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dc.contributor.authorAlvero Cruz, José Ramón
dc.contributor.authorCarnero, Elvis
dc.contributor.authorCorreas-Gómez, Lorena
dc.contributor.authorRosemann, Thomas
dc.contributor.authorNikolaidis, Pantelis
dc.contributor.authorKnechtle, Beat
dc.contributor.authorGiráldez-García, Manuel Avelino
dc.contributor.authorAlacid, Fernando
dc.date.accessioned2020-12-09T12:52:12Z
dc.date.available2020-12-09T12:52:12Z
dc.date.issued2020-11-09
dc.identifier.citationAlvero-Cruz, J.R.; Carnero, E.A.; Giráldez-García, M.A.; Alacid, F.; Correas-Gómez, L.; Rosemann, T.; Nikolaidis, P.T.; Knechtle, B. Predictive performance models in long-distance runners: a narrative review. Int. J. Environ. Res. Public Health 2020, 17, 8289.es_ES
dc.identifier.issn1660-4601
dc.identifier.urihttp://hdl.handle.net/2183/26907
dc.description.abstract[Abstract] Physiological variables such as maximal oxygen uptake (VO2max), velocity at maximal oxygen uptake (vVO2max), running economy (RE) and changes in lactate levels are considered the main factors determining performance in long-distance races. The aim of this review was to present the mathematical models available in the literature to estimate performance in the 5000 m, 10,000 m, half-marathon and marathon events. Eighty-eight articles were identified, selections were made based on the inclusion criteria and the full text of the articles were obtained. The articles were reviewed and categorized according to demographic, anthropometric, exercise physiology and field test variables were also included by athletic specialty. A total of 58 studies were included, from 1983 to the present, distributed in the following categories: 12 in the 5000 m, 13 in the 10,000 m, 12 in the half-marathon and 21 in the marathon. A total of 136 independent variables associated with performance in long-distance races were considered, 43.4% of which pertained to variables derived from the evaluation of aerobic metabolism, 26.5% to variables associated with training load and 20.6% to anthropometric variables, body composition and somatotype components. The most closely associated variables in the prediction models for the half and full marathon specialties were the variables obtained from the laboratory tests (VO2max, vVO2max), training variables (training pace, training load) and anthropometric variables (fat mass, skinfolds). A large gap exists in predicting time in long-distance races, based on field tests. Physiological e_ort assessments are almost exclusive to shorter specialties (5000 m and 10,000 m). The predictor variables of the half-marathon are mainly anthropometric, but with moderate coe_cients of determination. The variables of note in the marathon category are fundamentally those associated with training and those derived from physiological evaluation and anthropometric parameters.es_ES
dc.language.isoenges_ES
dc.publisherMDPI AGes_ES
dc.relation.urihttps://doi.org/10.3390/ijerph17218289es_ES
dc.rightsAtribución 4.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by4/.0/es/*
dc.subjectPerformancees_ES
dc.subjectLong-distance runnerses_ES
dc.subjectEcuaciones de predicciónes_ES
dc.subjectRendimientoes_ES
dc.subjectCorredores de larga distanciaes_ES
dc.subjectEcuacións de prediciónes_ES
dc.subjectRendementoes_ES
dc.subjectCorredores de longa distanciaes_ES
dc.subjectPrediction equationses_ES
dc.titlePredictive Performance Models in Long-Distance Runners: A Narrative Reviewes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleInternational Journal of Environmental Research and Public Healthes_ES
UDC.volume17es_ES
UDC.issue21es_ES
UDC.startPage1es_ES
UDC.endPage22es_ES


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