Predicting muscular strength using demographics,skeletal dimensions,and body composition measures  

作　　者：Sean T.Stanelle Stephen F.Crouse Tyler R.Heimdal Steven E.Riechman Alexandra L.Remy Bradley S.Lambert 

机构地区：[1]Department of Health and Kinesiology,Texas A&M University,400 Bizzell St,College Station,TX,USA [2]Department of Orthopedics,Baylor University Medical Center,3500 Gaston Ave,Dallas,TX,USA [3]Department of Orthopedics and Sports Medicine,Houston Methodist Hospital,6565 Fannin St,Houston,TX,USA

出　　处：《Sports Medicine and Health Science》2021年第1期34-39,共6页运动医学与健康科学（英文）

摘　　要：The purpose of this study was to develop an equation to predict strength for seven common resistance training exercises using anthropometric and demographic measures.One-hundred forty-seven healthy adults(74 males,73 females,3512 yr,17410 cm,8819 kg)volunteered to participate.Body composition values(regional/total)and body dimensions were assessed using dual-energy x-ray absorptiometry(DEXA).Subjects underwent the following maximal strength assessments:Leg Press,Chest Press,Leg Curl,Lat Pulldown,Leg Extension,Tri-ceps Pushdown,and Biceps Curl.Multiple linear regression with stepwise removal was used to determine the best model to predict maximal strength for each exercise.Independent predictor variables identified(p<0.05)were height(cm);weight(kg);BMI;age;sex(0=F,1=M);regional lean masses(LM,kg);fat mass(FM,kg);fat free mass(FFM,kg);percent fat(%BF);arm,leg,and trunk lengths(AL,LL,TL;cm);and shoulder width(SW,cm).Analyses were performed with and without regional measures to accommodate scenarios where DEXA is un-available.All models presented were significant(p<0.05,R^(2)=0.68-0.83),with regional models producing the greatest accuracy.Results indicate that maximal strength for individual resistance exercises can be reasonably estimated in adults.

关 键 词：Strength training Exercise testing Regression equation DEXA 

分 类 号：H31[语言文字—英语]