Objective Measures of Strain and Subjective Muscle Soreness Differ Between Positional Groups and Season Phases in American College Football

Click name to view affiliation

Benjamin A. McKay Centre of Medical and Exercise Physiology, School of Medicine, University of Wollongong, Wollongong, NSW, Australia
Athletics Department, University of Oregon, Eugene, OR, USA

Search for other papers by Benjamin A. McKay in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0009-0007-9792-3088 *
,
Jace A. Delaney Boston Celtics, Boston, MA, USA

Search for other papers by Jace A. Delaney in
Current site
Google Scholar
PubMed
Close
,
Andrew Simpkin School of Mathematical and Statistical Sciences, National University of Ireland, Galway, Ireland

Search for other papers by Andrew Simpkin in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0002-4975-444X
,
Theresa Larkin Centre of Medical and Exercise Physiology, School of Medicine, University of Wollongong, Wollongong, NSW, Australia
Illawarra Health and Medical Research Institute, Wollongong, NSW, Australia

Search for other papers by Theresa Larkin in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0001-5916-7276
,
Andrew Murray Physical Education & Health Sciences, University of Edinburgh, Edinburgh, United Kingdom

Search for other papers by Andrew Murray in
Current site
Google Scholar
PubMed
Close
,
Diarmuid Daniels Orreco Ltd, Business Innovation Unit, National University of Ireland, Galway, Ireland

Search for other papers by Diarmuid Daniels in
Current site
Google Scholar
PubMed
Close
,
Charles R. Pedlar Orreco Ltd, Business Innovation Unit, National University of Ireland, Galway, Ireland
Faculty of Sport, Allied Health and Performance Sciences, St Mary’s University, London, United Kingdom
Division of Surgery and Interventional Science, University College London, London, United Kingdom

Search for other papers by Charles R. Pedlar in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0002-3075-9101
, and
John A. Sampson Centre of Medical and Exercise Physiology, School of Medicine, University of Wollongong, Wollongong, NSW, Australia

Search for other papers by John A. Sampson in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0002-6800-7757
Restricted access

Purpose: To assess objective strain and subjective muscle soreness in “Bigs” (offensive and defensive line), “Combos” (tight ends, quarterbacks, line backers, and running backs), and “Skills” (wide receivers and defensive backs) in American college football players during off-season, fall camp, and in-season phases. Methods: Twenty-three male players were assessed once weekly (3-wk off-season, 4-wk fall camp, and 3-wk in-season) for hydroperoxides (free oxygen radical test [FORT]), antioxidant capacity (free oxygen radical defense test [FORD]), oxidative stress index (OSI), countermovement-jump flight time, Reactive Strength Index (RSI) modified, and subjective soreness. Linear mixed models analyzed the effect of a 2-within-subject-SD change between predictor and dependent variables. Results: Compared to fall camp and in-season phases, off-season FORT (P ≤ .001 and <.001), FORD (P ≤ .001 and <.001), OSI (P ≤ .001 and <.001), flight time (P ≤ .001 and <.001), RSI modified (P ≤ .001 and <.001), and soreness (P ≤ .001 and <.001) were higher for “Bigs,” whereas FORT (P ≤ .001 and <.001) and OSI (P = .02 and <.001) were lower for “Combos.” FORT was higher for “Bigs” compared to “Combos” in all phases (P ≤ .001, .02, and .01). FORD was higher for “Skills” compared with “Bigs” in off-season (P = .02) and “Combos” in-season (P = .01). OSI was higher for “Bigs” compared with “Combos” (P ≤ .001) and “Skills” (P = .01) during off-season and to “Combos” in-season (P ≤ .001). Flight time was higher for “Skills” in fall camp compared with “Bigs” (P = .04) and to “Combos” in-season (P = .01). RSI modified was higher for “Skills” during off-season compared with “Bigs” (P = .02) and “Combos” during fall camp (P = .03), and in-season (P = .03). Conclusion: Off-season American college football training resulted in higher objective strain and subjective muscle soreness in “Bigs” compared with fall camp and during in-season compared with “Combos” and “Skills” players.

