| Autor: |
Early KS; Department of Kinesiology and Health Sciences, Columbus State University, Columbus, GA 31907, USA.; School of Kinesiology, Louisiana State University, Baton Rouge, LA 70803, USA., Lemoine NP; School of Kinesiology, Louisiana State University, Baton Rouge, LA 70803, USA., Simoneaux A; School of Kinesiology, Louisiana State University, Baton Rouge, LA 70803, USA., Mullenix S; Department of Athletics, Louisiana State University, Baton Rouge, LA 70803, USA., Marucci J; Department of Athletics, Louisiana State University, Baton Rouge, LA 70803, USA., MacLellan MJ; Department of Applied Human Sciences, University of Prince Edward Island, Charlottetown, PE C1A 4P3, Canada., Johannsen NM; School of Kinesiology, Louisiana State University, Baton Rouge, LA 70803, USA. |
| Abstrakt: |
This study aimed to describe the physical demands of American football players using novel performance analysis techniques. Heart rate (HR) and accelerometer-based activity levels were observed across two pre-season scrimmages in 23 Division I collegiate football players (age: 19 ± 1 y, height: 1.90 ± 0.06 m, weight: 116.2 ± 19.4 kg). Data were analyzed using a MATLAB program and inter-rater reproducibility assessed using inter-class correlations (ICC). Players were analyzed by side (offense/defense) and position (skill/non-skill). Performance variables assessed in bursts of activity included burst duration, HR mean and HR max (bpm), and mean activity (vector magnitude units [vmu]). Exercise intensity was categorized as time spent in % HRmax in 5% increments. The burst duration (8.1±3.9 min, ICC = 0.72), HR mean (157 ± 12 bpm, ICC = 0.96) and mean activity (0.30 ± 0.05 vmu, ICC = 0.86) were reproducible. HR mean ( p = 0.05) and HR max ( p = 0.001) were greater on defense. Offense spent more time at 65-70% HR max ( p = 0.01), 70-75% HR max ( p = 0.02) while defense spent more time 90-95% HR max and ≥95% HR max ( p = 0.03). HR mean ( p = 0.70) and HR peak ( p = 0.80) were not different between positions across both sides. Skilled players demonstrated greater mean activity ( p = 0.02). The sport-specific analysis described HR and activity level in a reproducible manner. Automated methods of assessing HR may be useful in training and game time performance but ultimately provides support to coaching decision making. |
