1.5 mile run time and body mass predict 8 mile loaded march performance, irrespective of sex
Autor: | Sam D. Blacker, Beverley J. Hale, Ella F. Walker, Sarah E Jackson, Stephen D. Myers, Julie P. Greeves, Sarah L. Coakley, Russell Roberts |
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Rok vydání: | 2019 |
Předmět: |
U1
Adult Male Physical Therapy Sports Therapy and Rehabilitation Athletic Performance Running Young Adult 03 medical and health sciences Absorptiometry Photon Sex Factors 0302 clinical medicine Predictive Value of Tests Fat free mass Independent samples Humans Orthopedics and Sports Medicine 030212 general & internal medicine Least-Squares Analysis Mile Mathematics Load carriage Principal Component Analysis Body Weight 030229 sport sciences QP humanities HQ1088 Military Personnel HQ1101 Linear Models Female Multiple linear regression analysis human activities Demography |
Zdroj: | Journal of Science and Medicine in Sport |
ISSN: | 1440-2440 |
DOI: | 10.1016/j.jsams.2018.07.007 |
Popis: | Objectives: To develop a statistical model to predict 8 mile Loaded March (LM) performance and quantify differences in physical characteristics for men and women British Army Personnel. Design: 135 trained soldiers (87 men; 48 women) completed two sessions, seven days apart. Methods: Session 1: Participants’ stature, body mass, Fat Free Mass (FFM) [by dual-energy x-ray absorptiometry], Single Lift (SL), Water Can Carry (WCC), and 1.5 mile run performance were measured. Session 2: Participants completed an 8 mile LM, carrying 25 kg (4 miles paced and 4 miles individual best effort). Sex differences were compared using independent samples t-tests and 8 mile LM performance time was predicted using various multiple linear regression analysis: hierarchical forced entry multiple ordinary least squares, principal component and ordinary least products. Results: A combination of 1.5 mile run time and body mass were the strongest predictors of 8 mile LM time (R2=0.71; SEE=4.17 min; p0.05). Compared to women, men had faster mean 1.5 mile run and LM times, greater body mass and total FFM and higher SL and WCC scores (p |
Databáze: | OpenAIRE |
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