  • Collapse
  • Expand
  • 1.

    Bosch TA, Carbuhn A, Stanforth PR, Oliver JM, Keller KA, Dengel DR. Body composition and bone mineral density of division 1 collegiate football players, a consortium of college athlete research (C-CAR) study. J Strength Cond Res. 2019;33(5):1339. PubMed ID: 28277428 doi:10.1519/JSC.0000000000001888

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 2.

    Wellman AD, Coad SC, Goulet GC, McLellan CP. Quantification of competitive game demands of NCAA division I college football players using global positioning systems. J Strength Cond Res. 2016;30(1):1119. PubMed ID: 26382134 doi:10.1519/JSC.0000000000001206

    • Search Google Scholar
    • Export Citation
  • 3.

    Wellman AD, Coad SC, Flynn PJ, Climstein M, McLellan CP. Movement demands and perceived wellness associated with preseason training camp in NCAA division I college football players. J Strength Cond Res. 2017;31(10):27042718. PubMed ID: 28817504 doi:10.1519/JSC.0000000000002106

    • Search Google Scholar
    • Export Citation
  • 4.

    Wellman AD, Coad SC, Goulet GC, McLellan CP. Quantification of accelerometer derived impacts associated with competitive games in NCAA division I college football players. J Strength Cond Res. 2016;31(2):330338. doi:10.1519/JSC.0000000000001506

    • Search Google Scholar
    • Export Citation
  • 5.

    Gabbett TJ. Use of relative speed zones increases the high-speed running performed in team sport match play. J Strength Cond Res. 2015;29(12):33533359. PubMed ID: 26020710 doi:10.1519/JSC.0000000000001016

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6.

    Fullagar HH, McCunn R, Murray A. Updated review of the applied physiology of American college football: physical demands, strength and conditioning, nutrition, and injury characteristics of America’s favorite game. Int J Sports Physiol Perform. 2017;12(10):13961403. PubMed ID: 28338375 doi:10.1123/ijspp.2016-0783

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7.

    Wellman AD, Coad SC, Flynn PJ, Siam TK, McLellan CP. Comparison of preseason and in-season practice and game loads in National Collegiate Athletic Association Division I football players. J Strength Cond Res. 2019;33(4):10201027. PubMed ID: 30908456 doi:10.1519/JSC.0000000000002173

    • Search Google Scholar
    • Export Citation
  • 8.

    Sampson JA, Murray A, Williams S, Sullivan A, Fullagar HHK. Subjective wellness, acute:chronic workloads, and injury risk in college football. J Strength Cond Res. 2019;33(12):33673373. PubMed ID: 30747901 doi:10.1519/JSC.0000000000003000

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9.

    Govus AD, Coutts A, Duffield R, Murray A, Fullagar H. Relationship between pre-training subjective wellness measures, player load and rating of perceived exertion training load in American college football. Int J Sports Physiol Perform. 2017;13(1):95101. doi:10.1123/ijspp.2016-0714

    • Search Google Scholar
    • Export Citation
  • 10.

    Hoffman JR, Maresh CM, Robert U, et al. Performance, biochemical, and endocrine changes during a competitive football game. Med Sci Sports Exerc. 2002;34(11):18451853. PubMed ID: 12439092 doi:10.1097/00005768-200211000-00023

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    Hoffman JR, Kang J, Ratamess NA, Faigenbaum AD. Biochemical and hormonal responses during an intercollegiate football season. Med Sci Sports Exerc. 2005;37(7):1237. PubMed ID: 16015144 doi:10.1249/01.mss.0000170068.97498.26

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12.

    Olusoga P, Butt J, Hays K, Maynard I. Stress in elite sports coaching: identifying stressors. J Appl Sport Psychol. 2009;21(4):442459. doi:10.1080/10413200903222921

    • Search Google Scholar
    • Export Citation
  • 13.

    Lindsay A, Costello JT. Realising the potential of urine and saliva as diagnostic tools in sport and exercise medicine. Sports Med. 2017;47(1):1131. PubMed ID: 27294353 doi:10.1007/s40279-016-0558-1

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14.

