Comparison of Measurements of External Load between Professional Soccer Players

被引:3
|
作者
Gholizadeh, Roghayyeh [1 ,2 ]
Nobari, Hadi [1 ,3 ,4 ]
Bolboli, Lotfali [1 ]
Siahkouhian, Marefat [1 ]
Brito, Joao Paulo [5 ,6 ,7 ,8 ]
机构
[1] Univ Mohaghegh Ardabili, Fac Educ Sci & Psychol, Dept Exercise Physiol, Ardebil 5619911367, Iran
[2] Univ Granada, Fac Sport Sci, Dept Phys Educ & Sport, Granada 18010, Spain
[3] Univ Brasov, Fac Phys Educ & Mt Sports, Dept Motor Performance, Brasov 500068, Romania
[4] Univ Extremadura, Fac Sport Sci, Caceres 10003, Spain
[5] Sepahan Football Club, Esfahan 8188778473, Iran
[6] Polytech Inst Santarem, Sports Sci Sch Rio Maior, P-2040413 Rio Maior, Portugal
[7] Life Qual Res Ctr, P-2040413 Rio Maior, Portugal
[8] Hlth Sci & Human Dev, Res Ctr Sport Sci, P-5001801 Vila Real, Portugal
关键词
external training load; technology; soccer; performance; wearable inertial measurement units; CHRONIC WORKLOAD RATIO; INJURY RISK; PERFORMANCE; TIME; PARAMETERS; PROFILES;
D O I
10.3390/healthcare10061116
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: The excessive and rapid increases in training load (TL) may be responsible for most non-contact injuries in soccer. This study's aims were to describe, week(w)-by-week, the acute (AW), chronic (CW), acute:chronic workload ratio (wACWR), total distance (wTD), duration training (wDT), sprint total distance (wSTD), repeat sprint (wRS), and maximum speed (wMS) between starter and non-starter professional soccer players based on different periods (i.e., pre-, early-, mid-, and end-season) of a full-season (Persian Gulf Pro League, 2019-2020). Methods: Nineteen players were divided according to their starting status: starters (n = 10) or non-starters (n = 9). External workload was monitored for 43 weeks: pre- from w1-w4; early- from w5-w17; mid- from w18-w30, and end-season from w31-w43. Results: In starters, AW, CW, and wACWR were greater than non-starters (p < 0.05) throughout the periods of early- (CW, p <= 0.0001), mid- (AW, p = 0.008; CW, p <= 0.0001; wACWR, p = 0.043), or end-season (AW, p = 0.035; CW, p = 0.017; wACWR, p = 0.010). Starters had a greater wTD (p <= 0.0001), wSTD (p <= 0.0001 to 0.003), wDT (p <= 0.0001 to 0.023), wRS (p <= 0.0001 to 0.018), and wMS (p <= 0.0001) than non-starters during early-, mid-, and end-season. Conclusion: Starters experienced more CW and AW during the season than non-starters, which underlines the need to design tailored training programs accounting for the differences between playing status.
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页数:15
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