| Literature DB >> 26535279 |
Theresa L Miyashita1, Eleni Diakogeorgiou1, Brian Hellstrom2, Nick Kuchwara2, Erica Tafoya2, Lori Young2.
Abstract
BACKGROUND: The perception high school athletes have regarding concussions may influence their injury-reporting behavior, and if their perceptions are based on incorrect or incomplete information, they may be at risk for subsequent head injuries.Entities:
Keywords: concussions; education; high school athletes; knowledge
Year: 2014 PMID: 26535279 PMCID: PMC4555556 DOI: 10.1177/2325967114554549
Source DB: PubMed Journal: Orthop J Sports Med ISSN: 2325-9671
Descriptive Statistics on Concussion Perspectives
| Variable | % | n |
|---|---|---|
| Believe there are long-term effects | 95.6 | 434 |
| Believe they are not immune to the long-term effects | 79.1 | 359 |
| Believe learning/education will be affected | 91.9 | 417 |
| Believe the importance of a game should affect return-to-play decisions | 50.9 | 231 |
| Believe baseline testing is important | 83.0 | 377 |
| Believe dizziness is the most common symptom | 33.7 | 154 |
| Reported having their “bell rung” | 65.4 | 297 |
| Reported having at least 1 concussion before educational lecture | 38.0 | 172 |
| Reported having at least 1 concussion after lecture | 64.3 | 292 |
| More likely to report after lecture | 67.4 | 306 |
Reported Number of Sustained Concussions by Sport
| Sport | PMH Before Educational Lecture | Bell Rung | PMH After Educational Lecture |
|---|---|---|---|
| Football | 41 | 61 | 53 |
| Cheerleading | 32 | 51 | 62 |
| Girls’ soccer | 17 | 28 | 29 |
| Boys’ soccer | 18 | 34 | 32 |
| Volleyball | 12 | 29 | 19 |
| Girls’ basketball | 8 | 17 | 21 |
| Boys’ basketball | 9 | 18 | 19 |
| Girls’ lacrosse | 6 | 9 | 10 |
| Boys’ lacrosse | 12 | 23 | 22 |
| Wrestling | 17 | 27 | 25 |
| Total | 172 | 297 | 292 |
PMH, previous medical history.
≤ .05 between reported concussion history before and after lecture.
≤ .01 between reported concussion history before and after lecture.
Comparison by Sport Regarding the Importance of a Game on Return-to-Play Decisions
| Sport | n | Mean ± SD | Game Is Important, n | Game Is Not Important, n |
|---|---|---|---|---|
| Football | 68 | 1.26 ± 0.44 | 50 | 18 |
| Girls’ soccer | 46 | 1.65 ± 0.48 | 16 | 30 |
| Boys’ soccer | 48 | 1.59 ± 0.50 | 24 | 24 |
| Volleyball | 44 | 1.50 ± 0.51 | 22 | 22 |
| Girls’ basketball | 25 | 1.60 ± 0.50 | 10 | 15 |
| Boys’ basketball | 29 | 1.66 ± 0.48 | 10 | 19 |
| Girls’ lacrosse | 22 | 1.64 ± 0.49 | 8 | 14 |
| Boys’ lacrosse | 34 | 1.47 ± 0.51 | 18 | 16 |
| Cheerleading | 82 | 1.40 ± 0.49 | 49 | 33 |
| Wrestling | 30 | 1.37 ± 0.49 | 19 | 11 |
≤ .01.
Comparison by Sport Regarding the Importance of a Game on RTP Decisions: 1-Way ANOVA Summary
| Source |
| SS | MS |
|
|
|---|---|---|---|---|---|
| Between groups | 10 | 8.489 | 0.849 | 3.582 | <.001 |
| Within groups | 443 | 104.976 | 0.237 | ||
| Total | 445 | 113.465 |
ANOVA, analysis of variance; MS, mean squares; RTP, return to play; SS, sum of squares.