Literature DB >> 35146027

Neuromuscular Training Warm-up Prevents Acute Noncontact Lower Extremity Injuries in Children's Soccer: A Cluster Randomized Controlled Trial.

Matias Hilska1, Mari Leppänen1, Tommi Vasankari2,3, Sari Aaltonen4, Pekka Kannus1, Jari Parkkari1, Kathrin Steffen5, Urho M Kujala6, Niilo Konttinen6,7, Anu M Räisänen8, Kati Pasanen1,9,10,11.   

Abstract

BACKGROUND: Prevention of sports injuries is essential in youth, as injuries are associated with less future physical activity and thus greater all-cause morbidity.
PURPOSE: To investigate whether a neuromuscular training warm-up operated by team coaches is effective in preventing acute lower extremity (LE) injuries in competitive U11-U14 soccer players. STUDY
DESIGN: Randomized controlled trial; Level of evidence, 1.
METHODS: Twenty top-level U11 to U14 soccer clubs in Finland were randomized into intervention and control groups and assessed for 20 weeks. Participants included 1403 players (280 female, 1123 male; age range, 9-14 years): 673 players (44 teams) in the intervention group and 730 players (48 teams) in the control group. The intervention group team coaches were introduced to a neuromuscular training warm-up to replace the standard warm-up 2 to 3 times per week. The control teams were asked to perform their standard warm-up. Injury data collection was done via weekly text messages. The primary outcome measure was a soccer-related acute LE injury, and the secondary outcome measure was an acute noncontact LE injury.
RESULTS: A total of 656 acute LE injuries occurred: 310 in the intervention group and 346 in the control group. The overall acute LE injury incidence was 4.4 per 1000 hours of exposure in the intervention group and 5.5 per 1000 hours of exposure in the control group, with no significant difference between groups (incidence rate ratio [IRR], 0.82 [95% CI, 0.64-1.04]). There were 302 acute noncontact LE injuries: 129 in the intervention group (incidence, 1.8 per 1000 hours) and 173 in the control group (2.7 per 1000 hours). A significant reduction in acute noncontact LE injuries of 32% (IRR, 0.68 [95% CI, 0.51-0.93]) was observed in the intervention group compared with the control group. Furthermore, significant reductions in injury incidence in favor of the intervention group were seen in the subanalyses of acute noncontact LE injuries, leading to ≤7 days of time loss and fewer ankle and joint/ligament injuries.
CONCLUSION: A neuromuscular training warm-up operated by team coaches was found to be effective in preventing acute noncontact LE injuries in children's soccer, but this was not seen in all acute LE injuries. CLINICAL RELEVANCE: We encourage children's soccer coaches and health care professionals to implement neuromuscular training warm-up in youth sports. REGISTRATION: ISRCTN14046021 (ISRCTN registry).
© The Author(s) 2021.

Entities:  

Keywords:  children; injury prevention; neuromuscular training; soccer

Year:  2021        PMID: 35146027      PMCID: PMC8822004          DOI: 10.1177/23259671211005769

Source DB:  PubMed          Journal:  Orthop J Sports Med        ISSN: 2325-9671


Soccer is broadly beneficial for overall health, but there is a downside to participation in the sport—an increased risk of injury. Severe and recurrent sports injuries are associated with decreased future physical activity and, consequently, a greater risk for all-cause morbidity, obesity, and posttraumatic osteoarthritis. Injuries in youth sports are a public health concern that requires special attention. Much research has been done regarding soccer injuries and their prevention in youth (U19) and adult players. There is, however, a paucity of literature evaluating injury prevention in children’s (U14) soccer. Injury rates in children’s soccer range from moderate to high when compared with those in other sports but are 3 to 7 times lower when compared with those in adult elite soccer. Added to the incidence, the severity of injuries also increases during maturation. Injury types seem to be more or less similar between children and youth players, as most of the injuries are classified as contusions, sprains, and strains. Previous injuries seem to be a significant risk factor for both reinjuries and new injuries in the youth and adult settings. Several high-quality randomized controlled trials (RCTs) have shown that neuromuscular training (NMT) can prevent lower extremity (LE) injuries in youth and adult soccer and in other team sports. However, the number of injury prevention studies in soccer players younger than 14 years of age is very limited. To our knowledge, only 2 previous studies have investigated the effects of a specific NMT warm-up to prevent injuries in children’s soccer (ages 7-12 and 7-14 years, respectively). These studies used the International Football Federation (FIFA) targeted injury prevention program for children (FIFA 11+ Kids) and reported 48% and 50% lower overall injury incidence rates in the intervention groups compared with the control groups having their standard-of-practice warm-up. Considering the little knowledge available on the effectiveness of injury prevention in this young soccer population, our aim was to examine whether an NMT warm-up can reduce the risk of acute LE injuries in Finnish children (U11-U14) soccer players. Our hypothesis was that the NMT warm-up program would reduce the acute LE injury rate in youth soccer players.

