训练和未训练男性总体重和瘦体重对一次重复最大负荷的预测

Eduardo Lusa, R. Pinto, E. Silva, R. Spinelli, C. S. Correa, L. Kruel
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引用次数: 8

摘要

简介:一次最大重复测试(1RM)通常用于评估肌肉力量和规定ⴀ力量训练的强度。然而,初始测试负载和测试持续时间的确定使得在非ⴀ个性化环境中使用相同的方法变得困难。目的:根据肌肉力量、瘦体重和总体重之间的关系,确定估算最大力量(1RM)的系数。方法:20名ⴀ8名力量ⴀ训练和未ⴀ力量ⴀ训练的男性参与本研究。在卧推、支撑式杠铃排、45°腿推和深蹲运动中,采用1 RM试验测定肌肉力量,采用皮肤褶法测定身体成分。在验证肌肉力量与体重和成分之间的相关性后,通过将1 RM的值除以总体重和瘦体重(kg),并根据这些参数通过线性回归方程计算预测最大力量的系数。结果:重要的身体质量之间的相关性被发现和瘦体重与肌肉力量练习(ⴀ0.47 r = 0.76, P < 0.05)。肌肉力量值和瘦体重之间的相关性最大。在所有测试练习中,受过ⴀ训练的受试者与未受过ⴀ训练的受试者的系数有显著差异(P < 0.05)。结论:结果提示1RM的预测系数应考虑个体的身体组成和训练状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PREDICTION OF ONE REPETITION MAXIMUM LOAD BY TOTAL AND LEAN BODY MASS IN TRAINED AND UNTRAINED MEN
Introduction: One  repetition  maximum  test  (1RM)  is  often  used  to  evaluate  muscle  strength  and  to  prescribe  the  in ⴀ tensity  of  strength  training. However,  the  determination  of  the  initial  test  load,  and  duration  of  the  test  make  difficult  to  use the  same  in  non ⴀindividualised  environments. Objective: To determine coefficients to estimate the maximum strength (1RM), based on the relationship between muscular  strength,  lean  body  mass  and  total  body  mass. Methods:  Twenty ⴀeight  strength ⴀtrained  and  non ⴀstrength ⴀtrained  men  participated  in  this  study. Muscle  strength  was determined  using  the  1  RM  test  in  the  bench  press,  supported  barbell  row,  45°  leg  press  and  squat  exercise,  while  body composition  was  measured  using  the  skinfolds  method. After  verifying  the  correlations between  muscular  strength  and  body mass  and  composition,  the  coefficients  to  predict  the  maximal  strength  were  calculated  by  dividing  the  value  of  the  1  RM by  the  total  body  mass  and  lean  body  mass  (kg)  and  by  linear  regression  equation  based  in  these  parameters. Results: Significant  correlations  were  found  between  body  mass  and  lean  body  mass  with  muscular  strength  in  all  the exercises  ( r  =  0.47   ⴀ  0.76, P  <  0.05).  The  greatest  correlations  were  observed  between  the  muscular  strength  values  and lean  body  mass. There  was  a significant  difference  between  the  coefficients  obtained  from  trained  and  non ⴀtrained  subjects in  all  the  tested  exercises  ( P  <  0.05). Conclusions: The  results  suggest  that  the  coefficients  of  prediction  of  the  1RM  should take  into  account  the  body composition  and  the  training  status  of  the  individuals.
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