| Literature DB >> 31091293 |
Karen D Liller1, Barbara Morris2, Yingwei Yang1, Omonigho M Bubu3, Brad Perich1, Jessica Fillion1.
Abstract
BACKGROUND: The specific research aims of this study included: 1) Conduct an epidemiologic analysis of recreational sports injuries among 1500 children, ages 5-11 in Florida: and 2) Utilize the computerized pediatric concussion tool from ImPACT Applications, Inc. for baseline and follow-up testing to better understand these injuries. This research followed a prospective surveillance design utilizing a large cohort of children, ages, 5-11, who play recreational football, soccer, and baseball/softball in Florida. The study venue was a large athletic facility in Hillsborough County, Florida. The sports observed were soccer (girls' and boys'), baseball, softball, and football. Internal and external advisory boards were consulted throughout the study.Entities:
Mesh:
Year: 2019 PMID: 31091293 PMCID: PMC6519825 DOI: 10.1371/journal.pone.0216217
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Year 1 and Year 2 sports-related injuries in competitions (C) and practices (P) among 5–11 year old athletes playing in recreational leagues in Hillsborough County, Florida (N = 26).
| Sports | Year 1 | Year 2 | ||||
|---|---|---|---|---|---|---|
| Athletic Exposures | Injuries N = 18 | Injury Rate (per 1000) | Athletic Exposures | Injuries N = 8 | Injury Rate (per 1000) | |
| Football-C | 847 | 1 | 1.18 | 638 | 0 | 0 |
| Football-P | 2923 | 2 | 0.68 | 2954 | 0 | 0 |
| Softball-C | 3192 | 2 | 0.63 | 2731 | 0 | 0 |
| Softball-P | 3004 | 1 | 0.33 | 3668 | 1 | 0.27 |
| Soccer (Girls’)-C | 2982 | 2 | 0.67 | 2594 | 3 | 1.16 |
| Soccer (Girls’)-P | 4730 | 1 | 0.21 | 5275 | 0 | 0 |
| Soccer (Boys’)-C | 5016 | 3 | 0.60 | 4421 | 1 | 0.23 |
| Soccer (Boys)’-P | 8058 | 2 | 0.25 | 10518 | 3 | 0.29 |
| Baseball-C | 9446 | 4 | 0.42 | 9122 | 0 | 0 |
| Baseball-P | 6995 | 0 | 0 | 5156 | 0 | 0 |
Year 1 Injury diagnoses by sport in RIO (N = 18).
| Diagnosis | Boys’ Soccer | Baseball | Football | Girls’ Soccer | Softball | Total | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N | % | N | % | N | % | N | % | N | % | N | % | |
| Concussion | 3 | 16.67 | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 1 | 5.56 | 4 | 22.22 |
| Fracture | 1 | 5.56 | 2 | 11.11 | 1 | 5.56 | 0 | 0.00 | 0 | 0.00 | 4 | 22.22 |
| Contusion | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 2 | 11.11 | 1 | 5.56 | 3 | 16.67 |
| Ligament sprain | 0 | 0.00 | 1 | 5.56 | 1 | 5.56 | 1 | 5.56 | 0 | 0.00 | 3 | 16.67 |
| Dislocation | 0 | 0.00 | 1 | 5.56 | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 1 | 5.56 |
| Heat illness/injury | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 1 | 5.56 | 1 | 5.56 |
| Laceration | 1 | 5.56 | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 1 | 5.56 |
| Separation | 0 | 0.00 | 0 | 0.00 | 1 | 5.56 | 0 | 0.00 | 0 | 0.00 | 1 | 5.56 |
| 5 | 27.78 | 4 | 22.22 | 3 | 16.67 | 3 | 16.67 | 3 | 16.67 | 18 | 100.00 | |
Linear regression for age and sex (N = 657).
| Beta Estimate | Standard Error | t-value | p-value | |
|---|---|---|---|---|
| Age | 0.46 | 0.04 | 12.57 | |
| Sex (Ref: Male) | ||||
| Female | 0.56 | 1.03 | -0.54 | 0.59 |
| Age* Sex | 0.02 | 0.08 | -0.27 | 0.79 |
| Age | 0.2 | 0.02 | 11.24 | |
| Sex (Ref: Male) | ||||
| Female | -0.81 | 0.5 | -1.62 | 0.11 |
| Age* Sex | 0.02 | 0.04 | 0.55 | 0.58 |
| Age | -1.54 | 0.16 | -9.32 | |
| Sex (Ref: Male) | ||||
| Female | -0.71 | 4.64 | -0.15 | 0.88 |
| Age* Sex | -0.46 | 0.35 | -1.30 | 0.19 |
| Age | 0.03 | 0.02 | 1.49 | 0.14 |
| Sex (Ref: Male) | ||||
| Female | -0.53 | 0.48 | -1.10 | 0.27 |
| Age* Sex | 0.0005 | 0.04 | 0.15 | 0.88 |
*p < .0125