Evidence map›Paper›PMID 39205815›Full record

SynthesisFrontiers in sports and active living2024

Give it a rest: a systematic review with Bayesian meta-analysis on the effect of inter-set rest interval duration on muscle hypertrophy.

Alec Singer, Milo Wolf, Leonardo Generoso, Elizabeth Arias, Kenneth Delcastillo, Edwin Echevarria, Amaris Martinez, Patroklos Androulakis Korakakis, Martin C Refalo, Paul A Swinton and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in sports and active living, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Alec SingerDepartment of Exercise Science and Recreation, Applied Muscle Development Lab, CUNY Lehman College, Bronx, NY, United States.
Milo WolfDepartment of Exercise Science and Recreation, Applied Muscle Development Lab, CUNY Lehman College, Bronx, NY, United States.
Leonardo GenerosoDepartment of Exercise Science and Recreation, Applied Muscle Development Lab, CUNY Lehman College, Bronx, NY, United States.
Elizabeth AriasDepartment of Exercise Science and Recreation, Applied Muscle Development Lab, CUNY Lehman College, Bronx, NY, United States.
Kenneth DelcastilloDepartment of Exercise Science and Recreation, Applied Muscle Development Lab, CUNY Lehman College, Bronx, NY, United States.
Edwin EchevarriaDepartment of Exercise Science and Recreation, Applied Muscle Development Lab, CUNY Lehman College, Bronx, NY, United States.
Amaris MartinezDepartment of Exercise Science and Recreation, Applied Muscle Development Lab, CUNY Lehman College, Bronx, NY, United States.
Patroklos Androulakis KorakakisDepartment of Exercise Science and Recreation, Applied Muscle Development Lab, CUNY Lehman College, Bronx, NY, United States.
Martin C RefaloInstitute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia.
Paul A SwintonDepartment of Sport and Exercise, School of Health Sciences, Robert Gordon University, Aberdeen, United Kingdom.
Brad J SchoenfeldDepartment of Exercise Science and Recreation, Applied Muscle Development Lab, CUNY Lehman College, Bronx, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We systematically searched the literature for studies with a randomized design that compared different inter-set rest interval durations for estimates of pre-/post-study changes in lean/muscle mass in healthy adults while controlling all other training variables. Bayesian meta-analyses on non-controlled effect sizes using hierarchical models of all 19 measurements (thigh: 10; arm: 6; whole body: 3) from 9 studies meeting inclusion criteria analyses showed substantial overlap of standardized mean differences across the different inter-set rest periods [binary: short: 0.48 (95%CrI: 0.19-0.81), longer: 0.56 (95%CrI: 0.24-0.86); Four categories: short: 0.47 (95%CrI: 0.19-0.80), intermediate: 0.65 (95%CrI: 0.18-1.1), long: 0.55 (95%CrI: 0.15-0.90), very long: 0.50 (95%CrI: 0.14-0.89)], with substantial heterogeneity in results. Univariate and multivariate pairwise meta-analyses of controlled binary (short vs. longer) effect sizes showed similar results for the arm and thigh with central estimates tending to favor longer rest periods [arm: 0.13 (95%CrI: -0.27 to 0.51); thigh: 0.17 (95%CrI: -0.13 to 0.43)]. In contrast, central estimates closer to zero but marginally favoring shorter rest periods were estimated for the whole body [whole body: -0.08 (95%CrI: -0.45 to 0.29)]. Subanalysis of set end-point data indicated that training to failure or stopping short of failure did not meaningfully influence the interaction between rest interval duration and muscle hypertrophy. In conclusion, results suggest a small hypertrophic benefit to employing inter-set rest interval durations >60 s, perhaps mediated by reductions in volume load. However, our analysis did not detect appreciable differences in hypertrophy when resting >90 s between sets, consistent with evidence that detrimental effects on volume load tend to plateau beyond this time-frame.

Indexed as

muscle cross-sectional areamuscle developmentmuscle growthmuscle thicknessrecovery intervalrest period

Identifiers

PMID39205815
PMCPMC11349676

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.