REFERENCES
There are many resources and all of them seem to have a pretty different range of time, some are older while some are newer. There isn't really a date all of them can line up with.
30 Matching Annotations
- Mar 2024
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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ACKNOWLEDGMENTS
Funding was provided by the NATA, which makes perfect sense as well as the Med Sports Systems of Iowa City, IA. Pretty interesting to know that someone from a Public Health Department was also involved.
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The best way to minimize the risk of injury in theyoung athlete is to provide participation opportunities that areunder the blanket of a well-designed and operational injuryprevention program.
Gives some good information on how this study can help injury prevention throughout other sports and schools with student athletes.
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1. Each sport has an inherent risk of injury based on the natureof the game and the activities of the players.2. Injury prevention programs should be in place for practicesessions as well as games.3. The prevention of reinjury through daily injury management isa critical component of an injury prevention program.4. Sex differences in knee surgery patterns are specific to thesport being considered.
We establish 4 important points and we receive the results from the study which gives us our conclusions that we have here.
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CONCLUSIONS
Our conclusions are provided under the headline, convenient and easy to find like most of the information on this article.
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he higher frequency of injuryduring practices is related to the high number of practicesessions, and, therefore, a large amount of exposure.
Answers my question on why there was more injuries in practice than games, gives a good and thorough explanation.
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The exception to this trend is volleyball, wherethe injury rate per 1000 athlete-exposures was 2.3 times higherin practice than in games.
Very interesting to see how in practices the injury rate was higher than in actual games, I wonder why this is.
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Table 8. Percentages of Reported New Injuries and Reinjuries for Selected High School SportsBoys' Sports Girls' SportsFieldBaseball Basketball Football Soccer Wrestling Basketball Hockey Softball Soccer VolleyballNew injury 89.1 89.7 90.0 91.6 89.6 86.4 89.4 90.3 89.6 89.4Reinjury 10.9 10.4 10.0 8.4 10.5 13.6 10.5 9.7 10.5 10.5Table 9. Reported Surgeries and Knee Surgeries for Selected High School SportsBoys' Sports Girls' SportsFieldBaseball Basketball Football Soccer Wrestling Basketball Hockey Softball Soccer VolleyballSurgeries 30 50 256 35 57 70 6 20 69 15Percentage of reported 3.5 2.6 2.4 2.0 2.0 4.0 1.2 2.2 3.9 2.5casesKnee surgeries 13 22 152 18 30 52 6 8 58 10Percentage of surgeries 43.3 44.0 59.4 51.4 52.6 74.3 100.0 40.0 84.1 66.7
Some of the last tables we see for this study, I really felt like these were useful and informative. One of the good things is that they are easy to read and not hard to understand like some other tables I have seen.
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Table 5. Percentages of Reported Injuries by Body Category for Selected High School SportsBoys' Sports Girls' SportsFieldBaseball Basketball Football Soccer Wrestling Basketball Hockey Softball Soccer VolleyballHead/neck/spine 1.9 3.3 13.3 4.1 9.5 4.3 3.1 3.2 4.9 2.9Face/scalp 8.9 10.0 2.2 4.6 7.0 6.7 13.5 8.0 4.8 1.6Shoulder/arm 19.7 2.4 12.0 2.4 18.4 2.4 3.1 16.3 1.9 9.4Forearm/wrist/hand 24.6 11.4 14.2 5.8 14.2 10.3 12.7 22.9 4.5 11.4Trunk 7.2 7.7 8.6 6.5 11.9 6.4 4.9 5.5 4.5 11.4Hip/thigh/leg 14.5 14.4 16.7 28.0 5.4 16.8 21.8 18.0 25.8 9.6Knee 10.5 11.1 15.1 15.1 14.8 15.7 13.7 10.8 19.4 11.1Ankle/foot 12.5 39.3 15.9 33.5 7.0 36.4 23.3 14.8 33.5 41.8Other 0.1 0.4 2.0 0.2 11.7 1.1 3.3 0.5 0.7 0.4Table 6. Percentage of Reported Injuries by Type of InjuryBoys' Sports Girls' SportsFieldBaseball Basketball Football Soccer Wrestling Basketball Hockey Softball Soccer VolleyballGeneral trauma 30.7 24.8 25.2 29.9 20.7 20.3 36.9 27.6 24.9 11.7Sprains 20.6 44.8 31.7 32.4 28.6 45.2 25.5 23.8 38.7 51.5Strains 31.2 15.1 21.0 22.8 23.2 17.7 20.2 32.2 22.4 26.4Fractures 8.8 8.6 7.5 8.5 6.3 6.8 5.9 8.4 5.8 3.7Musculoskeletal 6.6 2.2 1.8 1.8 2.6 4.0 4.1 3.8 2.3 4.1Neurotrauma 1.7 2.8 10.3 3.9 5.7 3.6 3.1 3.2 4.6 1.3General stress 0.3 1.4 2.4 0.7 13.0 2.1 4.1 1.0 1.2 1.3Table 7. Percentages of Reported Injuries by Severity CategoryBoys' Sports Girls' SportsFieldBaseball Basketball Football Soccer Wrestling Basketball Hockey Softball Soccer VolleyballMinor 69.0 75.5 72.5 74.6 67.4 72.1 79.6 77.1 72.5 75.0Moderate 18.5 14.5 16.3 15.0 17.8 15.4 13.3 15.1 15.4 17.1Major 12.5 9.9 11.2 10.4 14.8 12.4 7.1 7.8 12.1 7.8
More tables for us to read, we are swarmed with quantitative data in this article.
