Literature DB >> 24552797

A comparison of workload quantification methods in relation to physiological responses to resistance exercise.

Kyle M Genner1, Matthew Weston.   

Abstract

The purpose of this study was to (a) assess the usefulness of volume load (VL), session rate of perceived exertion (SRPE), RPE load (RPEL), and a modified RPEL (RPEL-2) to estimate internal load from resistance exercise (RE) and (b) further assess the interactions between SRPE, VL, and RE intensity. Twelve healthy men (25 ± 4 years) completed RE sessions at 55, 70, and 85 1 repetition maximum (1RM). Volume load, SRPE, RPEL, and RPEL-2 for each session were calculated, compared, and correlated with change values (Δ) for blood lactate and salivary cortisol. There were substantial increases in all measures of training load with progressive decreases in %1RM. There were clear substantial increases in Δ lactate and Δ cortisol after RE at 55% 1RM when compared with 70 and 85%. Within-subject correlations with Δ cortisol were small with SRPE (r = 0.25; 90% confidence limits; ±0.32), RPEL (r = 0.23; ±0.32), RPEL-2 (r = 0.19; ±0.32), and trivial for VL (r = 0.01; ±0.28). Correlations with Δ lactate were moderate with VL (r = 0.42; ±0.29) and RPEL-2 (r = 0.38; ±0.29), and small with SRPE (r = 0.25; ±0.32) and RPEL (r = 0.25; ±0.32). Correlation between SRPE and VL was large (r = 0.55; ±0.25). Although Δ lactate and Δ cortisol did not follow the same trends as measures of workload, VL may be superior to estimate internal load from RE, particularly when measured through Δ lactate. When viewing training load globally, RPEL-2 may offer the greatest advantage. Finally, our results suggest that SRPE seems to be more closely related to VL than %1RM.

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Year:  2014        PMID: 24552797     DOI: 10.1519/JSC.0000000000000432

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  9 in total

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2.  ENERGY SYSTEM DEVELOPMENT AND LOAD MANAGEMENT THROUGH THE REHABILITATION AND RETURN TO PLAY PROCESS.

Authors:  Scot Morrison; Patrick Ward; Gregory R duManoir
Journal:  Int J Sports Phys Ther       Date:  2017-08

3.  Tri-Set Training System Induces a High Muscle Swelling with Short Time Commitment in Resistance-Trained Subjects: A Cross-Over Study.

Authors:  Júlio B B DE Camargo; Rafael S Zaroni; Antônio C T Júnior; Thiago P DE Oliveira; Thiago B Trindade; Charles R Lopes; Felipe A Brigatto
Journal:  Int J Exerc Sci       Date:  2022-04-01

4.  Relationship between perceived exertion and blood lactate concentrations during incremental running test in young females.

Authors:  Daijiro Abe; Takayoshi Yoshida; Hatsumi Ueoka; Koji Sugiyama; Yoshiyuki Fukuoka
Journal:  BMC Sports Sci Med Rehabil       Date:  2015-01-22

5.  A comparison of traditional and novel metrics to quantify resistance training.

Authors:  Kieran J Marston; Jeremiah J Peiffer; Michael J Newton; Brendan R Scott
Journal:  Sci Rep       Date:  2017-07-17       Impact factor: 4.379

6.  Heavier- and lighter-load isolated lumbar extension resistance training produce similar strength increases, but different perceptual responses, in healthy males and females.

Authors:  James P Fisher; Charlotte Stuart; James Steele; Paulo Gentil; Jürgen Giessing
Journal:  PeerJ       Date:  2018-11-22       Impact factor: 2.984

7.  Convergent Validity of Ratings of Perceived Exertion During Resistance Exercise in Healthy Participants: A Systematic Review and Meta-Analysis.

Authors:  John W D Lea; Jamie M O'Driscoll; Sabina Hulbert; James Scales; Jonathan D Wiles
Journal:  Sports Med Open       Date:  2022-01-08

8.  The Use of Session RPE to Monitor the Intensity of Weight Training in Older Women: Acute Responses to Eccentric, Concentric, and Dynamic Exercises.

Authors:  Sandro S Ferreira; Kleverton Krinski; Ragami C Alves; Mariana L Benites; Paulo E Redkva; Hassan M Elsangedy; Cosme F Buzzachera; Tácito P Souza-Junior; Sergio G da Silva
Journal:  J Aging Res       Date:  2014-04-13

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Journal:  J Phys Ther Sci       Date:  2016-04-28
  9 in total

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