Are Metabolic Power Distribution and Accelerometer-Based Global Positioning System Variables Associated With Odds Ratios of Noncontact Injuries in Professional Soccer Players?

Author:

Nobari Hadi12,Alves Ana Ruivo34,Abbasi Hamed5,Khezri Davood6,Zamorano Angel Denche1,Bowman Thomas G.7

Affiliation:

1. Faculty of Sport Sciences, University of Extremadura, Cáceres, Spain;

2. Sports Scientist, Sepahan Football Club, Isfahan, Iran;

3. Department of Sports Sciences, University of Beira Interior, Covilhã, Portugal;

4. Health Sciences and Human Development (CIDESD), Research Center in Sports Sciences, Covilhã, Portugal;

5. Department of Sport Injuries and Corrective Exercises, Sport Sciences Research Institute, Tehran, Iran;

6. Department of Sport Biomechanics and Technology, Sport Sciences Research Institute, Tehran, Iran; and

7. Department of Athletic Training, College of Health Sciences, University of Lynchburg, Lynchburg, Virginia

Abstract

Abstract Nobari, H, Alves, AR, Abbasi, H, Khezri, D, Zamorano, AD, and Bowman, TG. Are metabolic power distribution and accelerometer-based GPS variables associated with odds ratios of noncontact injuries in professional soccer players? J Strength Cond Res 37(9): 1809–1814, 2023—The present study was intended to i) investigate the relationship between metabolic power average (MPA), acceleration (AcZ) and deceleration (DcZ) zones, and their differences (Δ) on 3 load levels with noncontact injuries in professional players throughout a full soccer season and ii) to analyze the injury risk associated between high-load versus low-load levels for each of the aforementioned parameters with odds ratios (OR) and relative risk (RR), respectively. Twenty-one professional soccer players (age = 28.3 ± 3.9 years) were monitored during a full season (48 weeks) through global positioning system (GPS). A relationship between MPA and accelerometer-based GPS, mainly in explosive actions (i.e., AcZs and DcZs), was found. A higher incidence of injuries in the high-load weeks compared with the low-load weeks were reported (mainly in MPA, AcZ1, AcZ2, and DcZ3 variables). Moreover, significant means of OR (mean = 4.3) and RR (mean = 2.6) of noncontact injuries were established in intense periods with higher metabolic load (i.e., power accelerations, AcZ1, x 2 = 0.022). Our results may be useful for coaches, sports scientists, and researchers regarding the optimization of the athletes' performance, as well as providing insights about the impact of intense exercise.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine,General Medicine

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