Antidoping 2.0: Is Adding Power-Output Data to the Antidoping Pool the Next Step? Experts' Viewpoint.

athlete biological passport endurance performance power meter

Journal

International journal of sports physiology and performance
ISSN: 1555-0273
Titre abrégé: Int J Sports Physiol Perform
Pays: United States
ID NLM: 101276430

Informations de publication

Date de publication:
06 Sep 2024
Historique:
received: 01 03 2024
revised: 17 05 2024
accepted: 08 07 2024
medline: 8 9 2024
pubmed: 8 9 2024
entrez: 7 9 2024
Statut: aheadofprint

Résumé

Efforts are needed to improve antidoping procedures. The widespread use of power meters among cyclists could help in this regard. However, controversy exists on whether performance monitoring through power-output data could be of help for antidoping purposes. The objective of the present study was to provide insight into the feasibility and utility of implementing power-based performance monitoring in elite cycling. An expert panel of 15 applied sport scientists and professional cycling coaches were asked for their opinions and perspectives on incorporating power data into the antidoping risk-assessment process. Two different viewpoints were identified from the responses provided by the experts. Some believed that power monitoring could be implemented as an antidoping tool, provided that several surmountable challenges are first addressed. These authors provided suggestions related to the potential practical implementation of such measures. Others, on the contrary, believed that power meters lack sufficient reliability and suggest that the professional cycling world presents conflicts of interest that make this intervention impossible to implement nowadays. The debate around the utility of power-meter data in the antidoping fight has been ongoing for more than a decade. According to the opinions provided by the experts' panel, there is still no consensus on the real utility and practical implementation of this intervention.

Sections du résumé

BACKGROUND BACKGROUND
Efforts are needed to improve antidoping procedures. The widespread use of power meters among cyclists could help in this regard. However, controversy exists on whether performance monitoring through power-output data could be of help for antidoping purposes.
PURPOSE OBJECTIVE
The objective of the present study was to provide insight into the feasibility and utility of implementing power-based performance monitoring in elite cycling. An expert panel of 15 applied sport scientists and professional cycling coaches were asked for their opinions and perspectives on incorporating power data into the antidoping risk-assessment process.
RESULTS RESULTS
Two different viewpoints were identified from the responses provided by the experts. Some believed that power monitoring could be implemented as an antidoping tool, provided that several surmountable challenges are first addressed. These authors provided suggestions related to the potential practical implementation of such measures. Others, on the contrary, believed that power meters lack sufficient reliability and suggest that the professional cycling world presents conflicts of interest that make this intervention impossible to implement nowadays.
CONCLUSIONS CONCLUSIONS
The debate around the utility of power-meter data in the antidoping fight has been ongoing for more than a decade. According to the opinions provided by the experts' panel, there is still no consensus on the real utility and practical implementation of this intervention.

Identifiants

pubmed: 39244192
doi: 10.1123/ijspp.2024-0088
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-4

Auteurs

Sebastian Sitko (S)

Faculty of Health and Sport Sciences, University of Zaragoza, Huesca, Spain.

Pedro Valenzuela (P)

Department of Systems Biology, University of Alcalá, Alcala de Henares, Spain.
Physical Activity and Health Research Group (PaHerg), Alcala de Henares, Spain.

Nathan Townsend (N)

College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar.

Marco Pinotti (M)

Team Jayco Alula, Sidney, NSW, Australia.

Mikel Zabala (M)

Faculty of Sport Sciences, University of Granada, Granada, Spain.

Xabier Artetxe (X)

Faculty of Sport Sciences, University of the Basque Country, Vitoria-Gasteiz, Spain.

Gabriele Gallo (G)

Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Università degli Studi di Genova, Genoa, Italy.
Centro Polifunzionale di Scienze Motore, University of Genoa, Genoa, Italy.

Manuel Mateo-March (M)

Faculty of Sport Sciences, European University, San Vicente Del Raspeig, Spain.
Department of Sport Sciences, Miguel Hernández University, Elche, Spain.

Dajo Sanders (D)

Department of Human Movement Science, Maastricht University, Maastricht, the Netherlands.

Frédéric Grappe (F)

Team Groupama FDJ, Besancon, France.

David C Clarke (DC)

Department of Biomedical Physiology & Kinesiology, Simon Fraser University, Burnaby, BC, Canada.

Teun van Erp (T)

Team Tudor Pro Cycling, Nistelrode, the Netherlands.

Aitor Viribay (A)

Physiology, Nutrition and Sports, Glut4science, Vitoria-Gasteiz, Spain.
Institute of Biomedicine, University of León, Leon, Spain.

Classifications MeSH