A New Model for Non-invasive Estimation of Muscle Composition in Team Sport Athletes
ABSTRACT: The fiber type composition of the athletes can be studied by muscle biopsy. However, it is an invasive, thus discouraged procedure. We standardized a method to non-invasively estimate the area occupied by type II fibers (FTII) in the vastus lateralis muscle (VLM) based on the quantificatio...
- Autores:
-
Gallo Villegas, Jaime Alberto
Calderón Vélez, Juan Camilo
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_5794
- Fecha de publicación:
- 2023
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/36790
- Acceso en línea:
- https://hdl.handle.net/10495/36790
- Palabra clave:
- Atletas
Athletes
Fibras Musculares de Contracción Rápida
Muscle Fibers, Fast-Twitch
Carnosina
Carnosine
Espectroscopía de Protones por Resonancia Magnética
Proton Magnetic Resonance Spectroscopy
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/2.5/co/
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| dc.title.spa.fl_str_mv |
A New Model for Non-invasive Estimation of Muscle Composition in Team Sport Athletes |
| title |
A New Model for Non-invasive Estimation of Muscle Composition in Team Sport Athletes |
| spellingShingle |
A New Model for Non-invasive Estimation of Muscle Composition in Team Sport Athletes Atletas Athletes Fibras Musculares de Contracción Rápida Muscle Fibers, Fast-Twitch Carnosina Carnosine Espectroscopía de Protones por Resonancia Magnética Proton Magnetic Resonance Spectroscopy |
| title_short |
A New Model for Non-invasive Estimation of Muscle Composition in Team Sport Athletes |
| title_full |
A New Model for Non-invasive Estimation of Muscle Composition in Team Sport Athletes |
| title_fullStr |
A New Model for Non-invasive Estimation of Muscle Composition in Team Sport Athletes |
| title_full_unstemmed |
A New Model for Non-invasive Estimation of Muscle Composition in Team Sport Athletes |
| title_sort |
A New Model for Non-invasive Estimation of Muscle Composition in Team Sport Athletes |
| dc.creator.fl_str_mv |
Gallo Villegas, Jaime Alberto Calderón Vélez, Juan Camilo |
| dc.contributor.author.none.fl_str_mv |
Gallo Villegas, Jaime Alberto Calderón Vélez, Juan Camilo |
| dc.contributor.conferencename.spa.fl_str_mv |
American College Sports Medicine 70th Annual Meeting |
| dc.contributor.researchgroup.spa.fl_str_mv |
Grupo de Investigación en Fisiología y Bioquímica - Physis Grupo de Investigación en Medicina Aplicada a la Actividad Física y el Deporte (GRINMADE) |
| dc.subject.decs.none.fl_str_mv |
Atletas Athletes Fibras Musculares de Contracción Rápida Muscle Fibers, Fast-Twitch Carnosina Carnosine Espectroscopía de Protones por Resonancia Magnética Proton Magnetic Resonance Spectroscopy |
| topic |
Atletas Athletes Fibras Musculares de Contracción Rápida Muscle Fibers, Fast-Twitch Carnosina Carnosine Espectroscopía de Protones por Resonancia Magnética Proton Magnetic Resonance Spectroscopy |
| description |
ABSTRACT: The fiber type composition of the athletes can be studied by muscle biopsy. However, it is an invasive, thus discouraged procedure. We standardized a method to non-invasively estimate the area occupied by type II fibers (FTII) in the vastus lateralis muscle (VLM) based on the quantification of intramuscular carnosine by proton magnetic resonance spectroscopy (1H MRS). Carnosine is enriched in FTII in athletes. PURPOSE: To develop a simple and easy-to-apply model for estimating muscle fiber types composition in team sports athletes using 1H MRS as gold standard. METHODS: Cross-sectional study with 51 high-performance, young athletes (20.6 ± 2.9 years, 58% women), of team sports (26% handball, 22% basketball, 22% floor volleyball, 18% softball, 8% beach volleyball, 6% indoor soccer). The area occupied by FTII in the VLM was estimated by quantifying carnosine by 1H MRS in a 3 T scanner using a surface coil. Field tests (speed, jump, maximum oxygen uptake), anthropometric measurements and demographic variables were obtained. A multiple linear regression model was built based on biological plausibility and Hosmer-Lemeshow criterion. The model with the highest R2 and the lowest value of the Akaike Information Criterion was selected. The assumptions of normal distribution of the errors were verified using the Shapiro-Wilk test, homoscedasticity with the Breusch-Pagan test, and non-correlation with Durbin-Watson d statistic. RESULTS: The population had an FTII of 32.9 ± 8.9%, speed of 7.3 ± 0.5 m/s, counter movement jump (cmj) of 34.0 ± 7.3 cm and body fat percentage of 16.7 ± 6.3%. Men had a higher FTII (38.3 ± 8.8%) than