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Positional Differences in Pre-Season Scrimmage Performance of Division I Collegiate Football Players

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...

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Detalles Bibliográficos
Autores principales: Early, Kate S., Lemoine, Nathan P., Simoneaux, Annie, Mullenix, Shelly, Marucci, Jack, MacLellan, Michael J., Johannsen, Neil M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865881/
https://www.ncbi.nlm.nih.gov/pubmed/33498820
http://dx.doi.org/10.3390/s21030769
Descripción
Sumario: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.