Segmental Bioimpedance Analysis as a Predictor of Injury and Performance Status in Professional Basketball Players: A New Application Potential?
Abstract
:1. Introduction
2. Materials and Methods
2.1. Participants
2.2. Study Design
2.3. Statistical Analysis
3. Results
4. Discussion
4.1. Future Ideas
4.2. Strengths
4.3. Limitations
5. Conclusions
Practical Application
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Meyer, N.L.; Sundgot-Borgen, J.; Lohman, T.G.; Ackland, T.R.; Stewart, A.D.; Maughan, R.J.; Smith, S.; Müller, W. Body composition for health and performance: A survey of body composition assessment practice carried out by the Ad Hoc Research Working Group on Body Composition, Health and Performance under the auspices of the IOC Medical Commission. Br. J. Sports Med. 2013, 47, 1044–1053. [Google Scholar] [CrossRef] [PubMed]
- Roche, A. Anthropometry and ultrasound. In Human Body Composition; Roche, A.F., Heymsfield, S., Lohman, T.G., Eds.; Human Kinetics Press: Champaign, IL, USA, 1996; pp. 167–189. [Google Scholar]
- Buffa, R.; Mereu, E.; Comandini, O.; Ibanez, M.E.; Marini, E. Bioelectrical impedance vector analysis (BIVA) for the assessment of two-compartment body composition. Eur. J. Clin. Nutr. 2014, 68, 1234–1240. [Google Scholar] [CrossRef]
- Fish, R.M.; Geddes, L.A. Conduction of electrical current to and through the human body: A review. Eplasty 2009, 9, e44. [Google Scholar] [PubMed]
- Khalil, S.F.; Mohktar, M.S.; Ibrahim, F. The theory and fundamentals of bioimpedance analysis in clinical status monitoring and diagnosis of diseases. Sensors 2014, 14, 10895–10928. [Google Scholar] [CrossRef] [PubMed]
- Buendia, R.; Seoane, F.; Lindecrantz, K.; Bosaeus, I.; Gil-Pita, R.; Johannsson, G.; Ellegård, L.; Ward, L.C. Estimation of body fluids with bioimpedance spectroscopy: State of the art methods and proposal of novel methods. Physiol. Meas. 2015, 36, 2171–2187. [Google Scholar] [CrossRef]
- Grimnes, S.; Martinsen, Ø.G. Bioimpedance and Bioelectricity Basics, 3rd ed.; Academic Press: Cambridge, MA, USA, 2015; 584p. [Google Scholar]
- Pollastri, L.; Lanfranconi, F.; Tredici, G.; Schenk, K.; Burtscher, M.; Gatterer, H. Body fluid status and physical demand during the Giro d’Italia. Res. Sports Med. 2016, 24, 30–38. [Google Scholar] [CrossRef]
- Lukaski, H.C. Evolution of bioimpedance: A circuitous journey from estimation of physiological function to assessment of body composition and a return to clinical research. Eur. J. Clin. Nutr. 2013, 67 (Suppl. S1), S2–S9. [Google Scholar] [CrossRef] [Green Version]
- Moore, M.L.; Benavides, M.L.; Dellinger, J.R.; Adamson, B.T.; Tinsley, G.M. Segmental Body Composition Evaluation by Bioelectrical Impedance Analysis and Dual-Energy X-Ray Absorptiometry: Quantifying Agreement between Methods. Clin. Nutr. 2020, 39, 2802–2810. [Google Scholar] [CrossRef]
- Organ, L.W.; Bradham, G.B.; Gore, D.T.; Lozier, S.L. Segmental Bioelectrical Impedance Analysis: Theory and Application of a New Technique. J. Appl. Physiol. 1994, 77, 98–112. [Google Scholar] [CrossRef]
- 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; 1–12, online ahead of print. [Google Scholar] [CrossRef]
- Nescolarde, L.; Yanguas, J.; Medina, D.; Rodas, G.; Rosell-Ferrer, J. Assessment and follow-up of muscle injuries in athletes by bioimpedance: Preliminary results. In Proceedings of the 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, USA, 30 August–3 September 2011; Volume 2011, pp. 1137–1140. [Google Scholar] [CrossRef]
- Torres-Ronda, L.; Gámez, I.; Robertson, S.; Fernández, J. Epidemiology and injury trends in the National Basketball Association: Pre- and per-COVID-19 (2017–2021). PLoS ONE 2022, 17, e0263354. [Google Scholar] [CrossRef] [PubMed]
- Moreno-Pérez, V.; Ruiz, J.; Vazquez-Guerrero, J.; Rodas, G.; Del Coso, J. Training and competition injury epidemiology in professional basketball players: A prospective observational study. Phys. Sportsmed. 2021; 1–8, online ahead of print. [Google Scholar] [CrossRef] [PubMed]
