2014
DOI: 10.1097/jsm.0000000000000029
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Tennis-Related Injuries Treated in United States Emergency Departments, 1990 to 2011

Abstract: Objective: To analyze the patterns and causes of tennis-related injuries using, for the first time, a nationally representative dataset. Design:A retrospective cohort analysis was performed using the National Electronic Injury Surveillance System database.Setting: All tennis-related injuries treated in U.S. emergency departments (EDs) from 1990 to 2011 were analyzed.Patients: During the study period, an estimated 492,002 (95% CI=364668-619336) individuals, ages 5 to 94 years, presented to U.S. EDs for tennis-r… Show more

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Cited by 30 publications
(29 citation statements)
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References 27 publications
(25 reference statements)
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“…Taking into account global injury location, the most commonly injured body regions were the upper and lower limbs. Similar data was observed in an 11-year longitudinal study about emergency tennis-related injuries treated in the United States [13]. As has been shown, the incidence of specific joint lesions due to paddle-tennis is located mainly in the elbow, lower back and knee.…”
Section: Discussionsupporting
confidence: 69%
“…Taking into account global injury location, the most commonly injured body regions were the upper and lower limbs. Similar data was observed in an 11-year longitudinal study about emergency tennis-related injuries treated in the United States [13]. As has been shown, the incidence of specific joint lesions due to paddle-tennis is located mainly in the elbow, lower back and knee.…”
Section: Discussionsupporting
confidence: 69%
“…Strains and sprains are common injuries in athletes across competition levels 9,13,22,23,31,32 ; however, they are not typically considered conditions necessitating emergency transport. In our study, strains were the leading diagnosis among ETIs in collegiate sports and the third leading diagnosis among ETIs in high school sports.…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, the NEISS uses validated algorithms created by the CPSC, utilizing cluster variables and sample weighting to calculate estimates of national injury incidence totals for large‐scale data interpretation. Secondary to these strengths, the NEISS has been utilized in numerous analyses spanning a variety of medical specialties …”
Section: Methodsmentioning
confidence: 99%