Methods

Study Design and Participants

This study was a 2-armed cluster RCT. The study was approved by the ethics committee of our institution, and we followed and completed the CONSORT (Consolidated Standards of Reporting Trials) checklist. The Sami Hyypiä Academy (SHA) selects 20 competitive youth soccer clubs across Finland every other year to participate in a player development process. As part of this process, female and male youth soccer players (aged 9-14 years) participate in 2 monitoring events during the year. We invited all 20 SHA soccer clubs (92 teams; n = 1643 players) to participate in this study, and all clubs and teams agreed. Every player who was an official member of the participating team was eligible to enter the study. Informed consent from each player and his or her parent or legal guardian was required for final participation in the study. A total of 1424 players agreed to participate. Of these, 6 players were excluded for having an ongoing injury before the study onset that prevented them from participating in team practices and games. Of the 1418 players entering the study, 15 players who stopped playing on the participating teams before the follow-up were excluded from the analysis. A total of 98 players (7%) withdrew from participation during the study. Data from these players were included in the analyses for the time they participated. Thus, the final sample consisted of 1403 players (673 in the intervention group, 730 in the control group). The flow of participants through the study following the CONSORT guidelines is shown in Figure 1.
Figure 1.

CONSORT (Consolidated Standards of Reporting Trials) flowchart.

CONSORT (Consolidated Standards of Reporting Trials) flowchart. The randomization of participating clubs into intervention and control groups was performed by a statistician who had no further involvement in the study. Twenty clubs from 13 cities were randomized into either an intervention or a control group with the home city of the club as the unit of randomization: all clubs from the same city were assigned to the same group. Cities with several clubs (n = 1), with 2 clubs (n = 4), and with only 1 club (n = 8) were allocated in different randomization blocks. These 3 blocks were randomized separately into 2 groups with the condition that the number of clubs would be even (10 clubs each). Both groups were given a computer-generated random number, and the group with the greater number was assigned as the intervention group following the concealment-of-allocation principle.

Intervention

The intervention took place in 2015 between January and June (20 weeks). Coaches from the intervention group attended a prestudy workshop (3-hour duration) led by the research team (January 2015) at which they were introduced to the NMT warm-up program and data collection methods. In addition, each coach received a tablet computer with filmed demonstrations of the exercises and a PDF booklet detailing how to complete individual exercises in team practices. Components of the NMT warm-up were derived from an NMT program previously implemented and tested in floorball, a team sport containing similarities to soccer in movement patterns. The NMT warm-up consisted of 7 different exercises with progression and variations of diverse difficulty focusing on the players’ motor skills and movement quality (Appendix Figure A1). The teams in the intervention group were asked to substitute their standard warm-up with the NMT warm-up 2 to 3 times per week (20 minutes each). Teams in the control group attended a prestudy meeting (1 hour) led by the research team (January 2015) at which they were introduced to the data collection methods and were asked to continue their usual warm-up routines during the study period.
Appendix Figure A1.

Neuromuscular training warm-up program.

During the intervention, the research team members visited each intervention team 2 to 3 times to support and help coaches with the intervention training and to facilitate proper technique and progress of the NMT warm-up exercises. In addition, unannounced checkups were conducted at the control clubs for evaluating the warm-up routines during the study period. After the study, the control clubs received the same coach workshop and NMT warm-up program as the intervention clubs did.