- Toomey, C.M.; Cremona, A.; Hughes, K.; Norton, C.; Jakeman, P. A review of body composition measurement in the assessment of health. Top. Clin. Nutr. 2015, 30, 16–32. [Google Scholar] [CrossRef]
- Saltzman, E.; Mogensen, K.M. Physical and clinical assessment of nutrition status. In Nutrition in the Prevention and Treatment of Disease; Elsevier Inc.: Amsterdam, The Netherlands, 2013; pp. 65–79. ISBN 9780123918840. [Google Scholar]
- Silva, A.M. Structural and functional body components in athletic health and performance phenotypes. Eur. J. Clin. Nutr. 2019, 73, 215–224. [Google Scholar] [CrossRef]
- Ackland, T.R.; Lohman, T.G.; Sundgot-Borgen, J.; Maughan, R.J.; Meyer, N.L.; Stewart, A.D.; Müller, W. Current status of body composition assessment in sport: Review and position statement on behalf of the ad hoc research working group on body composition health and performance, under the auspices of the I.O.C. Medical Commission. Sports Med. 2012, 42, 227–249. [Google Scholar] [CrossRef]
- World Medical Association. World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human subjects. J. Postgrad. Med. 2002, 48, 206–208. [Google Scholar]
- Official Gazette of the Italian Republic. LAW 23 March 1981, n. 91 (GU General Series n.86 of 27-03-1981). Available online: http://www.gazzettaufficiale.it/eli/gu/1981/03/27/86/sg/pdf (accessed on 30 May 2022).
- Official Gazette of the Italian Republic. DECREE 13 March 1995 (GU General Series n.98 of 28-04-1995). Available online: http://www.gazzettaufficiale.it/eli/gu/1981/03/27/86/sg/pdf (accessed on 30 May 2022).
- Italian Sports Medicine Federation (FMSI). COVID-19 and Fitness Medical-Sports Visit: FMSI Recommendations. Available online: https://www.fmsi.it/images/img/enforcement/suggerimenti_visite_medico-sportive_20200608.pdf (accessed on 30 May 2022).
- Campa, F.; Toselli, S.; Mazzilli, M.; Gobbo, L.A.; Coratella, G. Assessment of Body Composition in Athletes: A Narrative Review of Available Methods with Special Reference to Quantitative and Qualitative Bioimpedance Analysis. Nutrients 2021, 13, 1620. [Google Scholar] [CrossRef]
- Bertuccioli, A. From Anthropometric Analysis to Body Composition; Practical Manual; Aracne: Aprilia, Italy, 2010; ISBN 978-88-548-3697-6. [Google Scholar]
- Adillón, C.; Gallegos, M.; Treviño, S.; Salvat, I. Detection of Neuromuscular Deficits in Movement Pattern among Uninjured Federated Youth Basketball Players: A Cross-Sectional Study. Int. J. Environ. Res. Public Health 2022, 19, 4077. [Google Scholar] [CrossRef]
- Wang, P.; Baek, S. Early Warning of Basketball Injury Risk Based on Attribute Reduction Algorithm. Comput. Intell. Neurosci. 2022, 2022, 6981246. [Google Scholar] [CrossRef]
- Tao, H.; Husher, A.; Schneider, Z.; Strand, S.; Ness, B. The relationship between single leg balance and isometric ankle and hip strength in a healthy population. Int. J. Sports Phys. Ther. 2020, 15, 712–721. [Google Scholar] [CrossRef]
- Halabchi, F.; Angoorani, H.; Mirshahi, M.; Pourgharib Shahi, M.H.; Mansournia, M.A. The Prevalence of Selected Intrinsic Risk Factors for Ankle Sprain among Elite Football and Basketball Players. Asian J. Sports Med. 2016, 7, e35287. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Yeh, P.C.; Starkey, C.; Lombardo, S.; Vitti, G.; Kharrazi, F.D. Epidemiology of isolated meniscal injury and its effect on performance in athletes from the National Basketball Association. Am. J. Sports Med. 2012, 40, 589–594. [Google Scholar] [CrossRef] [PubMed]
- Shimozaki, K.; Nakase, J.; Takata, Y.; Shima, Y.; Kitaoka, K.; Tsuchiya, H. Greater body mass index and hip abduction muscle strength predict noncontact anterior cruciate ligament injury in female Japanese high school basketball players. Knee Surg. Sports Traumatol. Arthrosc. 2018, 26, 3004–3011. [Google Scholar] [CrossRef]
