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 

作者机构：Department of Health and KinesiologyTexas A&M University400 Bizzell StCollege StationTXUSA Department of OrthopedicsBaylor University Medical Center3500 Gaston AveDallasTXUSA Department of Orthopedics and Sports MedicineHouston Methodist Hospital6565 Fannin StHoustonTXUSA 

出 版 物：《Sports Medicine and Health Science》 (运动医学与健康科学(英文))

年 卷 期：2021年第3卷第1期

页      面：34-39页

学科分类：0403[教育学-体育学] 0502[文学-外国语言文学] 050201[文学-英语语言文学] 05[文学] 

基　　金：HydroWorx International Texas A and M University, TAMU National Strength and Conditioning Association, NSCA 

主　　题：Strength training Exercise testing Regression equation DEXA 

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 ***-hundred forty-seven healthy adults(74 males,73 females,35
12 yr,174
10 cm,88
19 kg)volunteered to *** 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 *** linear regression with stepwise removal was used to determine the best model to predict maximal strength for each *** predictor variables identified(p0.05)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 *** models presented were significant(p0.05,R^(2)=0.68-0.83),with regional models producing the greatest *** indicate that maximal strength for individual resistance exercises can be reasonably estimated in adults.