Outcome Measures

The primary outcome measure was an acute soccer-related LE injury. The secondary outcome measure was an acute noncontact soccer-related LE injury. The definition of injury used in this study was according to Fuller and colleagues : any physical complaint sustained by a player that resulted from soccer training or playing, irrespective of the need for medical attention or time loss from soccer activities. This sensitive definition was chosen to cover the whole extent of the injury problem in a youth population. Players were regarded as injured until they could fully train and play soccer normally. Injury site was categorized following the same consensus methdology. The severity of an injury was defined as the number of days injured (time loss from fully training and playing): slight (0 days), minor (1-3 days), mild (4-7 days), moderate (8-28 days), severe (>28 days), or career ending (injury causing the player to stop playing soccer totally or forcing the player to play at a lower level) injury.

Data Collection

The baseline player monitoring events for the 92 participating teams were organized by the SHA within a time frame of 5 months (September to January). Before their teams' event, the players together with their parents or guardians completed a baseline questionnaire including details about athlete characteristics (eg, age and sex). Exposure hours were recorded separately for practices and games. The players were asked to report their weekly practice and game hours once per month. These reports were incomplete, and therefore some estimations had to be made. Teams' mean practice hours were used as individual exposure and imputed for participants missing training exposure data entirely. The time of exposure to soccer games was calculated for entire teams. The total number of games played by each team was collected by the SHA for winter (January to March) and from the Finnish Football Association for the competitive season (April to June). Game exposure was calculated using standard game durations (20-80 minutes) for each age group and number of players on the field (8-11 players). For injury reports, the players’ parents or guardians received a short message service text regarding possible injuries each follow-up week: Has your child had any musculoskeletal complaint or injuries during the previous 7 days (yes/no)? After each new injury, a physical therapist involved in the study interviewed the injured player or his and her guardian over the telephone using a structured questionnaire. Four blinded physical therapists were responsible for the injury data collection. The coaches in the intervention group recorded their teams' NMT warm-up sessions (date and duration). After the follow-up, the coaches in the control group completed a questionnaire concerning their teams’ possible injury prevention strategies during the study period.

Power Calculation and Statistical Analysis

The sample size was based on a cross-sectional survey conducted during the previous SHA season (pilot study; n = 1400) showing an average seasonal incidence of acute LE injuries among young soccer players. Our power calculation for the cluster RCT was based on the assumption that we would detect at least a 20% reduction in the incidence of acute LE injuries from 0.69 injuries in 20 weeks per person in the control group to 0.55 per person in the intervention group. We set the statistical power to 0.80, the significance level to .05, and the coefficient of variation of incidence rate between clusters (at club level) to 0.05. Thus, we estimated that we would need to recruit a minimum of 1380 players from 20 clubs for the entire study. Statistical analyses were performed using Stata statistical software Version 15.0 (StataCorp). The outcome variable was set as the incidence of injuries per 1000 hours of exposure (team practices and games). Because of overdispersion, we chose to explain this count variable by negative binomial regression instead of Poisson regression. Intragroup correlation among players in the same club was taken into account by calculating cluster-robust SEs. Incidence rates were defined as the number of injuries within the group per 1000 hours of soccer practice and games. From these incidence rates, we derived incidence rate ratios (IRRs) and 95% CIs to examine differences between groups. Adjustments were made by age and sex. Analyses were performed by the intention-to-treat principle: all eligible players who were enrolled in study clubs at the start of follow-up were included in the analysis and analyzed according to the group to which they were originally assigned. Both statisticians and the first author (M.H.) performing the analyses were blinded.

Results

Player Characteristics and Response Rate

The player characteristics for the intervention and study groups are provided in Table 1. Mean weekly exposure hours in practice and games were 5.44 in the intervention group and 4.45 in the control group (Table 1).
Table 1

Characteristics of Players Receiving Neuromuscular Training Warm-up (Intervention) and Usual Training (Control)

CharacteristicIntervention Group (n = 673)Control Group (n = 730) P Value a
Age, y, mean ± SD12.2 ± 1.212.3 ± 1.1 .04
Female, n (% within group)117 (17)163 (22) .02
Height, cm, mean ± SD b 151.3 ± 10.1151.7 ± 9.8.54
Weight, kg, mean ± SD c 41.3 ± 8.741.2 ± 8.5.90
Had previous injuries during the past 12 mo, n (%) d 299 (44)291 (40).98
Had previous orthopaedic surgeries, n (%) d 72 (11)63 (8.6).23
Weekly exposure hours d 5.444.45 <.001

Statistical tests used were the t test for independent samples for continuous variables (age, height, weight, and weekly exposure hours) and the chi-square test for categorical variables (sex, previous injuries, and previous orthopaedic surgeries). Bolded P values indicate a statistically significant difference between groups (P ≤ .05).

