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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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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
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author Early, Kate S.
Lemoine, Nathan P.
Simoneaux, Annie
Mullenix, Shelly
Marucci, Jack
MacLellan, Michael J.
Johannsen, Neil M.
author_facet Early, Kate S.
Lemoine, Nathan P.
Simoneaux, Annie
Mullenix, Shelly
Marucci, Jack
MacLellan, Michael J.
Johannsen, Neil M.
author_sort Early, Kate S.
collection PubMed
description 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.
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spelling pubmed-78658812021-02-07 Positional Differences in Pre-Season Scrimmage Performance of Division I Collegiate Football Players Early, Kate S. Lemoine, Nathan P. Simoneaux, Annie Mullenix, Shelly Marucci, Jack MacLellan, Michael J. Johannsen, Neil M. Sensors (Basel) Communication 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. MDPI 2021-01-24 /pmc/articles/PMC7865881/ /pubmed/33498820 http://dx.doi.org/10.3390/s21030769 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Early, Kate S.
Lemoine, Nathan P.
Simoneaux, Annie
Mullenix, Shelly
Marucci, Jack
MacLellan, Michael J.
Johannsen, Neil M.
Positional Differences in Pre-Season Scrimmage Performance of Division I Collegiate Football Players
title Positional Differences in Pre-Season Scrimmage Performance of Division I Collegiate Football Players
title_full Positional Differences in Pre-Season Scrimmage Performance of Division I Collegiate Football Players
title_fullStr Positional Differences in Pre-Season Scrimmage Performance of Division I Collegiate Football Players
title_full_unstemmed Positional Differences in Pre-Season Scrimmage Performance of Division I Collegiate Football Players
title_short Positional Differences in Pre-Season Scrimmage Performance of Division I Collegiate Football Players
title_sort positional differences in pre-season scrimmage performance of division i collegiate football players
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865881/
https://www.ncbi.nlm.nih.gov/pubmed/33498820
http://dx.doi.org/10.3390/s21030769
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