Regulating resistance exercise intensity using perceptual response and the “anticipatory feedback” model

Graduation Date

2015

Document Type

Thesis

Program

Other

Program

Thesis (M.S.)--Humboldt State University, Kinesiology, 2015

Committee Chair Name

Young Sub Kwon

Committee Chair Affiliation

HSU Faculty or Staff

Keywords

Anticipatory feedback, Resistance training, Bench press, Failure, Humboldt State University -- Theses -- Kinesiology, CNS, Central nervous system, RPE, Exercise endpoint

Abstract

PURPOSE: To assess how accurately trained subjects can predict exercise endpoint in resistance training. METHODS: 12 female (age 20.33 ± 1.61 years; height 166.12 ± 3.95 cm; weight 69.99 ±9.76 kg) and 12 male (age 22.17 ± 1.40 years; height 176.83 ± 8.78 cm; weight 82.12 ± 12.91 kg) resistance trained subjects were tested for their one repetition maximum (1-RM) in bench press, and then performed four sets to failure with 65% of 1-RM. Prior to each set subjects predicted how many repetitions they could complete. After each set subjects reported a rating of perceived exertion (RPE) using the 10-point resistance training RPE scale. A repeated measured ANOVA was used to determine differences between predicted and actual repetitions-to-failure. Dependent t-tests were used to analyze differences for each set separately. Spearman's rank correlation was used to determine the relationship between RPE, predicted and actual repetitions-to-failure. RESULTS: The repeated measures ANOVA indicated no significant difference between predicted and actual repetitions-to-failure for both genders (p .05). Significant differences were found across sets for both genders (p .05). Dependent t-tests showed no significant differences between predicted and actual repetitions-to-failure in the last two sets for both genders and in the first set for males (p .0125). Significant differences were found in the first two sets for females and the second set for males (p .0125). No significant correlations were found between predicted repetitions-to-failure and RPE in females (p .05), but in males a negative correlation was present (r = -.538; p .05:). A negative correlation was found for both females (r = -.351; p = .014) and males (r = -.458; p = .001) between actual repetitions-to-failure and RPE. Significant correlations were found between predicted and actual repetitions-to-failure for females (r = .851; p = .000) and males (r = .932; p = .000). (DISCUSSION: Subjects were more accurate in predicting repetitions-to-failure in the last two sets. This can be due to a learning effect, or how many less repetitions were possible due to acute fatigue, making it easier to predict. CONCLUSION: It may be possible to regulate resistance training intensity using a predicted exercise endpoint, but further research is needed.

https://scholarworks.calstate.edu/concern/theses/4q77ft76t

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