Determinant factors of peak treadmill speed in physically active men

Author(s)

Pasqua, Leonardo Alves ^[1] ; Damasceno, Mayara V. ^[1] ; Bueno, Salomao ^[1] ; Zagatto, Alessandro M. ^[2] ; de Araujo, Gustavo G. ^[3] ; Lima-Silva, Adriano E. ^{[1, 4]} ; Bertuzzi, Romulo ^[1]

Affiliation

^[1] Univ Sao Paulo, Sch Phys Educ & Sport, Endurance Performance Res Grp GEDAE USP, Sao Paulo - Brazil

^[2] Sao Paulo State Univ UNESP, Dept Phys Educ, Bauru - Brazil

^[3] Univ Fed Alagoas, Sports Sci Res Grp, Dept Phys Educ CEDU, Maceio, Alagoas - Brazil

^[4] Univ Fed Pernambuco, Dept Phys Educ & Sports Sci CAV, Sport Sci Res Grp, Recife, PE - Brazil

• Document type: Journal article
• Source: JOURNAL OF SPORTS MEDICINE AND PHYSICAL FITNESS; v. 58, n. 3, p. 204-209, MAR 2018.
• Web of Science Citations: 0

Abstract

BACKGROUND: The aim of the present study was to determine whether physiological factors and maximal dynamic strength are able to determine the peak treadmill speed (PTS) in physically active individuals. METHODS: One hundred and fifty physically active healthy males voluntarily visit the laboratory on three separate occasions and underwent the following activities: first visit - IPAQ (short version), anthropometric measurements, and a maximal incremental test performed for physiological variables (maximal oxygen uptake {[}(V) over dotO(2)] and respiratory compensation point {[}RCP]); second visit - constant speed test for running economy (RE) measurement, and familiarization with the Maximum Dynamic Strength (1RM) Test in the leg press exercise; third visit - 1RM test. RESULTS: The stepwise multiple regression model selected four independent variables to predict PTS (RCP, (V) over dotO(2), RE, and 1RM). RCP explained 59% (P<0.001) of variance in PTS, whereas (V) over dotO(2), RE and 1RM accounted for additional 8% (P<0.001), 4% (P<0.001), and 1.4% (P=0.038), respectively. CONCLUSIONS: In conclusion, the results of the present study demonstrate that PTS, an important predictor of endurance performance, is determined by both physiological (i.e., RCP, (V) over dotO(2), and RE) and muscular (1RM) parameters in healthy active individuals. These results demonstrate that, during a physical evaluation, PTS is able to represent physiological and muscular parameters of physically active individuals. This has the advantage during aerobic fitness evaluations of not requiring expensive equipment and specialized software. (AU)

• FAPESP's process: 10/13913-6 - Running economy and muscle strength: a relationship with ACTN3 gene R577X polymorphism
• Grantee: Leonardo Alves Pasqua
• Support Opportunities: Scholarships in Brazil - Master