대학축구선수의 상대적 외적훈련부하와 스포츠 손상의 연관성
The Relationship Between Relative External Training Load and Sports Injury in Collegiate Football Players
1
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
PURPOSE: This study aimed to investigate the relationship between relative training load and non-contact injuries in collegiate football players. METHODS: Eleven players were enrolled in this study. During sports competitions, data were collected using global positioning system (GPS) units (10 Hz), and information on sport-related injuries of the lower extremities was recorded. The acute-to-chronic workload ratio (ACWR) of total distance covered, high-intensity distance (≥18 km/hours), sprint distance (≥21 km/hours) and bouts, work-to-rest ratio, and acceleration-deceleration bouts were calculated. Data were evenly split into quartiles, with the lowest ACWR range used as a reference group. Odds ratios were calculated to determine the injury risk at a given ACWR of each GPS variable, using a logistic regression analysis. RESULTS: Six players experienced nine injuries, yielding an incidence of 132.93 injuries per 1,000 athlete exposures. Based on ACWR values, the highest risk of injury was most associated with total distance covered, followed by high-intensity distance, and sprint bouts. The lowest risk of injury was associated with sprint distance, which yielded a lower injury risk than that in the reference group. CONCLUSIONS: Our study shows the need for continued monitoring of in-game athlete performance in preventing non-contact sport-related injuries in football players.
Abstract
PURPOSE: This study aimed to investigate the relationship between relative training load and non-contact injuries in collegiate football players. METHODS: Eleven players were enrolled in this study. During sports competitions, data were collected using global positioning system (GPS) units (10 Hz), and information on sport-related injuries of the lower extremities was recorded. The acute-to-chronic workload ratio (ACWR) of total distance covered, high-intensity distance (≥18 km/hours), sprint distance (≥21 km/hours) and bouts, work-to-rest ratio, and acceleration-deceleration bouts were calculated. Data were evenly split into quartiles, with the lowest ACWR range used as a reference group. Odds ratios were calculated to determine the injury risk at a given ACWR of each GPS variable, using a logistic regression analysis. RESULTS: Six players experienced nine injuries, yielding an incidence of 132.93 injuries per 1,000 athlete exposures. Based on ACWR values, the highest risk of injury was most associated with total distance covered, followed by high-intensity distance, and sprint bouts. The lowest risk of injury was associated with sprint distance, which yielded a lower injury risk than that in the reference group. CONCLUSIONS: Our study shows the need for continued monitoring of in-game athlete performance in preventing non-contact sport-related injuries in football players.
참고문헌 (27)
- Impellizzeri FM, "Internal and external train ing load : 15 years on", Int J Sports Physiol Perform, 14, pp.270~273 (2019)
- McLaren SJ, "The relationships between internal and external measures of training load and intensity in team sports : a meta-analysis", Sports Med, 48, pp.641~658 (2018)
- Kalkhoven JT, "Training load and injury : causal pathways and future directions", Sports Med, 51, pp.1137~1150 (2021)
- Foster C, "Monitoring training loads : the past, the present, and the future", Int J Sports Physiol Perform, 12, pp.S2~ (2017)
- Martin-Garcia A, "Quantification of a professional football team’s external load using a microcycle structure", J Strength Cond Res, 32, pp.3511~3518 (2018)
- Griffin A, "Training load monitoring in team sports : a practical approach to addressing missing data", J Sports Sci, 39, pp.2161~2171 (2021)
- Kim T, "Optimal relative workload for managing low-injury risk in lower extremities of female field hockey players:a retrospective observational study", Medicine (Baltimore), 100, pp.e27643~ (2021)
- Theron GF, "The use of data mining for predicting injuries in professional football players", Master, pp.2020
- Hulin BT, "The acute : chronic workload ratio predicts injury : high chronic workload may decrease injury risk in elite rugby league players", Br J Sports Med, 50, pp.231~236 (2016)
- Banister EW, "A systems model of training for athletic performance", Aust J Sports Med, 7, pp.57~61 (1975)
- Bowen L, "Accumulated workloads and the acute : chronic workload ratio relate to injury risk in elite youth football players", Br J Sports Med, 51, pp.452~459 (2017)
- Bowen L, "Spikes in acute : chronic workload ratio(ACWR)associated with a 5-7 times greater injury rate in english premier league football players : a comprehensive 3-year study", Br J Sports Med, 54(12), pp.731~738 (2019)
- Delecroix B, "Workload and non-contact injury incidence in elite football players competing in European leagues", Eur J Sport Sci, 18, pp.1280~1287 (2018)
- Hulin BT, "Spikes in acute workload are associated with increased injury risk in elite cricket fast bowlers", Br J Sports Med, 48, pp.708~712 (2014)
- Gabbett TJ, "The training-injury prevention paradox : should athletes be training smarter and harder?", Br J Sports Med, 50, pp.273~280 (2016)
- Bache-Mathiesen LK, "Not straightforward : modelling non-linearity in training load and injury research", BMJ Open Sport Exerc Med, 7, pp.e001119~ (2021)
- Enright K, "Workload and injury in professional soccer players : role of injury tissue type and injury severity", Int J Sports Med, 41, pp.89~97 (2020)
- Aughey RJ, "Applications of GPS technologies to field sports", Int J Sports Physiol Perform, 6, pp.295~310 (2011)
- Casamichana D, "Relationship between indicators of training load in soccer players", J Strength Cond Res, 27, pp.369~374 (2013)
- Dwyer DB, "Global positioning system data analysis : velocity ranges and a new definition of sprinting for field sport athletes", J Strength Cond Res, 26, pp.818~824 (2012)
- Gabbett TJ, "Relationship between running loads and soft-tissue injury in elite team sport athletes", J Strength Cond Res, 26, pp.953~960 (2012)
- Steffen K, "How do the new olympic sports compare with the traditional olympic sports? injury and illness at the 2018 youth olympic summer games in Buenos Aires, Argentina", Br J Sports Med, 54, pp.168~175 (2020)
- Malone S, "High-speed running and sprinting as an injury risk factor in soccer : can well-developed physical qualities reduce the risk?", J Sci Med Sport, 21, pp.257~262 (2018)
- Verstappen S, "The association between training load and injury risk in elite youth soccer players : a systematic review and best evidence synthesis", Sports Med-Open, 7, pp.1~14 (2021)
- Kerr ZY, "The first decade of web-based sports injury surveillance(2004-2005 through 2013-2014) : methods of the national collegiate athletic association injury surveillance program and high school reporting information online", J Athl Train, 53, pp.729~737 (2018)
- Owen AL, "Heart rate-based training intensity and its impact on injury incidence among elite-level professional soccer players", J Strength Cond Res, 29, pp.1705~1712 (2015)
- Impellizzeri FM, "Training load and its role in injury prevention, part I : back to the future", J Athl Train, 55, pp.885~892 (2020)