Unknown

Dataset Information

0

The Minimum Effective Training Dose Required for 1RM Strength in Powerlifters.


ABSTRACT: The aim of this multi-experiment paper was to explore the concept of the minimum effective training dose (METD) required to increase 1-repetition-maximum (1RM) strength in powerlifting (PL) athletes. The METD refers to the least amount of training required to elicit meaningful increases in 1RM strength. A series of five studies utilising mixed methods, were conducted using PL athletes & coaches of all levels in an attempt to better understand the METD for 1RM strength. The studies of this multi-experiment paper are: an interview study with elite PL athletes and highly experienced PL coaches (n = 28), an interview and survey study with PL coaches and PL athletes of all levels (n = 137), two training intervention studies with intermediate-advanced PL athletes (n = 25) and a survey study with competitive PL athletes of different levels (n = 57). PL athletes looking to train with a METD approach can do so by performing ~3-6 working sets of 1-5 repetitions each week, with these sets spread across 1-3 sessions per week per powerlift, using loads above 80% 1RM at a Rate of Perceived Exertion (RPE) of 7.5-9.5 for 6-12 weeks and expect to gain strength. PL athletes who wish to further minimize their time spent training can perform autoregulated single repetition sets at an RPE of 9-9.5 though they should expect that strength gains will be less likely to be meaningful. However, the addition of 2-3 back-off sets at ~80% of the single repetitions load, may produce greater gains over 6 weeks while following a 2-3-1 squat-bench press-deadlift weekly training frequency. When utilizing accessory exercises in the context of METD, PL athletes typically utilize 1-3 accessory exercises per powerlift, at an RPE in the range of 7-9 and utilize a repetition range of ~6-10 repetitions.

SUBMITTER: Androulakis-Korakakis P 

PROVIDER: S-EPMC8435792 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC9024204 | biostudies-literature
| S-EPMC3932104 | biostudies-literature
| S-EPMC9854271 | biostudies-literature
2014-09-30 | E-GEOD-43437 | biostudies-arrayexpress
| S-EPMC10594210 | biostudies-literature
| S-EPMC7466622 | biostudies-literature
2014-09-30 | GSE43437 | GEO
| S-EPMC6162635 | biostudies-literature
| S-EPMC7019851 | biostudies-literature
| S-EPMC6951452 | biostudies-literature