Eduardo Lusa, R. Pinto, E. Silva, R. Spinelli, C. S. Correa, L. Kruel
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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.","PeriodicalId":93474,"journal":{"name":"Medicina sportiva (Krakow, Poland : English ed.)","volume":"1 1","pages":"111-117"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"PREDICTION OF ONE REPETITION MAXIMUM LOAD BY TOTAL AND LEAN BODY MASS IN TRAINED AND UNTRAINED MEN\",\"authors\":\"Eduardo Lusa, R. Pinto, E. Silva, R. Spinelli, C. S. Correa, L. Kruel\",\"doi\":\"10.5604/17342260.1011391\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":93474,\"journal\":{\"name\":\"Medicina sportiva (Krakow, Poland : English ed.)\",\"volume\":\"1 1\",\"pages\":\"111-117\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medicina sportiva (Krakow, Poland : English ed.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5604/17342260.1011391\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medicina sportiva (Krakow, Poland : English ed.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5604/17342260.1011391","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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。
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.