Dataset Information

Meniscal Injuries in the Olympic and Elite Athletes.

ABSTRACT:

Introduction

Elite and Olympian athletes are often stretching the upper limits of normal physiology and biomechanics of the musculoskeletal system in their efforts to excel in their sport. For them to get back to their sport at the same level after injury, the management, repair techniques, and rehabilitation protocols should be robust to permit healing of tissues to allow supra-normal loading and performance. The knee and the meniscus are commonly injured in these sports. Yet, the incidence, mechanisms, types of injuries to the meniscus, and their management are not known across different sports in the Olympics.

Methods

We set out to look into the incidence and the trends of publications on meniscal injuries of the knee in Olympic games. A search of the PubMed and Scopus for these injuries using a search strategy gave 79 and 116 articles, respectively.

Results

There were very few publications giving the incidence of meniscal injuries in the Olympics. Football is the sport with the highest rate of meniscal injuries. Different sports are popular in different countries, and depending on the popularity and the country reporting these injuries, incidences differed. There was data available from India and Brazil for Elite athlete from diverse sports, whereas most data from other countries were for football and soccer. Knee was found to be the second most commonly injured part of the body in both Winter and Summer Olympics as well as the Youth Winter Olympics. Data were not available from the Youth Summer Olympics to make any conclusions. The number of publications on this topic is low. We presented the timeline of publications and citations of articles on this topic. The top country, language, journal, university, and author were USA, English, American Journal of Sports Medicine, Hospital of Special Surgery in New York and Brophy RH, respectively. The data on the risk factors for meniscal injuries were analyzed, discussed, and presented for football, as this was the most extensively studied sport.

Conclusions

Even though the knee is one of the commonly injured anatomical locations in elite athletes, there is a lack of literature on meniscal injuries in this subset of population. We looked at possible reasons and made recommendations to improve data collection on these injuries.

SUBMITTER: Vaishya R

PROVIDER: S-EPMC7205913 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Publications

Meniscal Injuries in the Olympic and Elite Athletes.

Vaishya Raju R Kambhampati Srinivas B S SBS Vaish Abhishek A

Indian journal of orthopaedics 20200211 3

<h4>Introduction</h4>Elite and Olympian athletes are often stretching the upper limits of normal physiology and biomechanics of the musculoskeletal system in their efforts to excel in their sport. For them to get back to their sport at the same level after injury, the management, repair techniques, and rehabilitation protocols should be robust to permit healing of tissues to allow supra-normal loading and performance. The knee and the meniscus are commonly injured in these sports. Yet, the incid ...[more]

PMID: 32399147

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Project description:BackgroundRugby union and rugby league are popular team contact sports, but they bring a high risk of injury. Although previous studies have reported injury occurrence across one or several seasons, none have explored the total number of injuries sustained across an entire career. As the first to do so, the aim of this study was to report on cumulative injuries and their perceived long-term impact in retired rugby code athletes compared to athletes from non-contact sports.MethodsOne hundred and eighty-nine former rugby code athletes (rugby union n = 145; rugby league n = 44) and 65 former non-contact athletes were recruited to the UK Rugby Health Project between September 2016 and December 2018. Details on sports participation, sports injuries and concussion history, sports injury-related surgeries, and previous and current health were obtained from a validated, online self-report questionnaire.ResultsFormer elite rugby code athletes (n = 83) reported more total injuries per player (median 39, IQR 35) than former amateur rugby code athletes (n = 106; median 23, IQR 30; p = 0.014) and non-contact sports athletes (n = 65; median 7.5, IQR 15; p < 0.001). Concussion was the most frequently reported injury for the elite and amateur rugby code groups, followed by upper/lower back and knee ligament injuries. These injuries also presented with the highest recurrence. Rugby code groups reported a higher continued impact of previous concussion, neck injuries, shoulder dislocation, ACL tears, and knee ligament injuries (p = 0.003-0.045). The reported prevalence of osteoarthritis was more than twofold greater in the elite rugby code group than in non-contact athletes (51% v 22%, p < 0.001). The prevalence of back pain and/or severe and regular joint pain was high across all groups (47-80%), particularly the elite rugby code group. The total number of joint injuries and sport injury-related surgeries was higher in those who reported current osteoarthritis and current severe and regular joint pain (p < 0.001-p = 0.028).ConclusionAcross multiple injury types, past participation in rugby union and rugby league, particularly at elite level, is associated with a high cumulative injury load and a continued impact of previous injuries post-retirement. Given the high number of reported concussions (and their recurrence) and associations between previous injuries during a player's career and current musculoskeletal conditions, efforts should be prioritized to reduce the occurrence and recurrence of injuries in rugby codes at all levels of the sport. Strategies should also be developed for supporting the specific physical health needs of rugby code athletes post-retirement.

Dataset Information

Meniscal Injuries in the Olympic and Elite Athletes.

Introduction

Methods

Results

Conclusions

Publications

Meniscal Injuries in the Olympic and Elite Athletes.

Similar Datasets

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