    Lewis NA, Newell J, Burden R, Howatson G, Pedlar CR. Critical difference and biological variation in biomarkers of oxidative stress and nutritional status in athletes. PLoS One. 2016;11(3):e0149927. PubMed ID: 26930475 doi:10.1371/journal.pone.0149927

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15.

    Quinn KM, Cox AJ, Roberts LA, Briskey D, Minahan C. Reliability of a point-of-care device to determine oxidative stress in whole blood before and after acute exercise: a practical approach for the applied sports sciences. J Sports Sci. 2021;39(6):673682. PubMed ID: 33172351 doi:10.1080/02640414.2020.1840755

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16.

    McKay BA, Delaney JA, Simpkin A, et al. The association between alterations in redox homeostasis, cortisol, and commonly used objective and subjective markers of fatigue in American collegiate football. Int J Sports Physiol Perform. 2021;1:17.

    • Search Google Scholar
    • Export Citation
  • 17.

    Lewis NA, Towey C, Bruinvels G, Howatson G, Pedlar CR. Effects of exercise on alterations in redox homeostasis in elite male and female endurance athletes using a clinical point-of-care test. Appl Physiol Nutr Metab. 2016;41(10):10261032. PubMed ID: 27625070 doi:10.1139/apnm-2016-0208

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    Lewis NA, Howatson G, Morton K, Hill J, Pedlar CR. Alterations in redox homeostasis in the elite endurance athlete. Sports Med. 2015;45(3):379409. PubMed ID: 25319354 doi:10.1007/s40279-014-0276-5

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19.

    Silva JR, Ascensão A, Marques F, Seabra A, Rebelo A, Magalhães J. Neuromuscular function, hormonal and redox status and muscle damage of professional soccer players after a high-level competitive match. Eur J Appl Physiol. 2013;113(9):21932201. PubMed ID: 23661147 doi:10.1007/s00421-013-2633-8

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20.

    Becatti M, Mannucci A, Barygina V, et al. Redox status alterations during the competitive season in élite soccer players: focus on peripheral leukocyte-derived ROS. Intern Emerg Med. 2017;12(6):777788. PubMed ID: 28361355 doi:10.1007/s11739-017-1653-5

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 21.

    Le Moal E, Groussard C, Paillard T, et al. Redox status of professional soccer players is influenced by training load throughout a season. Int J Sports Med. 2016;37(9):680686. PubMed ID: 27286182 doi:10.1055/s-0035-1565199

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22.

    Cormack SJ, Newton RU, McGuigan MR, Doyle TLA. Reliability of measures obtained during single and repeated countermovement jumps. Int J Sports Physiol Perform. 2008;3(2):131144. PubMed ID: 19208922 doi:10.1123/ijspp.3.2.131

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23.

    Ebben WP, Petushek EJ. Using the reactive strength index modified to evaluate plyometric performance. J Strength Con Res. 2010;24(8):19831987. doi:10.1519/JSC.0b013e3181e72466

    • Search Google Scholar
    • Export Citation
  • 24.

    Kirby TJ, McBride JM, Haines TL, Dayne AM. Relative net vertical impulse determines jumping performance. J Appl Biomech. 2011;27(3):207214. PubMed ID: 21844609 doi:10.1123/jab.27.3.207

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25.

    Fullagar HH, Govus A, Hanisch J, Murray A. The time course of perceptual recovery markers after match play in division IA college American football. Int J Sports Physiol Perform. 2017;12(9):12641266. PubMed ID: 27967293 doi:10.1123/ijspp.2016-0550

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 26.

    Buchheit M, Al Haddad H, Simpson BM, et al. Monitoring accelerations with GPS in football: time to slow down? Int J Sports Physiol Perform. 2014;9(3):442445. PubMed ID: 23916989 doi:10.1123/ijspp.2013-0187

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27.

    Barr M, Beaver T, Turczyn D, Cornish S. Validity and reliability of 15 Hz global positioning system units for assessing the activity profiles of university football players. J Strength Con Res. 2019;33(5):13711379. PubMed ID: 29733299 doi:10.1519/JSC.0000000000002076

    • Search Google Scholar
    • Export Citation
  • 28.

