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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

The influence of peripheral afferent signals on the rating of perceived exertion and time to exhaustion during exercise at different intensities

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Autor(es):
Pires, Flavio O. [1] ; Lima-Silva, Adriano E. [2] ; Bertuzzi, Romulo [1] ; Casarini, Dulce H. [3] ; Kiss, Maria Augusta P. D. M. [1] ; Lambert, Mike I. [4, 5] ; Noakes, Timothy D. [4, 5]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Sch Phys Educ & Sport, BR-05508030 Sao Paulo - Brazil
[2] Fed Univ Alagoas UFAL, Sports Sci Res Grp, Maceio - Brazil
[3] Univ Fed Sao Paulo, Div Nephrol, Hosp Kidney & Hypertens, Sao Paulo - Brazil
[4] Univ Cape Town, MRC UCT Res Unit Exercise Sci & Sports Med, ZA-7725 Newlands - South Africa
[5] Univ Cape Town, Sports Sci Inst South Africa, ZA-7725 Newlands - South Africa
Número total de Afiliações: 5
Tipo de documento: Artigo Científico
Fonte: PSYCHOPHYSIOLOGY; v. 48, n. 9, p. 1284-1290, SEP 2011.
Citações Web of Science: 19
Resumo

This study determined which peripheral variables would better predict the rating of perceived exertion (RPE) and time to exhaustion (TE) during exercise at different intensities. Ten men performed exercises at first lactate threshold (LT1), second lactate threshold (LT2), 50% of the distance from LT1 to LT2 (TT(50%)), and 25% of the distance from LT2 to maximal power output (TW(25%)). Lactate, catecholamines, potassium, pH, glucose, (V) over dotO(2), VE, HR, respiratory rate (RR) and RPE were measured and plotted against the exercise duration for the slope calculation. Glucose, dopamine, and noradrenaline predicted RPE in TT(50%) (88%), LT2 (64%), and TW(25%) (77%), but no variable predicted RPE in LT1. RPE (55%), RPE+HR (86%), and RPE+RR (92% and 55%) predicted TE in LT1, TT(50%), LT2, and TW(25%), respectively. At intensities from TT(50%) to TW(25%), variables associated with brain activity seem to explain most of the RPE slope, and RPE (+HR and+RR) seems to predict the TE. (AU)

Processo FAPESP: 06/60641-6 - Estado dinâmico metabólico durante cargas constantes em cicloergômetro
Beneficiário:Maria Augusta Peduti Dal Molin Kiss
Modalidade de apoio: Auxílio à Pesquisa - Regular