Evidence map›Paper›PMID 17710171›Full record

ArticleJournal of athletic training

Descriptive epidemiology of collegiate women's gymnastics injuries: National Collegiate Athletic Association Injury Surveillance System, 1988-1989 through 2003-2004.

Stephen W Marshall, Tracey Covassin, Randall Dick, Lawrence G Nassar, Julie Agel

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Article in Journal of athletic training. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Stephen W MarshallUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Tracey Covassin
Randall Dick
Lawrence G Nassar
Julie Agel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo review 16 years of National Collegiate Athletic Association (NCAA) injury surveillance data for women's gymnastics and identify potential areas for injury prevention initiatives.

backgroundIn the 1988-1989 academic year, 112 schools were sponsoring varsity women's gymnastics teams, with approximately 1550 participants. By 2003-2004, the number of varsity teams had decreased 23% to 86, involving 1380 participants. Significant participation reductions during this time were particularly apparent in Divisions II and III. MAIN

resultsA significant annual average decrease was noted in competition (-4.0%, P < .01) but not in practice (-1.0%, P = .35) injury rates during the sample period. Over the 16 years, the rate of injury in competition was more than 2 times higher than in practice (15.19 versus 6.07 injuries per 1000 athlete-exposures; rate ratio = 2.5, 95% confidence interval [CI] = 2.3, 2.8). A total of 53% of all competition and 69% of all practice injuries were to the lower extremity. A participant was almost 6 times more likely to sustain a knee internal derangement injury in competition than in practice (rate ratio = 5.7, 95% CI = 4.5, 7.3) and almost 3 times more likely to sustain an ankle ligament sprain (rate ratio = 2.7, 95% CI = 2.1, 3.4). The majority of competition injuries (approximately 70%) resulted from either landings in floor exercises or dismounts. RECOMMENDATIONS: Gymnasts with a previous history of ankle sprain should either wear an ankle brace or use prophylactic tape on their ankles to decrease the risk of recurrent injury. Preventive efforts may incorporate more neuromuscular training and core stability programs in the off-season and preseason conditioning to enhance proper landing and skill mechanics. Equipment manufacturers are encouraged to reevaluate the design of the landing mats to allow for better absorption of forces.

Indexed as

Athletic InjuriesConfidence IntervalsFemaleGymnasticsHumansIncidencePopulation SurveillanceRetrospective StudiesSchoolsUnited States

Identifiers

PMID17710171
PMCPMC1941288

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.