Preprint / Version 1

Dose-response modelling of resistance exercise across outcome domains in strength and conditioning

A meta-analysis

##article.authors##

  • Paul Swinton
  • Brad Schonefeld
  • Andrew Murphy

DOI:

https://doi.org/10.51224/SRXIV.300

Keywords:

Intensity, Volume, Frequency, Bayesian

Abstract

Objectives

The aim of this meta-analysis was to use contemporary modelling techniques to investigate resistance-only and resistance-dominant training interventions, and explore relationships between training variables (frequency, volume, intensity), participant characteristics (training status, sex) and improvements across a range of outcome domains including maximum strength, power, vertical jump, agility, and sprinting performance.

 

Methods

Data were obtained from a database of training studies conducted between 1962-2018, which comprised healthy trained or untrained adults engaged in resistance-only or resistance-dominant interventions. Studies were not required to include a control group. Standardized mean difference effect sizes were calculated and interventions categorized according to a range of training variables describing frequency, volume, overall intensity, and intensity of load. Bayesian mixed effects meta-analytic models were fitted with predictors added sequentially and compared based on predictive accuracy.

 

Results

Data from a total of 295 studies comprising 535 groups and 6710 participants were included with analyses conducted on time points ≤26 weeks. The best performing model included: duration from baseline, average number of sets, and the main and interaction effects between outcome domain and intensity of load (%1RM) expressed non-linearly. Model performance was not improved by the inclusion of participant training status or sex.

 

Conclusions

The current meta-analysis represents the most comprehensive investigation of dose-response relationships across a range of outcome domains commonly targeted within strength and conditioning to date.  Results demonstrate the magnitude of improvements are predominantly influenced by training intensity of load and the outcome measured. When considering the effects of intensity as a %1RM, profiles differ across outcome domains with maximum strength likely to be maximised with the heaviest loads, vertical jump performance likely to be maximised with relatively light loads (~30%1RM), and power likely to be maximised with low to moderate loads (40-70% 1RM).

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2023-06-07