Differentiation Between Tendinous, Myotendinous and Myofascial Injuries by L-BIA in Professional Football Players

Nescolarde, Lexa; Terricabras, Joaquim; Mechó, Sandra; Rodas, Gil; Yanguas, Javier

doi:10.3389/fphys.2020.574124

Cited by 12 publications

(14 citation statements)

References 42 publications

(61 reference statements)

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“…In the measurement of segmental bioimpedance, the two injector electrodes are located and fixed in the metacarpophalangeal and metatarsophalangeal joints, while the sensing electrodes are usually placed at the end of the superior and inferior limbs [ 111 , 112 , 113 , 114 , 115 , 116 ]. On the contrary, in L-BIA measurements, the four electrodes are applied on the body region of interest, such as specific muscles [ 45 , 58 , 93 , 117 , 118 ].…”

Section: Bioelectric Impedance Analysis (Bia) In Athletesmentioning

confidence: 99%

Assessment of Body Composition in Athletes: A Narrative Review of Available Methods with Special Reference to Quantitative and Qualitative Bioimpedance Analysis

et al. 2021

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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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Section: Bioelectric Impedance Analysis (Bia) In Athletesmentioning

confidence: 99%

Assessment of Body Composition in Athletes: A Narrative Review of Available Methods with Special Reference to Quantitative and Qualitative Bioimpedance Analysis

et al. 2021

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“…This indicates that EIM is sensitive to the muscle swelling induced by exercise (Shiffman et al, 2003;Freeborn and Fu, 2019). On the other hand, changes in Xc values were similar to those observed in severe injuries (Nescolarde et al, 2013(Nescolarde et al, , 2015(Nescolarde et al, , 2017(Nescolarde et al, , 2020. Information on the PhA values and how 1RM was assessed was not provided.…”

Section: Medium-term Adaptationsmentioning

confidence: 96%

“…A total number of 607 subjects were involved in the studies included in the review, in addition to the unspecified number of participants in the study of Nescolarde et al (2015), who only indicated 21 muscle injuries. Seven studies were carried out with elite soccer athletes, of which two involved non-injured subjects (Mascherini et al, 2015(Mascherini et al, , 2017 and five involved subjects with skeletal muscle injury (Nescolarde et al, 2013(Nescolarde et al, , 2015(Nescolarde et al, , 2017(Nescolarde et al, , 2020Francavilla et al, 2015). Despite all the studies including healthy subjects, one of them compared their data with those of a preliminary study in patients with neuromuscular disease in one section of the article (Shiffman et al, 2003), while another included healthy subjects alongside data from healthy control subjects of a previous study focused on neuromuscular disorders, excluding those with disorders (Aaron et al, 2006).…”

Section: Participants and Characteristics Of The Studiesmentioning

confidence: 99%

“…dystrophy (Rutkove et al, 2014) and facioscapulohumeral muscular dystrophy (Statland et al, 2016). In general, a diseased muscle presents significantly decreased R, Xc, and PhA values, mainly due to muscle fiber atrophy, connective tissue accretion, fat infiltration, and edema (Rutkove et al, 2008;Nescolarde et al, 2020). However, depending on the disease, there may be some parameters that are more useful than others.…”

Section: Introductionmentioning

confidence: 99%

“…These types of injuries are the most common in sports, where they are a major challenge in primary care and sports medicine (Baoge et al, 2012) with regards to their prevention, the determination of the best time for the return to play (RTP) and the reduction of the re-injury rate (Nescolarde et al, 2013). Some longitudinal studies using EIM have been performed with injured elite male soccer players in the last decade (Nescolarde et al, 2013(Nescolarde et al, , 2015(Nescolarde et al, , 2017(Nescolarde et al, , 2020Francavilla et al, 2015). In general, the impedance values of the injured muscle are decreased and gradually recover over time during the process of healing.…”

Section: Introductionmentioning

confidence: 99%

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Electrical Impedance Myography in Health and Physical Exercise: A Systematic Review and Future Perspectives

et al. 2021

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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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Association between muscle‐localized bioelectrical impedance analysis parameters and performance in a multi‐set exercise on the isokinetic dynamometer in young women

Fukuoka,

Oliveira,

Matias

et al. 2024

European Journal of Sport Science

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This study aimed to verify the relationship between changes in thigh muscle‐localized bioelectrical impedance analysis (ML‐BIA) parameters and performance in a multiple‐set exercise. The sample consisted of 30 female university students (22.1 ± 3.2 years). The ML‐BIA parameters, including localized muscle resistance (ML‐R), reactance (ML‐Xc), and phase angle (ML‐AngF), were evaluated using a tetrapolar bioelectric impedance device operating at a frequency of 50 KHz. The multiple sets protocol was performed with an isokinetic dynamometer. For body composition, total and leg lean soft tissue (LST) were evaluated using dual X‐ray absortiometry. Student's t‐test for paired samples was used to compare the ML‐BIA parameters and thigh circumference pre and postexercise. Linear regression analysis was performed to verify the ∆ML‐PhA as a predictor of peak torque for the three sets alone while controlling for total and leg LST. There were differences in the ML‐R (∆ = 0.02 ± 1.45 Ω; p = 0.001; and E.S = 0.19), ML‐Xc (∆ = 2.90 ± 4.12 Ω; p = 0.043; and E.S = 0.36), and thigh circumference (∆ = 0.82 ± 0.60 cm; p < 0.001; and E.S = 0.16) pre‐ and post‐multiple sets. ΔML‐PhA was a predictor of performance in the first set (p = 0.002), regardless of total and leg LST. However, the ΔML‐PhA lost its explanatory power in the other sets (second and third), and the variables that best explained performance were total and leg LST. The ML‐BIA (ML‐R and ML‐Xc) parameters were sensitive and changed after the multiple sets protocol, and the ΔML‐PhA was a predictor of performance in the first set regardless of the total and leg LST.

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Differentiation Between Tendinous, Myotendinous and Myofascial Injuries by L-BIA in Professional Football Players

Cited by 12 publications

References 42 publications

Assessment of Body Composition in Athletes: A Narrative Review of Available Methods with Special Reference to Quantitative and Qualitative Bioimpedance Analysis

Assessment of Body Composition in Athletes: A Narrative Review of Available Methods with Special Reference to Quantitative and Qualitative Bioimpedance Analysis

Electrical Impedance Myography in Health and Physical Exercise: A Systematic Review and Future Perspectives

Association between muscle‐localized bioelectrical impedance analysis parameters and performance in a multi‐set exercise on the isokinetic dynamometer in young women

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