Effects of a Learning Trial on Self-Regulation of Exercise

Abstract

Heart rate (HR) and ratings of perceived exertion (RPE) are common exercise intensity regulatory strategies, however, some individuals are unable to use these strategies effectively. Alternative or conjunctive strategies may aid in the transition to self-guided programs. The purpose of the present study was to examine the value of a brief, field-based exercise intensity learning trial on self-regulation of intensity during a weeklong exercise program. Forty-two males were randomly assigned to either a paced learning trial (P) or non-paced control (NP), and then one of three intensity feedback groups: HR, HR + RPE, or no feedback (CONT). The paced trial consisted of an 800-m trial at 75 % of maximal heart rate reserve (MHRR) on day one. Subjects then completed four 800-m trials each day for four days and received feedback on deviation from target HR (THR) after each 800-m trial. Four-way MANOVA (pacing × feedback × trials × days) was used to assess the influence of the learning trial on THR deviation scores across the week. The pacing × feedback × trials interaction was significant (Pillai's Trace = 0.36, ∼ F (6,70) = 2.56, p = 0.03) and thus, the influence of the learning trial was assessed within feedback group. There were no significant differences in THR deviation scores for P vs. NP within the HR or HR + RPE feedback groups. However, P was significantly more accurate then NP (p < 0.05) within the CONT feedback groups during each trial averaged across the week (T₁ = - 2.6 vs. 5.3; T₂ = 2.6 vs. 14.2; T₃ = 4.6 vs. 16.2; T₄ = 5.3 vs. 20.5 beats · min^-1). These results demonstrate that a brief intensity learning trial, in the absence of HR or HR+RPE feedback, provided for accurate self-regulation of vigorous exercise training. These results would support the efficacy of a brief intensity learning trial within the context of transitioning an individual to a self-guided exercise program.

perceived exertion - exercise prescription - exercise testing

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