- Caamaño-Navarrete, F.; Delgado-Floody, P.; Martinez-Salazar, C.; Jerez-Mayorga, D. Speed and throwing the ball are related to jump capacity and skeletal muscle mass in university basketball players. J. Sports Med. Phys. Fitness 2021, 61, 771–778. [Google Scholar] [CrossRef] [PubMed]
- Pojskic, H.; Sisic, N.; Separovic, V.; Sekulic, D. Association Between Conditioning Capacities and Shooting Performance in Professional Basketball Players: An Analysis of Stationary and Dynamic Shooting Skills. J. Strength Cond. Res. 2018, 32, 1981–1992. [Google Scholar] [CrossRef] [PubMed]
- Mancha-Triguero, D.; García-Rubio, J.; Calleja-González, J.; Ibáñez, S.J. Physical fitness in basketball players: A systematic review. J. Sports Med. Phys. Fitness 2019, 59, 1513–1525. [Google Scholar] [CrossRef] [PubMed]
- Zhao, D. Injuries in College Basketball Sports Based on Machine Learning from the Perspective of the Integration of Sports and Medicine. Comput. Intell. Neurosci. 2022, 2022, 1429042. [Google Scholar] [CrossRef]
- Wang, P.; Gao, W. Image detection and basketball training performance simulation based on improved machine learning. J. Intell. Fuzzy Syst. 2021, 40, 2493–2504. [Google Scholar]
Parameter | Value | Standard Deviation |
---|---|---|
Age (year) | 25.5 | ±5.9 |
Height (cm) | 197.7 | ±8.4 |
Weight (kg) | 94.2 | ±8.4 |
BMI (kg/m2) | 24.1 | ±1.3 |
Variables | Mean (Min–Max) | |
---|---|---|
Dependent variables | Inj_All | 0.66 (0–3) |
Dur_Inj_All (days) | 7.19 (0–60) | |
Dur_Inj_All/Inj_All (days) | 6.23 (0–60) | |
Inf_Match | 0.21 (0–1) | |
Dur_inf_Match (days) | 9.16 (0–60) | |
Plus_Minus | −36 (−81–3) | |
Assist | 44.5 (1–185) | |
N_rec | 18.75 (1–62) | |
Independent variables | BMI (kg/m2) | 23.8 (21.3–26.0) |
Xc (Ω) | 61.4 (47–72) | |
Rz (Ω) | 429 (367–632) | |
XcTrunk | 6.3 (4–8) | |
RzTrunk | 35.5 (18–44) | |
XcEmsDx | 59.5 (47–69) | |
RzEmsDx | 422 (377–485) | |
XcEmsSx | 60.1 (50–69) | |
RzEmsSx | 422.7 (377–485) | |
XcEmsSup | 54.7 (43–102) | |
RzEmsSup | 376 (300–436) | |
XcEmsInf | 60.1 (45–73) | |
RzEmsInf | 432 (377–484) | |
XcArmDx | 26.4 (18–31) | |
RzArmDx | 187 (143–215) | |
XcArmSx | 26.8 (19–31) | |
RzArmSx | 188.4 (154–229) | |
XcLegDx | 30.3 (22–38) | |
RzLegDx | 215.9 (188–242) | |
XcLegSx | 30.3 (18–36) | |
RzLegSx | 217.0 (185–245) |
Dependent Variable | Independent Variable | Standardized β | Standard Error | t Value | p > |t| |
---|---|---|---|---|---|
Inj_All | XcEmsSup | 0.037 | 0.013 | 2.881 | 0.007 |
Dur_Inj_All | BMI | −8.243 | 1.817 | −4.536 | <0.001 |
XcLegDx | −2.663 | 0.632 | −4.213 | <0.001 | |
Inf_Match | XcArmDx | −0.087 | 0.019 | −4.469 | <0.001 |
Dur_inf_Match | RzArmDx | −0.799 | 0.191 | −4.202 | <0.001 |
RzTrunk | 2.261 | 0.787 | 2.873 | 0.008 | |
Plus_Minus | RzArmDx | 0.601 | 0.208 | 2.889 | 0.007 |
Assist | BMI | 12.47 | 5.532 | 2.254 | 0.032 |
RzArmDx | −1.217 | 0.362 | −3.362 | 0.002 | |
N_rec | BMI | 9.358 | 2.051 | 4.564 | <0.001 |
XcEmsSx | 1.521 | 0.502 | 3.042 | 0.005 |
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Bertuccioli, A.; Cardinali, M.; Benelli, P. Segmental Bioimpedance Analysis as a Predictor of Injury and Performance Status in Professional Basketball Players: A New Application Potential? Life 2022, 12, 1062. https://doi.org/10.3390/life12071062
Bertuccioli A, Cardinali M, Benelli P. Segmental Bioimpedance Analysis as a Predictor of Injury and Performance Status in Professional Basketball Players: A New Application Potential? Life. 2022; 12(7):1062. https://doi.org/10.3390/life12071062
Chicago/Turabian StyleBertuccioli, Alexander, Marco Cardinali, and Piero Benelli. 2022. "Segmental Bioimpedance Analysis as a Predictor of Injury and Performance Status in Professional Basketball Players: A New Application Potential?" Life 12, no. 7: 1062. https://doi.org/10.3390/life12071062