Relationship between race intensity, rate of perceived exertion and mood states in recreational runners

Authors

DOI:

https://doi.org/10.5585/conssaude.v18n3.11179

Keywords:

Running, Affect, Physical Functional Performance, Exercise, Exercise Test.

Abstract

Introduction: The evaluation of the perception of effort (PE) and mood states of humor (MS) in different intensities of effort, can aid the planning of the training program, minimizing the risk of overtraining and osteomioarticular lesions.
Objective: Evaluated of PE and MS responses in healthy individuals submitted to two distinct 5km run intensities.
Methods: Recreational street runners from the Race Club of the Federal University of Sergipe were submitted to a 5Km test. After the test, all the subjects were submitted to two 5km randomized tests with different intensities the test speed of 5km. Total time, mean velocity, PE, internal load, and force and fatigue parameters were evaluated. Results: The 85% running protocol presented a significant reduction (p<0.001) in the variables mean running velocity, PE and ITC when compared to the 95% protocol. The fatigue variable presented a significant increase (p<0.001) post-effort on 95% protocol, without significant changes in the 85% protocol (p>0.05).
Conclusion: The PE, the internal training load and the fatigue subscale of the BRUMS questionnaire can be used as tools to control and monitor training intensity in 5 km runners.

Downloads

Download data is not yet available.

References

Referências

Halson SL. Monitoring training load to understand fatigue in athletes. Sports Med. 2014;44 Suppl 2:S139-47. doi:10.1007/s40279-014-0253-z

Mujika I. Quantification of Training and Competition Loads in Endurance Sports: Methods and Applications. Int J Sports Physiol Perform. 2017;12(Suppl 2):S29-S217. doi:10.1123/ijspp.2016-0403

Jensen K, Johansen L, Kärkkäinen OP. Economy in track runners and orienteers during path and terrain running. J Sports Sci. 1999;17(12):945-950. doi:10.1080/026404199365335

Ament W, Verkerke GJ. Exercise and fatigue. Sports Med. 2009. doi:10.2165/00007256-200939050-00005

Nakamura FY, Moreira A, Aoki MS. Monitoramento da carga de treinamento: a percepção subjetiva do esforço da sessão é um método confiável? Rev da Educ Física/UEM. 2010. doi:10.4025/reveducfis.v21i1.6713

Foster C, Rodriguez-Marroyo JA, De Koning JJ. Monitoring training loads: The past, the present, and the future. Int J Sports Physiol Perform. 2017. doi:10.1123/IJSPP.2016-0388

Kelly VG, Coutts AJ. Planning and monitoring training loads during the competition phase in team sportd. Strength Cond J. 2007. doi:10.1519/00126548-200708000-00005

Rohlfs ICP de M, Carvalho T de, Rotta TM, Krebs RJ. Aplicação de instrumentos de avaliação de estados de humor na detecção da síndrome do excesso de treinamento. Rev Bras Med do Esporte. 2004;10(2):111-116. doi:10.1590/S1517-86922004000200005

Sties SW, Gonzáles AI, Schmitt Netto A, Wittkof PG, Lima DP, Carvalho T. Validação da escala de humor de brunel para programa de reabilitação cardiovascular. Rev Bras Med do Esporte. 2014;20(4):281-284. doi:10.1590/1517-86922014200401999

Arruda AFS, Moreira A, Nunes JA, Viveiros L, Junior DR, Aoki MS. Monitoramento do nível de estresse de atletas da seleção brasileira de basquetebol feminino durante a preparação para a copa américa 2009. Resvista Bras Med do Esporte. 2013;19(1):44-47.

doi:10.1590/S1517-86922013000100009

Gomes JH, Mendes RR, Polito LFT, Zanetti MC, Bocalini DS, Figueira Junior AJ. Mood State, Body Composition and Physical Performance of Young Basketball Players Through a Competition. J Phys Educ. 2018;29(1):1-12. doi:10.4025/jphyseduc.v29i1.2969

High A. Avaliação de Estados de Humor em Atletas de Tênis e Voleibol Jovens e Adultos de Alto Rendimento. Saúde Transform Soc. 2016;6(2):28-43.

Brandt R, Bevilacqua GG, Andrade A. Perceived Sleep Quality, Mood States, and Their Relationship with Performance among Brazilian Elite Athletes during a Competitive Period. J Strength Cond Res. 2017;31(4):1033-1039. doi:10.1519/JSC.0000000000001551

Kluitenberg B, van der Worp H, Huisstede BMA, et al. The NLstart2run study: Training-related factors associated with running-related injuries in novice runners. J Sci Med Sport. 2016. doi:10.1016/j.jsams.2015.09.006

Frainer DES, De Oliveira FR, Pazin J. Influência da maturação sexual, idade cronológica e índices de crescimento no limiar de lactato e no desempenho da corrida de 20 minutos. Rev Bras Med do Esporte. 2006. doi:10.1590/S1517-86922006000300006

Borg G. Escala de Borg Para Dor e o Esforço Percebido. 1a edição. (Manole, ed.).; 2000.

Fisher G, Schwartz DD, Quindry J, et al. Lymphocyte enzymatic antioxidant responses to oxidative stress following high-intensity interval exercise. 2011:730-737. doi:10.1152/japplphysiol.00575.2010.

Foster C. Monitoring training in athletes with reference to overtraining syndrome. In: Medicine and Science in Sports and Exercise. ; 1998. doi:10.1097/00005768-199807000-00023

Rohlfs ICPDM, Carvalho T De, Rotta TM, Krebs RJ. Aplicação de instrumentos de avaliação de estados de humor na detecção da síndrome do excesso de treinamento. Rev Bras Med do Esporte. 2004;10(2):176-181. doi:10.1590/S1517-86922004000200005

Terry, P.C., Lane A. User Guide for the Brunel Mood Scale (BRUMS). (University of Southern Queensland, ed.).; 2010.

Dancey CP, Reidy J. Estatística Sem Matemática Para Psicologia.; 2006. doi:10.1017/CBO9781107415324.004

Wallace LK, Slattery KM, Coutts AJ. The ecological validity and application of the session-rpe method for quantifying training loads in swimming. J Strength Cond Res. 2009. doi:10.1519/JSC.0b013e3181874512

Alexiou H, Coutts AJ. A comparison of methods used for quantifying internal training load in women soccer players. Int J Sports Physiol Perform. 2008. doi:10.1123/ijspp.3.3.320

Piero DW di, Valverde-Esteve T, Redondo-Castán JC, Pablos-Abella C, Díaz-Pintado JVSA. Effects of work-interval duration and sport specificity on blood lactate concentration, heart rate and perceptual responses during high intensity interval training. PLoS One. 2018. doi:10.1371/journal.pone.0200690

Published

2020-04-14

How to Cite

1.
Gomes JH, Mendes RR, Rica RL, Pitta RM, Battazza RA, Leite G, et al. Relationship between race intensity, rate of perceived exertion and mood states in recreational runners. Cons. Saúde [Internet]. 2020 Apr. 14 [cited 2024 Jul. 17];18(3):301-1. Available from: https://periodicos.uninove.br/saude/article/view/11179

Issue

Section

Artigos