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InTrack project ˗ Theoretical framework, design, and methods: A study protocol

Sports performance is the result of a complex interaction between individual and environmental factors. The purpose of this paper is to explain the methods used in the InTrack Project, a cross-sectional and cross-cultural project developed to investigate the variance in the performance of runners fr...

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Autores principales: Thuany, Mabliny, Gomes, Thayse Natacha, Weiss, Katja, Scheer, Volker, Hill, Lee, Rolim, Ramiro, Knechtle, Beat, Moura dos Santos, Marcos André
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062547/
https://www.ncbi.nlm.nih.gov/pubmed/36996006
http://dx.doi.org/10.1371/journal.pone.0283157
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author Thuany, Mabliny
Gomes, Thayse Natacha
Weiss, Katja
Scheer, Volker
Hill, Lee
Rolim, Ramiro
Knechtle, Beat
Moura dos Santos, Marcos André
author_facet Thuany, Mabliny
Gomes, Thayse Natacha
Weiss, Katja
Scheer, Volker
Hill, Lee
Rolim, Ramiro
Knechtle, Beat
Moura dos Santos, Marcos André
author_sort Thuany, Mabliny
collection PubMed
description Sports performance is the result of a complex interaction between individual and environmental factors. The purpose of this paper is to explain the methods used in the InTrack Project, a cross-sectional and cross-cultural project developed to investigate the variance in the performance of runners from different countries and to understand whether the differences in the performance can be explained by micro-level (athletes characteristics and proximal environment), meso-level (the distal environment that plays a relevant role on the relationships established at micro-level), and the macro-level (environmental features that shape countries characteristics). The sample will be comprised of runners, of both sexes, from four countries. Data collection will be performed in two steps: i) Individual information and ii) Country-level information. At the individual level, data will be obtained from an online survey. At the country level, characteristics data will be obtained from the secondary data available (demographic, social, and economic variables). Statistical procedures expected to be used include multilevel analysis, latent class analysis, addictive and multiplicative interaction in regression models. This wealth of information is of relevance to fill gaps regarding the existence of variables to connect different levels of information, and to provide scientific support about environmental characteristics important to predict runners’ performance within and between countries.
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spelling pubmed-100625472023-03-31 InTrack project ˗ Theoretical framework, design, and methods: A study protocol Thuany, Mabliny Gomes, Thayse Natacha Weiss, Katja Scheer, Volker Hill, Lee Rolim, Ramiro Knechtle, Beat Moura dos Santos, Marcos André PLoS One Study Protocol Sports performance is the result of a complex interaction between individual and environmental factors. The purpose of this paper is to explain the methods used in the InTrack Project, a cross-sectional and cross-cultural project developed to investigate the variance in the performance of runners from different countries and to understand whether the differences in the performance can be explained by micro-level (athletes characteristics and proximal environment), meso-level (the distal environment that plays a relevant role on the relationships established at micro-level), and the macro-level (environmental features that shape countries characteristics). The sample will be comprised of runners, of both sexes, from four countries. Data collection will be performed in two steps: i) Individual information and ii) Country-level information. At the individual level, data will be obtained from an online survey. At the country level, characteristics data will be obtained from the secondary data available (demographic, social, and economic variables). Statistical procedures expected to be used include multilevel analysis, latent class analysis, addictive and multiplicative interaction in regression models. This wealth of information is of relevance to fill gaps regarding the existence of variables to connect different levels of information, and to provide scientific support about environmental characteristics important to predict runners’ performance within and between countries. Public Library of Science 2023-03-30 /pmc/articles/PMC10062547/ /pubmed/36996006 http://dx.doi.org/10.1371/journal.pone.0283157 Text en © 2023 Thuany et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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 Study Protocol
Thuany, Mabliny
Gomes, Thayse Natacha
Weiss, Katja
Scheer, Volker
Hill, Lee
Rolim, Ramiro
Knechtle, Beat
Moura dos Santos, Marcos André
InTrack project ˗ Theoretical framework, design, and methods: A study protocol
title InTrack project ˗ Theoretical framework, design, and methods: A study protocol
title_full InTrack project ˗ Theoretical framework, design, and methods: A study protocol
title_fullStr InTrack project ˗ Theoretical framework, design, and methods: A study protocol
title_full_unstemmed InTrack project ˗ Theoretical framework, design, and methods: A study protocol
title_short InTrack project ˗ Theoretical framework, design, and methods: A study protocol
title_sort intrack project ˗ theoretical framework, design, and methods: a study protocol
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062547/
https://www.ncbi.nlm.nih.gov/pubmed/36996006
http://dx.doi.org/10.1371/journal.pone.0283157
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