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

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          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).

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          Most cited references28

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          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

          Summary Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined. Findings Since 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124·1 million DALYs [95% UI 111·2 million to 137·0 million]), high systolic blood pressure (122·2 million DALYs [110·3 million to 133·3 million], and low birthweight and short gestation (83·0 million DALYs [78·3 million to 87·7 million]), and for women, were high systolic blood pressure (89·9 million DALYs [80·9 million to 98·2 million]), high body-mass index (64·8 million DALYs [44·4 million to 87·6 million]), and high fasting plasma glucose (63·8 million DALYs [53·2 million to 76·3 million]). In 2016 in 113 countries, the leading risk factor in terms of attributable DALYs was a metabolic risk factor. Smoking remained among the leading five risk factors for DALYs for 109 countries, while low birthweight and short gestation was the leading risk factor for DALYs in 38 countries, particularly in sub-Saharan Africa and South Asia. In terms of important drivers of change in trends of burden attributable to risk factors, between 2006 and 2016 exposure to risks explains an 9·3% (6·9–11·6) decline in deaths and a 10·8% (8·3–13·1) decrease in DALYs at the global level, while population ageing accounts for 14·9% (12·7–17·5) of deaths and 6·2% (3·9–8·7) of DALYs, and population growth for 12·4% (10·1–14·9) of deaths and 12·4% (10·1–14·9) of DALYs. The largest contribution of trends in risk exposure to disease burden is seen between ages 1 year and 4 years, where a decline of 27·3% (24·9–29·7) of the change in DALYs between 2006 and 2016 can be attributed to declines in exposure to risks. Interpretation Increasingly detailed understanding of the trends in risk exposure and the RRs for each risk-outcome pair provide insights into both the magnitude of health loss attributable to risks and how modification of risk exposure has contributed to health trends. Metabolic risks warrant particular policy attention, due to their large contribution to global disease burden, increasing trends, and variable patterns across countries at the same level of development. GBD 2016 findings show that, while it has huge potential to improve health, risk modification has played a relatively small part in the past decade. Funding The Bill & Melinda Gates Foundation, Bloomberg Philanthropies.
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            Consort 2010 statement: extension to cluster randomised trials.

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

              To study the injury characteristics in professional football and to follow the variation of injury incidence during a match, during a season and over consecutive seasons. Prospective cohort study where teams were followed for seven consecutive seasons. Team medical staff recorded individual player exposure and time-loss injuries from 2001 to 2008. European professional men's football. The first team squads of 23 teams selected by the Union of European Football Associations as belonging to the 50 best European teams. Injury incidence. 4483 injuries occurred during 566 000 h of exposure, giving an injury incidence of 8.0 injuries/1000 h. The injury incidence during matches was higher than in training (27.5 vs 4.1, p<0.0001). A player sustained on average 2.0 injuries per season, and a team with typically 25 players can thus expect about 50 injuries each season. The single most common injury subtype was thigh strain, representing 17% of all injuries. Re-injuries constituted 12% of all injuries, and they caused longer absences than non re-injuries (24 vs 18 days, p<0.0001). The incidence of match injuries showed an increasing injury tendency over time in both the first and second halves (p<0.0001). Traumatic injuries and hamstring strains were more frequent during the competitive season, while overuse injuries were common during the preseason. Training and match injury incidences were stable over the period with no significant differences between seasons. The training and match injury incidences were stable over seven seasons. The risk of injury increased with time in each half of matches.
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                Author and article information

                Journal
                Orthop J Sports Med
                Orthop J Sports Med
                OJS
                spojs
                Orthopaedic Journal of Sports Medicine
                SAGE Publications (Sage CA: Los Angeles, CA )
                2325-9671
                28 April 2021
                April 2021
                : 9
                : 4
                : 23259671211005769
                Affiliations
                []Tampere Research Center of Sports Medicine, UKK Institute for Health Promotion Research, Tampere, Finland.
                []UKK Institute for Health Promotion Research, Tampere, Finland.
                [§ ]Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
                []Institute for Molecular Medicine (FIMM), University of Helsinki, Helsinki, Finland.
                []Oslo Sports Trauma Research Center, Norwegian School of Sport Sciences, Oslo, Norway.
                [# ]Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
                [** ]Research Institute for Olympic Sports, Jyväskylä, Finland.
                [†† ]Department of Physical Therapy Education, College of Health Sciences, Western University of Health Sciences, Lebanon, Oregon, USA.
                [‡‡ ]Sport Injury Prevention Research Centre, Faculty of Kinesiology, Ringgold 2129, universityUniversity of Calgary; , Calgary, Alberta, Canada.
                [§§ ]Alberta Children’s Hospital Research Institute, Ringgold 2129, universityUniversity of Calgary; , Calgary, Alberta, Canada.
                [∥∥ ]McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
                [12-23259671211005769] Investigation performed at Tampere Research Center of Sports Medicine, UKK Institute for Health Promotion Research, Tampere, Finland
                Author notes
                [*] [* ]Matias Hilska, BM, UKK Institute, Kaupinpuistonkatu 1, 33500 Tampere, Finland (email: mvvhil@ 123456utu.fi ).
                Article
                10.1177_23259671211005769
                10.1177/23259671211005769
                8822004
                35146027
                fcc3fb92-f349-4cf9-92ee-adb3342d1a24
                © The Author(s) 2021

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License ( https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 20 January 2021
                : 16 February 2021
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                injury prevention,neuromuscular training,soccer,children

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