Data available from 578 players from the intervention group and 569 players from the control group.

Data available from 577 players from the intervention group and 568 players from the control group.

Practice and game hours during the follow-up.

Characteristics of Players Receiving Neuromuscular Training Warm-up (Intervention) and Usual Training (Control) Statistical tests used were the t test for independent samples for continuous variables (age, height, weight, and weekly exposure hours) and the chi-square test for categorical variables (sex, previous injuries, and previous orthopaedic surgeries). Bolded P values indicate a statistically significant difference between groups (P ≤ .05). Data available from 578 players from the intervention group and 569 players from the control group. Data available from 577 players from the intervention group and 568 players from the control group. Practice and game hours during the follow-up. The average response rate for the 20 short message service messages was 95% (96% and 95% in the intervention and control groups, respectively). We received responses from 73% of the players’ parents or guardians each week; 95% responded 15 times or more.

Injury Incidence

During the study period, we recorded a total of 794 acute injuries for 541 individual players. Of these, 17 injuries involved the head/neck; 62, the upper extremities; 59, the trunk; and 656, the LEs. The incidence per 1000 hours of exposure of all acute LE injuries was 4.4 in the intervention group and 5.5 in the control group (unadjusted IRR, 0.81 [95% CI, 0.63-1.03]; adjusted IRR, 0.82 [95% CI, 0.64-1.04]) (Table 2).
Table 2

Results of the Negative Binomial Regression Analysis of Acute Lower Extremity Injuries Overall and by Sex

Intervention Group (n = 673)Control Group (n = 730)Unadjusted IRR (n = 1403)IRR Adjusted for Age and Sex (n = 1403)
Injury type: overallNo.IncidenceNo.IncidenceIRR (95% CI) P ValueIRR (95% CI) P Value
All LE injuries3104.403465.500.81 (0.63-1.03).090.82 (0.64-1.04).100
Noncontact LE1291.801732.700.67 (0.48-0.93) .02 0.68 (0.51-0.93) .014
Noncontact ankle400.56600.950.59 (0.38-0.93) .02 0.63 (0.44-0.91) .013
Noncontact knee210.30250.390.75 (0.48-1.16).200.76 (0.49-1.17).210
Noncontact joint/ligament480.68691.090.62 (0.39-0.99) .04 0.66 (0.46-0.93) .019
Noncontact muscle570.80771.210.66 (0.44-1.00) .05 0.68 (0.44-1.04).072
Intervention Group (n = 556)Control Group (n = 567)Unadjusted IRR (n = 1123)IRR Adjusted for Age (n = 1123)
Injury type: maleNo.IncidenceNo.IncidenceIRR (95% CI) P ValueIRR (95% CI) P Value
All LE injuries2454.002695.300.77 (0.59-1.01) .06 0.78 (0.59-1.03).079
Noncontact LE971.601292.500.64 (0.47-0.86) .003 0.64 (0.47-0.88) .006
Noncontact ankle260.43370.720.59 (0.39-0.91) .02 0.61 (0.39-0.94) .026
Noncontact knee170.28200.390.72 (0.42-1.22).220.71 (0.42-1.21).210
Noncontact joint/ligament310.51460.900.57 (0.37-0.88) .01 0.58 (0.37-0.91) .018
Noncontact muscle480.79611.190.67 (0.43-1.03).070.68 (0.43-1.08).100
Intervention Group (n = 117)Control Group (n = 163)Unadjusted IRR (n = 280)IRR Adjusted for Age (n = 280)
Injury type: femaleNo.IncidenceNo.IncidenceIRR (95% CI) P ValueIRR (95% CI) P Value
All LE injuries656.20776.200.98 (0.53-1.80).950.98 (0.53-1.80).95
Noncontact LE323.00443.600.85 (0.38-1.88).680.84 (0.38-1.86).68
Noncontact ankle141.33231.860.70 (0.35-1.42).330.70 (0.35-1.37).29
Noncontact knee40.3850.400.94 (0.48-1.83).850.96 (0.49-1.86).91
Noncontact joint/ligament171.61231.860.86 (0.52-1.42).550.85 (0.52-1.39).53
Noncontact muscle90.85161.300.66 (0.20-2.24).510.66 (0.19-2.25).51