women (29.1 ± 6.9%) (p < 0.001). A significant correlation of the FTII with speed (r = 0.528; p < 0.001), cmj (r = 0.509; p < 0.001) and body fat percentage (r = -0.335; p = 0.019) was found. The model complied with the assumptions and has a predictive scope: FTII (%) = 3.04 + 2.30*(speed in m/s) + 0.56*(cmj in cm) + 0.58*(body fat in %)-0.92*(age in years) + 7.68*(sex; male = 1; female = 0). CONCLUSION: The selected independent variables explained by 42% the variability of the area occupied by FTII in team sport athletes. This new model for estimating the composition of skeletal muscle fibers depends on field tests, anthropometric measurements and demographic variables that are very easy to obtain in clinical practice. |
| publishDate |
2023 |
| dc.date.accessioned.none.fl_str_mv |
2023-10-03T20:38:26Z |
| dc.date.available.none.fl_str_mv |
2023-10-03T20:38:26Z |
| dc.date.issued.none.fl_str_mv |
2023 |
| dc.type.spa.fl_str_mv |
Documento de conferencia |
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http://purl.org/coar/resource_type/c_c94f |
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http://purl.org/coar/resource_type/c_5794 |
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https://purl.org/redcol/resource_type/EC |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/conferenceObject |
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publishedVersion |
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Gallo-Villegas, Jaime A.; Calderón, Juan C.. A New Model for Non-invasive Estimation of Muscle Composition in Team Sport Athletes: 2595. Medicine & Science in Sports & Exercise 55(9S):p 860-861, September 2023. | DOI: 10.1249/01.mss.0000987936.67835.dc |
| dc.identifier.issn.none.fl_str_mv |
0195-9131 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10495/36790 |
| dc.identifier.doi.none.fl_str_mv |
10.1249/01.mss.0000987936.67835.dc |
| dc.identifier.eissn.none.fl_str_mv |
1530-0315 |
| identifier_str_mv |
Gallo-Villegas, Jaime A.; Calderón, Juan C.. A New Model for Non-invasive Estimation of Muscle Composition in Team Sport Athletes: 2595. Medicine & Science in Sports & Exercise 55(9S):p 860-861, September 2023. | DOI: 10.1249/01.mss.0000987936.67835.dc 0195-9131 10.1249/01.mss.0000987936.67835.dc 1530-0315 |
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https://hdl.handle.net/10495/36790 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartofjournalabbrev.spa.fl_str_mv |
Med. Sci. Sports. Exerc. |
| dc.relation.citationendpage.spa.fl_str_mv |
861 |
| dc.relation.citationissue.spa.fl_str_mv |
Suplemento 9 |
| dc.relation.citationstartpage.spa.fl_str_mv |
860 |
| dc.relation.citationvolume.spa.fl_str_mv |
55 |
| dc.relation.conferencedate.spa.fl_str_mv |
2023-05-30/2023-06-02 |
| dc.relation.conferenceplace.spa.fl_str_mv |
Denver, Estados Unidos |
| dc.relation.ispartofjournal.spa.fl_str_mv |
Medicine and science in sports and exercise |
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http://creativecommons.org/licenses/by-nc-nd/2.5/co/ |
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Lippincott, Williams & Wilkins American College of Sports Medicine (ACSM) |
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Hagerstown, Estados Unidos |
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Universidad de Antioquia |
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Gallo Villegas, Jaime AlbertoCalderón Vélez, Juan CamiloAmerican College Sports Medicine 70th Annual MeetingGrupo de Investigación en Fisiología y Bioquímica - PhysisGrupo de Investigación en Medicina Aplicada a la Actividad Física y el Deporte (GRINMADE)2023-10-03T20:38:26Z2023-10-03T20:38:26Z2023Gallo-Villegas, Jaime A.; Calderón, Juan C.. A New Model for Non-invasive Estimation of Muscle Composition in Team Sport Athletes: 2595. Medicine & Science in Sports & Exercise 55(9S):p 860-861, September 2023. | DOI: 10.1249/01.mss.0000987936.67835.dc0195-9131https://hdl.handle.net/10495/3679010.1249/01.mss.0000987936.67835.dc1530-0315ABSTRACT: The fiber type composition of the athletes can be studied by muscle biopsy. However, it is an invasive, thus discouraged procedure. We standardized a method to non-invasively estimate the area occupied by type II fibers (FTII) in the vastus lateralis muscle (VLM) based on the quantification of intramuscular carnosine by proton magnetic resonance spectroscopy (1H MRS). Carnosine is enriched in FTII in athletes. PURPOSE: To develop a simple and easy-to-apply model for estimating muscle fiber types composition in team sports athletes using 1H MRS as gold standard. METHODS: Cross-sectional