellipses, when comparing groups with different characteristics. OBJECTIVE Compare the confidence and tolerance ellipses of BIVA in individual and team sports athletes with a non-athlete reference population. DESIGN AND PARTICIPANTS One hundred sixty-seven college athletes (team sports: 117 athletes, individual sports: 50 athletes) aged between 18 and 35 years. Bioelectrical impedance was used to measure resistance (R) and reactance (Xc) values that were used in the BIVA analysis to identify hydration status and BCM, respectively. Hotelling's t-test was used to identify differences between groups in the confidence ellipses and the comparison was made with a non-athlete Italian reference population. RESULTS There were no differences between male team sports and individual athletes (p = 0.151) and for female athletes (p = 0.624). Most athletes were located in the 50% tolerance ellipses, indicating adequate hydration. Compared to the Italian a non-athlete population, athletes of both sexes presented left impedance vector deviation in the minor axis (Xc) of the tolerance ellipses, indicating higher BCM. CONCLUSION There were no differences in BIVA between team and individual sports athletes, but most athletes presented an adequate hydration state and, compared to a non-athlete population, the athletes of the present study presented higher BCM.
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Affiliation(s)
- Priscila Custódio Martins
- Departamento de Educação Física, Universidade Federal de Santa Catarina, Centro de Desportos, Campus Universitário - Trindade - Caixa Postal 476, Florianópolis, Santa Catarina, CEP 88040-900, Brazil.
| | | | - Diego Augusto Santos Silva
- Departamento de Educação Física, Universidade Federal de Santa Catarina, Centro de Desportos, Campus Universitário - Trindade - Caixa Postal 476, Florianópolis, Santa Catarina, CEP 88040-900, 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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50
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Campa F, Bongiovanni T, Matias CN, Genovesi F, Trecroci A, Rossi A, Iaia FM, Alberti G, Pasta G, Toselli S. A New Strategy to Integrate Heath-Carter Somatotype Assessment with Bioelectrical Impedance Analysis in Elite Soccer Player. Sports (Basel) 2020; 8:E142. [PMID: 33121135 PMCID: PMC7694105 DOI: 10.3390/sports8110142] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Revised: 10/23/2020] [Accepted: 10/24/2020] [Indexed: 01/11/2023] Open
Abstract
Easy-to-apply and quick methods for evaluate body composition are often preferred when assessing soccer teams. This study aimed to develop new equations for the somatotype quantification that would reduce the anthropometric measurements required by the Heath and Carter method, integrating the somatotype assessment to the bioelectrical impedance analysis (BIA). One hundred and seventy-six male elite soccer players (age 26.9 ± 4.5 years), registered in the Italian first division (Serie A), underwent anthropometric measurements and BIA. Endomorphy, mesomorphy, and ectomorphy were obtained according to the Heath and Carter method, while fat mass (FM) and fat free mass (FFM) estimated using a BIA-derived equation specific for athletes. The participants were randomly split into development (n = 117) and validation groups (n = 59, 1/3 of sample). The developed models including resistance2/stature, FM%, FFM, contracted arm and calf circumference, triceps, and supraspinal skinfolds had high predictive ability for endomorphy (R2 = 0.83, Standard Error of Estimate (SEE) = 0.16) mesomorphy (R2 = 0.80, SEE = 0.36), and ectomorphy (endomorphy (R2 = 0.87, SEE = 0.22). Cross validation revealed R2 of 0.80, 0.84, 0.87 for endomorphy, mesomorphy, and ectomorphy, respectively. The proposed strategy allows the integration of somatotype assessment to BIA in soccer players, reducing the number of instruments and measurements required by the Heath and Carter approach.
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Affiliation(s)
- Francesco Campa
- Department for Life Quality Studies, University of Bologna, 47921 Rimini, Italy;
| | - Tindaro Bongiovanni
- Department of Health, Performance and Recovery, Parma Calcio 1913, 40121 Parma, Italy
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20129 Milano, Italy; (A.T.); (F.M.I.); (G.A.)
| | - 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
| | - Federico Genovesi
- Medical Department Manchester City Football Club, Manchester 03101, UK;
| | - Athos Trecroci
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20129 Milano, Italy; (A.T.); (F.M.I.); (G.A.)
| | - Alessio Rossi
- Department of Computer Science, University of Pisa, 56121 Pisa, Italy;
| | - F. Marcello Iaia
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20129 Milano, Italy; (A.T.); (F.M.I.); (G.A.)
| | - Giampietro Alberti
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20129 Milano, Italy; (A.T.); (F.M.I.); (G.A.)
| | - Giulio Pasta
- Medical Department Parma Calcio 1913, 40121 Parma, Italy;
| | - Stefania Toselli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy;
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