    Morgan DW, Martin PE, Krahenbuhl GS. Factors affecting running economy. Sports Med. 1989;7(5):310330. PubMed ID: 2662320 doi:10.2165/00007256-198907050-00003

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 29.

    Dopsaj V, Martinovic J, Dopsaj M, Kasum G, Kotur-Stevuljevic J, Koropanovski N. Hematological, oxidative stress, and immune status profiling in elite combat sport athletes. J Strength Con Res. 2013;27(12):35063514. PubMed ID: 24270459 doi:10.1519/JSC.0b013e31828ddeea

    • Search Google Scholar
    • Export Citation
  • 30.

    Cormack SJ, Newton RU, McGuigan MR, Cormie P. Neuromuscular and endocrine responses of elite players during an Australian rules football season. Int J Sports Physiol Perform. 2008;3(4):439453. PubMed ID: 19223670 doi:10.1123/ijspp.3.4.439

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 31.

    Redman KJ, Wade L, Kelly VG, Connick MJ, Beckman EM. Effects of the off-season on muscular power in professional rugby league. Int J Sports Physiol Perform. 2022;17(5):733738. PubMed ID: 35203053 doi:10.1123/ijspp.2021-0238

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 32.

    Twist C, Highton J, Daniels M, Mill N, Close G. Player responses to match and training demands during an intensified fixture schedule in professional rugby league: a case study. Int J Sports Physiol Perform. 2017;12(8):10931099. PubMed ID: 28095070 doi:10.1123/ijspp.2016-0390

    • Search Google Scholar
    • Export Citation
  • 33.

    Abbey EL, Wright CJ, Kirkpatrick CM. Nutrition practices and knowledge among NCAA division III football players. J Int Soc Sports Nutr. 2017;14(1):19. doi:10.1186/s12970-017-0170-2

    • Search Google Scholar
    • Export Citation
  • 34.

    Slattery K, Bentley D, Coutts AJ. The role of oxidative, inflammatory and neuroendocrinological systems during exercise stress in athletes: implications of antioxidant supplementation on physiological adaptation during intensified physical training. Sports Med. 2015;45(4):453471. PubMed ID: 25398224 doi:10.1007/s40279-014-0282-7

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 35.

    Fortes LS, de Lima-Júnior D, Fonseca FS, Albuquerque MR, Ferreira MEC. Effect of mental fatigue on mean propulsive velocity, countermovement jump, and 100-m and 200-m dash performance in male college sprinters. Appl Neuropsychol Adult. Published online December 28, 2021. PubMed ID: 34962836 doi:10.1080/23279095.2021.2020791.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 36.

    Martin K, Thompson KG, Keegan R, Ball N, Rattray B. Mental fatigue does not affect maximal anaerobic exercise performance. Eur J Appl Physiol. 2015;115(4):715725. PubMed ID: 25425259 doi:10.1007/s00421-014-3052-1

    • Search Google Scholar
    • Export Citation
  • 37.

    Crewther B, Carruthers J, Kilduff LP, Sanctuary CE, Cook CJ. Temporal associations between individual changes in hormones, training motivation and physical performance in elite and non-elite trained men. Biol Sport. 2016;33(3):215221. PubMed ID: 27601775 doi:10.5604/20831862.1201810

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 38.

    Taylor K, Chapman DW, Cronin JB, Newton MJ, Gill N. Fatigue monitoring in high performance sport: a survey of current trends. J Aust Strength Cond. 2012;20:1223.

    • Search Google Scholar
    • Export Citation
  • 39.

    Gallo TF, Cormack SJ, Gabbett TJ, Lorenzen CH. Pre-training perceived wellness impacts training output in Australian football players. J Sports Sci. 2016;34(15):14451451. PubMed ID: 26637525 doi:10.1080/02640414.2015.1119295

    • PubMed
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 946 946 48
Full Text Views 84 84 3
PDF Downloads 71 71 1