Evidence map›Paper›PMID 37132625›Full record

ArticleSports health

Results of a National Survey on Sport Specialization Behavior and Throwing Arm Injury in Youth Softball Players.

Aaron Lear, Anne Marie Zeller, Suzy McNulty, Brett Bentley, Eric Post

Abstract read
In one paragraph

Article in Sports health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Aaron LearCleveland Clinic Akron General, Akron, Ohio.
Anne Marie ZellerDeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, Tennessee.
Suzy McNultyMia Bella Pediatrics, Mission Viejo, California.
Brett BentleyUniversity of Alabama, Tuscaloosa, Alabama.
Eric PostIndiana State University, Terra Haute, Indiana.ORCID 0000-0003-0268-0460

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are few data on throwing arm and shoulder injury in youth softball athletes, and no data on the influence of sport specialization on injury in softball. HYPOTHESIS: We hypothesized that highly specialized athletes, and pitchers in particular, demonstrating various sport specialization behaviors would be more likely to report an upper extremity overuse injury in the previous 12 months. STUDY

designCross-sectional survey. LEVEL OF EVIDENCE: Level 4.

methodsAn online, anonymous, cross-sectional survey was distributed to a national sample of female youth softball players between the ages of 12 and 18 years in fall 2021. Topics included were indicators of sport specialization and self-reported injuries to the throwing arm.

resultsA total of 1309 participants (mean age, 15.1 ± 1.7 years) completed the survey; 19.4% (N = 254) scored as highly specialized, 69.7% (N = 912) as moderately specialized, and 10.9% (N = 143) with low specialization. Of all participants, 27.3% (N = 357) pitched in the previous year. A minority of all players (43.7%; N = 572) reported arm injury in the previous 12 months, with 45.9% of pitchers (N = 164) reporting the same. Multivariate regression showed increased adjusted odds ratio (aOR) of injury history for athletes playing >30 games per year (aOR, 1.74; 95% CI, 1.26-2.40), participating on a club team (aOR, 3.36; 95% CI,1.85-6.07), and in pitchers participating on club teams (aOR, 2.97; 95% CI, 1.18-7.45). Decreased aOR of injury was noted in those participating in >8 months of softball per year (aOR, 0.25; 95% CI, 0.12-0.51) and in pitchers who were moderately specialized (aOR, 0.39; 95% CI, 0.17-0.92) and playing >8 months per year (aOR, 0.33; 95% CI, 0.11-0.96).

conclusionThis sample provides a large proportion of athletes classified as high or moderately specialized in youth softball (89%). A large proportion (43.7%) of subjects reported arm injury in the past year, and insight into injury risk is provided. The results present conflicting data on the risk versus protective effect of specialization in youth softball athletes. CLINICAL RELEVANCE: This project is a first step toward understanding sport specialization behavior and its influence on injury in youth softball.

Indexed as

Arm InjuriesAthletic InjuriesBaseballSportsAdolescentChildCross-Sectional StudiesFemaleHumansRisk FactorsSpecializationsoftballsport specializationthrowing arm

Identifiers

PMID37132625
PMCPMC11025500

What OpenQuestion holds

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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.