Cargando…
Blood-Borne Markers of Fatigue in Competitive Athletes – Results from Simulated Training Camps
Assessing current fatigue of athletes to fine-tune training prescriptions is a critical task in competitive sports. Blood-borne surrogate markers are widely used despite the scarcity of validation trials with representative subjects and interventions. Moreover, differences between training modes and...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4758695/ https://www.ncbi.nlm.nih.gov/pubmed/26891051 http://dx.doi.org/10.1371/journal.pone.0148810 |
_version_ | 1782416624791322624 |
---|---|
author | Hecksteden, Anne Skorski, Sabrina Schwindling, Sascha Hammes, Daniel Pfeiffer, Mark Kellmann, Michael Ferrauti, Alexander Meyer, Tim |
author_facet | Hecksteden, Anne Skorski, Sabrina Schwindling, Sascha Hammes, Daniel Pfeiffer, Mark Kellmann, Michael Ferrauti, Alexander Meyer, Tim |
author_sort | Hecksteden, Anne |
collection | PubMed |
description | Assessing current fatigue of athletes to fine-tune training prescriptions is a critical task in competitive sports. Blood-borne surrogate markers are widely used despite the scarcity of validation trials with representative subjects and interventions. Moreover, differences between training modes and disciplines (e.g. due to differences in eccentric force production or calorie turnover) have rarely been studied within a consistent design. Therefore, we investigated blood-borne fatigue markers during and after discipline-specific simulated training camps. A comprehensive panel of blood-born indicators was measured in 73 competitive athletes (28 cyclists, 22 team sports, 23 strength) at 3 time-points: after a run-in resting phase (d 1), after a 6-day induction of fatigue (d 8) and following a subsequent 2-day recovery period (d 11). Venous blood samples were collected between 8 and 10 a.m. Courses of blood-borne indicators are considered as fatigue dependent if a significant deviation from baseline is present at day 8 (Δfatigue) which significantly regresses towards baseline until day 11 (Δrecovery). With cycling, a fatigue dependent course was observed for creatine kinase (CK; Δfatigue 54±84 U/l; Δrecovery -60±83 U/l), urea (Δfatigue 11±9 mg/dl; Δrecovery -10±10 mg/dl), free testosterone (Δfatigue -1.3±2.1 pg/ml; Δrecovery 0.8±1.5 pg/ml) and insulin linke growth factor 1 (IGF-1; Δfatigue -56±28 ng/ml; Δrecovery 53±29 ng/ml). For urea and IGF-1 95% confidence intervals for days 1 and 11 did not overlap with day 8. With strength and high-intensity interval training, respectively, fatigue-dependent courses and separated 95% confidence intervals were present for CK (strength: Δfatigue 582±649 U/l; Δrecovery -618±419 U/l; HIIT: Δfatigue 863±952 U/l; Δrecovery -741±842 U/l) only. These results indicate that, within a comprehensive panel of blood-borne markers, changes in fatigue are most accurately reflected by urea and IGF-1 for cycling and by CK for strength training and team sport players. |
format | Online Article Text |
id | pubmed-4758695 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47586952016-02-26 Blood-Borne Markers of Fatigue in Competitive Athletes – Results from Simulated Training Camps Hecksteden, Anne Skorski, Sabrina Schwindling, Sascha Hammes, Daniel Pfeiffer, Mark Kellmann, Michael Ferrauti, Alexander Meyer, Tim PLoS One Research Article Assessing current fatigue of athletes to fine-tune training prescriptions is a critical task in competitive sports. Blood-borne surrogate markers are widely used despite the scarcity of validation trials with representative subjects and interventions. Moreover, differences between training modes and disciplines (e.g. due to differences in eccentric force production or calorie turnover) have rarely been studied within a consistent design. Therefore, we investigated blood-borne fatigue markers during and after discipline-specific simulated training camps. A comprehensive panel of blood-born indicators was measured in 73 competitive athletes (28 cyclists, 22 team sports, 23 strength) at 3 time-points: after a run-in resting phase (d 1), after a 6-day induction of fatigue (d 8) and following a subsequent 2-day recovery period (d 11). Venous blood samples were collected between 8 and 10 a.m. Courses of blood-borne indicators are considered as fatigue dependent if a significant deviation from baseline is present at day 8 (Δfatigue) which significantly regresses towards baseline until day 11 (Δrecovery). With cycling, a fatigue dependent course was observed for creatine kinase (CK; Δfatigue 54±84 U/l; Δrecovery -60±83 U/l), urea (Δfatigue 11±9 mg/dl; Δrecovery -10±10 mg/dl), free testosterone (Δfatigue -1.3±2.1 pg/ml; Δrecovery 0.8±1.5 pg/ml) and insulin linke growth factor 1 (IGF-1; Δfatigue -56±28 ng/ml; Δrecovery 53±29 ng/ml). For urea and IGF-1 95% confidence intervals for days 1 and 11 did not overlap with day 8. With strength and high-intensity interval training, respectively, fatigue-dependent courses and separated 95% confidence intervals were present for CK (strength: Δfatigue 582±649 U/l; Δrecovery -618±419 U/l; HIIT: Δfatigue 863±952 U/l; Δrecovery -741±842 U/l) only. These results indicate that, within a comprehensive panel of blood-borne markers, changes in fatigue are most accurately reflected by urea and IGF-1 for cycling and by CK for strength training and team sport players. Public Library of Science 2016-02-18 /pmc/articles/PMC4758695/ /pubmed/26891051 http://dx.doi.org/10.1371/journal.pone.0148810 Text en © 2016 Hecksteden et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Hecksteden, Anne Skorski, Sabrina Schwindling, Sascha Hammes, Daniel Pfeiffer, Mark Kellmann, Michael Ferrauti, Alexander Meyer, Tim Blood-Borne Markers of Fatigue in Competitive Athletes – Results from Simulated Training Camps |
title | Blood-Borne Markers of Fatigue in Competitive Athletes – Results from Simulated Training Camps |
title_full | Blood-Borne Markers of Fatigue in Competitive Athletes – Results from Simulated Training Camps |
title_fullStr | Blood-Borne Markers of Fatigue in Competitive Athletes – Results from Simulated Training Camps |
title_full_unstemmed | Blood-Borne Markers of Fatigue in Competitive Athletes – Results from Simulated Training Camps |
title_short | Blood-Borne Markers of Fatigue in Competitive Athletes – Results from Simulated Training Camps |
title_sort | blood-borne markers of fatigue in competitive athletes – results from simulated training camps |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4758695/ https://www.ncbi.nlm.nih.gov/pubmed/26891051 http://dx.doi.org/10.1371/journal.pone.0148810 |
work_keys_str_mv | AT heckstedenanne bloodbornemarkersoffatigueincompetitiveathletesresultsfromsimulatedtrainingcamps AT skorskisabrina bloodbornemarkersoffatigueincompetitiveathletesresultsfromsimulatedtrainingcamps AT schwindlingsascha bloodbornemarkersoffatigueincompetitiveathletesresultsfromsimulatedtrainingcamps AT hammesdaniel bloodbornemarkersoffatigueincompetitiveathletesresultsfromsimulatedtrainingcamps AT pfeiffermark bloodbornemarkersoffatigueincompetitiveathletesresultsfromsimulatedtrainingcamps AT kellmannmichael bloodbornemarkersoffatigueincompetitiveathletesresultsfromsimulatedtrainingcamps AT ferrautialexander bloodbornemarkersoffatigueincompetitiveathletesresultsfromsimulatedtrainingcamps AT meyertim bloodbornemarkersoffatigueincompetitiveathletesresultsfromsimulatedtrainingcamps |