Running towards health: the association of running volume with running-related injuries
Main Author: | |
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Publication Date: | 2020 |
Format: | Master thesis |
Language: | eng |
Source: | Repositório do Centro Universitário Braz Cubas |
Download full: | https://repositorio.cruzeirodosul.edu.br/handle/123456789/881 |
Summary: | Background: Running-related injuries (RRI) may lead to drop out from running practice and reduce the likelihood of keeping up a physically active lifestyle. Training workload could be either a risk or a protective factor for sports-related injuries. The acute:chronic workload ratio (ACWR) is a method that considers the current (i.e., acute workload) sport workload performed by an individual in relation to the workload this individual is prepared for (i.e., chronic workload). Purpose: To investigate the longitudinal association between the ACWR and RRIs. Methods: This is a secondary analysis using a database composed of data from three studies conducted with the same surveillance system in the Netherlands. Longitudinal data were collected biweekly. Bayesian logistic mixed models were used to analyse the data. A time-lag technique was applied to the RRI incidence data to ensure that the running workload was collected before the reporting of the RRIs. The uncoupled ACWR was calculated as the most recent workload divided by the average of the previous three biweekly periods. The model was adjusted for age, sex, body mass index, running experience and previous RRIs. Repeated measurements and cohort samples based on the studies included in this analysis were included as random effects. Results were presented as odds ratio (OR) and the 95% credible interval (95% CrI). Results: The sample was composed of 435 Dutch runners (276 males). Although significant, the relation between RRIs and the ACWR was found to vary from small to moderate (1% to 10%) with a tendency pointing out higher ACWR related to lower RRIs risk. For external workloads calculated using exposition in hours, runners whose ACWR were under 0.65 had a 9% probability of sustaining an RRI (i.e., 0.09 [95% CrI 0.07 to 0.12]). Conclusions: In runners, the ACWR showed an association with RRIs approximately linear and inversely proportional. Being a useful tool indicating injured runners reducing their training workload. |
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Running towards health: the association of running volume with running-related injuriesRunningSports injuriesDecision support techniquesArtificial intelligenceNeural networks (Computer)Machine learningAthletic injuriesSportsRisk managementEndurance trainingCNPQ::CIENCIAS DA SAUDE::FISIOTERAPIA E TERAPIA OCUPACIONALBackground: Running-related injuries (RRI) may lead to drop out from running practice and reduce the likelihood of keeping up a physically active lifestyle. Training workload could be either a risk or a protective factor for sports-related injuries. The acute:chronic workload ratio (ACWR) is a method that considers the current (i.e., acute workload) sport workload performed by an individual in relation to the workload this individual is prepared for (i.e., chronic workload). Purpose: To investigate the longitudinal association between the ACWR and RRIs. Methods: This is a secondary analysis using a database composed of data from three studies conducted with the same surveillance system in the Netherlands. Longitudinal data were collected biweekly. Bayesian logistic mixed models were used to analyse the data. A time-lag technique was applied to the RRI incidence data to ensure that the running workload was collected before the reporting of the RRIs. The uncoupled ACWR was calculated as the most recent workload divided by the average of the previous three biweekly periods. The model was adjusted for age, sex, body mass index, running experience and previous RRIs. Repeated measurements and cohort samples based on the studies included in this analysis were included as random effects. Results were presented as odds ratio (OR) and the 95% credible interval (95% CrI). Results: The sample was composed of 435 Dutch runners (276 males). Although significant, the relation between RRIs and the ACWR was found to vary from small to moderate (1% to 10%) with a tendency pointing out higher ACWR related