Lean Body Mass and Muscle Cross-Sectional Area Adaptations Among College Age Males with Different Strength Levels across 11 Weeks of Block Periodized Programmed Resistance Training
2021
Paul A. Moquin | Alexander B. Wetmore | Kevin M. Carroll | Andrew C. Fry | W. Guy Hornsby | Michael H. Stone
The block periodization training paradigm has been shown to produce enhanced gains in strength and power. The purpose of this study is to assess resistance training induced alterations in lean body mass and cross-sectional area using a block periodization training model among individuals (n = 15) of three differing strength levels (high, moderate and low) based on one repetition maximum back squat relative to body weight. A 3 × 5 mixed-design ANOVA was used to examine within-and between-subject changes in cross-sectional area (CSA), lean body mass (LBM), lean body mass adjusted (LBMadjusted) and total body water (TBW) over an 11-week resistance training program. LBMadjusted is total body water subtracted from lean body mass. The ANOVA revealed no statistically significant between-group differences in any independent variable (p >: 0.05). Within-group effects showed statistically significant increases in cross-sectional area (p <: 0.001), lean body mass (p <: 0.001), lean body mass adjusted (p ˂ 0.001) and total body water (p <: 0.001) from baseline to post intervention: CSA: 32.7 cm2 ± 8.6: 36.3 cm2 ± 7.2, LBM: 68.0 kg ± 9.5: 70.6 kg ± 9.4, LBMadjusted: 20.4 kg ± 3.1: 21.0 kg ± 3.3 and TBW: 49.8 kg ± 6.9: 51.7 kg ± 6.9. In conclusion, the results of this study suggest subjects experienced an increase in both lean body mass and total body water, regardless of strength level, over the course of the 11-week block periodized program. Gains in lean body mass and cross-sectional area may be due to edema at the early onset of training.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par Multidisciplinary Digital Publishing Institute
Découvrez la collection de ce fournisseur de données dans AGRIS