The reference group for the incidence rate ratio (IRR) is the control group. Incidence is per 1000 hours of exposure. Bolded P values indicate statistical significance (P ≤ .05). LE, lower extremity.

Results of the Negative Binomial Regression Analysis of Acute Lower Extremity Injuries Overall and by Sex The reference group for the incidence rate ratio (IRR) is the control group. Incidence is per 1000 hours of exposure. Bolded P values indicate statistical significance (P ≤ .05). LE, lower extremity.

Noncontact Injuries

Significantly fewer acute noncontact LE injuries occurred in the intervention group: the injury incidence rates were 1.8 and 2.7 per 1000 hours of exposure in the intervention and control groups, respectively (unadjusted IRR, 0.67 [95% CI, 0.48-0.93]; adjusted IRR, 0.68 [95% CI, 0.51-0.93]). Significant reductions in the incidence rates were also seen in the subanalyses of acute noncontact injuries, and the margins were greatest in joint/ligament injuries (by 38% in the unadjusted model) and in ankle injuries (41%) (Table 2). There were no differences in the incidence of contact LE injuries between groups (Appendix Table A1).
Appendix Table A1

Contact Injuries by Injury Site

Intervention Group (n = 673)Control Group (n = 730)Unadjusted IRR (n = 1403)IRR Adjusted for Age and Sex (n = 1403)
No.IncidenceNo.IncidenceIRR (95% CI) P ValueIRR (95% CI) P Value
Hip/groin20.0340.10.45 (0.10-1.96).290.43 (0.10-1.86).26
Thigh270.4180.31.35 (0.68-2.70).391.38 (0.69-2.77).37
Knee400.6450.70.79 (0.49-1.29).350.80 (0.49-1.32).39
Shin/calf/Achilles tendon200.3190.30.94 (0.46-1.90).860.94 (0.48-1.86).87
Ankle560.8611.00.82 (0.53-1.26).370.83 (0.54-1.27).39
Foot/toe360.5260.41.25 (0.71-2.20).441.22 (0.71-2.10).48
Total1812.51732.70.94 (0.70-1.28).710.95 (0.70-1.29).75

Incidence is per 1000 hours of exposure. IRR, incidence rate ratio.

In the sex subgroup analyses, significant differences in the incidence rate reduction for boys were seen for the intervention group in all acute noncontact LE injuries as well as in ankle and joint/ligament injuries. No differences in the incidence rates were seen in the girls (Table 2).

Injury Severity

The number of injuries was too small for analyzing each severity group separately. Most acute LE injuries resulted in a time loss of between 0 and 7 days from soccer (n = 478; 73%), and the patterns of injury severity did not differ between the groups. Of the acute noncontact injuries, a total of 199 (66%) caused a time loss of between 0 and 7 days. The incidence of acute noncontact LE injuries resulting in ≤7 days of time loss was smaller in the intervention group compared with the control group (unadjusted IRR, 0.66 [95% CI, 0.45-0.97]; adjusted IRR, 0.67 [95% CI, 0.47-0.96]).

Team Adherence

The average number of NMT warm-up sessions was 1.7 per week in a team throughout follow-up. On an average follow-up week, 63% of the teams conducted the NMT warm-up at least twice (Table 3). Adherence to the NMT warm-up was higher in January than late in the study period. Almost all (95%) of the teams conducted 1 or more sessions during more than 75% of the weeks. The mean session length was 25 minutes (range, 10-70 minutes).
Table 3

Adherence to the Neuromuscular Training Warm-up Program

Average No. of Sessions per Week for a TeamNo. of Teams That Reached the Target No. of Sessions% of Teams That Reached the Target No. of Sessions
January2.135/4480
February b 1.626/4461
March1.833/4475
April1.525/4457
May1.625/4458
June1.220/4445
Mean1.727/4463

The target number of warm-up sessions was 2 or more per week per team. Fifteen out of 44 teams conducted the target number of sessions during 75% of the weeks. A total of 42 out of 44 teams conducted 1 or more sessions during more than 75% of the weeks.