to lower RRIs risk. For external workloads calculated using exposition in hours, runners whose ACWR were under 0.65 had a 9% probability of sustaining an RRI (i.e., 0.09 [95% CrI 0.07 to 0.12]). Conclusions: In runners, the ACWR showed an association with RRIs approximately linear and inversely proportional. Being a useful tool indicating injured runners reducing their training workload.Objectives: To develop an artificial intelligence (AI) algorithm in order to identify running-related injury (RRI) risk profiles in recreational runners, and to investigate the internal validity of such algorithm. Methods: This was a 3-step AI study using data from a prospective cohort study. In step 1, variable selection and exploratory analyses were conducted in the original (n=191) and simulated data (n=5000). In step 2, the AI algorithm was developed using machine learning techniques (selforganising maps, k-means and probabilistic neural network). The algorithm was trained in 80% (n=4000) of the simulated data, and the internal validity was investigated applying the algorithm in the remaining 20% (n=1000). The characterisation of RRI risk profiles was performed in step 3. Results: Four out of eight variables included in the algorithm were considered the main classification features: sex; running intensity; history of RRIs; and current musculoskeletal complaints or discomfort related to running Five groups were suggested by the AI algorithm. Male runners reporting previous RRIs and running in low-to-moderate intensities (>6 min/km) were at the highest risk of RRIs. Male runners reporting previous RRIs and running in high intensities (3 to 5 min/km) in about 32.1% of the time were at the lowest risk of RRIs. The accuracy of the RRI risk algorithm presented a median of 99.6% (25% to 75% interquartile range 99.5% to 99.8%). Conclusions: An AI algorithm was successfully developed and was able to correctly classify more than 99% of the runners in five RRI risk profiles.Universidade Cidade de São PauloBrasilPós-GraduaçãoPrograma de Pós-Graduação de Mestrado em FisioterapiaUNICIDHespanhol Junior, Luiz Carloshttps://orcid.org/0000-0003-1774-4746http://lattes.cnpq.br/5224710039315770Nakaoka, Gustavo Bezerra2020-08-04T14:41:17Z2020-08-04T14:41:17Z2020-05-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfNAKAOKA, Gustavo Bezerra. Running towards health: the association of running volume with running-related injuries. Orientador: Luiz Carlos Hespanhol Junior. 2020. 80f. Dissertação (Mestrado em Fisioterapia) - Universidade Cidade de São Paulo. 2020.https://repositorio.cruzeirodosul.edu.br/handle/123456789/881enginfo:eu-repo/semantics/openAccessreponame:Repositório do Centro Universitário Braz Cubasinstname:Centro Universitário Braz Cubas (CUB)instacron:CUB2020-08-04T14:46:19Zoai:repositorio.cruzeirodosul.edu.br:123456789/881Repositório InstitucionalPUBhttps://repositorio.brazcubas.edu.br/oai/requestbibli@brazcubas.edu.bropendoar:2020-08-04T14:46:19Repositório do Centro Universitário Braz Cubas - Centro Universitário Braz Cubas (CUB)false |
dc.title.none.fl_str_mv |
Running towards health: the association of running volume with running-related injuries |
title |
Running towards health: the association of running volume with running-related injuries |
spellingShingle |
Running towards health: the association of running volume with running-related injuries Nakaoka, Gustavo Bezerra Running Sports injuries Decision support techniques Artificial intelligence Neural networks (Computer) Machine learning Athletic injuries Sports Risk management Endurance training CNPQ::CIENCIAS DA SAUDE::FISIOTERAPIA E TERAPIA OCUPACIONAL |
title_short |
Running towards health: the association of running volume with running-related injuries |
title_full |
Running towards health: the association of running volume with running-related injuries |
title_fullStr |
Running towards health: the association of running volume with running-related injuries |
title_full_unstemmed |
Running towards health: the association of running volume with running-related injuries |
title_sort |
Running towards health: the association of running volume with running-related injuries |
author |
Nakaoka, Gustavo Bezerra |
author_facet |
Nakaoka, Gustavo Bezerra |
author_role |
author |
dc.contributor.none.fl_str_mv |
