Effects of a repetition-based rest adjustment strategy on superset training performance and fatigue

This study aimed to validate the feasibility of a repetition-based method for adjusting inter-set rest intervals during superset resistance training (RT). Twenty young adults completed three protocols—fixed (3-min rest), self-selected (participant-determined rest), and repetition-based (rest adjusted by prior repetition count)—in randomized order, performing five agonist–antagonist supersets (bench press and bench pull) at 75% 1RM. Results indicated greater repetition volume in later supersets for the self-selected and repetition-based protocols compared to the fixed protocol (F = 2.1, p = 0.037, ωp 2 = 0.056). However, blood lactate concentrations were significantly higher in the repetition-based protocol compared to both the self-selected and fixed protocols (F = 7.3, p = 0.002, ωp 2 = 0.252). No differences among protocols were found in fastest set velocity or perceived exertion (F = 0.3–2.8, p = 0.077–0.782). Regarding time efficiency, the fixed protocol was most efficient, followed by the repetition-based, with the self-selected protocol being least efficient. These findings indicate that the repetition-based approach offers an effective complementary strategy to traditional fixed and self-selected rest methods, especially in contexts emphasizing mechanical performance and session efficiency.

Authors

Institutions

Publication Details

Journal
International Journal of Sports Science & Coaching
Published
2026-04-13
DOI
https://doi.org/10.1177/17479541261437701
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of a repetition-based rest adjustment strategy on superset training performance and fatigue

Belén, Xing Zhang, Jonathon Weakley, Hui Li et al.
International Journal of Sports Science & Coaching
Sports Performance and Training
article

Effects of a repetition-based rest adjustment strategy on superset training performance and fatigue

Belén, Xing Zhang, Jonathon Weakley, Hui Li, Zhaoqian Li, Zongwei Chen, Andy Junior Schänzle Guarino
article en

Abstract

This study aimed to validate the feasibility of a repetition-based method for adjusting inter-set rest intervals during superset resistance training (RT). Twenty young adults completed three protocols—fixed (3-min rest), self-selected (participant-determined rest), and repetition-based (rest adjusted by prior repetition count)—in randomized order, performing five agonist–antagonist supersets (bench press and bench pull) at 75% 1RM. Results indicated greater repetition volume in later supersets for the self-selected and repetition-based protocols compared to the fixed protocol (F = 2.1, p = 0.037, ωp 2 = 0.056). However, blood lactate concentrations were significantly higher in the repetition-based protocol compared to both the self-selected and fixed protocols (F = 7.3, p = 0.002, ωp 2 = 0.252). No differences among protocols were found in fastest set velocity or perceived exertion (F = 0.3–2.8, p = 0.077–0.782). Regarding time efficiency, the fixed protocol was most efficient, followed by the repetition-based, with the self-selected protocol being least efficient. These findings indicate that the repetition-based approach offers an effective complementary strategy to traditional fixed and self-selected rest methods, especially in contexts emphasizing mechanical performance and session efficiency.

International Journal of Sports Science & Coaching
Universidad de Granada (ES), University of Münster (DE), Sichuan Agricultural University (CN), Universidad Católica de la Santísima Concepción (CL), Leeds Beckett University (GB), Australian Catholic University (AU)
Openalex Percentile: Top 18%
Sports Performance and Training
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.