Low February adherence due to a 1-week national holiday season.

Adherence to the Neuromuscular Training Warm-up Program The target number of warm-up sessions was 2 or more per week per team. Fifteen out of 44 teams conducted the target number of sessions during 75% of the weeks. A total of 42 out of 44 teams conducted 1 or more sessions during more than 75% of the weeks. Low February adherence due to a 1-week national holiday season. A total of 34 of 48 teams (71%) in the control group responded to the questionnaire considering injury preventive measures during the study period. A total of 25 teams (74% out of all answers) reported having conducted some sort of weekly injury prevention strategy bearing similarity to the NMT warm-up examined in this study. In their weekly training, most control teams included planks (94% of the teams who answered), single-leg squats and/or lunges (82%), and single-leg jumps (82%), while hip muscle strength training was less popular (41%).

Discussion

Main Findings

In this trial, we examined the effects of an NMT warm-up on the incidence of acute LE injuries in a large cohort (n = 1403) of 9- to 14-year-old children playing soccer competitively. For the main outcome of all acute LE injuries, no statistically significant between-group difference was seen. The most important finding in our study was that the incidence of acute noncontact LE injuries was reduced by 32% in the intervention group compared with the control group. Statistically and clinically significant reductions in the injury incidence between the 2 groups were also seen in many subanalyses of acute noncontact injuries, most importantly in ankle injuries and joint/ligament injuries. Currently, a limited number of studies have investigated injury prevention in children’s soccer. In recent studies, an NMT warm-up similar to ours reduced the overall injury risk in the intervention group by 48% and 50% among 7- to 12-year-old and 7- to 14-year-old soccer players. In an older age group (13- to 18-year-old players), other researchers have observed nonsignificant decreases of 17% to 32% in the risk for overall LE injuries. In these earlier studies, the longer follow-up period (range, 4-9 months) might explain the more conclusive results compared with our study. We observed that the intervention group had more training hours compared with the control group. Although we instructed them to include the NMT warm-up during usual practice hours, the execution in some of the intervention clubs might have resulted in an increase in training exposure. This difference in exposure should be addressed as a confounding factor in the interpretation of the results from this study: increased exposure might decrease the effect of the intervention on injury risk seen in the study, although exposure hours were taken into account in the analysis. The awareness of injury prevention has also increased recently, and some NMT means were already in practice on a regular basis in youth soccer; this “contamination” makes it more difficult to point out differences. Unfortunately, a national knee injury prevention program led by the Finnish Football Association took place at the time of our study, and some control groups took part in it. The type and severity of injuries we observed were in concordance with previous research. The injuries were mostly classified as mild, as expected when studying a population this young. Severe injuries, such as tears of the anterior cruciate ligament of the knee, were absent. In line with findings in an age-comparable Norwegian soccer cohort, the more severe injuries seem not to come into the picture until the intensity and speed of play increases during maturation toward adulthood.

Strengths and Limitations of the Study

The studied intervention was operated by the teams’ own coaches in their everyday practice and not by study personnel. Therefore, the studied NMT warm-up seems to be applicable for easy implementation in children’s soccer. The sample studied was large and representative of 9- to 14-year-old Finnish children playing competitive soccer. Recruited players were adherent in answering the weekly injury questionnaire, and the withdrawal rate was low. Both boys and girls were represented in the study population, and players in the study were recruited from both big clubs in big cities and smaller clubs in the periphery of Finland. A limitation of the study was different recording methods for practice and game exposure. Players’ practice hours were collected by the SHA (web-based player diary). Game exposure was calculated for entire teams based on the number of games played by the team. Thus, training and game exposure data were not fully compatible together. The adherence of the teams to the NMT warm-up toward the end of the follow-up was inadequate, as the adherence decreased from 80% in January to 45% in June. The same pattern of decreasing adherence has been witnessed in earlier studies too, and research on the effective implementation of injury prevention programs is called for in the future. We did not allow research team members to monitor and control the intervention training on a regular basis. Only 2 to 3 random unannounced checkups were conducted for each club. Thus, adherence to the intervention was determined largely by each team's coach only referring to real-life settings. We hypothesize that with a higher adherence of the participating teams, this training program would have become more effective concerning the main outcome measure of the study, the incidence of the overall acute LE injuries. Earlier research has reported lower injury incidence among more adherent participants to NMT intervention measures in youth soccer and floorball. Finally, the number of female participants was too low to point out differences in female-only analyses, and no conclusions can be drawn on between-sex differences based on the results from this study. Further research in U14 female youth soccer on the efficacy of NMT in injury prevention is warranted.

