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Understanding Training Load as Exposure and Dose
Various terms used in sport and exercise science, and medicine, are derived from other fields such as epidemiology, pharmacology and causal inference. Conceptual and nomological frameworks have described training load as a multidimensional construct manifested by two causally related subdimensions:...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432367/ https://www.ncbi.nlm.nih.gov/pubmed/37022589 http://dx.doi.org/10.1007/s40279-023-01833-0 |
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author | Impellizzeri, Franco M. Shrier, Ian McLaren, Shaun J. Coutts, Aaron J. McCall, Alan Slattery, Katie Jeffries, Annie C. Kalkhoven, Judd T. |
author_facet | Impellizzeri, Franco M. Shrier, Ian McLaren, Shaun J. Coutts, Aaron J. McCall, Alan Slattery, Katie Jeffries, Annie C. Kalkhoven, Judd T. |
author_sort | Impellizzeri, Franco M. |
collection | PubMed |
description | Various terms used in sport and exercise science, and medicine, are derived from other fields such as epidemiology, pharmacology and causal inference. Conceptual and nomological frameworks have described training load as a multidimensional construct manifested by two causally related subdimensions: external and internal training load. In this article, we explain how the concepts of training load and its subdimensions can be aligned to classifications used in occupational medicine and epidemiology, where exposure can also be differentiated into external and internal dose. The meanings of terms used in epidemiology such as exposure, external dose, internal dose and dose–response are therefore explored from a causal perspective and their underlying concepts are contextualised to the physical training process. We also explain how these concepts can assist in the validation process of training load measures. Specifically, to optimise training (i.e. within a causal context), a measure of exposure should be reflective of the mediating mechanisms of the primary outcome. Additionally, understanding the difference between intermediate and surrogate outcomes allows for the correct investigation of the effects of exposure measures and their interpretation in research and applied settings. Finally, whilst the dose–response relationship can provide evidence of the validity of a measure, conceptual and computational differentiation between causal (explanatory) and non-causal (descriptive and predictive) dose–response relationships is needed. Regardless of how sophisticated or “advanced” a training load measure (and metric) appears, in a causal context, if it cannot be connected to a plausible mediator of a relevant response (outcome), it is likely of little use in practice to support and optimise the training process. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40279-023-01833-0. |
format | Online Article Text |
id | pubmed-10432367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-104323672023-08-18 Understanding Training Load as Exposure and Dose Impellizzeri, Franco M. Shrier, Ian McLaren, Shaun J. Coutts, Aaron J. McCall, Alan Slattery, Katie Jeffries, Annie C. Kalkhoven, Judd T. Sports Med Current Opinion Various terms used in sport and exercise science, and medicine, are derived from other fields such as epidemiology, pharmacology and causal inference. Conceptual and nomological frameworks have described training load as a multidimensional construct manifested by two causally related subdimensions: external and internal training load. In this article, we explain how the concepts of training load and its subdimensions can be aligned to classifications used in occupational medicine and epidemiology, where exposure can also be differentiated into external and internal dose. The meanings of terms used in epidemiology such as exposure, external dose, internal dose and dose–response are therefore explored from a causal perspective and their underlying concepts are contextualised to the physical training process. We also explain how these concepts can assist in the validation process of training load measures. Specifically, to optimise training (i.e. within a causal context), a measure of exposure should be reflective of the mediating mechanisms of the primary outcome. Additionally, understanding the difference between intermediate and surrogate outcomes allows for the correct investigation of the effects of exposure measures and their interpretation in research and applied settings. Finally, whilst the dose–response relationship can provide evidence of the validity of a measure, conceptual and computational differentiation between causal (explanatory) and non-causal (descriptive and predictive) dose–response relationships is needed. Regardless of how sophisticated or “advanced” a training load measure (and metric) appears, in a causal context, if it cannot be connected to a plausible mediator of a relevant response (outcome), it is likely of little use in practice to support and optimise the training process. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40279-023-01833-0. Springer International Publishing 2023-04-06 2023 /pmc/articles/PMC10432367/ /pubmed/37022589 http://dx.doi.org/10.1007/s40279-023-01833-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Current Opinion Impellizzeri, Franco M. Shrier, Ian McLaren, Shaun J. Coutts, Aaron J. McCall, Alan Slattery, Katie Jeffries, Annie C. Kalkhoven, Judd T. Understanding Training Load as Exposure and Dose |
title | Understanding Training Load as Exposure and Dose |
title_full | Understanding Training Load as Exposure and Dose |
title_fullStr | Understanding Training Load as Exposure and Dose |
title_full_unstemmed | Understanding Training Load as Exposure and Dose |
title_short | Understanding Training Load as Exposure and Dose |
title_sort | understanding training load as exposure and dose |
topic | Current Opinion |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432367/ https://www.ncbi.nlm.nih.gov/pubmed/37022589 http://dx.doi.org/10.1007/s40279-023-01833-0 |
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