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Table 3. Reportable Injuries, Injured Players, and Injury Rates for Selected High School SportsBoys' Sports Girls' SportsFieldBaseball Basketball Football Soccer Wrestling Basketball Hockey Softball Soccer VolleyballReportable injuries 861 1933 10557 1765 2910 1748 510 910 1771 601Injured players 765 1538 7310 1521 2166 1399 442 785 1442 628Player rate/i 00 players 11.8 22.5 34.6 20.2 26.7 23.0 15.8 14.4 25.6 14.9Case rate/100 players 13.2 28.3 50.0 23.4 35.9 28.7 18.2 16.7 31.4 14.2Case rate/1000 athlete- 2.8 4.8 8.1 4.6 5.6 4.4 3.7 3.5 5.3 1.7exposuresTable 4. Percentages of Reported Injuries and Injury Rates by Type of Session for Selected High School SportsBoys' Sports Girls' SportsFieldBaseball Basketball Football Soccer Wrestling Basketball Hockey Softball Soccer VolleyballPracticePercentages of injuries 49.4 58.0 56.4 40.7 67.0 53.2 63.5 56.0 42.3 68.8Case rate/1000 athlete- 1.8 3.4 5.3 2.5 4.8 3.2 3.2 2.7 3.1 2.8exposuresGamePercentage of injuries 50.6 42.0 43.6 59.3 33.0 46.8 36.5 44.0 57.0 31.2Case rate/1000 athlete- 5.6 7.1 26.4 10.2 8.2 7.9 4.9 5.9 11.4 1.2exposuresIncidence density ratio 3.1 2.1 5.0 4.1 1.7 2.5 1.5 2.2 3.7 0.4Standard deviation 0.20 0.09 0.08 0.17 0.06 00.11 0.14 0.14 0.16 0.18
These tables contain more data gathered from the study and presented as the results, seem to be very applicable.
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The largest proportion of injuries in the fracture categorycame from boys' baseball (8.8%),
Didn't expect for baseball to be the largest proportion of injuries in the fracture category, I expected it to be soccer instead. Interesting.
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RESULTS
We have a lot of information under the "Results" headline, lots of data was gathered for them to present what their later results were.
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aggregate data for the 3 study years.
Data was gathered for 3 years and was used for this study.
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Table 2. Team-Seasons, Player-Seasons, and Athlete-Exposures for Selected High School SportsBoys' Sports Girls' SportsFieldBaseball Basketball Football Soccer Wrestling Basketball Hockey Softball Soccer VolleyballTeam-seasons 324 406 400 315 328 395 128 311 292 296Player-seasons 6502 6831 21122 7539 8117 6083 2805 5435 6642 4222Athlete-exposures 311 295 444338 1300446 385443 522608 394143 138073 258754 335512 359547
More data once again for us to look at, article is based on strong data analysis and numbers providing them evidence.
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Figure 2. Study participation by school enrollment size.
Some more data on the study participation.
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Figure 1. Certified athletic trainers participating in the study and membership by NATA district.
Graph that shows our quantitative data.
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Within this group of athletic trainers
All of this article is written in a third-person point of view.
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(Figure 1
Evidence, this points to a graph about ATC's in the study and ATC's in the NATA.
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Table 1. Operational Definitions Used in the NATA Injury Surveillance Study
Definitions are provided so it makes it easier for the reader to understand the study and the wording of article.
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METHODS
Headline containing what was needed in order to perform the study and all the factors that were considered for it.
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Our purpose was to describe the injury patterns in 10 highschool sports and identify the injury risk as measured by theobserved injury patterns
States the purpose once again for this article, states the study being performed.
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14-16
References are made with small numbers. Provided at the very last page of article.
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cohort observational design
More data is being collect to support our hypothesis.
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generally
Introduced to our "qualifier", expresses some doubt on whether the injuries are a result of a single causative variable.
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6 million high schoolyouth from approximately 20000 high schools participate
We are seeing more of this quantitative data, numbers are pretty popular in this article.
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Key Words:
Headlines throughout the article, this helps navigate the reader through the article making it less hectic.
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Results:
Quantitative data is shown and used throughout the article, we see more further along. Confirms our hypothesis.
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Objective:
The Objective is one of the first things we see, introduces us to our main topic for this article.
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John W. Powell, PhD, ATC*; Kim D. Barber-Foss, MS, ATCt
Two authors. One has their PhD while the other has their Master of Science. Both are Certified Athletic Trainers. Both come from different institutions. Powell studied kinesiology, while Barber-Foss studied biomechanics.
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Journal of Athletic Training 1999;34(3):277-284C by the National Athletic Trainers' Association, Incwww.nata.org/jat
The "NATA" is a professional membership association for certified athletic trainers and whomever support the athletic training profession.
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