10 km running performance predicted by a multiple linear regression model with allometrically adjusted variables (2016)
- Authors:
- USP affiliated authors: PIRES, FLÁVIO DE OLIVEIRA - EACH ; BERTUZZI, RÔMULO CÁSSIO DE MORAES - EEFE
- Unidades: EACH; EEFE
- DOI: 10.1515/hukin-2015-0182
- Subjects: FISIOLOGIA DO EXERCÍCIO; DESEMPENHO ESPORTIVO; CORRIDAS
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Human Kinetics
- ISSN: 1640-5544
- Volume/Número/Paginação/Ano: v. 51, p. 193-200, 2016
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by-nc-nd
-
ABNT
ABAD, César Cavinato Cal et al. 10 km running performance predicted by a multiple linear regression model with allometrically adjusted variables. Journal of Human Kinetics, v. 51, p. 193-200, 2016Tradução . . Disponível em: https://doi.org/10.1515/hukin-2015-0182. Acesso em: 19 abr. 2024. -
APA
Abad, C. C. C., Barros, R. V., Bertuzzi, R. C. de M., Gagliardi, J. F. L., Silva, A. E. L., Lambert, M. I., & Pires, F. de O. (2016). 10 km running performance predicted by a multiple linear regression model with allometrically adjusted variables. Journal of Human Kinetics, 51, 193-200. doi:10.1515/hukin-2015-0182 -
NLM
Abad CCC, Barros RV, Bertuzzi RC de M, Gagliardi JFL, Silva AEL, Lambert MI, Pires F de O. 10 km running performance predicted by a multiple linear regression model with allometrically adjusted variables [Internet]. Journal of Human Kinetics. 2016 ; 51 193-200.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1515/hukin-2015-0182 -
Vancouver
Abad CCC, Barros RV, Bertuzzi RC de M, Gagliardi JFL, Silva AEL, Lambert MI, Pires F de O. 10 km running performance predicted by a multiple linear regression model with allometrically adjusted variables [Internet]. Journal of Human Kinetics. 2016 ; 51 193-200.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1515/hukin-2015-0182 - Allometric scale corrects performance outcomes in special judo fitness test
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Informações sobre o DOI: 10.1515/hukin-2015-0182 (Fonte: oaDOI API)
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