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Running Performance Variability among Runners from Different Brazilian States: A Multilevel Approach

The ecological model theory highlights that human development (or a given behavior) is the result of the interaction of variables derived from different levels, comprising those directly related to the subjects and those related to the environment. Given that, the purpose of this study is to establi...

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Autores principales: Thuany, Mabliny, Gomes, Thayse Natacha, Hill, Lee, Rosemann, Thomas, Knechtle, Beat, Almeida, Marcos B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8038602/
https://www.ncbi.nlm.nih.gov/pubmed/33916357
http://dx.doi.org/10.3390/ijerph18073781
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author Thuany, Mabliny
Gomes, Thayse Natacha
Hill, Lee
Rosemann, Thomas
Knechtle, Beat
Almeida, Marcos B.
author_facet Thuany, Mabliny
Gomes, Thayse Natacha
Hill, Lee
Rosemann, Thomas
Knechtle, Beat
Almeida, Marcos B.
author_sort Thuany, Mabliny
collection PubMed
description The ecological model theory highlights that human development (or a given behavior) is the result of the interaction of variables derived from different levels, comprising those directly related to the subjects and those related to the environment. Given that, the purpose of this study is to establish whether runners’ performance may vary among different Brazilian states, as the factors associated with this difference. The sample comprised 1151 Brazilian runners (61.8% men) that completed an online questionnaire, providing information about biological (sex, age, height, and weight), training (running pace, frequency and volume/week, and motivation), sociodemographic (place of residence and wage) aspects, and perceptions about the environmental influences on the practice. Information about state variables was obtained from official institutes, and comprised the human development index (HDI), athletics events, and violence index. Multilevel analysis was conducted in HLM software. State-level characteristics explained ≈3% of the total variance in running performance. Of the total variance explained for the individual level, 56.4% was associated with male sex (β = −54.98; p < 0.001), age (β = 1.09; p < 0.001), body mass index (β = 6.86; p < 0.001), economic status (β = 6.23; p = 0.003), the perception of the natural environment (β = 7.58; p = 0.02), training frequency (β = −16.64; p < 0.001), and weekly volume (β = −0.30; p < 0.001). At the state level, only athletics events presented a positive and significant influence on performance. There is a significant role of the environment on the explanation of running performance variability, and given the diversity across states, environmental variables should not be neglected, as they are relevant to the exploration of other variables possibly related to running performance.
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spelling pubmed-80386022021-04-12 Running Performance Variability among Runners from Different Brazilian States: A Multilevel Approach Thuany, Mabliny Gomes, Thayse Natacha Hill, Lee Rosemann, Thomas Knechtle, Beat Almeida, Marcos B. Int J Environ Res Public Health Article The ecological model theory highlights that human development (or a given behavior) is the result of the interaction of variables derived from different levels, comprising those directly related to the subjects and those related to the environment. Given that, the purpose of this study is to establish whether runners’ performance may vary among different Brazilian states, as the factors associated with this difference. The sample comprised 1151 Brazilian runners (61.8% men) that completed an online questionnaire, providing information about biological (sex, age, height, and weight), training (running pace, frequency and volume/week, and motivation), sociodemographic (place of residence and wage) aspects, and perceptions about the environmental influences on the practice. Information about state variables was obtained from official institutes, and comprised the human development index (HDI), athletics events, and violence index. Multilevel analysis was conducted in HLM software. State-level characteristics explained ≈3% of the total variance in running performance. Of the total variance explained for the individual level, 56.4% was associated with male sex (β = −54.98; p < 0.001), age (β = 1.09; p < 0.001), body mass index (β = 6.86; p < 0.001), economic status (β = 6.23; p = 0.003), the perception of the natural environment (β = 7.58; p = 0.02), training frequency (β = −16.64; p < 0.001), and weekly volume (β = −0.30; p < 0.001). At the state level, only athletics events presented a positive and significant influence on performance. There is a significant role of the environment on the explanation of running performance variability, and given the diversity across states, environmental variables should not be neglected, as they are relevant to the exploration of other variables possibly related to running performance. MDPI 2021-04-05 /pmc/articles/PMC8038602/ /pubmed/33916357 http://dx.doi.org/10.3390/ijerph18073781 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Thuany, Mabliny
Gomes, Thayse Natacha
Hill, Lee
Rosemann, Thomas
Knechtle, Beat
Almeida, Marcos B.
Running Performance Variability among Runners from Different Brazilian States: A Multilevel Approach
title Running Performance Variability among Runners from Different Brazilian States: A Multilevel Approach
title_full Running Performance Variability among Runners from Different Brazilian States: A Multilevel Approach
title_fullStr Running Performance Variability among Runners from Different Brazilian States: A Multilevel Approach
title_full_unstemmed Running Performance Variability among Runners from Different Brazilian States: A Multilevel Approach
title_short Running Performance Variability among Runners from Different Brazilian States: A Multilevel Approach
title_sort running performance variability among runners from different brazilian states: a multilevel approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8038602/
https://www.ncbi.nlm.nih.gov/pubmed/33916357
http://dx.doi.org/10.3390/ijerph18073781
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