study with 51 high-performance, young athletes (20.6 ± 2.9 years, 58% women), of team sports (26% handball, 22% basketball, 22% floor volleyball, 18% softball, 8% beach volleyball, 6% indoor soccer). The area occupied by FTII in the VLM was estimated by quantifying carnosine by 1H MRS in a 3 T scanner using a surface coil. Field tests (speed, jump, maximum oxygen uptake), anthropometric measurements and demographic variables were obtained. A multiple linear regression model was built based on biological plausibility and Hosmer-Lemeshow criterion. The model with the highest R2 and the lowest value of the Akaike Information Criterion was selected. The assumptions of normal distribution of the errors were verified using the Shapiro-Wilk test, homoscedasticity with the Breusch-Pagan test, and non-correlation with Durbin-Watson d statistic. RESULTS: The population had an FTII of 32.9 ± 8.9%, speed of 7.3 ± 0.5 m/s, counter movement jump (cmj) of 34.0 ± 7.3 cm and body fat percentage of 16.7 ± 6.3%. Men had a higher FTII (38.3 ± 8.8%) than women (29.1 ± 6.9%) (p < 0.001). A significant correlation of the FTII with speed (r = 0.528; p < 0.001), cmj (r = 0.509; p < 0.001) and body fat percentage (r = -0.335; p = 0.019) was found. The model complied with the assumptions and has a predictive scope: FTII (%) = 3.04 + 2.30*(speed in m/s) + 0.56*(cmj in cm) + 0.58*(body fat in %)-0.92*(age in years) + 7.68*(sex; male = 1; female = 0). CONCLUSION: The selected independent variables explained by 42% the variability of the area occupied by FTII in team sport athletes. This new model for estimating the composition of skeletal muscle fibers depends on field tests, anthropometric measurements and demographic variables that are very easy to obtain in clinical practice.Colombia. Banco de la RepúblicaUniversidad de Antioquia. Vicerrectoría de investigación. Comité para el Desarrollo de la Investigación - CODICOL0007328COL00702231application/pdfengLippincott, Williams & WilkinsAmerican College of Sports Medicine (ACSM)Hagerstown, Estados Unidoshttp://creativecommons.org/licenses/by-nc-nd/2.5/co/https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2A New Model for Non-invasive Estimation of Muscle Composition in Team Sport AthletesDocumento de conferenciahttp://purl.org/coar/resource_type/c_5794http://purl.org/coar/resource_type/c_c94fhttps://purl.org/redcol/resource_type/EChttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionAtletasAthletesFibras Musculares de Contracción RápidaMuscle Fibers, Fast-TwitchCarnosinaCarnosineEspectroscopía de Protones por Resonancia MagnéticaProton Magnetic Resonance SpectroscopyMed. Sci. Sports. Exerc.861Suplemento 9860552023-05-30/2023-06-02Denver, Estados UnidosMedicine and science in sports and exerciseMedición de carnosina intramuscular por espectroscopía por resonancia magnética de protones en pacientes con síndrome metabólico2018-22211RoR:01shra089RoR:03bp5hc83$18.000.000PublicationCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8823https://bibliotecadigital.udea.edu.co/bitstreams/9dbdd12f-6c18-4d4a-bfa8-581f74285284/downloadb88b088d9957e670ce3b3fbe2eedbc13MD52falseAnonymousREADLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstreams/942fad23-e3cc-4c01-8df6-2bc372a1ab96/download8a4605be74aa9ea9d79846c1fba20a33MD53falseAnonymousREADORIGINALGalloJaime_2023_Non-invasive_Estimation_Muscle_Composition.pdfGalloJaime_2023_Non-invasive_Estimation_Muscle_Composition.pdfDocumento de conferenciaapplication/pdf1355032https://bibliotecadigital.udea.edu.co/bitstreams/382dc1c4-b466-4b72-8f2d-726bb8c6b793/downloadee24b80fbb31e96642b7dc0c4c00ea8dMD51trueAnonymousREADTEXTGalloJaime_2023_Non-invasive_Estimation_Muscle_Composition.pdf.txtGalloJaime_2023_Non-invasive_Estimation_Muscle_Composition.pdf.txtExtracted texttext/plain15182https://bibliotecadigital.udea.edu.co/bitstreams/8c1ad0f7-ea2a-4dd8-9a59-3f4595782cae/download5e14408eba36572b7545c75ba2ca03adMD54falseAnonymousREADTHUMBNAILGalloJaime_2023_Non-invasive_Estimation_Muscle_Composition.pdf.jpgGalloJaime_2023_Non-invasive_Estimation_Muscle_Composition.pdf.jpgGenerated Thumbnailimage/jpeg13972https://bibliotecadigital.udea.edu.co/bitstreams/6c2e2863-1274-4a69-84f8-3eb29896a6d1/downloadff1e72e656315ee8322359a8c0e8cda5MD55falseAnonymousREAD10495/36790oai:bibliotecadigital.udea.edu.co:10495/367902025-03-27 01:27:30.741http://creativecommons.org/licenses/by-nc-nd/2.5/co/open.accesshttps://bibliotecadigital.udea.edu.coRepositorio Institucional de la Universidad de Antioquiaaplicacionbibliotecadigitalbiblioteca@udea.edu.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 |