Conclusion

The NMT warm-up operated by team coaches was effective in preventing acute noncontact LE injuries in children’s soccer, although no difference was seen in the overall acute LE injury incidence. However, the results of this study advocate for the beneficial effect of the NMT warm-up in reducing injury risk in children’s soccer. We encourage soccer coaches and health care professionals to take grassroots-level action in the use of NMT warm-up methods.
  28 in total

1.  Injury history as a risk factor for incident injury in youth soccer.

Authors:  K L Kucera; S W Marshall; D T Kirkendall; P M Marchak; W E Garrett
Journal:  Br J Sports Med       Date:  2005-07       Impact factor: 13.800

2.  Exercise program for prevention of groin pain in football players: a cluster-randomized trial.

Authors:  P Hölmich; K Larsen; K Krogsgaard; C Gluud
Journal:  Scand J Med Sci Sports       Date:  2010-12       Impact factor: 4.221

Review 3.  Health benefits of different sport disciplines for adults: systematic review of observational and intervention studies with meta-analysis.

Authors:  Pekka Oja; Sylvia Titze; Sami Kokko; Urho M Kujala; Ari Heinonen; Paul Kelly; Pasi Koski; Charlie Foster
Journal:  Br J Sports Med       Date:  2015-01-07       Impact factor: 13.800

Review 4.  Current trends in sport injury prevention.

Authors:  Carolyn A Emery; Kati Pasanen
Journal:  Best Pract Res Clin Rheumatol       Date:  2019-02-23       Impact factor: 4.098

5.  The FIFA 11+ program is effective in preventing injuries in elite male basketball players: a cluster randomized controlled trial.

Authors:  Umile Giuseppe Longo; Mattia Loppini; Alessandra Berton; Andrea Marinozzi; Nicola Maffulli; Vincenzo Denaro
Journal:  Am J Sports Med       Date:  2012-03-13       Impact factor: 6.202

6.  Risk factors for acute knee injury in female youth football.

Authors:  Martin Hägglund; Markus Waldén
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2015-12-24       Impact factor: 4.342

7.  Injury incidence and injury patterns in professional football: the UEFA injury study.

Authors:  J Ekstrand; M Hägglund; M Waldén
Journal:  Br J Sports Med       Date:  2009-06-23       Impact factor: 13.800

8.  Prevention of acute knee injuries in adolescent female football players: cluster randomised controlled trial.

Authors:  Markus Waldén; Isam Atroshi; Henrik Magnusson; Philippe Wagner; Martin Hägglund
Journal:  BMJ       Date:  2012-05-03

9.  Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.

Authors: 
Journal:  Lancet       Date:  2017-09-16       Impact factor: 79.321

10.  Neuromuscular training and the risk of leg injuries in female floorball players: cluster randomised controlled study.

Authors:  Kati Pasanen; Jari Parkkari; Matti Pasanen; Hannele Hiilloskorpi; Tanja Mäkinen; Markku Järvinen; Pekka Kannus
Journal:  BMJ       Date:  2008-07-01
View more
  1 in total

Review 1.  Effectiveness of Warm-Up Intervention Programs to Prevent Sports Injuries among Children and Adolescents: A Systematic Review and Meta-Analysis.

Authors:  Liyi Ding; Jianfeng Luo; Daniel M Smith; Marcia Mackey; Haiqing Fu; Matthew Davis; Yanping Hu
Journal:  Int J Environ Res Public Health       Date:  2022-05-23       Impact factor: 4.614

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.