Comparison between measured and predicted resting metabolic rate equations in cross-training practitioners (2024)
- Authors:
- Autor USP: SILVA, BRENO GABRIEL DA - ESALQ
- Unidade: ESALQ
- DOI: 10.3390/ijerph21070891
- Subjects: EXERCÍCIO FÍSICO; METABOLISMO ENERGÉTICO; TREINAMENTO FÍSICO
- Keywords: Calorimetria; Treinamento funcional extremo
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: International Journal of Environmental Research and Public Health
- ISSN: 1660-4601
- Volume/Número/Paginação/Ano: v. 21, art. 891, p. 1-14, 2024
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
SORDI, Ana Flávia et al. Comparison between measured and predicted resting metabolic rate equations in cross-training practitioners. International Journal of Environmental Research and Public Health, v. 21, p. 1-14, 2024Tradução . . Disponível em: https://doi.org/10.3390/ijerph21070891. Acesso em: 27 dez. 2025. -
APA
Sordi, A. F., Silva, B. F., Silva, B. G. da, Marques, D. C. de S., Ramos, I. M., Camilo, M. L. A., et al. (2024). Comparison between measured and predicted resting metabolic rate equations in cross-training practitioners. International Journal of Environmental Research and Public Health, 21, 1-14. doi:10.3390/ijerph21070891 -
NLM
Sordi AF, Silva BF, Silva BG da, Marques DC de S, Ramos IM, Camilo MLA, Mota J, Valdés-Badilla P, Peres SB, Branco BHM. Comparison between measured and predicted resting metabolic rate equations in cross-training practitioners [Internet]. International Journal of Environmental Research and Public Health. 2024 ; 21 1-14.[citado 2025 dez. 27 ] Available from: https://doi.org/10.3390/ijerph21070891 -
Vancouver
Sordi AF, Silva BF, Silva BG da, Marques DC de S, Ramos IM, Camilo MLA, Mota J, Valdés-Badilla P, Peres SB, Branco BHM. Comparison between measured and predicted resting metabolic rate equations in cross-training practitioners [Internet]. International Journal of Environmental Research and Public Health. 2024 ; 21 1-14.[citado 2025 dez. 27 ] Available from: https://doi.org/10.3390/ijerph21070891 - Generalized linear models and extensions for analyzing height-diameter, taper, and biomass data in managed forest stands
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Informações sobre o DOI: 10.3390/ijerph21070891 (Fonte: oaDOI API)
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