Hespanhol Junior, Luiz Carlos https://orcid.org/0000-0003-1774-4746 http://lattes.cnpq.br/5224710039315770 |
dc.contributor.author.fl_str_mv |
Nakaoka, Gustavo Bezerra |
dc.subject.por.fl_str_mv |
Running Sports injuries Decision support techniques Artificial intelligence Neural networks (Computer) Machine learning Athletic injuries Sports Risk management Endurance training CNPQ::CIENCIAS DA SAUDE::FISIOTERAPIA E TERAPIA OCUPACIONAL |
topic |
Running Sports injuries Decision support techniques Artificial intelligence Neural networks (Computer) Machine learning Athletic injuries Sports Risk management Endurance training CNPQ::CIENCIAS DA SAUDE::FISIOTERAPIA E TERAPIA OCUPACIONAL |
description |
Background: Running-related injuries (RRI) may lead to drop out from running practice and reduce the likelihood of keeping up a physically active lifestyle. Training workload could be either a risk or a protective factor for sports-related injuries. The acute:chronic workload ratio (ACWR) is a method that considers the current (i.e., acute workload) sport workload performed by an individual in relation to the workload this individual is prepared for (i.e., chronic workload). Purpose: To investigate the longitudinal association between the ACWR and RRIs. Methods: This is a secondary analysis using a database composed of data from three studies conducted with the same surveillance system in the Netherlands. Longitudinal data were collected biweekly. Bayesian logistic mixed models were used to analyse the data. A time-lag technique was applied to the RRI incidence data to ensure that the running workload was collected before the reporting of the RRIs. The uncoupled ACWR was calculated as the most recent workload divided by the average of the previous three biweekly periods. The model was adjusted for age, sex, body mass index, running experience and previous RRIs. Repeated measurements and cohort samples based on the studies included in this analysis were included as random effects. Results were presented as odds ratio (OR) and the 95% credible interval (95% CrI). Results: The sample was composed of 435 Dutch runners (276 males). Although significant, the relation between RRIs and the ACWR was found to vary from small to moderate (1% to 10%) with a tendency pointing out higher ACWR related to lower RRIs risk. For external workloads calculated using exposition in hours, runners whose ACWR were under 0.65 had a 9% probability of sustaining an RRI (i.e., 0.09 [95% CrI 0.07 to 0.12]). Conclusions: In runners, the ACWR showed an association with RRIs approximately linear and inversely proportional. Being a useful tool indicating injured runners reducing their training workload. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-08-04T14:41:17Z 2020-08-04T14:41:17Z 2020-05-06 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
NAKAOKA, Gustavo Bezerra. Running towards health: the association of running volume with running-related injuries. Orientador: Luiz Carlos Hespanhol Junior. 2020. 80f. Dissertação (Mestrado em Fisioterapia) - Universidade Cidade de São Paulo. 2020. https://repositorio.cruzeirodosul.edu.br/handle/123456789/881 |
identifier_str_mv |
NAKAOKA, Gustavo Bezerra. Running towards health: the association of running volume with running-related injuries. Orientador: Luiz Carlos Hespanhol Junior. 2020. 80f. Dissertação (Mestrado em Fisioterapia) - Universidade Cidade de São Paulo. 2020. |
url |
https://repositorio.cruzeirodosul.edu.br/handle/123456789/881 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Cidade de São Paulo Brasil Pós-Graduação Programa de Pós-Graduação de Mestrado em Fisioterapia UNICID |
publisher.none.fl_str_mv |
Universidade Cidade de São Paulo Brasil Pós-Graduação Programa de Pós-Graduação de Mestrado em Fisioterapia UNICID |
dc.source.none.fl_str_mv |
reponame:Repositório do Centro Universitário Braz Cubas instname:Centro Universitário Braz Cubas (CUB) instacron:CUB |
instname_str |
Centro Universitário Braz Cubas (CUB) |
instacron_str |
CUB |
institution |
CUB |
reponame_str |
Repositório do Centro Universitário Braz Cubas |
collection |
Repositório do Centro Universitário Braz Cubas |
repository.name.fl_str_mv |
Repositório do Centro Universitário Braz Cubas - Centro Universitário Braz Cubas (CUB) |
repository.mail.fl_str_mv |
bibli@brazcubas.edu.br |
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