Training-Load Management Ambiguities and Weak Logic: Creating Potential Consequences in Sport Training and Performance.

accelerometer causality open science prediction

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:
10 Sep 2024
Historique:
received: 05 04 2024
revised: 12 07 2024
accepted: 15 07 2024
medline: 11 9 2024
pubmed: 11 9 2024
entrez: 10 9 2024
Statut: aheadofprint

Résumé

The optimization of athlete training load is not a new concept; however in recent years, the concept of "load management" is one of the most widely studied and divisive topics in sports science and medicine. Discuss the challenges faced by sports when utilizing training load monitoring and management, with a specific focus on the use of data to inform load management guidelines and policies/mandates, their consequences, and how we move this field forward. While guidelines can theoretically help protect athletes, overzealous and overcautious guidelines may restrict an athlete's preparedness, negatively influence performance, and increase injury risk. Poor methods, wrong interpretation of study findings, and faulty logic do not allow for systematic scientific evaluations to inform guidelines. Practical Solutions: Guidelines and mandates should be developed through a systematic research process with stronger research designs and clear research questions. Collaborating with statistical and epidemiological experts is essential. Implementing open science principles and sharing all sports training load data increase transparency and allow for more rapid and valid advancements in knowledge. Practitioners should incorporate multiple data streams and consider individual athlete responses, rather than applying broad guidelines based on average data. Many current training load guidelines and mandates in sports come from good intentions; however, they are arbitrary without sound knowledge of the underlying scientific principles or methods. Common sense guidelines are helpful when there is sparse literature, but they should be careful to avoid arbitrarily choosing findings from weak research. Without precise scientific inquiries, implementing training load interventions or guidelines can have negative implications.

Sections du résumé

BACKGROUND BACKGROUND
The optimization of athlete training load is not a new concept; however in recent years, the concept of "load management" is one of the most widely studied and divisive topics in sports science and medicine.
PURPOSE OBJECTIVE
Discuss the challenges faced by sports when utilizing training load monitoring and management, with a specific focus on the use of data to inform load management guidelines and policies/mandates, their consequences, and how we move this field forward.
CHALLENGES CONCLUSIONS
While guidelines can theoretically help protect athletes, overzealous and overcautious guidelines may restrict an athlete's preparedness, negatively influence performance, and increase injury risk. Poor methods, wrong interpretation of study findings, and faulty logic do not allow for systematic scientific evaluations to inform guidelines. Practical Solutions: Guidelines and mandates should be developed through a systematic research process with stronger research designs and clear research questions. Collaborating with statistical and epidemiological experts is essential. Implementing open science principles and sharing all sports training load data increase transparency and allow for more rapid and valid advancements in knowledge. Practitioners should incorporate multiple data streams and consider individual athlete responses, rather than applying broad guidelines based on average data.
CONCLUSION CONCLUSIONS
Many current training load guidelines and mandates in sports come from good intentions; however, they are arbitrary without sound knowledge of the underlying scientific principles or methods. Common sense guidelines are helpful when there is sparse literature, but they should be careful to avoid arbitrarily choosing findings from weak research. Without precise scientific inquiries, implementing training load interventions or guidelines can have negative implications.

Identifiants

pubmed: 39255956
doi: 10.1123/ijspp.2024-0158
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-4

Auteurs

Stephen West (S)

Centre for Health and Injury and Illness Prevention in Sport, Department of Health, University of Bath, Bath, United Kingdom.
UK Collaborating Centre on Injury and Illness Prevention in Sport, University of Bath, Bath, United Kingdom.
Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada.

Ian Shrier (I)

Centre for Clinical Epidemiology, Lady Davis Institute, McGill University, Montreal, QC, Canada.

Franco M Impellizzeri (FM)

School of Sport, Exercise, and Rehabilitation, University of Technology Sydney, Sydney, NSW, Australia.

Jo Clubb (J)

Global Performance Insight Ltd, London, United Kingdom.

Patrick Ward (P)

Seattle Seahawks, Seattle, WA, USA.

Garrett Bullock (G)

Department of Orthopaedic Surgery & Rehabilitation, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Centre for Sport, Exercise and Osteoarthritis Research Versus Arthritis, University of Oxford, Oxford, United Kingdom.

Classifications MeSH