Prevalence of back pain in elite athletes

Trompeter, Katharina; Fett, Daniela; Brüggemann, G.-P.; Platen, Petra

doi:10.5960/dzsm.2018.336

Cited by 15 publications

(14 citation statements)

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“…The most common injuries were: Lumbar muscle strains (65 injuries (12.28% of the total)), ankle sprains (63 injuries (11.91% of the total)), and bone fractures (49 injuries (9.31% of the total)). These results are consistent with Hootman et al [ 34 ] and Trompeter et al [ 35 ], since they also verify the high incidence of lumbar injuries and ankle sprains. By anatomical region, the three areas that concentrated the highest number of injuries were, respectively, ankles (36.12%), knees (19.32%), and shoulders (6.47%).…”

Section: Discussionsupporting

confidence: 93%

Epidemiology of Sports-Related Injuries and Associated Risk Factors in Adolescent Athletes: An Injury Surveillance

Prieto-González

Martínez-Castillo

Fernández-Galván

et al. 2021

IJERPH

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The present study aimed to determine the epidemiology of sport-related injuries in amateur and professional adolescent athletes and the incidence of different risk factors on those injuries. Four hundred ninety-eight athletes aged 14 to 21 voluntarily participated in this prospective injury surveillance, conducted from 1 January 2019 to 31 December 2019. The information collected included: personal data, sports aspects, characteristics of the injuries, and lifestyle. Forty point four percent of the participants suffered an injury in 2019 (39% of them in a previously injured area). The average injury rate was 2.64 per 1000 h. Soccer presented the highest rate (7.21). The most common injuries were: lumbar muscle strains (12.24%), ankle sprains (11.98%), and bone fractures (9.31%). Ankles (36.12%), knees (19.32%), and shoulders (6.47%) concentrated the highest number of injuries. Fifty-nine point twenty-eight percent of the injuries occurred during practices, and 40.72% during competition or peri-competition. Higher injury rates were associated (in this order) with the following factors: (a) Greater number of hours of practice per week. (b) Not performing warm-ups. (c) Using inadequate sports facilities. (d) Being aged 14–17. (e) Not performing physical preparation. (f) Inappropriate training load. (g) Not performing injury-preventive activities. (h) Performing sports technique without the supervision of one sports coach. (i) Inadequate sports equipment. In conclusion, since most injury risk factors are modifiable, it is imperative to implement strategies to reduce amateur and professional adolescent athletes’ injury rates.

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Section: Discussionsupporting

confidence: 93%

Epidemiology of Sports-Related Injuries and Associated Risk Factors in Adolescent Athletes: An Injury Surveillance

Prieto-González

Martínez-Castillo

Fernández-Galván

et al. 2021

IJERPH

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“…Of these spinal injuries, the lumbar region was the most commonly injured reporting 83.1% of all spine injuries. Although the most commonly prescribed treatment modality was physical therapy (40.4%), surgery was required in six patients (6.7%), and is comparable to other high-intensity competitive weightlifters as described in previous and actual studies ( [2] , [30] , [36] , [37] ).…”

Section: Crossfit – Injuries Of the Spine With Neurological Symptomsmentioning

confidence: 52%

CrossFit® – Development, Benefits and Risks

Wagener

Hoppe

Hotfiel

et al. 2020

Sports Orthopaedics and Traumatology

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“…Athletes often exercise beyond the point of healthy living and develop acute and chronic pain from injuries, overtraining, and too little rest [1,2] The pressure to perform well, particularly during times of injury or performance plateaus, create a situation of increased risk for anxiety, depression, and lack of sleep leading to deficits in well-being [3].…”

Section: Introductionmentioning

confidence: 99%

Cannabis use in active athletes: Behaviors related to subjective effects

Zeiger¹,

Silvers

Fleegler³

et al. 2019

PLoS ONE

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Cannabis use has not been well characterized in athletes. Studies primarily examine problematic use or its categorization by anti-doping bodies as a banned substance. Patterns of use, reasons for use, and responses to cannabis consumption have not been studied in a community-based sample of adult athletes. The Athlete PEACE Survey examined cannabis use patterns and subjective effects to cannabis in a community-based cohort of adult athletes. We used mainly social media and email blasts to recruit and SurveyGizmo to collect data. 1,161 (91.1%) of the 1,274 athletes taking the survey completed it. Current cannabis use was evaluated by asking “In the past two weeks, have you used marijuana (including THC and/or CBD)?” and cannabis type used was assessed by asking “What do you primarily use THC, CBD, or both?”. Cannabis benefits and adverse effects (i.e. subjective effects) and patterns of use were reported. 302 athletes (26%) currently use cannabis of whom 301 had complete data for cluster analysis. Cluster analysis was used to determine cannabis user phenotypes and exploratory factor analysis (EFA) was used to create subjective effects factors. Associations between cannabis user phenotype clusters and the subjective effects factors were explored using multivariate analysis. Cluster analysis identified t hree statistically distinct cannabis user phenotypes: (1) older athletes who primarily use medical CBD, (2) mixed age athletes who use cannabis mainly recreationally with both THC and CBD use, and (3) mixed age athletes who used cannabis the longest with primary THC and CBD use. EFA showed three subjective effects factors: (1) Well-being, (2) Calm, and (3) Adverse. Mean positive subjective were higher than mean adverse subjective effects (p<0.001). The cluster using THC and CBD showed the highest mean scores for all three subjective effects factors (p<0.001). Athletes who use a combination of THC and CBD exhibited the most benefit to well-being and calm with minimal adverse effects. Our methodology can be used to develop real-world evidence to inform future use of medical cannabis products.

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Prevalence of back pain in elite athletes

Cited by 15 publications

References 0 publications

Epidemiology of Sports-Related Injuries and Associated Risk Factors in Adolescent Athletes: An Injury Surveillance

Epidemiology of Sports-Related Injuries and Associated Risk Factors in Adolescent Athletes: An Injury Surveillance

CrossFit® – Development, Benefits and Risks

Cannabis use in active athletes: Behaviors related to subjective effects

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