Combining higher-load and lower-load resistance training exercises: A systematic review and meta-analysis of findings from complex training studies.

Autor: Bauer, Pascal, Uebellacker, Florian, Mitter, Benedikt, Aigner, Alexander J., Hasenoehrl, Timothy, Ristl, Robin, Tschan, Harald, Seitz, Laurent B.
Zdroj: Journal of Science & Medicine in Sport; Jul2019, Vol. 22 Issue 7, p838-851, 14p
Abstrakt: Objectives: The aim of the present meta-analytical review was to determine the effectiveness of training programmes combining higher-load and lower-load exercises in one workout (i.e. complex training [CT]) on lower-body performance.Design: Systematic review and meta-analysis.Methods: A search of five electronic databases (PubMed, Web of Science, SportDiscus, CINAHL and Scopus) was conducted to identify all publications up to 7 March 2018. Meta-analyses were performed using a random-effects model with the dependent variables countermovement jump (CMJ) height, squat jump (SJ) height, one-repetition maximum (1-RM) squat performance and sprint time for 5m, 10m, 20m, 30m and 40m, respectively.Results: The analysis comprised 33 studies and a total of 1064 healthy participants. The meta-analysis revealed that CT is effective in improving CMJ (95% confidence interval [CI] 5.6%-12.3%), SJ (95% CI 8.0%-17.4%), 1-RM squat (95% CI 16.4%-30.7%) and sprint performance (5m=95% CI -14.8% to -0.9%, 10m=95% CI -6.0% to -2.1%, 20m=95% CI -7.4% to -1.4%, 30m=95% CI -8.0% to -0.6%). However, when directly compared to traditional training methods, only 1-RM squat strength performance and 20m sprint time were superior following CT interventions (95% CI 0.2%-13.7% and 95% CI -1.6% to -0.1%, respectively) CONCLUSIONS: CT is an acceptable method for improving jump, strength and sprint performance in athletes. Compared to traditional training methods, CT seems to produce superior training effects only for 1-RM squat and 20m sprint performance; however, these findings were influenced by single studies and should be therefore interpreted with circumspection. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index