Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Methodological approach for determining optimal active warm-up intensity: predictive equations
Science and Sports, Volume 24, No. 1, Year 2009
Notification
URL copied to clipboard!
Description
Purpose: To provide predictive models for determining optimal active warm-up (WU) intensity and its effects on subsequent performance. Methods: Two experiments were conducted in two countries. In both, the methodological approach was based on a free field warm-up (FWU) with duration, intensity, and intermediary pause, self-selected by the athletes. The FWU was subsequently replicated in the laboratory and referred to as the reference warm-up (RWU). Two other warm-up intensities were designed from RWU by increasing RWU intensity by 10% (RWU + 10%) and decreasing RWU intensity by 10% (RWU - 10%). Their effects were assessed on time limit (Tlim) of maximal cycling. Nine athletes participated in the first experiment and 20 in the second. Results: RWU located at 62 ± 10% maximal power (Pmax) was found to be optimal and induced an oxygen uptake corresponding to 75.6 ± 10.4% over(V, ̇)O2max and a heart rate (HR) of 78 ± 7% HRmax. Performance was related to warm-up intensity by two linear regressions and as follows:fenced((y (Tlim (s)) = 1.8 x + 324.8 when x ≤ 62 ± 10 % Pmax; y (Tlim (s)) = - 14.9 x + 1364 when x ≥ 62 ± 10 % Pmax)). Conclusion: It is possible to use predictive mathematical models for determining the effects of active WU on subsequent performance. © 2008 Elsevier Masson SAS. All rights reserved.
Authors & Co-Authors
Mandengué, Samuel Honoré
France, Amiens
Adaptations Physiologiques à L’exercice et Réadaptation à L’effort Apere
Cameroon, Douala
University of Douala
Miladi, Imed
France, Amiens
Adaptations Physiologiques à L’exercice et Réadaptation à L’effort Apere
Bishop, David J.
Italy, Verona
Università Degli Studi Di Verona
Temfemo, Abdou
France, Amiens
Adaptations Physiologiques à L’exercice et Réadaptation à L’effort Apere
Cissè, Fallou
Senegal, Dakar
Universite Cheikh Anta Diop Faculte de Medecine et de Pharmacie
Ahmaïdi, Saïd B.
France, Amiens
Adaptations Physiologiques à L’exercice et Réadaptation à L’effort Apere
Statistics
Citations: 14
Authors: 6
Affiliations: 4
Identifiers
Doi:
10.1016/j.scispo.2008.06.001
ISSN:
07651597
Study Approach
Quantitative